course title: program: humanities

Course Title: Introduction to Statistics

Course Code: PSTA-001

Program: Humanities

Department: Basic science

College: Preparatory Year

Institution: University of Hail

2

Table of Contents A. Course Identification .................................................................................................... 3

6. Mode of Instruction (mark all that apply) ............................................................................... 3

B. Course Objectives and Learning Outcomes ............................................................... 3

1. Course Description ................................................................................................................. 3

2. Course Main Objective ............................................................................................................ 3

3. Course Learning Outcomes ..................................................................................................... 3

C. Course Content ............................................................................................................. 4

D. Teaching and Assessment ............................................................................................ 4

1. Alignment of Course Learning Outcomes with Teaching Strategies and Assessment

Methods ....................................................................................................................................... 4

2. Assessment Tasks for Students ............................................................................................... 5

E. Student Academic Counseling and Support .............................................................. 5

F. Learning Resources and Facilities ............................................................................... 5

1.Learning Resources .................................................................................................................. 5

2. Facilities Required ................................................................................................................... 6

G. Course Quality Evaluation .......................................................................................... 6

H. Specification Approval Data ....................................................................................... 6

3

A. Course Identification

1. Credit hours: 3

2. Course type

a. University x College Department Others

b. Required x Elective

3. Level/year at which this course is offered: Level 1 / Year 1 (Preparatory Year)

4. Pre-requisites for this course (if any): None

5. Co-requisites for this course (if any): None

6. Mode of Instruction (mark all that apply)

No Mode of Instruction Contact Hours Percentage

1 Traditional classroom 42 90%

2 Blended

3 E-learning

4 Distance learning

5 Other 10 10%

7. Contact Hours (based on academic semester)

No Activity Contact Hours

1 Lecture 42

2 Laboratory/Studio

3 Tutorial

4 Others (specify)

Total 42

B. Course Objectives and Learning Outcomes

1. Course Description PSTA001 is an introduction to statistical principles. The course designed to provide students

with basic and fundamental knowledge of statistical concepts. The course discusses different

methods of collecting, displaying and analyzing data. Moreover, some probability concepts,

bases of data normal distribution are discussed, Some Application in Descriptive Statistics and

Estimation and Hypotheses Testing.

2. Course Main Objective This course is designed for students to memorize fundamental statistical concepts and some of

their basic applications.

3. Course Learning Outcomes

CLOs Aligned

PLOs

1 Knowledge and Understanding: Upon completion of the course, the student should be able to:

1.1 Recognize data treatments' methods. 1.1

1.2 List central tendency and dispersion measures. 1.2

1.3 Define a correlation and recognize its types. 1.3

2 Skills: Upon completion of the course, the student should be able to:

2.1 Calculate the estimation and hypotheses testing 2.1

4

CLOs Aligned

PLOs

2.2 Standardize the variable (Z) to find the statistical probability under a

normal curve.

2.2

2.3 Apply the probability concepts. 2.2

2.4 Discover some Application in Descriptive Statistics 2.4

3 Values: Upon completion of the course, the student should be able to:

3.1 Contribute with working groups to collect data from websites -

Participate effectively, contribute actively, and cooperate positively with

colleagues

all

C. Course Content

No List of Topics Contact

Hours

1 Basic Concepts 5

2 Collect and display data 3

3 Measures of Center Tendency (Mean, median and Mode,)

Measures of Dispersion (Standard division, Variance,) 9

4 Correlations and Linear Regressions 6

5 Some Application in Descriptive Statistics 5

6 Probability (Basic Ideas, the Addition Rule and Rule of Complements,

Counting and Conditional probability 7

7 The Normal Distribution and the Standard Normal Curve 4

8 Estimation and Hypotheses Testing 3

Total 42

D. Teaching and Assessment 1. Alignment of Course Learning Outcomes with Teaching Strategies and Assessment

Methods

Code Course Learning Outcomes Teaching Strategies Assessment Methods

1.0 Knowledge and Understanding Upon completion of the course, the student should be able to:

1.1 Recognize data treatments' methods.

Lecture - Discussion -

Cooperative learning –

Presentation - e-

learning

Mid-level exam and

final exam – Quizzes -

Homework

1.2 List central tendency and dispersion

measures.



