bsc in actuarial science 2006-07webapp.science.hku.hk/sr3/download/bsc(ac)2006-07.pdf · stat1304...

2006-2007 Faculty of Science The University of Hong Kong

Contents

- 1 -

SECTION I List of BSc(ActuarSc) Courses on offer in 2006/07 and 2007/08 2- 4

SECTION II BSc(ActuarSc) Programmes on offer in 2006/07 5 - 12

SECTION III BSc(ActuarSc) Course Descriptions 13 - 51

SECTION IV BSc(ActuarSc) Degree Regulations 52- 57

SECTION V Teaching Weeks 58

Actuarial Science

- 2 -

Available in Semester offered in 2006-07

Examination held in 2006-07 New

Course Code

Old Course Code

Course name Credits Prerequisite Co- requisite

2006-2007

2007-2008

1 = 1st sem2 = 2nd sem0 = year long

Dec May

STAT1304 STAT0104 The Analysis of Sample Surveys 6 HKCEE Mathematics or AS-level Mathematics & Statistics or A-level Pure Mathematics or equivalent AND taking or having taken STAT0301 or STAT0302 or STAT1301 or STAT1306 or STAT1801 or ECON1003 or ECOL2006 or STAT1000 or STAT1003 or STAT1007 or STAT0601 or STAT1001 or STAT1006 or STAT1008 or STAT2001 or STAT0602.

Nil.* 2 ---

STAT1801 STAT1801 Probability and Statistics: Foundations of Actuarial Science

6 A-Level Pure Mathematics or AS-level Mathematics & Statistics or equivalent. (Students taking or having taken STAT0301 or STAT0302 or STAT1301 or STAT1306 or STAT1001 or STAT1003 or STAT1006 or STAT1007 or STAT1008 or STAT0601 or STAT0602 are not allowedto take this course.)

Nil. 1 ---

STAT1802 STAT1802 Financial Mathematics 6 A-level Pure Mathematics or AS-level Mathematics & Statistics or equivalent AND taking or having taken STAT1801 or STAT1302.

Nil. 2 ---

STAT2305 STAT0105 Quality Control and Management

6 STAT1301 or STAT1306 or STAT0301 or STAT1001 or STAT1801 or STAT0302 or ECON1003 or ECOL2006 or STAT0100 or STAT2802 or STAT0604 or STAT0605.

Nil.* 2 ---

STAT2306 STAT0106 Business Logistics 6 STAT1301 or STAT1306 or STAT0301 or STAT0302 or STAT1801 or ECON1003 or ECOL2006 or STAT1000 or STAT1001 or STAT1003 or STAT1006 or STAT1007 or STAT1008 or STAT2001 or STAT0601 or STAT0602. (Students taking or having taken MATH2901 are not allowed to take this course.)

Nil.* 1 ---

# This list only includes courses offered by the Department of Statistics and Actuarial Science. For other courses, please refer to

Section III course descriptions. ^ Availability of courses in 2007-2008 is subject to change. * For students admitted in or before the academic year 2002-03, the prerequisites of all Statistics courses can be treated as

prerequisites or co-requisites.

SECTION I List of BSc(ActuarSc) Courses# on offer in 2006/07 and 2007/08^

Actuarial Science

- 3 -



Course Code

Old Course Code


2006-2007

2007-2008


Dec May

STAT2312 STAT0114 Data Mining 6 STAT1801 or STAT1301 or STAT1306 or STAT0301 or STAT0302 or ECON1003 or ECOL2006 or STAT1000 or STAT1007 or STAT0601 or STAT0602 or STAT1001 or STAT1003 or STAT1006 or STAT1008 or STAT2001.

Nil.* 2 100% CA

STAT2801 STAT2801 Life Contingencies 6 (STAT1302 and STAT2315) or (STAT1802and taking or having taken STAT2802) or (STAT1302 and STAT1802) or (STAT0100 and STAT0113).

Nil.* 1 ---

STAT2802 STAT2802 Statistical Models 6 STAT1801. Nil. 1 ---

STAT2803 STAT2803 Stochastic Models 6 STAT1801. (Students taking or having taken STAT2303 or MATH2603 are not allowed to take this course.)

Nil. 1 ---

STAT2804 STAT0801 Linear Models and Forecasting 6 STAT1302 or STAT2802 or STAT0100 or STAT0605. (Students taking or having taken STAT2301 or STAT3301 or STAT0102 or SAT0604 or STAT3101 are not allowed to take this course.)

Nil.* 2

STAT2805 STAT0805 Credibility Theory and Loss Distributions

6 STAT1302 or STAT2802 or STAT3810 or STAT0100 or STAT0604 or STAT0605 or STAT0802.

Nil.* 1 ---

STAT2806 STAT0806 Financial Economics 6 STAT1302 or STAT2802 or STAT0100 or STAT0604 or STAT0605.

Nil.* 1 ---

STAT2807 --- Corporate Finance for Actuarial Science

6 (BUSI1002 and STAT1802) or (STAT2310 and STAT2315)

Nil 2 ---

STAT2808 --- Derivatives Markets 6 STAT1802 Nil 1 ---

STAT3302 STAT3102 Multivariate Data Analysis 6 STAT2301 or STAT2804 or STAT0102 or STAT0801 or STAT0604.

Nil.* 2 ---

STAT3304 STAT0111 STAT3601

Computer-aided Statistical Modelling

6 STAT2301 or STAT2804 or STAT0102 or STAT0801. (Students taking or having taken STAT3601 are not allowed to take this course.)

Nil.* 2 ---

STAT3305 STATxxxx Financial Data Analysis 6 STAT2309 or STAT2806 or ECON1001.

Nil. 2 ---

* For students admitted in or before the academic year 2002-03, the prerequisites of all Statistics courses can be treated as


Actuarial Science

- 4 -



Course Code

Old Course Code


2006-2007

2007-2008


Dec May

STAT3306 STAT3106 Selected Topics in Statistics 6 STAT2301 or STAT2804 or STAT0102 or STAT0801 or STAT0604.

Nil.* 2 ---

STAT3307 STAT3108 Project in Statistics 6 STAT2301 or (STAT2802 and STAT2804) or STAT0102 or STAT0604 or (STAT2802 and STAT0801). Approval is subject to past academic performance. Availability of this course to Actuarial Science students is also subject to a quota.

Nil.* 0 100% CA

STAT3308 STAT3110 Financial Engineering 6 (STAT2309 or STAT2806 or STAT0109 or STAT0806 for students admitted in 2004-05 or before) or (STAT2315 for students admitted in 2005-06 or thereafter)

Nil.* 1 ---

STAT3801 STAT3801 Advanced Life Contingencies 6 STAT2801. Nil. 2 ---

STAT3802 STAT3802 Advanced Contingencies 6 STAT3801. Nil. 1 ---

STAT3806 STAT3806 Investment and Asset Management

6 STAT3801 or (STAT2802, for students admitted in or before the academic year 2003-04).

Nil. 2 ---

STAT3807 STAT3807 Fundamentals of Actuarial Practice

6 STAT3801. Nil.* 1 ---

STAT3809 STAT3809 Current Topics in Actuarial Science

6 STAT3801 or (STAT2802, for students admitted in or before the academic year 2003-04).

Nil. --- --- ---

STAT3810 STAT0802 Risk Theory 6 (Taking or having taken STAT2803) or STAT2303 or MATH2603 or STAT0103.

Nil.* 2 ---

STAT3811 STAT0803 Survival Analysis 6 (Taking or having taken STAT2802) or STAT2301 or STAT2801 or STAT0102 or STAT0604 or STAT0801.

Nil.* 2 ---

STAT3812 STAT0115STAT0807

Stochastic Calculus with Financial Applications

6 STAT2303 or STAT2803 or MATH2603 or STAT0103.

Nil.* 2 ---



Actuarial Science

- 5 -

BSc in Actuarial Science Programme (for students admitted in 2006-07 or thereafter)

Introductory Courses Advanced Courses

Year I Year II Year III

Core courses STAT1801 Probability and Statistics: 6 Foundations of Actuarial Science STAT1802 Financial Mathematics 6 BUSI1002 Introduction to Accounting 6 CSIS1117 Computer Programming I 6 MATH1813 Mathematical Methods for 6 Actuarial Science 6 credits from the following courses BIOC1001 Basic Biochemistry 6 BIOL0128 Biological Techniques, 6 Instrumentation and Data Processing CHEM1301 Basic Inorganic Chemistry 6 CHEM1406 Basic Organic Chemistry 6 MATH1001 Fundamental Concepts 6 of Mathematics MATH1101 Linear Algebra I 6 MATH1201 Calculus I 6 PHYS1111 Introduction to Mechanics 6 PHYS1112 Electricity and Magnetism 6 PHYS1113 Heat, Light and Waves 6 PHYS1314 Modern Physics 6 POLI1003 Making Sense of Politics 6 PSYC1001 Introduction to Psychology 6 SOCI1001 Introduction to Sociology 6 SOCI1003 Introduction to Anthropology 6 SOWK1001 Introduction to Social 6 Administration SOWK1003 Introduction to Social 6 Welfare Any other course approved by the Department of Statistics and Actuarial Science

(36 credits)

Core courses STAT2801 Life Contingencies 6 STAT2802 Statistical Models 6 STAT2803 Stochastic Models 6 STAT2804 Linear Models and 6 Forecasting STAT2808 Derivatives Markets 6 STAT3801 Advanced Life 6 Contingencies STAT3810 Risk Theory 6 6 credits from the following courses BUSI0019 Intermediate Accounting I 6 BUSI0020 Intermediate Accounting II 6 ECON2101 Microeconomic Theory 6 ECON2102 Macroeconomic Theory 6 ECON2113 Microeconomic Analysis 6 ECON2114 Macroeconomic Analysis 6 FINA0102 Financial Markets and 6 Institutions FINA0302 Theories of Corporate 6 Finance MATH2303 Matrix Theory and Its 6 Applications MATH2601 Numerical Analysis 6 STAT2807 Corporate Finance for 6 Actuarial Science Any other course approved by the Department of Statistics and Actuarial Science

(48 credits)

Core courses STAT2805 Credibility Theory and 6 Loss Distributions STAT2806 Financial Economics 6STAT3806 Investment and Asset 6 Management STAT3811 Survival Analysis 6STAT3812 Stochastic Calculus with 6 Financial Applications STAT3305 Financial Data Analysis 6

12 credits from the following courses: STAT2306 Business Logistics 6STAT2312 Data Mining 6STAT3302 Multivariate Data Analysis 6STAT3304 Computer-aided Statistical 6 Modelling STAT3306 Selected Topics in Statistics 6STAT3307 Project in Statistics 6STAT3802 Advanced Contingencies 6STAT3807 Fundamentals of Actuarial 6 Practice STAT3809 Current Topics in Actuarial 6 Science

6 credits from the following courses BUSI0019 Intermediate Accounting I 6 BUSI0020 Intermediate Accounting II 6 ECON2101 Microeconomic Theory 6 ECON2102 Macroeconomic Theory 6 ECON2113 Microeconomic Analysis 6 ECON2114 Macroeconomic Analysis 6 FINA0102 Financial Markets and 6 Institutions FINA0302 Theories of Corporate 6 Finance MATH2303 Matrix Theory and Its 6 Applications MATH2601 Numerical Analysis 6 STAT2807 Corporate Finance for 6 Actuarial Science Any other course approved by the Department of Statistics and Actuarial Science

(54 credits)

Elective courses Any two courses from Business, Economics 12 and Finance

(12 credits)

General Education / Broadening CSCI0001 Practical Chinese Language 3 Course for Science Students ECEN1801 Academic English for 3 Science Students 6 credits of any Broadening Course 6

(12 credits)

General Education / Broadening ECEN2802 Advanced English for 3 Science Students One 3-credit course selected from 3 “Humanities and Social Sciences studies” One 3-credit course selected from 3 “Culture and Value Studies” or any Inter-faculty Electives Course outside BSC(ActuarSc) Syllabus At least 3 credits of any other Broadening 3 Course

(12 credits)

Elective courses Any advanced level course selected 6from Inter/Intra Faculty Courses

(6 credits)

SECTION II BSc(ActuarSc) Programmes on offer in 2006/2007

Actuarial Science

- 6 -

Actuarial Science

- 7 -

BSc in Actuarial Science Programme (for students admitted in 2005-06)



Core courses STAT1801 Probability and Statistics: 6 Foundations of Actuarial Science STAT1802 Financial Mathematics 6 BUSI1002 Introduction to Accounting 6 CSIS1117 Computer Programming 6 MATH1803 Basic Mathematics III 6 6 credits from the following courses BIOC1001 Basic Biochemistry 6 BIOL1104 Biological Techniques, 6 Instrumentation and Data Processing CHEM1301 Basic Inorganic Chemistry 6 CHEM1406 Basic Organic Chemistry 6 MATH1101 Linear Algebra I 6 MATH1201 Calculus I 6 MATH1800 Elements of Discrete 6 Mathematics PHYS1111 Introduction to Mechanics 6 PHYS1112 Electricity and Magnetism 6 PHYS1113 Heat, Light and Waves 6 PHYS1314 Modern Physics 6 POLI1003 Making Sense of Politics 6 PSYC1001 Introduction to Psychology 6 SOCI1001 Introduction to Sociology 6 SOCI1003 Introduction to Anthropology 6 SOWK1001 Introduction to Social 6 Administration SOWK1003 Introduction to Social 6 Welfare Any other course approved by the Department of Statistics and Actuarial Science