Presentation - e-

learning

Mid-level exam and


Homework

1.3 Define a correlation and recognize its

types.



Presentation - e-

learning

Mid-level exam and


Homework

2.0 Skills Upon completion of the course, the student should be able to:

2.1 Calculate the estimation and

hypotheses testing



Mid-level exam and


Homework

5

Code Course Learning Outcomes Teaching Strategies Assessment Methods

Presentation - e-

learning

2.2

Standardize the variable (Z) to find

the statistical probability under a

normal curve.



Presentation - e-

learning

Mid-level exam and


Homework

2.3 Apply the probability concepts.



Presentation - e-

learning

Mid-level exam and


Homework

2.4 Discover some Application in

Descriptive Statistics



Presentation - e-

learning

Mid-level exam and


Homework

3.0 Values Upon completion of the course, the student should be able to:

3.1

Contribute with working groups to

collect data from websites - Participate

effectively, contribute actively, and

cooperate positively with colleagues

Classroom discussions Attend and participate

2. Assessment Tasks for Students

# Assessment task* Week Due Percentage of Total

Assessment Score

1 Attendance Throughout the

semester 5%

2 Mid-level Exam Week 8 25%

3 Quizzes Throughout the

semester 15%

4 Homework Throughout the

semester 5%

5 Final Exam At the end of the

semester 50%

*Assessment task (i.e., written test, oral test, oral presentation, group project, essay, etc.)

E. Student Academic Counseling and Support Arrangements for availability of faculty and teaching staff for individual student

consultations and academic advice :

5 office hours per week in the lecturer schedule.

The contact with students by e-mail, mobile and office telephone.

Put announcements on the Examination and Statistical Unit (ESU) website.

WhatsApp group

F. Learning Resources and Facilities 1. Learning Resources

Required Textbooks الطبعة العاشرة –مبادئ الإحصاء للتخصصات النظرية : الإدارية والإنسانية

1437/9034الناشر: خوارزم العلمية للنشر والتوزيع – رقم الايداع

6

Essential References

Materials None

Electronic Materials

Blackboard

www.uoh.blackboard.com

Other Learning

Materials None

2. Facilities Required

Item Resources

Accommodation (Classrooms, laboratories, demonstration

rooms/labs, etc.) The classroom has 25-30 seats.

Technology Resources (AV, data show, Smart Board, software,

etc.)

The teachers use the data show.

The student’s use the calculator.

Other Resources (Specify, e.g. if specific laboratory

equipment is required, list requirements or

attach a list)

None

G. Course Quality Evaluation Evaluation

Areas/Issues Evaluators Evaluation Methods

Effectiveness of Teaching

Students

Faculty Members

Development Committee

Direct

Effectiveness of Assessment Faculty Members

Development Committee Direct

Extent of achievement of course

learning outcomes

Coordinators

Quality Assurance Unit

Development Committee

Direct and Indirect

Quality of learning resources Faculty Members

Development Committee Direct and Indirect

Evaluation areas (e.g., Effectiveness of teaching and assessment, Extent of achievement of course learning

outcomes, Quality of learning resources, etc.)

Evaluators (Students, Faculty, Program Leaders, Peer Reviewer, Others (specify)

Assessment Methods (Direct, Indirect)

H. Specification Approval Data

Council / Committee مجلس قسم العلوم الاساسية

Reference No. 3 – 1440/1441

Date 9/6/1440

http://www.uoh.blackboard.com/

كاديميالمركزالوطني للتقويم والاعتماد الأ

National Center for Academic Accreditation and Evaluation

ATTACHMENT 5.