(36 credits)

Core courses STAT2801 Life Contingencies 6 STAT2802 Statistical Models 6 STAT2803 Stochastic Models 6 STAT2804 Linear Models and 6 Forecasting STAT2808 Derivatives Markets 6 STAT3801 Advanced Life 6 Contingencies STAT3810 Risk Theory 6 6 credits from the following courses BUSI0019 Intermediate Accounting I 6 BUSI0020 Intermediate Accounting II 6 ECON2101 Microeconomic Theory 6 ECON2102 Macroeconomic Theory 6 ECON2113 Microeconomic Analysis 6 ECON2114 Macroeconomic Analysis 6 FINA0102 Financial Markets and 6 Institutions FINA0302 Theories of Corporate 6 Finance MATH2303 Matrix Theory and Its 6 Applications MATH2601 Numerical Analysis 6 STAT2807 Corporate Finance for 6 Actuarial Science Any other course approved by the Department of Statistics and Actuarial Science

(48 credits)

Core courses STAT2805 Credibility Theory and 6 Loss Distributions STAT2806 Financial Economics 6STAT3806 Investment and Asset 6 Management STAT3811 Survival Analysis 6STAT3812 Stochastic Calculus with 6 Financial Applications STAT3305 Financial Data Analysis 6

12 credits from the following courses: STAT2306 Business Logistics 6STAT2312 Data Mining 6STAT3302 Multivariate Data Analysis 6STAT3304 Computer-aided Statistical 6 Modelling STAT3306 Selected Topics in Statistics 6STAT3307 Project in Statistics 6STAT3802 Advanced Contingencies 6STAT3807 Fundamentals of Actuarial 6 Practice STAT3809 Current Topics in Actuarial 6 Science

6 credits from the following courses BUSI0019 Intermediate Accounting I 6 BUSI0020 Intermediate Accounting II 6 ECON2101 Microeconomic Theory 6 ECON2102 Macroeconomic Theory 6 ECON2113 Microeconomic Analysis 6 ECON2114 Macroeconomic Analysis 6 FINA0102 Financial Markets and 6 Institutions FINA0302 Theories of Corporate 6 Finance MATH2303 Matrix Theory and Its 6 Applications MATH2601 Numerical Analysis 6 STAT2807 Corporate Finance for 6 Actuarial Science Any other course approved by the Department of Statistics and Actuarial Science

(54 credits)


(12 credits)

General Education / Broadening CSCI0001 Practical Chinese Language 3 Course for Science Students ECEN1801 Academic English for 3 Science Students 6 credits of any Broadening Course 6

(12 credits)

General Education / Broadening ECEN2802 Advanced English for 3 Science Students One 3-credit course selected from 3 “Humanities and Social Sciences studies” One 3-credit course selected from 3 “Culture and Value Studies” or any Inter-faculty Electives Course outside BSC(ActuarSc) Syllabus At least 3 credits of any other Broadening 3 Course

(12 credits)

Elective courses Any advanced level course selected 6from Inter/Intra Faculty Courses

(6 credits)

Actuarial Science

- 8 -

Actuarial Science

- 9 -

BSc in Actuarial Science Programme (for students admitted in 2004-05)



Core courses STAT1801 Probability and Statistics: 6 Foundations of Actuarial Science STAT1802 Financial Mathematics 6 BUSI1002 Introduction to Accounting 6 CSIS1117 Computer Programming 6 MATH1803 Basic Mathematics III 6 6 credits from the following courses BIOC1001 Basic Biochemistry 6 BIOL1104 Biological Techniques, 6 Instrumentation and Data Processing CHEM1301 Basic Inorganic Chemistry 6 CHEM1406 Basic Organic Chemistry 6 MATH1101 Linear Algebra I 6 PHYS1111 Introduction to Mechanics 6 PHYS1112 Electricity and Magnetism 6 PHYS1113 Heat, Light and Waves 6 POLI1002 Fundamentals of Public 6 Administration POLI1003 Making Sense of Politics 6 PSYC1001 Introduction to Psychology 6 PSYC1002 How the Mind Works: 6 Explorations in Basic Thinking Processes PSYC1003 Psychology and Life: 6 Personality and Social Influence SOCI1001 Introduction to Sociology 6 SOCI1002 Discovering Society 6 SOCI1003 Introduction to Anthropology 6 SOWK1001 Introduction to Social 6 Administration SOWK1003 Introduction to Social 6 Welfare Any other course approved by the Department of Statistics and Actuarial Science

(36 credits)

Core courses STAT2801 Life Contingencies 6 STAT2802 Statistical Models 6 STAT2803 Stochastic Models 6 STAT2804 Linear Models and 6 Forecasting STAT3801 Advanced Life 6 Contingencies STAT3810 Risk Theory 6 12 credits from the following courses BUSI0011 Corporate Finance 6 BUSI0017 Financial Markets and 6 Institutions BUSI0019 Intermediate Accounting I 6 BUSI0020 Intermediate Accounting II 6 ECON2101 Microeconomic Theory 6 ECON2102 Macroeconomic Theory 6 ECON2113 Microeconomic Analysis 6 ECON2114 Macroeconomic Analysis 6 FINA0102 Financial Markets and 6 Institutions FINA0302 Corporate Finance 6 MATH2303 Matrix Theory and Its 6 Applications MATH2601 Numerical Analysis 6 STAT2807 Corporate Finance for 6 Actuarial Science Any other course approved by the Department of Statistics and Actuarial Science

(48 credits)

Core courses STAT2805 Credibility Theory and 6 Loss Distributions STAT2806 Financial Economics 6 STAT3806 Investment and Asset 6 Management STAT3811 Survival Analysis 6 STAT3812 Stochastic Calculus with 6 Financial Applications STAT3305 Financial Data Analysis 6 12 credits from the following courses: STAT2306 Business Logistics 6 STAT2312 Data Mining 6 STAT3302 Multivariate Data Analysis 6 STAT3304 Computer-aided Statistical 6 Modelling STAT3306 Selected Topics in Statistics 6 STAT3307 Project in Statistics 6 STAT3308 Financial Engineering 6 STAT3802 Advanced Contingencies 6 STAT3807 Fundamentals of Actuarial 6 Practice STAT3809 Current Topics in Actuarial 6 Science Any other course approved by the Department of Statistics and Actuarial Science

(48 credits)

Elective courses

Any two courses from Business, Economics and Finance (with BUSI0016, being equivalent to FINA1002, considered as an introductory level Finance course) 12

(12 credits)

General Education / Broadening

CSCI0001 Practical Chinese Language 3 Course for Science Students ECEN1801 Academic English for 3 Science Students 6 credits of any Broadening Course 6

(12 credits)


ECEN2802 Advanced Academic English 3 for Science Students One 3-credit course selected from 3 “Humanities and Social Sciences studies” One 3-credit course selected from 3 “Culture and Value Studies” or any Inter-faculty Electives Course outside BSC(ActuarSc) Syllabus At least 3 credits of any other Broadening 3 Course

(12 credits)

Elective courses

Any advanced level course selected 12 from Inter/Intra Faculty Courses

(12 credits)

Actuarial Science

- 10 -

Actuarial Science

- 11 -

BSc in Actuarial Science Programme (for students admitted in 2003-04 or before)



Core courses STAT1801 Probability and Statistics: 6 Foundations of Actuarial Science STAT1802 Financial Mathematics 6 BUSI1002 Introduction to Accounting 6 CSIS0911 Computer Concepts and 6 Programming MATH1803 Basic Mathematics III 6 6 credits from the following courses POLI1002 Fundamentals of Public 6 Administration POLI1003 Making Sense of Politics 6 PSYC1001 Introduction to Psychology 6 PSYC1002 How the Mind Works: 6 Explorations in Basic Thinking Processes PSYC1003 Psychology and Life: 6 Personality and Social Influence SOCI1001 Introduction to Sociology 6 SOCI1002 Discovering Society 6 SOCI1003 Introduction to Anthropology 6 SOWK1001 Introduction to Social 6 Administration SOWK1003 Introduction to Social 6 Welfare Any other course approved by the Department of Statistics and Actuarial Science

(36 credits)

Core courses STAT2801 Life Contingencies 6 STAT2802 Statistical Models 6 STAT2803 Stochastic Models 6 STAT2804/STAT0801 Linear Models 6 and Forecasting STAT3801 Advanced Life 6 Contingencies STAT3810/STAT0802 Risk Theory 6 12 credits from the following courses BUSI0016 Introduction to Finance * 6 BUSI0011 Corporate Finance 6 BUSI0017 Financial Markets and 6 Institutions BUSI0019 Intermediate Accounting I 6 BUSI0020 Intermediate Accounting II 6 ECON2101 Microeconomic Theory 6 ECON2102 Macroeconomic Theory 6 ECON2113 Microeconomic Analysis 6 ECON2114 Macroeconomic Analysis 6 FINA1002 Introduction to Finance 6 FINA0102 Financial Markets and 6 Institutions FINA0302 Corporate Finance 6 MATH2303 Matrix Theory and Its 6 Applications MATH2601 Numerical Analysis 6 Any other course approved by the Department of Statistics and Actuarial Science

(48 credits)

Core courses STAT2805/STAT0805 Credibility Theory 6 and Loss Distributions STAT2806/STAT0806 Financial 6 Economics STAT3802 Advanced Contingencies 6STAT3806 Investment and Asset 6 Management STAT3811/STAT0803 Survival Analysis 6STAT3812/STAT0807 Stochastic 6 Calculus with Financial Applications 12 credits from the following courses: STAT1304/STAT0104 The Analysis of 6 Sample Surveys * STAT2305/STAT0105 Quality Control 6 and Management STAT2306/STAT0106 Business Logistics 6STAT2312/STAT0114 Data Mining 6STAT2807 Corporate Finance for 6 Actuarial Science STAT3302/STAT3102 Multivariate Data 6 Analysis STAT3304/STAT0111 Computer-aided 6 Statistical Modelling STAT3306/STAT3106 Selected Topics in 6 Statistics STAT3307/STAT3108 Project in Statistics 6STAT3308/STAT3110 Financial 6 Engineering STAT3807 Application of Basic 6 Actuarial Practice STAT3809 Current Topics in Actuarial 6 Science Any other course approved by the Department of Statistics and Actuarial Science

(48 credits)


(12 credits)

General Education / Broadening CSSC1001 Practical Chinese Language 3 Course for Social Sciences Students ECEN1901 Academic English for 3 Social Sciences Students 6 credits of any Broadening Course 6

(12 credits)


ECEN2902 English for Professional 3 Communication for Social Sciences Students One 3-credit course selected from 3 “Science and technology Studies” One 3-credit course selected from 3 “Culture and Value Studies” or any Inter-faculty Electives Course outside BSC(ActuarSc) Syllabus At least 3 credits of any other Broadening 3 Course

(12 credits)

Elective courses

Any advanced/senior level course selected 12from Inter/Intra Faculty Courses

(12 credits)

Note: STATxxxx/STATxxxx = new course code/old course code. * STAT1304 / STAT0104 The Analysis of Sample Surveys, with a code prefix of 1, is not regarded as an advanced course. BUSI0016 Introduction to Finance is not regarded as an advanced course.

Actuarial Science

- 12 -

Actuarial Science

- 13 -

SECTION III Course Descriptions

BIOC1001 Basic Biochemistry (6 credits)

Course Co-ordinator Dr K. F. J. Chan

Maximum class size 300

Aim This course is designed to present an overview of biochemistry and to provide an understanding of the basic mechanisms underlying life processes. It is an independent course which can be taken by students from various disciplines. The course also prepares students for further studies in Biochemistry and Molecular Biology.

Contents structure and function of biomolecules enzymes and coenzymes basic bioenergetics carbohydrates pH and buffers lipids and nucleic acids separation and purification techniques some key metabolic processes amino acids and proteins some bioregulation mechanisms

Prerequisite AS Biology or AS Chemistry

Co-requisite Nil

Teaching 24 lectures; tutorials may be scheduled

Duration One semester (1st semester)

Assessment One 2-hour written final examination (70% weighting) and one 1-hour mid-term written examination (30% weighting)

Textbook Nelson and Cox: Lehninger Principles of Biochemistry (Worth, 2004, 4th ed.)

References Any other Biochemistry textbooks, e.g., Berg, Tymoczko and Stryer: Biochemistry (Freeman, 2002, 5th ed.)

BIOL0128 Biological Techniques, Instrumentation and Data Processing (6 credits)

Course Co-ordinator Dr B. K. C. Chow

Maximum class size ---

Aim/Follow-up This course is designed to provide students with a wide range of basic biological techniques, principles of instruments and data processing. Basic concepts in protein/DNA purification including precautions, detection and verification of purified products are included. The course is also opened to those who wish to take a major or a minor in Biology for General Science.

Contents This laboratory-intensive course takes the student through most the major techniques in biological sciences, including microscopy, cell disruption, cellular and subcellular fractionation, precipitation, centrifugation, electrophoresis, immunological detection of protein, spectrophotometry, chromatorgraphy, DNA and protein sequence analysis.

Prerequisites HKCEE Biology or equivalent

Co-requisite Nil

Teaching 24 lectures and 8 x 3-hours laboratory sessions


Assessment One 2-hour written examination (80% weighting) and continuous assessment (20% weighting)

Textbooks/References A short list of reading material on selected topics will be provided during the course.

Actuarial Science

- 14 -

BUSI1002 Introduction to Accounting (6 credits)

Course Co-ordinator (Head of Department)


Aim/Contents The course will cover the principles of double entry book-keeping, the interpretation of financial statements, the issues raised by corporate regulation, and the use of management information for decision making.

Prerequisite or Co-requisite

Teaching

Duration

Assessment

Textbook/References

BUSI0019 Intermediate Accounting I (6 credits) Course Co-ordinator (Head of Department)


Aim/Contents The course provides an in-depth knowledge of the first part of financial accounting. It covers the environment of financial accounting and the development of accounting standards; conceptual framework underlying financial accounting; statement of income and retained earnings; balance sheet; accounting and the time value of money; cash and receivables; valuation of inventories; acquisition and disposition of property, plant and equipment; depreciation and depletion; intangible assets; current liabilities and contingencies; long-term liabilities; temporary investments and long-term investments; and revenue recognition.

Prerequisites

BUSI1002 Introduction to Accounting

Co-requisite

Teaching

Duration

Assessment

References

Actuarial Science

- 15 -

BUSI0020 Intermediate Accounting II (6 credits) Course Co-ordinator (Head of Department)


Aim/Contents This course provides an in-depth knowledge of the second part of financial accounting. It covers stockholders’ equity; dilutive securities and earnings per share calculations; accounting for income taxes; accounting for pensions and postretirement benefits; accounting for leases; accounting changes and error analysis; statements of cash flows; basic financial statement analysis; and full disclosure in financial reporting.

Prerequisites

BUSI0019 Intermediate Accounting I

Co-requisite

Teaching

Duration

Assessment

References

Actuarial Science

- 16 -

CHEM1301 Basic Inorganic Chemistry * (6 credits)

Course Co-ordinator Dr H. Z. Sun


Aim To provide students with the basic principles and knowledge in inorganic chemistry and to introduce its relevance to biological processes and materials science.

Contents The course includes: acid-base theory; thermodynamics, structures and bonding theory of transition metal compounds; magnetic and electronic absorption properties of transition metal ions; reaction types; thermodynamic and kinetic aspects in reactions of coordination compounds; transition metals in biology. Main group elements; chemistry of main group elements; multiple bonding in main group elements; main group elements in biology. Structures and bonding of solids; insulators, conductors and semiconductors; metal, ionic solids and minerals.

Prerequisite AL Chemistry

Co-requisite Nil

Teaching 24 lectures, 7 tutorials and 6 × 3 hour laboratory sessions


Assessment One 2-hour written examination (75% weighting) and coursework assessment which includes practical work (25% weighting)

Textbooks/References Cotton F. A. & Wilkinson G., Gaus P. L.: Basic Inorganic Chemistry (Wiley & Sons, 1995, 3rd ed.) Shriver D. F., Atkins P. W., Langford C. H.: Inorganic Chemistry (OUP, 1991)

* Students who are taking or have taken any one of the courses CHEM1301, CHEM1406, CHEM1502 and CHEM1506 cannot

take CHEM1001.

CHEM1406 Basic Organic Chemistry * (6 credits)

Course Co-ordinator Dr P. Chiu


Aim To educate the student in the terminology, methodology and problem solving skills appropriate to the study of carbon based molecules in both their academic and practical applications. This course is a pre-requisite for CHEM2402, Intermediate Organic Chemistry.

Contents The course includes: chemistry of alkanes, alkenes and alkynes, stereochemistry, nucleophilic substitutions, elimination reactions, addition reactions, radical reactions and chemistry of alcohols and ethers.

Prerequisite AL or AS Chemistry

Co-requisite CHEM2507 are preferred

Teaching 24 lectures, 5 tutorials and 5 × 4 hours laboratory

Duration One semester (1st semester, repeated in 2nd semester)

Assessment One 2-hour written examination (70% weighting) and coursework (30% weighting)

Textbooks/References McMurry, J.: Organic Chemistry (Brooks / Cole, 2004, 6th ed.) John W. Lehman: Operational Organic Chemistry (Prentice Hall, 1999, 3rd ed.)

* CHEM1401 and CHEM1406 are mutually exclusive. Students who are taking or have taken any one of the courses CHEM1301, CHEM1406, CHEM1502 and CHEM1506 cannot

take CHEM1001.

Actuarial Science

- 17 -

CSCI0001 Practical Chinese Language Course for Science Students * (3 credits)

Course Co-ordinator Mr K. W. Wong Maximum class size --- Aim/Contents 1. Practical Chinese Writing Skills

a. Classical and modern Chinese b. The Chinese language: characteristics and usage c. Basic grammar of modern Chinese 2. Chinese Characters a. Traditional characters b. Simplified characters c. Variant forms 3. Letter-writing a. Business letter writing techniques b. Official letter writing techniques 4. Office Documents a. Notices and announcements b. Proposals c. Minutes and reports of meetings 5. Chinese for Special Purposes a. An introduction to science and technology in ancient China b. Reader-based scientific/technical writings c. Styles and rhetoric of scientific/technical writings 6. Presentation and Communication Techniques a. Communication and presentation techniques b. Discussion and the art of persuasion

Prerequisite Nil Co-requisite Nil Teaching One class-contact hour per week for 13 weeks Duration One semester (1st semester) Assessment One 2-hour examination (50% weighting) plus coursework including 4 assignments (50% weighting) * This course is compulsory for all BSc students.

Actuarial Science

- 18 -

CSIS1117 Computer Programming I (6 credits)



Aim/Contents The goal of this course is for students to learn the general principles of programming, including how to design, implement, document, test, and debug programs.

Prerequisite Nil

Teaching

Duration

Assessment One three-hour written examination (50% weighting) and coursework (50% weighting).

Textbook/References

ECEN1801 Academic English for Science Students * (3 credits)

Course Co-ordinator

Dr David Gardner Maximum class size ---

Aim and Content To build confidence in the use of English for writing and speaking about science. The focus is on: 1. Writing an essay which meets the requirements of good academic writing, in particular making

appropriate use of published sources and avoiding plagiarism. 2. Speaking in an organized and coherent manner.

Prerequisite Nil

Co-requisite Nil

Teaching One 2-hours class per week for 12 weeks


Assessment By coursework and examination

* This course is compulsory for all B.Sc. students.

Actuarial Science

- 19 -

ECEN2802 Advanced English for Science Students * (3 credits) Course Co-ordinator

Dr David Gardner Maximum class size ---

Aim and Content To develop a sense of audience awareness in writing, to develop spontaneous speaking skills and to individualise language learning. The focus is on: 1. Writing a short article for one of a range of web journals each with a different audience and topic

focus (individual choice). 2. Spontaneous (i.e. unrehearsed) discussion through participation in seminars and one-to-one

discussions. 3. Developing independent language learning skills to help students address their individual language

problems and focus on their future language needs.

Prerequisite ECEN1801

Co-requisite Nil

Teaching One 2-hours class per week for 12 weeks

Duration One semester (2nd semester)

Assessment By coursework and examination

* This course is compulsory for all B.Sc. students.

ECON2101 Microeconomic Theory (6 credits) Course Co-ordinator (Head of Department)


Aim/Contents The laws of demand, supply, returns, and costs; price and output determination in different market situations; theory of factor pricing and income distribution; general equilibrium; interest and capital.

Prerequisites

ECON1001 Introduction to Economics I. Not open to student taking or having taken ECON2113 Microeconomic analysis.

Co-requisite

Teaching

Duration

Assessment

References

Actuarial Science

- 20 -

ECON2102 Macroeconomic Theory (6 credits) Course Co-ordinator (Head of Department)


Aim/Contents Theories of income, employment, and the price level; analysis of secular growth and business fluctuations; introduction to monetary and fiscal policy.

Prerequisites

ECON1001 Introduction to Economics I. Not open to students taking or having taken ECON2114 Macroeconomic Analysis.

Co-requisite

Teaching

Duration

Assessment

References

ECON2113 Microeconomic Analysis (6 credits) Course Co-ordinator (Head of Department)


Aim/Contents

Examine microeconomic issues with applications. Topics include: consumer behaviour, cost structure, market structure, theory of the firm, factor market and general equilibrium.

Prerequisites

ECON1001 Introduction to Economics I. Open only to non-B.Econ, non-B.Fin and non-B.Econ&Fin students; candidates who have taken ECON2101 Microeconomic Theory are not allowed to take this course.

Co-requisite

Teaching

Duration

Assessment

References

Actuarial Science

- 21 -

ECON2114 Macroeconomic Analysis (6 credits)



Aim/Contents

Economics of inflation, unemployment, income and output determination in the short run and the long run. Money, interest rates and exchange rates. Macroeconomic stabilization policies and open economy macroeconomic issues.

Prerequisites

ECON1001 Introduction to Economics I. Open only to non-B.Econ, non-B.Fin and non-B.Econ&Fin students; candidates who have taken ECON2102 Macroeconomic Theory are not allowed to take this course.

Co-requisite

Teaching

Duration

Assessment

References

FINA0102 Financial Markets and Institutions (6 credits) Course Co-ordinator (Head of Department)


Aim/Contents This course is designed to introduce and analyze the structure, operations and functions of the financial system. The course starts with an introduction to financial markets’ role in the economy, and the determination of interest rates and valuation of cash flows. The course then discusses various financial markets including money markets, bond markets, mortgage markets, stock markets and derivatives markets. Financial institutions will be discussed with an emphasis on their major functions and operations.

Prerequisites

ECON1001 Introduction to Economics I and FINA1003 Corporate Finance.

Co-requisite Nil

Teaching

Duration

Assessment

References

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FINA0302 Theories of Corporate Finance (6 credits)



Aim/Contents A course on the advanced treatment of corporate financial decisions. Topics to be covered include corporate valuation; cost of capital; capital structure; leasing; mergers and acquisitions; options; warrants; and convertible bonds.

Prerequisites

ECON1001 Introduction to Economics I and BUSI0016/FINA1002 Introduction to Finance or FINA1003 Corporate Finance.

Co-requisite Nil

Teaching

Duration

Assessment

References

MATH1001 Fundamental Concepts of Mathematics (6 credits)

Course Co-ordinator

(Head of Department) Maximum class size ---

Aim/Follow-up To provide students with solid background on basic concepts of mathematics and methods of mathematical proofs. Such basic concepts and methods are important for subsequent studies in all higher level courses in mathematics. This course can be followed by (or taken concurrently with) Calculus I/II, Linear algebra I/II and other more advanced courses.

Contents • Statement calculus. • Mathematical proofs. • Elementary set theory. • Relations and mappings. • Finite and infinite sets. • The natural numbers and mathematical induction. • The real numbers, their arithmetic and completeness. • Axiomatic systems in mathematics. • Models of the natural numbers, the real numbers and non-euclidean geometries. • Examples of groups.

Prerequisites HKCEE Additional Mathematics or AS Mathematics and Statistics or equivalent. Students with good grades in HKCEE Mathematics and have strong interests in mathematics may also apply.

Co-requisite Nil

Teaching 3 hours per week of lectures and example classes. Tutorials in alternate weeks


Assessment One 2½-hour written examination (50% weighting) together with coursework assessment (50% weighting)

Textbooks/References To be announced by the course instructor

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MATH1101 Linear Algebra I (6 credits)

Course Co-ordinator


Aim/Follow-up The course is a foundation course for all Mathematics students. It can be followed by Linear Algebra II and other more advanced courses in mathematics.

Contents • Basic Logic. • Notation of sets and functions. • Systems of linear equations: solutions and elementary row operations, Gaussian elimination,

homogeneous systems, applications. • Matrix algebra: basic operations, matrix inverse, elementary matrices, partition matrices. • Determinants and diagonalization: evaluation and properties of the determinant, diagonalization and

eigenvalues, applications. • The vector space R

n: subspaces and dimension, matrix rank, similarity and diagonalization, linear

transformations.

Prerequisites AL Pure Mathematics

Co-requisite Nil Teaching 3 hours per week of lectures and example classes. Tutorials in alternate weeks


Assessment One 2½-hour written examination (50% weighting) together with coursework assessment (50%

weighting)

Textbooks/References To be announced by the instructor

MATH1201 Calculus I (6 credits)

Course Co-ordinator


Aim/Follow-up The course is a foundation course for all Mathematics students, to be followed by Calculus II and other more advanced courses in mathematics.

Contents • The Real Number System: the completeness axiom and inequalities. • Functions and Limits. • Sequences of numbers. • Continuous Functions: Basic properties, intermediate value theorem. • Differentiation: basic rules, local optimization problems, other application. • Integrations: indefinite and definite integrals, the fundamental theorem of calculus, substitution of

variables, applications. • Transcendental functions and other topics: exponential and logarithmic functions, L'Hopital's rule,

inverse trigonometric functions. • Techniques of integration and improper integrals.

Prerequisites AL Pure Mathematics

Co-requisite Nil

Teaching 3 hours per week of lectures and example classes. Tutorials in alternate weeks



Textbooks / References To be announced by the instructor

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MATH1813 Mathematical Methods for Actuarial Science (6 credits)

Course Co-ordinator


Aim/Follow-up To provide students with a background of calculus of several variables and linear algebra that can be applied in actuarial science.