T6. COURSE SPECIFICATIONS

(CS)

PSTA 001

Course Specifications, Ramadan 1438H, June 2017. Page 2

Course Specifications

Institution: Hail University Date: 1/2/2018

College/Department : Preparatory Year/ Department of Basic Science (Statistics)

A. Course Identification and General Information

1. Course title and code: Introduction to Statistics (PSTA-001)

2. Credit hours: 3

3. Program(s) in which the course is offered.

(If general elective available in many programs indicate this rather than list programs)

Preparatory Year, Basic science department, Humanities Track (Statistics)

4. Name of faculty member responsible for the course: Mr. Mohammed Salih

Dr. Azhari, Dr. Tabieh, Mr. Amjd , Mr. Siddeg , Mr. Asaad

5. Level/year at which this course is offered:

First and Second semester of the academic year (2016/2017) , New Enrolled Students

6. Pre-requisites for this course (if any):

None

7. Co-requisites for this course (if any):

None

8. Location if not on main campus:

Dean ship of Preparatory Year Baqaa Road +Female (Aja)

9. Mode of Instruction (mark all that apply):

a. traditional classroom What percentage?

b. blended (traditional and online) What percentage?

c. e-learning What percentage?

d. correspondence What percentage?

f. other What percentage?

Comments: Some course tutorials were explained during the office hours.

×

×

×

90%

0%

0%

0%

10%


B Objectives

1. Memorize fundamental statistical concepts and some of their basic applications.

2. Understand the bases which are necessary for collecting, displaying and analyzing data of

statistical problems.

3. Recognize the basic statistical measures (center and spread measures)

4. Understand the basic concepts of linear correlations and its applications in daily life.

5. Understand the basic concepts and theorems of probability and its applications in daily life.

6. Understand the normal data distribution and its applications in daily life.

7. Understand the higher levels of statistics which will be taught in the other university

programs.

The Course is Also Useful for :

Developing Student's thinking skills.

Preparing Student's Research Strategy.

Operating Field Studies.

2. Briefly describe any plans for developing and improving the course that are being implemented.

(e.g. increased use of IT or web based reference material, changes in content as a result of new

research in the field)

Method of Development Time

Teachers’ development seminars First week , third week from each semester

Class room visits Every Thursday according to prepared time

table.

Self development Distribute power point lesson to help S.D.

C. Course Description (Note: General description in the form used in Bulletin or handbook)

Course Description:

PSTA001 is an introduction to statistical principles. The course designed to provide basic and

fundamental knowledge of statistical concepts. The course discusses different methods of collecting,

displaying and analyzing data. Moreover, some probability concepts and bases of data normal

distribution are discussed.

1. Topics to be Covered

List of Topics No. of

Weeks Contact hours

Collect and display data 3 9

Measures of Center (Mean, median and Mode,) 2 6

Measures of Spread (Standard division, Variance,) 2 6

Correlations and Linear Regressions 2 6


Probability (Basic Ideas, the Addition Rule and Rule of Complements,

Counting and Conditional probability

4 12

The Normal Distribution and the Standard Normal Curve 2 6

Total 15

weeks

45

hours

2. Course components (total contact hours and credits per semester):

Lecture Tutorial

Laboratory/

Studio Practical Other: Total

Contact

Hours

Planed 3 x 15 None None None None 45

Actual 3 x 15 None None None None

Credit Planed 3 None None None None

3 Actual 3 None None None None

3. Additional private study/learning hours expected for students per week.

4. Course Learning Outcomes in NQF Domains of Learning and Alignment with Assessment

Methods and Teaching Strategy

Code

#

NQF Learning Domains

And Course Learning Outcomes

Course Teaching

Strategies

Course Assessment

Methods

1.0 Knowledge: Upon the completion of the course the student should be able to:

1.1 Recognize data treatment.

Interactive Teaching

Strategy.

Working in groups.

Discussion (see 8 )

Periodically quizzes

(weekly).

Home work.

Midterms and Final

exams.

1.2 List central tendency and dispersion

measures.

Lectures.

Open discussion

Examination (Med

level and Final),

Quizzes,

Written

Assignments

1.3 Define a sample and statistic. Lectures.

Open discussion

Examination (Med

level and Final),

Quizzes,

Written

Assignments

2.0 Cognitive Skills: By the end of this course the student should be able to:

2.1 Discover the Correlation between two

variables

Lectures.