Contents • Matrices, systems of linear equations, determinants; • Eigenvalues and eigenvectors, diagonalization of matrices; • Quadratic functions and their standard forms; • Functions of several variables; partial differentiation; directional derivatives; • Taylor approximations; • Maxima and minima; Lagrangian multipliers; • Double and triple integrals; • Simple differential equations.

Prerequisites AL Pure Mathematics or equivalent. Mathematics students (MATH, MAEF, CMOR and MAPH) and students who are taking or have taken MATH1803 are not allowed to take this course unless prior approval has been obtained from the Department of Mathematics.

Co-requisite Nil

Teaching 3 hours per week of lectures and student-centred learning



Textbooks/References To be announced by the course instructor

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MATH2303 Matrix Theory and Its Applications (6 credits)



Aim/Follow-up Matrix theory has a close connection with other mathematical subjects such as linear algebra, functional analysis, and combinatorics. It also plays an important role in the development of many subjects in science, engineering, and social sciences. In this course, students will be taught the fundamentals of matrix analysis and its application to various kinds of practical problems. Mathematical software will be used in the course, so that students can learn how to use the computer to solve matrix problems.

Contents Eigenvalues and eigenvectors: similarities, applications on difference equations and differential equations. Orthogonality: inner products and the induced norms, orthogonality of null spaces and column spaces, applications to over-or under-determined systems, least squares fit. Unitary, normal, and hermitian matrices: Schur’s triangularization theorem. Variational description of eigenvalues: applications in optimization and in eigenvalue estimation. Singular value decomposition: polar decomposition, pseudo inverse, spectral norm of matrices, interlacing inequalities for singular values. Jordan form and applications. Nonnegative matrices: Perron’s Theorem and applications.

Prerequisites 1. (MATH1101 and MATH1102); or 2. (MATH1811 / MATH1812 or MATH1803); or 3. (MATH1801 / MATH1802 or MATH1807)

Co-requisite Nil

Teaching 3 periods/week for one semester, of lectures and student-centred learning, with up to 30 lectures


Assessment One 2½-hour written examination (50% weighting) together with coursework assessment (50% weighting) based mainly on class tests and/or assignments.

Textbooks (References)

Jack L. Goldberg: Matrix Theory with Applications (McGraw-Hill, 1991) Steven J. Leon: Linear Algebra with Applications (Macmillan, 1994, 4th ed.) Chris Rorres & Howard Anton: Applications of Linear Algebra (Wiley, 1984, 3rd ed.) Roger A. Horn & Charles R. Johnson: Matrix Analysis (Cambridge University Press, 1987) The Mathworks, Inc.: The Student Edition of Matlab (Version 4 for Microsoft Windows) (Prentice - Hall, 1995)

MATH2601 Numerical Analysis (6 credits)



Aim/Follow-up This course covers both the theoretical and practical aspects of Numerical Analysis. Emphasis will be on basic principles and practical methods of solution, using high speed computers.

Contents Round off errors. Polynomial interpolation. Solution of equations of one variable. Direct and iterative methods for solving linear systems. Numerical differentiation and integration. Simple initial value problems.

Prerequisites 1. (Two out of MATH1101, MATH1102, MATH1201, MATH1202, one of which should be MATH1201 or MATH1202) or (MATH1811 / MATH1812 or MATH1803) or (MATH1801 / MATH1802 or MATH1807); and

2. Knowledge of a programming language

Co-requisite Nil

Teaching 3 periods/week for one semester, of lectures and student-centred learning, with up to 30 lectures


Assessment One 2½-hour written examination (50% weighting) together with coursework assessment (50% weighting) based mainly on class tests and/or assignments.

Textbooks (References)

H.K.U. Lecture Notes A. Ralston and P. Rabinowitz: A First Course in Numerical Analysis (McGraw-Hill) K. E. Atkinson: An Introduction to Numerical Analysis (Wiley, 1989)

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PHYS1111 Introduction to Mechanics * (6 credits)

Course Co-ordinator Dr C. C. Ling Maximum class size --- Aim This course aims at providing students a solid foundation in Newtonian mechanics with the treatment of

calculus. Students are expected to have basic knowledge of calculus and vectors. Contents Dimension analysis, Newton’s laws of motion, conservation of linear momentum, angular momentum

and its conservation, system of many particles, motion of rigid bodies, gravitational field, validity of Newton’s laws.

Prerequisites 1. HKCEE Additional Mathematics or AS Mathematics & Statistics or AL Pure Mathematics; and

2. AL/AS Physics or Engineering Science Co-requisite Nil Teaching 36 hours of lecture and 6 hours of tutorial Duration One semester (1st semester) Assessment 60% examination and 40% continuous assessment (assignments and tests) Textbook R. D. Knight: Physics for Scientists and Engineers (Pearson, 2004) References D. Halliday, R. Resnick, and J. Walker: Fundamentals of Physics (John Wiley & Sons, 2005, 7th ed.)

R. Serway and J. W. Jewett: Physics for Scientists and Engineers (Thomson, 2004, 6th ed.) P. A. Tipler and G. Mosca: Physics for Scientists and Engineers (Freeman, 2004, 5th ed.)

* Not available to those who have passed PHYS0111 or PHYS1312 unless approved by course coordinator.

PHYS1112 Electricity and Magnetism * (6 credits)

Course Co-ordinator Dr J. C. S. Pun Maximum class size --- Aim This course aims at introducing the basic physics of electromagnetism. Contents Columb’s law, electric field and potential, Gauss law, capacitance, electric current and circuit, magnetic

field, Biot-Savart law, Ampere law, induction and inductance, Faraday’s law and Lenz’s law, electromagnetic oscillation and AC circuitry.

Prerequisites 1. HKCEE Additional Mathematics or AS Mathematics & Statistics or AL Pure Mathematics; and

2. AL/AS Physics or Engineering Science Co-requisite Nil Teaching 36 hours of lecture and example class Duration One semester (1st semester) Assessment One 2-hour written examination (50%) with course works (50%) Textbook R. D. Knight: Physics for Scientists and Engineers (Pearson, 2004) References D. Halliday, R. Resnick, and J. Walker: Fundamentals of Physics (John Wiley & Sons, 2005, 7th ed.)



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PHYS1113 Heat, Light and Waves * (6 credits)

Course Co-ordinator Dr K. M. Lee Maximum class size --- Aim To appreciate the underlying physical principles of heat, thermodynamics, waves and related

physics. This course is designed to prepare the students with basic knowledge for the more advanced courses in the department.

Contents Topics include: Heat and temperature, basic concept of the laws of thermodynamics, kinetic

theory of gases, fluids, waves, geometrical optics, interference and diffraction. Prerequisites 1. HKCEE Additional Mathematics or AS Mathematics & Statistics or AL Pure

Mathematics; and 2. AL/AS Physics or Engineering Science

Co-requisite Nil Teaching This course consists of 36 lectures and tutorials. Duration One semester (2nd semester) Assessment One 2-hour written examination (50%) with course works (50%) Textbook R. D. Knight: Physics for Scientists and Engineers (Pearson, 2004) References D. Halliday, R. Resnick, and J. Walker: Fundamentals of Physics (John Wiley & Sons, 2005, 7th ed.)



PHYS1314 Modern Physics (6 credits)

Course Co-ordinator Professor F. C. Zhang Maximum class size --- Aim This course is designed to provide students with a comprehensive introduction to the concepts

and ideas that form the basis of “modern physics” - a term used to describe the revolutionary developments that took place in physics during the 20th-century and are continuing today.

Contents The course will cover the transition from classical to quantum physics and will include an

introduction to Einstein’s special theory of relativity, the origin, development and applications of quantum theory, (including the Schrodinger wave-equation and the Heisenberg uncertainty principle), the wave-particle duality of nature, and an introduction to the fundamental structure of matter.

Prerequisites 1. HKCEE Additional Mathematics or AS Mathematics & Statistics or AL Pure

Mathematics; and 2. AL/AS Physics or Engineering Science

Co-requisite Nil Teaching This course is a combination of 36 lectures and tutorials. Duration One semester (2nd semester) Assessment One 2-hour written examination (50% weighting) and course work (50% weighting) Textbook K. Krane: Modern Physics (John Wiley, 1996) References A. Beiser: Concepts of Modern Physics (McGraw-Hill, 1995)

J. Bernstein, P. M. Fishbank & S. Gasiorowicz: Modern Physics (Prentice Hall, 2000) R. A. Serway, C. J. Moses & C. A. Moyer: Modern Physics (Thomson, 2005, 3rd ed.) P. T. Tipler & R. A. Llewellyn: Modern Physics (W. H. Freeman, 1999)

Website http://www.physics.hku.hk/~phys1314/

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POLI1003 Making Sense of Politics (6 credits)

Course Co-ordinator


Aim/Contents It is an introductory course offered to students with no previous background in political science. It covers the basic concepts, institutions and processes that one would encounter in the study of politics. Emphasis will be placed on the application of concepts to current issues, including (but not restricted to) that of Hong Kong.

Prerequisite Nil

Co-requisite Nil

Teaching

Duration

Assessment Unless otherwise specified by the Department of Politics and Public Administration, the final grading for each course will be determined by performance in the examination and assessment of coursework in a ratio to be announced by individual course instructors at the beginning of each semester. The weighting of examination ranges from 40-60% of total course assessment.

Textbooks/References

PSYC1001 Introduction to Psychology (6 credits)



Aim/Contents Discussion of basic concepts in psychology and a preliminary survey of representative work carried out in various areas of psychological investigation, together with an investigation at some length of one such area.

Prerequisites or Co-requisites

Students taking or having taken PSYC1002 or PSYC1003 are not allowed to take this course.

Teaching

Duration

Assessment 40% coursework, 60% examination.


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SOCI1001 Introduction to Sociology (6 credits) Course Co-ordinator (Head of Department)


Aim/Contents This course introduces students to the nature of sociological enquiry and the basic concepts used in sociological analysis. After some reference to the influence of inheritance and environment on human social behaviour, the course will focus on key concepts used in the analysis of cultures, social structures, social processes and social change. The relationship between research, concepts and contemporary theory will be explored at an introductory level.


Teaching

Duration



SOCI1003 Introduction to Anthropology (6 credits) Course Co-ordinator (Head of Department)


Aim This course will explore, through cross-cultural comparison, key social and cultural issues, such as marriage and the family, caste and class, ethnicity and identity, language and culture, state formation, economic value, gender and religion. The course will draw on studies of the peoples and cultures of Asia.

Contents


Teaching

Duration



Actuarial Science

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SOWK1001 Introduction to Social Administration (6 credits) Course Co-ordinator (Head of Department)


Aim This is a basic course in the understanding of social policy in the areas of human resources planning and education, land use and housing, ageing and social security, family and support services, etc.

Contents


Teaching

Duration



SOWK1003 Introduction to Social Welfare (6 credits) Course Co-ordinator (Head of Department)


Aim This course introduces the basic concepts and function of social welfare. Analysis will be undertaken of the range and variety of social services in Hong Kong including family services, youth centres, outreaching services, school social work, community development, rehabilitation, elderly services, probation and correctional services.

Contents


Teaching

Duration

Assessment

40% coursework, 60% examination.


Actuarial Science

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STAT1304/STAT0104 The Analysis of Sample Surveys * (6 credits) Course Co-ordinator (Head of Department)


Aim/Contents We often try to infer the characteristics of a population by taking a sample from that population. The validity and the efficiency of the findings depend on the quality of the sample. This course considers the basic theory and practical applications for the different sampling design and analysis. Examples on marketing surveys, social surveys and opinion polls will be considered.

Prerequisites

HKCEE Mathematics or AS-level Mathematics & Statistics or A-level Pure Mathematics or equivalent AND taking or having taken STAT0301 or STAT0302 or STAT1301 or STAT1306 or STAT1801 or ECON1003 or ECOL2006 or STAT1000 or STAT1003 or STAT1007 or STAT0601 or STAT1001 or STAT1006 or STAT1008 or STAT2001 or STAT0602.

Co-requisite Nil

Teaching The course consists of 2 lectures and 1 tutorial per week.


Assessment One two-hour written examination (75% weighting), and a coursework assessment (25% weighting) based on assignments, tutorials, a test, and a project

References R. L. Scheaffer, W. Mendenhall, & R. L. Ott: Elementary Survey Sampling (Duxbury Press, 1996, 5th edition) S. L. Lohr: Sampling: Design and Analysis (Duxbury Press, 1996) L. Kish: Survey Sampling (John Wiley & Sons, Inc., 1995) P. Salant & D. A. Dillman: How to Conduct Your Own Survey (John Wiley & Sons, Inc., 1994)



Actuarial Science

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STAT1801 Probability and Statistics: Foundations of Actuarial Science (6 credits)



Aim/Contents This course provides the basic foundations in probability and statistics for students in B.Sc.(ActuarSc), though the course is also suitable for mathematically-able students from other quantitative curricula. Probability theory underpins the study of statistics. The course aims firstly to develop skills in probabilistic analysis for problems involving randomness. Random variables and probability distributions are studied in depth. The concepts of statistics are then introduced, guided by motivating examples.

Prerequisites A-Level Pure Mathematics or AS-level Mathematics & Statistics or equivalent. (Students taking or having taken STAT0301 or STAT0302 or STAT1301 or STAT1306 or STAT1001 or STAT1003 or STAT1006 or STAT1007 or STAT1008 or STAT0601 or STAT0602 are not allowed to take this course.)

Co-requisite Nil



Assessment One 2-hour written examination (75% weighting) and a coursework assessment (25% weighting) based on assignments, tutorials, and a class test

Textbooks ---

References M. A. Bean: Probability: The Science of Uncertainty with Applications to Investments, Insurance, and Engineering (Brooks/Cole (Thomas Learning)) Gonick, Larry & Smith, Woollcott: The Cartoon Guide to Statistics (Harper Perennial, 1993) R. V. Hogg & E. A. Tanis: Probability and Statistical Inference (Englewood Cliffs: Prentice Hall, 1993, 4th edition) H. J. Larson: Introduction to Probability Theory and Statistical Inference (John Wiley & Sons, 1982) B. W. Lindgren: Statistical Theory (New York: Chapman Hall, 1993) I. Miller & M. Miller: John E. Freund’s Mathematical Statistics (Englewood Cliffs: Prentice-Hall, 2004, 7th edition) D. S. Moore: Statistics: Concepts and Controversies (Freeman, 1997, 4th edition) R. J. Wonnacott & T. H. Wonnacott: Introductory Statistics (New York: Wiley, 1990, 5th edition)

Actuarial Science

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STAT1802 Financial Mathematics (6 credits)



Aim This course introduces the mathematics of finance which plays an important role in the development of basic actuarial techniques. Introduction to risk management and practical applications of the actuarial functions are also covered.

Contents Key topics include: measurement of interest, annuities certain; discounted cash flow analysis; yield rates; amortization schedules and sinking funds; bonds and related securities; practical applications such as real estate mortgage, short sales and modern financial instruments; stochastic approaches to interest; financial derivatives including forwards, futures, options and swaps; insurance, collars and other strategies; introduction to risk management.

Prerequisites A-level Pure Mathematics or AS-level Mathematics & Statistics or equivalent AND taking or having taken STAT1801 or STAT1302.

Co-requisite Nil



Assessment One 3-hour written examination (75% weighting) and a coursework assessment (25% weighting) based on assignments, tutorials and class tests

Textbooks Broverman, S. A.: Mathematics of Investment and Credit (ACTEX Publications - Mad River Books: Connecticut, 2004, 3rd edition) McDonald, R. L.: Derivatives Markets (Addison-Wesley: New York, 2005, 2nd edition)

References Kellison, S. G.: The Theory of Interest (Irwin: Illinois, 1991, 2nd edition)

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STAT2305/STAT0105 Quality Control and Management * (6 credits) Course Co-ordinator (Head of Department)


Aim The successful control of quality in production is a matter of primary importance to a company’s profitability and good-will. This course provides an overview of quality compromise which involves both the producer and the consumer. It presents a variety of statistical solutions including control charts, acceptance sampling plans, sequential sampling procedures, analysis of measurement errors, reliability, and life-testing. Contemporary quality management systems such as total quality control, quality control circle, zero defects, and ISO-9000 will be introduced. The student is brought to the frontier of today’s quality control and management ideas.

Contents Probability distributions and their application, process variability, sampling and statistical inference. Process control, variables and attributes control charts. Operating characteristic curves. Single, double and sequential sampling plans. MIL-STD-105D and Dodge-Romig schemes. Variables sampling. Reliability and life-testing. Management of quality control, total quality control, zero defects, ISO-9000.

Prerequisites STAT1301 or STAT1306 or STAT0301 or STAT1001 or STAT1801 or STAT0302 or ECON1003 or ECOL2006 or STAT0100 or STAT2802 or STAT0604 or STAT0605

Co-requisite Nil



Assessment One 2-hour examination (75% weighting), and a coursework assessment (25% weighting) based on assignments and a class test

References

A. J. Duncan: Quality Control and Industrial Statistics (Irwin, Homewood, 1986, 5th edition) D. C. Montgomery: Statistical Quality Control (New York: Wiley, 1996, 3rd edition) J. Banks: Principles of Quality Control (New York: Wiley, 1989) E. L. Grant & R. S. Leavenworth: Statistical Quality Control (New York: McGraw-Hill, 1988, 6th edition)I. D. Hill: An Introduction to Sampling Inspection (The Institute of Engineering Inspection Monograph, London, 1961) G. B. Wetherill: Sampling Inspection and Quality Control (London: Methuen, 1977, 2nd edition) A. V. Feigenbaum: Total Quality Control (New York: McGraw-Hill, 1983, 3rd edition)



Actuarial Science

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STAT2306/STAT0106 Business Logistics * (6 credits) Course Co-ordinator (Head of Department)


Aim Originally, the word ‘logistics’ described the strategic aspects involved in moving and supplying armies and navies. Usage grew to include games of strategy, such as chess. Modern business corporations are increasingly using logistics as a management tool, for example, in capital budgeting problems, production planning, scheduling, transportation or in deciding a location for a new factory. This course addresses the business applications of logistics.

Contents Optimization techniques applied to problems in the allocation of resources, financial planning and transportation; linear programming, dynamic programming, integer programming; network analysis, critical path methods; queuing theory; probability modelling tools in production and inventory control.

Prerequisites STAT1301 or STAT1306 or STAT0301 or STAT0302 or STAT1801 or ECON1003 or ECOL2006 or STAT1000 or STAT1001 or STAT1003 or STAT1006 or STAT1007 or STAT1008 or STAT2001 or STAT0601 or STAT0602. (Students taking or having taken MATH2901 are not allowed to take this course.)

Co-requisite Nil



Assessment One 2-hour examination (75% weighting), and coursework (25% weighting) based on assignments, tutorials and a class test

References F. S. Hillier & G. J. Liberman: Introduction to Operations Research (Holden Day, 1980, 3rd edition) L. R. Foulds: Optimization techniques, an introduction (New York: Springer-Verlag Inc., 1981) H. M. Wagner: Principles of Operations Research – with Applications to Managerial Decisions (India: Prentice Hall, 1974, eastern economy edition) Hamdy A. Taha: Operations Research – an introduction (Collier Macmillan International Edition) M. Sasieni, A. Yaspan, & L. Friedman: Operations Research: Methods and Problems (Wiley International Edition, 1959) Plan & Kochenberger: Operations Research for Managerial Decisions (Irwin Series in Quantitative Analysis for Business, Richard D. Irwin, Inc., 1972) S. K. Gupta & J. Cozzolino: Fundamentals of Operations Research for Management (Holden-Day Inc., 1974)



Actuarial Science

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STAT2312/STAT0114 Data Mining * (6 credits) Course Co-ordinator (Head of Department)


Aim With an explosion in information technology in the past decade, vast amounts of data appear in a variety of fields such as finance, marketing research, customer relations management, medicine and healthcare. The challenge of understanding these data with the aim of creating new knowledge and finding new relationships among data attributes has led to the innovative usage of statistical methodologies and development of new ones. In this process, a new area called data mining is spawned. This course provides a comprehensive and practical coverage of essential data mining concepts and statistical models for data mining.

Contents Data pre-processing, association rules, classification and regression trees, neural networks, and cluster analysis.

Prerequisites STAT1801 or STAT1301 or STAT1306 or STAT0301 or STAT0302 or ECON1003 or ECOL2006 or STAT1000 or STAT1007 or STAT0601 or STAT0602 or STAT1001 or STAT1003 or STAT1006 or STAT1008 or STAT2001

Co-requisite Nil

Teaching The course consists of 3 lectures and 1 computer lab session per week.


Assessment 100% coursework assessment (30% assignments, 40% tests and 30% group project)

References Larose, D. T.: Discovering Knowledge in Data: An Introduction to Data Mining (Wiley, 2005) Tan, P. N., Steinback, M. and Kumar, V.: Introduction to Data Mining (Addison Wesley, 2006) T. Hastie, R. Tibshirani, & J. Friedeman: The Elements of Statistical Learning: Data Mining, Inference, and Prediction (New York: Springer 2001) M. Kantardzic: Data Mining: Concepts, Models, Methods, and Algorithms (Wiley, 2003)A. Webb: Statistical Pattern Recognition (Wiley, 2002, 2nd edition) P. Giudici: Applied Data Mining: Statistical Methods for Business and Industry (Wiley, 2003) J. Han & M. Kamber: Data Mining: Concepts and Techniques (Morgan Kaufmann, 2001) M. J. A. Berry & G. S. Linoff: Data Mining Techniques: For Marketing, Sales and Customer Support (Wiley, 2004, 2nd edition)



Actuarial Science

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STAT2801 Life Contingencies * (6 credits) Course Co-ordinator (Head of Department)


Aim The major objectives of this course are to integrate life contingencies into a full probabilistic framework and to demonstrate the wide variety of constructs which are then possible to build from basic models at the foundation of actuarial science. The time-until-death random variable will be the basic building block by which models for life insurances, designed to reduce the financial impact of the random event of untimely death, will be developed. Techniques for calculation benefit premiums and benefit reserves of various types of life annuity and insurance will be discussed.

Contents Key topics include: survival distributions; life table functions; life insurance; life annuities; benefit premiums; benefit reserves.

Prerequisites

(STAT1302 and STAT2315) or (STAT1802 and taking or having taken STAT2802) or (STAT1302 and STAT1802) or (STAT0100 and STAT0113)

Co-requisite Nil



Assessment One 3-hour written examination (75% weighting), and a coursework assessment (25% weighting) based on assignments, tutorials and class tests

Textbooks Bowers, Gerber, Hickman, Jones & Nesbitt: Actuarial Mathematics (1997, 2nd edition)



STAT2802 Statistical Models (6 credits)



Aim This course builds on STAT1801, introducing further the concepts and methods of statistics. Through the disciplines of statistical modelling, inference and decision making, students will be equipped with both quantitative skills and qualitative perceptions essential for making rigorous statistical analysis of real-life data.

Contents Random Variables and Probability Distributions; Function of Random Variables; Sampling Distributions; Limiting Distributions; Estimation Theory; Confidence Intervals; Hypothesis Testing; Goodness of Fit Test.

Prerequisite STAT1801

Co-requisite Nil



Assessment One 3-hour written paper (75% weighting), and a coursework assessment (25% weighting) based on assignments, tutorials and a class test

References R. V. Hogg J. W. McKean & A. T. Craig: Introduction to Mathematical Statistics (Pearson Prentice Hall, 2005, 6th edition) S. F. Arnold: Mathematical Statistics (Prentice-Hall, 1990) I. Miller & M. Miller: John E. Freund’s Mathematical Statistics with Applications (Pearson Education International, 2004, 7th edition)

Actuarial Science

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STAT2803 Stochastic Models (6 credits) Course Co-ordinator (Head of Department)


Aim This is an introductory course in probability modelling. A range of important topics in stochastic processes will be discussed.

Contents Introduction to probability theory, Conditional probability and expectation, Markov chains, random walk models, Poisson process, and Brownian Motion. Birth-and-death process, branching process and renewal process may also be covered (if time permits).

Prerequisite STAT1801. (Students taking or having taken STAT2303 or MATH2603 are not allowed to take this course.)

Co-requisite Nil



Assessment One 3-hour written examination (75% weighting), and a coursework assessment (25% weighting) based on assignments and a class test

Textbooks S. M. Ross: Introduction to Probability Models (8th edition)

STAT2804/STAT0801 Linear Models and Forecasting * (6 credits) Course Co-ordinator (Head of Department)


Aim This course deals with applied statistical methods of linear models and investigates various forecasting procedures through time series analysis.

Contents Regression and multiple linear regression; predicting; time series models including autoregressive, moving average, autoregressive-moving average and integrated models; forecasting.

Prerequisites

STAT1302 or STAT2802 or STAT0100 or STAT0605. (Students taking or having taken STAT2301 or STAT3301 or STAT0102 or SAT0604 or STAT3101 are not allowed to take this course.)

Co-requisite Nil

Teaching The course consists of 3 lectures and 1 tutorial per week


Assessment One 3-hour written examination (75% weighting), and a coursework assessment (25% weighting) based on assignments, tutorials and a class test

Textbooks R. S. Pindyck & D. L. Rubinfeld: Econometric Models and Economic Forecasts (McGraw-Hill, 1998, 4th edition)

References ---



Actuarial Science

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STAT2805/STAT0805 Credibility Theory and Loss Distributions * (6 credits)



Aim Credibility is an example of a statistical estimate. The idea of credibility is very useful in premium calculation. Insurance loss varies according to the business nature, what distribution should be used to fit a particular loss is both of theoretical interest and practical importance. This course covers important actuarial and statistical methods.

Contents Topics on credibility include: Limited fluctuation approach, Buhlman’s approach, Bayesian approach, and their applications. Topics on loss distribution will be: Some often used distributions and properties, truncation and modification, compound distributions, and mixed models.

Prerequisites

STAT1302 or STAT2802 or STAT3810 or STAT0100 or STAT0604 or STAT0605 or STAT0802

Co-requisite Nil




Textbooks S. A. Klugman, H. H. Panjer, & G. E. Willmot: Loss Models: From Data to Decisions (2004, 2nd edition)

References Foundations of Casualty Actuarial Science (Casualty Actuarial Society, 2001, 4th edition) H. C. Mahler & C. G. Dean: Credibility



STAT2806/STAT0806 Financial Economics * (6 credits) Course Co-ordinator (Head of Department)


Aim/Follow-up This course covers the skills necessary to construct and apply discrete stochastic models to value financial derivatives.