Research

Examination (Med

level and Final),

Quizzes,

3 Hours


Written

Assignments

2.2

Standardize the variable (Z) to find the

statistical probability under a normal

curve .

Lectures.

Research

Examination (Med

level and Final),

Quizzes,

Written

Assignments

2.3 Find the linear regression equation and

give simple predictions.

Lectures.

Research

Examination (Med

level and Final),

Quizzes,

Written

Assignments

2.4 Apply the probability concepts. Apply the probability

concepts.

Interactive Teaching

Strategy.

Working in groups.

Discussion(see 8 ) 3.0 Interpersonal Skills & Responsibility

3.1

Participate effectively , contribute

actively , cooperate positively with

colleagues.

Discussion Groups , think

pair share groups,

Class work + Home

work

4.0 Communication, Information Technology, Numerical

4.1 Contribute with working groups to

collect data from websites.( see 13 )

Working Groups Homework + Project

5.0 Psychomotor

5.1 Not applicable Not applicable Not applicable

5. Schedule of Assessment Tasks for Students During the Semester

Assessment task (i.e., essay, test, quizzes, group project,

examination, speech, oral presentation, etc.) Week Due

Proportion of Total

Assessment

1 Midterm 8th week 25 %

2 Quizzes Weekly 15 %

3 Homework Weekly 5 %

4 Attendance During the

semester 5 %

5 Final exam End of

semester 50 %

D. Student Academic Counseling and Support

1. Arrangements for availability of faculty and teaching staff for individual student

consultations and academic advice. (include amount of time teaching staff are expected to be

available each week)

1- 5 office hours per week in the lecturer schedule (see 12).


The contact with students by e-mail , mobile and office telephone.

Put announcements on the Examination and Statistical Unit (ESU) website.

E Learning Resources

1. List Required Textbooks Azhari Ahmad Abdullah, "Principles of Statistics - Second Edition", Al Roshd Book Store, 1433.

ISBN- 6281140001843

2. List Essential References Materials (Journals, Reports, etc.)

None

3. List Electronic Materials, Web Sites, Facebook, Twitter, etc. None

4. Other learning material such as computer-based programs/CD, professional standards or

regulations and software.

None

F. Facilities Required

Indicate requirements for the course including size of classrooms and laboratories (i.e. number of

seats in classrooms and laboratories, extent of computer access,etc.)

1. Accommodation (Classrooms, laboratories, demonstration rooms/labs, etc.) Classroom with capacity of 30-students.

2. Technology resources (AV, data show, Smart Board, software, etc.) Power point

3. Other resources (specify, e.g. if specific laboratory equipment is required, list requirements or

attach list)

None

G Course Evaluation and Improvement Processes

1. Strategies for Obtaining Student Feedback on Effectiveness of Teaching

Analyzing of course evaluation questionnaire by the end of the semester (see 7).

Direct communications with the students during the semester (see 12).

2. Other Strategies for Evaluation of Teaching by the Instructor or by the Department Class room visits by course coordinator .see(13)

3. Processes for Improvement of Teaching

Course report. (see 2)

Students Evaluation (see 7).

4. Processes for Verifying Standards of Student Achievement (e.g. check marking by an

independent member teaching staff of a sample of student work, periodic exchange and

remarking of tests or a sample of assignments with staff at another institution)

Exams are marked electronically and a random sample of the students answer sheets is remarking

manually by all instructors.

Statistical analysis of the exams results (see 6).

5. Describe the planning arrangements for periodically reviewing course effectiveness and

planning for improvement.


1- The following points may help to get the course effectiveness:

* Student evaluation. (see 7)

* Course report. . (see 2)

2- According to point 1 the plan of improvement should be give

Name of Course Instructor: Mr. Mohammed Salih

Signature: ______________________ Date Specification Completed: 1/2/2018

Program Coordinator: Dr. Sofian Obeidat Signature: _________________________ Date Received: 25/9/2018



ATTACHMENT 6.