Contents Introduction to financial market, discrete time asset pricing models and valuation of derivative securities.

Prerequisites

STAT1302 or STAT2802 or STAT0100 or STAT0604 or STAT0605

Co-requisite Nil



Assessment One 3-hour written examination (75% weighting), and a coursework assessment (25% weighting) based on assignments, tutorials, and a class test

Textbooks H. H. Panjer: Financial Economics with Applications to Investments, Insurance and Pensions (chapters 2,3,5, and 6)

References J. Hull: Options, Futures and other Derivatives (2002, 5th edition)



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STAT2807 Corporate Finance for Actuarial Science (6 credits) Course Co-ordinator (Head of Department)


Aim This course is designed for actuarial science students to receive VEE-Corporate Finance from Society of Actuaries. The objective of this course is to introduce students to the fundamental principles of corporate finance. The course will provide students with a systematic framework within which to evaluate investment and financing decisions for corporations.

Contents The first part of the course will give an introduction to corporate finance and provide an overview of some topics covered in STAT1802 and STAT2315, These include: financial markets and companies; present value and net present value, financial instruments and dividends derivatives market, no-arbitrage pricing theory, binomial model and Black-Scholes option pricing formula. The main part of the course will focus on some important topics of corporate finance including: capital structure and dividend policy, financial leverage and firm value, market efficiency, risk and return, investment decision using Markowitz mean variance analysis, CAPM, long term financing, measures and performance assessment of financial performance using various measures.

Prerequisites (BUSI1002 and STAT1802) or (STAT2310 and STAT2315)

Co-requisite Nil



Assessment One 3-hour written examination (75% weighting) and coursework (25% weighting) based on assignments, tutorials and a class test

Textbooks Brealey R. A., Myers S. C. and Allen, F.: Principles of Corporate Finance (2006, 8th edition)

References Ross, S. A., Westerfield, R. W. and Jaffe, J.: Corporate Finance (2005, 7th edition) Luenberger, D. G.: Investment Science (1998)

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STAT2808 Derivatives Markets (6 credits) Course Co-ordinator (Head of Department)


Aim This course aims at demonstrating the practical use of financial derivative products to analyse various problems arisen in financial engineering. Emphases are on the various option pricing formulae, hedging techniques and interest rate models.

Contents Review of futures, forwards and options and the concept of no arbitrage; put-call parity; valuation of European and American options using the binomial model; valuation of European and American options using the Black-Scholes option pricing model; the Greeks: their calculation and interpretation; implied volatility; delta hedging and the role of market-makers; exotic options: Asian options, barrier options, compound options, gap options and exchange options; diffusion process and Ito’s formula; interest rate models: bond options, caps and the Black model, market making and bond pricing, the Vasicek and Cox-Ingersoll-Ross bond price models, the binomial interest rate model and the Black-Derman-Toy model.

Prerequisites

STAT1802

Co-requisite Nil



Assessment One 2-hour written examination (75% weighting) and a coursework assessment (25% weighting) based on assignments, tutorials and a class test

Textbook McDonald, R. L.: Derivatives Markets (Addison Wesley, 2006, 2nd edition)

References Cuthbertson, K. and Nitzsche, D: Financial Engineering: Derivatives and Risk Management (Wiley, 2001) Dowd, K.: Measuring Market Risk (Wiley, 2002) Hull, J. C.: Options, Futures, and Other Derivatives (Prentice Hall, 2003, 5th edition) Alexander, C.: Market Models: A Guide to Financial Data Analysis (Wiley, 2001)

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STAT3302/STAT3102 Multivariate Data Analysis * (6 credits) Course Co-ordinator (Head of Department)


Aim In many designed experiments or observational studies the researchers are dealing with multivariate data, where each observation is a set of measurements taken on the same individual. These measurements are often correlated. The correlation prevents the use of univariate statistics to draw inferences. This course develops the statistical methods for analysing multivariate data through examples in various fields of application and hands-on experience with the statistical software SAS.

Contents Problems with multivariate data. Multivariate normality and transforms. Correlations: Simple, partial, multiple and canonical. Principal components analysis. Factor analysis. Mean structure for one sample. Problems for means of several samples. Multivariate analysis of variance. Discriminant analysis. Classification. Multivariate multiple regression. Clustering algorithms.

Prerequisites STAT2301 or STAT2804 or STAT0102 or STAT0801 or STAT0604

Co-requisite Nil




References R. A. Johnson & D. W. Wichern: Applied Multivariate Statistical Analysis (Prentice-Hall, 1998, 4th edition) M. S. Srivastava & E. M. Carter: An Introduction to Applied Multivariate Statistics (North-Holland, 1983)J. F. Hair, R. E. Anderson, R. L. Tatham, & W. C. Black: Multivariate Data Analysis with Readings (Prentice-Hall, 1995, 4th edition) D. F. Morrison: Multivariate Statistical Methods (McGraw-Hill Book Company, 1990, 3rd edition) G. A. F. Seber: Multivariate Observations (John Wiley & Sons, 1984) K. V. Mardia, J. T. Kent, & J. M. Bibby: Multivariate Analysis (Academic Press, 1979) SAS Manuals: SAS Language, Version 6 edition. SAS Procedures, Version 6 edition. SAS/STAT User’s Guide: Volumes 1 and 2, Version 6 edition. SAS/IML Software, Version 6 edition. SAS/INSIGHT User’s Guide, Version 6 edition



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STAT3304/STAT0111 Computer-aided Statistical Modelling * (6 credits)



Aim/Contents This is a computer-aided course of statistical modelling designed for the students who have taken STAT2301 Linear Statistical Analysis and like to see theory illustrated by practical computation. Numerous real data sets will be presented for modelling and analysis using statistical software, such as SAS, for gaining hands-on experience. The course also aims to develop skills of model selection and hypotheses formulation for testing, so that questions of interest can be properly formulated and answered. An important element deals with model review and improvement, when one’s first attempt does not adequately fit the data. Modern computer software such as SAS makes this interactive approach easier.

Prerequisites STAT2301 or STAT2804 or STAT0102 or STAT0801. (Students taking or having taken STAT3601 are not allowed to take this course.)

Co-requisite Nil

Teaching The course consists of 3 lectures and 1 tutorial class per week.


Assessment One three-hour written examination (50% weighting), and a coursework assessment (50% weighting) based on assignments, tutorials, and a test

Textbooks

On-line documents of the adopted statistical software

References B. L. Bowerman & R. T. O’Connell: Linear Statistical Models: An Applied Approach (PWS-Kent Publishing Company, 1990, 2nd edition) R. P. Cody & J. K. Smith: Applied Statistics and the SAS Programming Language (North-Holland, 1997, 4th edition) F. C. Dilorio & K. A. Hardy: Quick Start to Data Analysis with SAS (Duxbury Press, 1996) R. J. Elliott: Learning SAS in the Computer Lab (Duxbury Press, 2000, 2nd edition) R. H. Myers: Classical and Modern Regression with Applications (PWS-Kent Publishing Company, 1990, 2nd edition) P. McCullagh, and J. A. Nelder: Generalized Linear Models (London: Chapman and Hall, 1983) SAS Manuals: SAS Language, Version 6 edition. SAS Procedures, Version 6 edition. SAS/STAT User’s Guide: Volumes 1 and 2, Version 6 edition. SAS/IML Software, Version 6 edition. SAS/INSIGHT User’s Guide, Version 6 edition



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STAT3305 Financial Data Analysis (6 credits) Course Co-ordinator (Head of Department)


Aim This course focuses on understanding financial data and methods by which they are analyzed and interpreted. It aims at enhancing the students’ analytical skills of developing statistical models for analysing financial data. Techniques are motivated by examples and developed in the context of applications. Students will learn how to process financial data for purposes of financial analysis, estimation and testing of financial models and to understand better crucial aspects of financial market movements.

Contents Modelling non-normal return; financial time series models including ARCH models and generalisation, and threshold models; forecasting volatility and correlation; Monte Carlo Simulation and option pricing; Estimation of value at risk and expected tail loss; becktesting and stress testing.

Prerequisites STAT2309 or STAT2806 or ECON1001

Co-requisite Nil



Assessment One 2-hour examination (60% weighting), and a coursework assessment (40% weighting) based on assignments, tutorials and a class test

References Alexander, C.: Market Models: A Guide to Financial Data Analysis (Wiley, 2001) McDonald, R. L.: Derivatives Markets (Addison Wesley, 2006, 2nd edition) Tsay, R. S.: Analysis of Financial Time Series (Wiley, 2002)

STAT3306/STAT3106 Selected Topics in Statistics * (6 credits) Course Co-ordinator (Head of Department)


Aim/ Contents This course covers a range of topics necessary for work as a professional statistician. Statistical problems can be of many types. Whilst the statistician will face many non-standard situations, he/she is aided by well-developed theories and methods which bring many problems into a standard framework. This course presents such theory and methods. The emphasis may vary slightly from year to year.

Prerequisites STAT2301 or STAT2804 or STAT0102 or STAT0801 or STAT0604

Co-requisite Nil




Textbooks ---

References J. Shao: Mathematical Statistics (New York: Springer, 1999) R. J. Serfling: Approximation Theorems of Mathematical Statistics (New York: John Wiley & Sons, 1980)



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STAT3307/STAT3108 Project in Statistics * (6 credits) Course Co-ordinator (Head of Department)


Aim/Contents Each year a few projects suitable for Statistics or Actuarial Science major students will be offered. These projects, under the supervision of individual staff members involve the application of statistics and/or probability in interesting situations. They provide students with practical experience in approaching a real problem, in report writing and in oral presentation.

Prerequisites STAT2301 or (STAT2802 and STAT2804) or STAT0102 or STAT0604 or (STAT2802 and STAT0801). Approval is subject to past academic performance. Availability of this course to Actuarial Science students is also subject to a quota.

Co-requisite Nil

Teaching No regular lectures. The student is expected to meet and discuss with a supervisor regularly in the course of the project.

Duration Two semesters (start in 1st semester)

Assessment 80% written report, 20% oral presentation

Textbooks ---

References ---



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STAT3308/STAT3110 Financial Engineering * (6 credits) Course Co-ordinator (Head of Department)


Aim This course aims at demonstrating the practical use of financial derivative products to analyse various problems arisen in financial engineering. Emphases are on the various option pricing formulae, hedging techniques and interest rate models.

Contents Review of futures, forwards and options and the concept of no arbitrage; put-call parity; valuation of European and American options using the binomial model; valuation of European and American options using the Black-Scholes option pricing model; the Greeks: their calculation and interpretation; implied volatility; delta hedging and the role of market-makers; exotic options: Asian options, barrier options, compound options, gap options and exchange options; diffusion process and Ito’s formula; interest rate models: bond options, caps and the Black model, market making and bond pricing, the Vasicek and Cox-Ingersoll-Ross bond price models, the binomial interest rate model and the Black-Derman-Toy model.

Prerequisites 1. STAT2309 or STAT2806 or STAT0109 or STAT0806 (for students admitted in 2004-05 or before) 2. STAT2315 (for students admitted in 2005-06 or thereafter)

Co-requisite Nil



Assessment One 2-hour examination (75% weighting), and a coursework assessment (25% weighting) based on assignments, tutorials and a class test

Textbook McDonald, R. L.: Derivatives Markets (Addison Wesley, 2006, 2nd edition)

References Cuthbertson, K. and Nitzsche, D.: Financial Engineering: Derivatives and Risk Management (Wiley, 2001) Dowd, K.: Measuring Market Risk (Wiley, 2002) Hull, J. C.: Options, Futures, and Other Derivatives. Fifth Edition (Prentice Hall, 2003) Alexander, C.: Market Models: A Guide to Financial Data Analysis (Wiley, 2001)



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STAT3801 Advanced Life Contingencies (6 credits) Course Co-ordinator (Head of Department)


Aim This course builds on the material covered in STAT2801. Several extensions of the basic theory of life contingencies and insurance models are discussed. The analysis of financial benefits contingent on the time of death of a single life can be extended to benefits involving several lives. The multiple decrement models, instead of a single contingency of death, are studied. Applications of these advanced theories are given.

Contents Select and ultimate tables; multiple life functions; multiple decrement models; valuation for pension plans; nonforfeiture benefits and dividends including surrender values and paid-up insurance; gross premiums; gross premium reserves; alterations to life insurance policies.

Prerequisites STAT2801

Co-requisite Nil




Textbooks Bowers, N. L. et alli: Actuarial Mathematics (Society of Actuaries, 1997, 2nd ed) Jones, B. L.: Actuarial Models and Modelling: An Interactive Approach (ACTEX Publications, 2000)

STAT3802 Advanced Contingencies (6 credits)



Aim This course serves as a continuation of STAT3801 and extends the coverage of statistical models and actuarial techniques used in the field of life insurance. [Students are reminded that this course is a part of the requirement for the exemption from the Subject CT5 Contingencies of the Faculty and Institute of Actuaries, U.K.]

Contents Topics covers further analysis of the multiple decrement model; multiple state model; disability contracts; long-term care contracts; unit-linked contracts; with profit policies; emerging costs methods; profit testing; asset shares; cost of guarantees and options; applications of actuarial techniques to a wide range of insurance problems.


Co-requisite Nil




Textbooks Neill, A.: Life Contingencies (Heinemann, 1977) Bellis, C. et alli (Ed): Understanding Actuarial Management (Institute of Actuaries of Australia, 2003)

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STAT3806 Investment and Asset Management (6 credits) Course Co-ordinator (Head of Department)


Aim A problem faced by the insurance industry is that of interest rate fluctuations. Two useful methods for insulating the value of a portfolio of assets and liabilities against shifts in the term structure of interest rates are cash-flow matching and immunization.

Contents Introduction to financial markets, the structure of interest rates, cash-flow matching methods and immunization models.

Prerequisites STAT3801 or (STAT2802, for students admitted in or before the academic year 2003-04)

Co-requisite Nil




Textbooks F. J. Fabozzi: Handbook of Fixed Income Securities (McGraw-Hill, 2001, 6th edition) R. H. Stapleford & K. W. Steward: Introduction to the Formation of Investment Strategy for Life Insurance Companies and Pension Plans A. Bodie, A. Kane, & A. Marcus: Investments (McGraw-Hill, 2005, 6th edition) P. Jorion: Financial Risk Manager Handbook (Wiley, 2005, 3rd edition)

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STAT3807 Fundamentals of Actuarial Practice * (6 credits) Course Co-ordinator (Head of Department)


Aim/Contents This course covers basic principles of design, risk classification, pricing/ratemaking/funding, profit/surplus analysis, and valuation of financial security programmes including life, health, retirement plans, and property casualty insurance.


Co-requisite Nil


Duration One Semester (1st Semester)

Assessment One 2-hour written examination (75% weighting), and a coursework assessment (25% weighting) based on assignments, tutorials and a class tests

References Fundamentals of Private Pensions, (8th edition), 2004, by McGill, D. M., Brown, K. N., Healy, J. J., and Schieber, S. J., Chapters 21-23. [Candidates may also use Fundamentals of Private Pensions (7th edition), 1996, by McGill, D. M., Brown, K. N., Healy, J. J., and Schieber, S. J., Chapters 22-24] Group Insurance, (4th edition), 2003, edited by Bluhm, W. F., Chapters 1, 4 (exclude Federal Income Tax Implications and Statutory Considerations), 5-7, 11-13, 16 (Begin with Government Programs) 17-18, 22-23, 27-28, 32, 38-39, 42 (exclude from Network Development through Test Marketing) Individual Health Insurance, 1988, by O’Grady, F. T., Chapters 1, 2 (sections 2.1.6-2.1.8, and 2.4), 3, 4 (sections 4.6-4.7) Life Insurance Products and Finance, 2000, by Atkinson, D., and Dallas, J., Chapters 1-11 and 13. Introduction to Ratemaking and Loss Reserving for Property and Casualty Insurance, (2nd edition), 2001, by Brown, R. L., Chapters 1-4.



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STAT3809 Current Topics in Actuarial Science * (6 credits) Course Co-ordinator (Head of Department)


Aim/Contents This course covers a range of branches of professional actuarial work which may include topics from life, health, financial planning, property and casualty and reinsurance.

Prerequisite STAT3801 or (STAT2802, for students admitted in or before the academic year 2003-04)

Co-requisite Nil



Assessment One 2-hour written examination (75% weighting), and a coursework assessment (25% weighting) based on assignments, tutorials and a class tests

References --- * Not offered in 2006-2007

STAT3810/STAT0802 Risk Theory * (6 credits) Course Co-ordinator (Head of Department)


Aim Risk theory studies the deviations of financial results from those expected and deals with methods of avoiding inconvenient consequences from such deviations. This course deals with ruin theory; the applications of statistical models and stochastic processes to short-term insurance such as fire insurance, private motor insurance, and short-term disability insurance.

Contents Preliminaries; individual risk models; collective risk models; ruin theory; loss distribution; reinsurance; applications of risk theory.

Prerequisites

(Taking or having taken STAT2803) or STAT2303 or MATH2603 or STAT0103

Co-requisite Nil




Textbooks N. L. Bowers, H. U. Gerber, J. C. Hickman, D. A. Jones, & C. J. Nesbitt: Actuarial Mathematics (The Society of Actuaries, 1997, 2nd edition) S. A. Klugman, H. H. Panjer, & G. E. Willmot: Loss Models: From Data to Decisions (John Wiley & Sons, Inc., 2004, 2nd edition)



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STAT3811/STAT0803 Survival Analysis * (6 credits)



Aim This course is concerned with how models which predict the survival pattern of humans or other entities are established. This exercise is sometimes referred to as survival-model construction.

Contents The nature and properties of survival models, including both parametric and tabular models. Topics will be selected from: methods of estimating tabular models from both complete and incomplete data samples, including the actuarial, moment, and maximum likelihood estimation techniques; methods of estimation parametric models from both complete and incomplete data samples, including parametric models with concomitant variables; evaluation of estimators from sample data; valuation schedule exposure formulas; practical issues in survival model estimation; statistical models including binomial and Poisson models; practical methods of estimating age specific single decrement rates; analysis of age and duration; practical considerations in life-office data collection, monitoring actual experience against that expected.

Prerequisites (Taking or having taken STAT2802) or STAT2301 or STAT2801 or STAT0102 or STAT0604 or STAT0801

Co-requisite Nil




References Broverman, S. A.: ACTEX Study Manual for SOA Course 4 and CAS Exam 4 (ACTEX Publications, 2000) Cox, D. R. and Oakes, D.: Analysis of Survival Data (Chapman and Hall, 1984) Hosmer, D. W. and Lemeshow, S.: Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley, 1999) London, D.: Survival Models and Their Estimation (ACTEX Publications, 1997, 3rd ed.)

* For students admitted in or before the academic year 2002-03, the prerequisites of all Statistics courses can be treated as prerequisites or co-requisites.

STAT3812/STAT0807 Stochastic Calculus with Financial Applications * (6 credits)



Aim Stochastic calculus has become an essential tool in economics, insurance, finance and econometrics. This mathematical theory is the basis for pricing financial derivatives such as options and futures. This course is designed for students to develop professional skills in stochastic calculus and its applications to actuarial science and finance. Pure mathematical components of the course will be kept at a reasonably low level. The course begins with an overview of the basic concepts from probability theory. Stochastic processes, especially Brownian motion and martingales will be discussed.

Contents Ito’s stochastic integral, Ito’s formula and stochastic differential equations. After developing the theory of stochastic calculus, some applications to finance and actuarial science will be discussed.

Prerequisites STAT2303 or STAT2803 or MATH2603 or STAT0103

Co-requisite Nil



Assessment One 2-hour written examination (75% weighting), and a coursework assessment (25%) based on assignments, tutorials and a class test

References Alison Etheridge: A Course in Financial Calculus Oksendal: Stochastic Differential Equations (5th edition, chapters 2-5) Baxter & Rennie: Financial Calculus (chapter 3)

* For students admitted in or before the academic year 2002-03, the prerequisites of all Statistics courses can be treated as prerequisites or co-requisites.

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SECTION IV BSc(ActuarSc) Degree Regulations

REGULATIONS FOR THE DEGREE OF BACHELOR OF SCIENCE IN ACTUARIAL SCIENCE (BSc[ActuarSc]) (for students admitted in 2004-05 or thereafter) (See also General Regulations and Regulations for First Degree Curricula) The degree of Bachelor of Science in Actuarial Science is an undergraduate degree, awarded for the satisfactory completion of a prescribed course of specialist training in actuarial science. Definitions AS1(1) In these Regulations, and in the Syllabuses for the degree of BSc(ActuarSc), unless the context otherwise requires ⎯ ‘Course’ means a course of instruction which normally carries 6 credits or in some cases 3 credits or multiples of 3, leading to one examination paper as defined in the syllabus; ‘Paper’ means one or more of the following tests: a theoretical examination paper, a practical examination paper, an assessment of field practice, a thesis, and a dissertation, or other assignments as prescribed in the syllabus of the course leading to it; ‘Credits’ means the weight assigned to each course relative to the total study load. The number of credits is indicative of the contact hours and/or study time associated with the course on a weekly basis; ‘Pre-requisite’ means a course which candidates must have completed as specified to the satisfaction of the Head of Department before being permitted to take the course in question. Admission to the degree AS2 To be eligible for admission to the degree of Bachelor of Science in Actuarial Science candidates shall

(a) comply with the General Regulations; (b) comply with the Regulations for First Degree Curricula; and (c) complete the curriculum in accordance with the regulations that follow.

Length of study AS3 The curriculum shall normally extend over three academic years consisting of six semesters of full-time study, excluding the summer semesters. Candidates shall not in any case be permitted to complete the curriculum in more than four academic years, which being the maximum period of registration. Completion of the curriculum AS4 To complete the curriculum, candidates shall:

(a) satisfy the requirements prescribed in UG3 of the Regulations for First Degree Curricula(2); (b) enrol in not less than 180 credits of courses, unless otherwise required or permitted under the

Regulations; (c) follow the required number of compulsory and elective courses as prescribed in the syllabuses of the

equivalent of normally 60 credits for each year of study. For each semester, candidates shall select not less than 24 or more than 36 credits of courses, except for the last semester of study;

(1) This regulation should be read in conjunction with UG1 of the Regulations for First Degree Curricula. (2) The specific requirements applicable to candidates of this degree curriculum are spelt out in the syllabuses.

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(d) take a maximum of 84 credits of introductory level courses and the rest being advanced level courses as prescribed in the syllabuses over the entire period of studies; and

(e) take not less than 84 credits of advanced level courses from the Department of Statistics and Actuarial Science.

Selection of courses AS5 Candidates who wish to withdraw from a course at the beginning of each semester may do so up to 2 weeks after the commencement of the semester. Withdrawal beyond the 2-week deadline will not be permitted, except for medical or other reasons acceptable by the Faculty Board, and candidates’ withdrawal from any course without permission will be given a failed grade. Assessment and grades AS6 Candidates should be assessed for each of the courses which they have registered. The assessment may take one or a combination of forms as prescribed in the syllabuses and shall normally include the candidates’ coursework during the semester. Only those satisfactorily completed courses will earn credits. AS7 Candidates’ performance in a course shall be assessed with the grading system as prescribed in UG5 of the Regulations for First Degree Curricula. Failure in examination AS8 Candidates who fail in any course may, as directed by the Board of Examiners, be permitted to present themselves for re-assessment with or without repeating the failed course. The timing and the form(s) of re-assessment shall be decided by the Board of Examiners. Candidates shall not be allowed to repeat a course for which they have achieved a passed grade for upgrading purposes, nor shall they be permitted to repeat a course more than once. The failed grade will be recorded in the official transcripts. The new grade obtained after re-assessment of the same failed course will also be recorded and will replace the previous F grade in the calculation of the weighted grade point averages. As failed courses shall not be credited towards a degree, failed compulsory courses must be re-assessed. Absence from examination AS9 Candidates who are unable because of their illness to be present for any written examinations may apply for permission to present themselves for a supplementary examination to be held before the beginning of the first semester of the following academic year. Any such application shall be made on the form prescribed within two weeks of the first day of absence from any examination. Candidates who fail to satisfy the examiners in one or more papers in such a supplementary examination shall be considered under the provisions made in these Regulations for failure at the first attempt at the examination, except that a further supplementary examination shall not be permitted. Performance assessment AS10 At the end of each semester, candidates’ performance shall be assessed for the purposes of determining

(a) their eligibility for progression to an award of the degree; (b) their eligibility for the award; or (c) whether they be required to be discontinued from the programme.

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Progression of studies AS11 Candidates shall be permitted to progress if they have:

(a) not exceeded the maximum period of registration; and (b) accumulated not less than 30 credits and attained a GPA of 1.00 or above over the first and second

semesters; or (c) accumulated not less than 30 credits and attained a GPA of 1.50 or above over the third and fourth

semesters; or (d) accumulated not less than 30 credits and attained a GPA of 1.50 or above over the fifth and sixth

semesters; or (e) attained a semester GPA of 1.50 or above at the end of each subsequent semester.

Those who have not been able to fulfill the requirements above shall be recommended for discontinuation from the programme under General Regulation G12. Award of the degree AS12 To be eligible for the award of the degree of BSc(ActuarSc), candidates shall have:

(a) achieved a weighted GPA of 1.00 or above; (b) successfully accumulated a minimum of 180 credits; and (c) satisfied the requirements in UG3 of the Regulations for First Degree Curricula.