T5. COURSE REPORT

(CR)

PSTA001

A separate Course Report (CR) should be submitted for every course and for each section or

campus location where the course is taught, even if the course is taught by the same person. Each

CR is to be completed by the course instructor at the end of each course and given to the program

coordinator

A combined, comprehensive CR should be prepared by the course coordinator and the separate

location reports are to be attached.

Course Report, Ramadan 1438H, June 2017. Page 2

Course Report

For guidance on the completion of this template refer to the EEC-HES handbooks.

Institution Date of CR: 11/02/2021

College/ Department: Preparatory Year College / Basic Science Department. (Humanities)

A Course Identification and General Information

1. Course title: Intro to statistics Code#: PSTA001 Section #12 Sections

2. Name of course instructor :

Dr. Mohammed Salih (Course Coordinator)

Dr. Lahcane

Dr. Anas altalub

Dr. Asaad Mohammed

Location: Deanship of

Prep. Year - Baqqa

Road, Hail.

3. Year and semester to which this report applies: Semester One 2020- 2021

4. Number of students starting the course? Students completing the course?

5. Course components (actual total contact hours and credits per semester):

Lecture Tutorial Laboratory/

Studio

Practical Other: Total

Contact

Hours

Planed 3h×14

week

None None None None 42 Hours

Actual None None None None

Credit Planed

3 Hours None None None None

3 Hours Actual None None None None

B- Course Delivery

1. Coverage of Planned Program

Topics Covered

Planned

Contact

Hours

Actual

Contact

Hours

Reason for Variations if there is a

difference of more than 25% of

the hours planned Collect and display data 3 9 None

Measures of Central Tendency 3 9 None

Measures of Spread 2 6 None

Correlations and Linear Regressions 3 9 None

Probability (Basic Ideas, the Addition Rule

and Rule of Complements, Counting and

Conditional probability

3 9 None

Total 14

weeks

42

hours

365

304


2. Consequences of Non Coverage of Topics

For any topics where the topic was not taught or practically delivered, comment on how

significant you believe the lack of coverage is for the course learning outcomes or for later courses

in the program. Suggest possible compensating action.

Topics (if any) not Fully

Covered

Effected Learning

Outcomes

Possible Compensating Action

None None None

3. Course learning outcome assessment.

List course learning

outcomes

List methods of

assessment for each LO

Summary analysis of assessment

results for each LO

1.1 Recognize data treatment.

Lectures.

Working in groups.

Discussion

66.3% good

1.2 List central tendency and

dispersion measures.

Lectures.

Working in groups.

Discussion

59.9% weak

1.3 Define a correlation and

recognize its types.

Lectures.

Working in

groups.

Discussion

60.7% good

2.1

Calculate the estimation and

hypotheses testing

Lectures.

Working in groups.

Discussion 58.1% weak

2.2

Standardize the variable (Z)

to find the statistical

probability under a normal

curve.

Lectures.

Working in groups.

Discussion 73.2% very good

2.3 Apply the probability

concepts.

Lectures.

Working in groups

Discussion

57.9% weak

2.4 Discover some Application

in Descriptive Statistics

Lectures.

Working in groups.

Discussion

70.7% very good

3.1

Contribute with working

groups to collect data from

websites - Participate

effectively, contribute

actively, and cooperate

Advices through class

discussion 69.4% good


positively with colleagues

Summarize any actions you recommend for improving teaching strategies as a result of evaluations

in table 3 above.

4. Effectiveness of used Teaching Strategies for Learning Outcomes set out in the Course

Specification. (Refer to planned teaching strategies in Course Specification and description of

Domains of Learning Outcomes in the National Qualifications Framework)

List Teaching Strategies set out in Course

Specification

Were They

Effective?

Difficulties Experienced (if any) in

Using the Strategy and Suggested

Action to Deal with Those

Difficulties. No Yes

Lectures √ No difficulties

Cooperative learning √ No difficulties

Presentation √ No difficulties

e-learning √ No difficulties

C. Results

1. Distribution of Grades

Letter

Grade

Number of

Students

Student

Percentage

Analysis of Grade Distribution

A+ 3 0.98% [95 -- 100]

Low percentage because they are humanities track students

have very bad mathematical background

A

7 2.30%

[90 -- 94]



B+

13 4.27% [85 -- 89]



B

17 5.59% [80 -- 84]



C+ 22 7.24% [75 -- 79]



C

28 9.21% [70 -- 74]



D+

43

14.15%

[65 -- 69]



D 78 25.66% [45 -- 64]

Within range


F 93 41.7% [0 -- 44]

Within range

Denied

Entry 0 0.0%

Most of them are repeaters

In Progress 0 0.0%

Incomplete 0 0.0%

Pass 211 69.4% Within range

Fail 93 30.6% Most of them are repeaters

Withdrawn 0 0.0%

2. Analyze special factors (if any) affecting the results

The result within the normal distribution.

3. Variations from planned student assessment processes (if any) (see Course Specifications).

Variations (if any) from planned assessment schedule (see Course Specifications)

Variation Reason

None --

4.Student Grade Achievement Verification (eg. cross-check of grade validity by independent

evaluator).

Method(s) of Verification Conclusion Exams are marked electronically

and a random sample of the

students answer sheets is remarking


There are no difference between the marking machine output and the

manually remarked sample.

Exams are marked electronically






D Resources and Facilities

1. Difficulties in access to resources or

facilities (if any)

None

2. Consequences of any difficulties experienced for

student learning in the course, and proposed action

to overcome it.

None

E. Administrative Issues


1. Organizational or administrative

difficulties encountered (if any)

Students late registration



to overcome it.

- The students lost some lectures which affected

on their understanding of some topics.

- The number of their absences increased which

affected on their class work grades.

F Course Evaluation

1. Student evaluation of the course (Attach summary of survey results)

1 Student evaluation of the course

a. List the most important recommendations for improvement and strengths

- Effective teaching method must be use.

- Encourage students to focus more while viewing course descriptions + Diversification of

presentation styles.

- Emphasis during teaching on the importance of statistics in life and its importance for

future student studies

- Class room activities may develop skills.

- Working in team work must be apply

b. Response of instructor or course team to this evaluation

- All instructors must be available during office hours.

- Group discussion must implement.

- Delete some examples that require complicated computations + Delete some duplicates

- Add statistical analysis programs (SPSS-Minitab)

- Instructors must be use methods that attract the attention of the students.

2. Other Evaluation (eg.by head of department, peer observations, accreditation review, other

stakeholders): (peer observations)


-Put a time table for class observations.

-Put a time table for class room visits.


All instructors showed good response and showed their attention to perform these

recommendations

G Planning for Improvement

1. Progress on actions proposed for improving the course in previous course reports (if any).

Actions recommended

from the most recent

course report(s)

Actions Taken

Action Results

Action Analysis

Intensify the teamwork

to solve the exercises in

Colleagues have met

on weekly basis.

The exercises have been

reviewed and solved.

High success rate

compared to the last


the course appendixes

semester

Class observations and

visits (The plan under

process) Done

Improvement in the teacher

performance leads to high

passing rate. Very good

Learning support

centers for enhancing

the students' arithmetic

skills and for using

calculators

Done To high passing rate. Very good

2. List what other actions have been taken to improve the course (based on previous CR, surveys,

independent opinion, or course evaluation).

3. Action Plan for Next Semester/Year

Actions Recommended for

Further Improvement

Intended Action Points

(should be measurable) Person Responsible

a. Class observations and


process)

Time table for room observations

and visits coordinator

b. Tutorials for enhancing the

students' arithmetic skills

and for using calculators

During the class time Instructors


Signature_________________________ Date Report Completed: 11/02/2021




ATTACHMENT 6.