Degree classification AS13 A list shall be published of candidates successful in the examinations for each semester. A list of candidates who have successfully completed all the degree requirements shall be published in five divisions: First Class Honours, Second Class Honours Division One, Second Class Honours Division Two, Third Class Honours, Pass. The classification of honours shall be determined by the Board of the Faculty at its full discretion by taking the overall performance of candidates and other relevant factors into consideration. GENERAL FEATURES 1. Curriculum requirements Regulations AS1 to AS4 specify the requirements with which candidates have to comply for completion of the BSc(ActuarSc) degree programme. For the fulfillment of Regulation UG3 “Requirements for Graduation”, candidates shall complete successfully the language studies courses and the broadening courses as listed below. Furthermore they should obtain a pass in an Information Technology proficiency test, or successfully complete a 3-credit course in Information Technology. 2. Course registration Course registration will take place before the commencement of each semester. All introductory level courses should be taken in the first or second semester except those specified in the syllabuses. In course registration, candidates should pay special attention to the pre-requisite and co-requisite requirements of courses as specified in the syllabuses. A prerequisite is a course which candidates must have completed in accordance with the conditions stipulated by the Dean via the Head of Department before being permitted to take a course in question. A co-requisite is a course which candidates must take at the same time as the course in question. 3. Coursework and examination ratio Each 6-credit course with the prefix STAT leads to one written examination paper which will be two hours in length, unless otherwise specified. The final grading will be determined by performance in the examination and assessment of coursework in the ratio of 75:25, unless otherwise stated. For courses with other prefixes, please check with the respective departments about the duration of examination and assessment ratio.

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REGULATIONS FOR THE DEGREE OF BACHELOR OF SCIENCE IN ACTUARIAL SCIENCE (BSc[ActuarSc]) (for students admitted in 2002-03 and 2003-04) (See also General Regulations and Regulations for First Degree Curricula) The degree of Bachelor of Science in Actuarial Science is an undergraduate degree, awarded for the satisfactory completion of a prescribed course of specialist training in actuarial science. Definitions AS1(1) In these Regulations, and in the Syllabuses for the degree of BSc(ActuarSc), unless the context otherwise requires ⎯ ‘Course’ means a course of instruction which normally carries 6 credits or in some cases 3 credits or multiples of 3, leading to one examination paper as defined in the syllabus; ‘Paper’ means one or more of the following tests: a theoretical examination paper, a practical examination paper, an assessment of field practice, a thesis, and a dissertation, or other assignments as prescribed in the syllabus of the course leading to it; ‘Credits’ means the weight assigned to each course relative to the total study load. The number of credits is indicative of the contact hours and/or study time associated with the course on a weekly basis; ‘Pre-requisite’ means a course which candidates must have completed as specified to the satisfaction of the Head of Department before being permitted to take the course in question. Admission to the degree AS2 To be eligible for admission to the degree of Bachelor of Science in Actuarial Science candidates shall

(a) comply with the General Regulations; (b) comply with the Regulations for First Degree Curricula; and (c) complete the curriculum in accordance with the regulations that follow.

Length of study AS3 The curriculum shall normally extend over three academic years consisting of six semesters of full-time study, excluding the summer semesters. Candidates shall not in any case be permitted to complete the curriculum in more than four academic years, which being the maximum period of registration. Completion of the curriculum AS4 To complete the curriculum, candidates shall:

(a) satisfy the requirements prescribed in UG3 of the Regulations for First Degree Curricula(2); (b) enrol in not less than 180 credits of courses, unless otherwise required or permitted under the

Regulations; (c) follow the required number of compulsory and elective courses as prescribed in the syllabuses of the

equivalent of normally 60 credits for each year of study. For each semester, candidates shall select not less than 24 or more than 36 credits of courses, except for the last semester of study;

(d) take a maximum of 84 credits of junior-level courses and the rest being senior-level courses as prescribed in the syllabuses over the entire period of studies; and

(e) take not less than 84 credits of senior-level courses from the Department of Statistics and Actuarial Science.

(1) This regulation should be read in conjunction with UG1 of the Regulations for First Degree Curricula. (2) The specific requirements applicable to candidates of this degree curriculum are spelt out in the syllabuses.

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Selection of courses AS5 Candidates who wish to withdraw from a course at the beginning of each semester may do so up to 2 weeks after the commencement of the semester. Withdrawal beyond the 2-week deadline will not be permitted, except for medical or other reasons acceptable by the Faculty Board, and candidates’ withdrawal from any course without permission will be given a failed grade. Assessment and grades AS6 Candidates should be assessed for each of the courses which they have registered. The assessment may take one or a combination of forms as prescribed in the syllabuses and shall normally include the candidates’ coursework during the semester. Only those satisfactorily completed courses will earn credits. AS7 Candidates’ performance in a course shall be assessed with the grading system as prescribed in UG5 of the Regulations for First Degree Curricula. Failure in examination AS8 Candidates who fail in any course may, as directed by the Board of Examiners, be permitted to present themselves for re-assessment with or without repeating the failed course. The timing and the form(s) of re-assessment shall be decided by the Board of Examiners. Candidates shall not be allowed to repeat a course for which they have achieved a passed grade for upgrading purposes, nor shall they be permitted to repeat a course more than once. The failed grade will be recorded in the official transcripts. The new grade obtained after re-assessment of the same failed course will also be recorded and will replace the previous F grade in the calculation of the weighted grade point averages. As failed courses shall not be credited towards a degree, failed compulsory courses must be re-assessed. Absence from examination AS9 Candidates who are unable because of their illness to be present for any written examinations may apply for permission to present themselves for a supplementary examination to be held before the beginning of the first semester of the following academic year. Any such application shall be made on the form prescribed within two weeks of the first day of absence from any examination. Candidates who fail to satisfy the examiners in one or more papers in such a supplementary examination shall be considered under the provisions made in these Regulations for failure at the first attempt at the examination, except that a further supplementary examination shall not be permitted. Performance assessment AS10 At the end of each semester, candidates’ performance shall be assessed for the purposes of determining

(a) their eligibility for progression to an award of the degree; (b) their eligibility for the award; or (c) whether they be required to be discontinued from the programme.

Progression of studies AS11 Candidates shall be permitted to progress if they have:

(a) not exceeded the maximum period of registration; and (b) accumulated not less than 30 credits and attained a GPA of 1.00 or above over the first and second

semesters; or (c) accumulated not less than 30 credits and attained a GPA of 1.50 or above over the third and fourth

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semesters; or (d) accumulated not less than 30 credits and attained a GPA of 1.50 or above over the fifth and sixth

semesters; or (e) attained a semester GPA of 1.50 or above at the end of each subsequent semester.

Those who have not been able to fulfill the requirements above shall be recommended for discontinuation from the programme under General Regulation G12. Award of the degree AS12 To be eligible for the award of the degree of BSc(ActuarSc), candidates shall have:

(a) achieved a weighted GPA of 1.00 or above; (b) successfully accumulated a minimum of 180 credits; and (c) satisfied the requirements in UG3 of the Regulations for First Degree Curricula.

Degree classification AS13 A list of candidates who have successfully completed all the degree requirements shall be published in five divisions: First Class Honours, Second Class Honours Division One, Second Class Honours Division Two, Third Class Honours, Pass. The classification of honours shall be determined by the Board of the Faculty at its full discretion by taking the overall performance of candidates and other relevant factors into consideration. GENERAL FEATURES 1. Curriculum requirements Regulations AS1 to AS4 specify the requirements with which candidates have to comply for completion of the BSc(ActuarSc) degree programme. For the fulfillment of Regulation UG3 “Requirements for Graduation”, candidates shall complete successfully the language studies courses and the broadening courses as listed below. Furthermore they should obtain a pass in an Information Technology proficiency test, or successfully complete a 3-credit course in Information Technology. 2. Course registration Course registration will take place before the commencement of each semester. All junior-level courses should be taken in the first or second semester except those specified in the syllabuses. In course registration, candidates should pay special attention to the pre-requisite and co-requisite requirements of courses as specified in the syllabuses. A prerequisite is a course which candidates must have completed in accordance with the conditions stipulated by the Head of Department before being permitted to take a course in question. A co-requisite is a course which candidates must take at the same time as the course in question. 3. Coursework and examination ratio Each 6-credit course leads to one written examination paper which will be two hours in length, unless otherwise specified. The final grading will be determined by performance in the examination and assessment of coursework in the ratio of 75:25, unless otherwise stated. For courses offered by the Schools of Business and Economics and Finance, the assessment ratio will be announced by teachers at the beginning of each semester.

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SECTION V Teaching Weeks

Teaching Weeks 2006-2007 for Undergraduate and Taught Postgraduate Students

Semester Week Sun Mon Tue Wed Thur Fri SatSep 2006 1 1 2

2 3 4 5 6 7 8 9 3 10 11 12 13 14 15 16 4 17 18 19 20 21 22 23 5 24 25 26 27 28 29 30

Oct 2006 6 1 ○2 3 4 5 6 ○7

7 8 9 10 11 12 13 14 8 15 16 17 18 19 20 21 9 22 23 24 25 26 27 28

Nov 2006 10 29 ○30 31 1 2 3 4 11 5 6 7 8 9 10 11 12 12 13 14 15 16 17 18 13 19 20 21 22 23 24 25

Dec 2006 14 26 27 28 29 30 1 2

Firs

t Sem

este

r

15 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 ○25 ○26 27 28 29 30

Jan 2007 31 ○1 2 3 4 5 6 7 8 9 10 11 12 13

14 15 16 17 18 19 20 21 22 23 24 25 26 27

Feb 2007 16 28 29 30 31 1 2 3 17 4 5 6 7 8 9 10 18 11 12 13 14 15 16 ○17

19 18 ○19 ○20 21 22 23 24Mar 2007 20 25 26 27 28 1 2 3

21 4 5 6 7 8 9 10 22 11 12 13 14 15 □16 17 23 18 19 20 21 22 23 24 24 25 26 27 28 29 30 31

Apr 2007 25 1 2 3 4 ○5 ○6 ○7

26 8 ○9 10 11 12 13 14 27 15 16 17 18 19 20 21 28 22 23 24 25 26 27 28

May 2007 29 29 30 ○1 2 3 4 5

Seco

nd S

emes

ter

30 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 ○24 25 26

Jun 2007 27 28 29 30 31 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 ○19 20 21 22 23

24 25 26 27 28 29 30 Jul 2007 1 ○2 3 4 5 6 7

31 8 9 10 11 12 13 14 32 15 16 17 18 19 20 21 33 22 23 24 25 26 27 28

Aug 2007 34 29 30 31 1 2 3 4 35 5 6 7 8 9 10 11 36 12 13 14 15 16 17 18

Sum

mer

Se

mes

ter

37 19 20 21 22 23 24 25

Notes First Semester (1.9.2006 - 4.1.2007)

Second Semester (29.1.2007 - 9.6.2007)

Optional Summer Semester(9.7.2007 - 25.8.2007)

Orientation week 1 - 7.9.2006 --- --- First day of teaching 8.9.2006 29.1.2007 --- Last day of teaching 7.12.2006 12.5.2007 --- Classes suspended during the Chinese New Year --- 17.2.2007 - 23.2.2007 --- Reading/field trip week 23 - 28.10.2006 12 - 17.3.2007 --- Revision period 8 – 14.12.2006 14 – 19.5.2007 --- End-of-semester assessment 15.12.2006 - 4.1.2007 21.5.2007 - 9.6.2007 ---

First Semester: 10 Mondays*, 11 Saturdays*, 12 Tuesdays, Wednesdays, Thursdays and Fridays. Second Semester: 12 Mondays, Tuesdays, Thursdays, Fridays and Saturdays, 13 Wednesdays.

* Additional classes to be arranged by departments to make-up for 12 full teaching weeks, if necessary.

Public Holidays University Holidays: 16.3.2007

Location of Offices Faculty of Science G12 Chong Yuet Ming Physics Bldg

Tel: 2859 2683 Fax: 2858 4620

E-mail: [email protected] Website: http://www.hku.hk/science

Biochemistry 3/F, Laboratory Block, Medicine Bldg

Tel: 2819 9241 Fax: 2855 1254

E-mail: [email protected] Website: http://www.hku.hk/biochem

Botany Rm 6S-16 Kadoorie Biological Sciences Bldg

Tel: 2299 0300 Fax: 2858 3477

E-mail: [email protected] Website: http://www.hku.hk/botany

Chemistry Rm G01 Chong Yuet Ming Chemistry Bldg

Tel: 2859 7919 Fax: 2857 1586

E-mail: [email protected] Website: http://chem.hku.hk

Earth Sciences Rm 309 James Hsioung Lee Science Bldg

Tel: 2857 8558 Fax: 2517 6912

E-mail: [email protected] Website: http://www.hku.hk/earthsci/rock.html

Ecology & Rm 3N-10 Kadoorie Biological Sciences Bldg

Biodiversity Tel: 2299 0618 Fax: 2517 6082

E-mail: [email protected] Website: http://www.hku.hk/ecology/index.html

Mathematics Rm 408 Run Run Shaw Bldg

Tel: 2859 2255 Fax: 2559 2225

E-mail: [email protected] Website: http://www.hku.hk/math

Physics Rm 518 Chong Yuet Ming Physics Bldg

Tel: 2859 2359 Fax: 2559 9152

E-mail: [email protected] Website: http://www.hku.hk/physics/public_html

Statistics and Rm 502 Meng Wah Complex

Actuarial Science Tel: 2859 2466 Fax: 2858 9041

E-mail: [email protected] Website: http://www.hku.hk/statistics

Zoology Rm 6N-04 Kadoorie Biological Sciences Bldg

Tel: 2299 0801 Fax: 2559 9114

E-mail: [email protected] Website: http://www.hku.hk/zoology

Academic Services Rm UG05 Knowles Bldg Enquiry Office Tel: 2859 2433 Fax: 2540 1405

E-mail: [email protected] Website: http://www.hku.hk