T5. COURSE REPORT

(CR)

PSTA001

A separate Course Report (CR) should be submitted for every course and for each section or

campus location where the course is taught, even if the course is taught by the same person. Each

CR is to be completed by the course instructor at the end of each course and given to the program

coordinator

A combined, comprehensive CR should be prepared by the course coordinator and the separate

location reports are to be attached.


Course Report

For guidance on the completion of this template refer to the EEC-HES handbooks.

Institution Date of CR: 12/05/2020

College/ Department: Preparatory Year College / Basic Science Department. (Humanities)

A Course Identification and General Information

1. Course title: Intro to statistics Code#: PSTA001 Section #12 Sections

2. Name of course instructor :

Dr. Mohammed Salih (Course Coordinator)

Dr. Lahcane

Dr. Asaad Mohammed

Dr. Moughed Musa

Mr. Osama Salum

Location: Deanship of

Prep. Year - Baqqa

Road, Hail.

3. Year and semester to which this report applies: Second Semester 2019- 2020

4. Number of students starting the course? Students completing the course?

5. Course components (actual total contact hours and credits per semester):

Lecture Tutorial Laboratory/

Studio

Practical Other: Total

Contact

Hours

Planed 3h×14

week

None None None None 42 Hours

Actual None None None None

Credit Planed

3 Hours None None None None

3 Hours Actual None None None None

B- Course Delivery

1. Coverage of Planned Program

Topics Covered

Planned

Contact

Hours

Actual

Contact

Hours

Reason for Variations if there is a

difference of more than 25% of

the hours planned Collect and display data 3 9 None

Measures of Central Tendency 3 9 None

Measures of Spread 2 6 None

Correlations and Linear Regressions 3 9 None

Probability (Basic Ideas, the Addition Rule

and Rule of Complements, Counting and

Conditional probability

3 9 None

Total 14

weeks

42

hours

271

262


2. Consequences of Non Coverage of Topics

For any topics where the topic was not taught or practically delivered, comment on how

significant you believe the lack of coverage is for the course learning outcomes or for later courses

in the program. Suggest possible compensating action.

Topics (if any) not Fully

Covered

Effected Learning

Outcomes

Possible Compensating Action

None None None

3. Course learning outcome assessment.

List course learning

outcomes

List methods of

assessment for each LO

Summary analysis of assessment

results for each LO

1.1

Recognize data treatments'

methods.

Lectures.

Working in groups.

Discussion

58.3% weak

1.2 List central tendency and

dispersion measures.

Lectures.

Working in groups.

Discussion

58.3% weak

1.3 Define a correlation and

recognize its types.

Lectures.

Working in

groups.

Discussion

58.3% weak

2.1

Calculate the estimation and

hypotheses testing

Lectures.

Working in groups.


2.2

Standardize the variable (Z)

to find the statistical

probability under a normal

curve.

Lectures.

Working in groups.


2.3 Apply the probability

concepts.

Lectures.

Working in groups

Discussion

58.3% weak

2.4 Discover some Application

in Descriptive Statistics

Lectures.

Working in groups.

Discussion

58.3% weak

3.1

Contribute with working

groups to collect data from

websites - Participate

effectively, contribute

actively, and cooperate

Advices through class

discussion Class work + Homework


positively with colleagues

4.1 Not applicable Not applicable Not applicable

Summarize any actions you recommend for improving teaching strategies as a result of evaluations

in table 3 above. I think that to perform a class works by specify one lecture by the end of each chapter.

4. Effectiveness of used Teaching Strategies for Learning Outcomes set out in the Course

Specification. (Refer to planned teaching strategies in Course Specification and description of

Domains of Learning Outcomes in the National Qualifications Framework)

List Teaching Strategies set out in Course

Specification

Were They

Effective?

Difficulties Experienced (if any) in

Using the Strategy and Suggested

Action to Deal with Those

Difficulties. No Yes

Lectures

√

No difficulties

Working in Groups

√

No difficulties

Discussion

√

No difficulties

C. Results


1. Distribution of Grades

Letter

Grade

Number of

Students

Student

Percentage

Analysis of Grade Distribution

A+ 2 0.73% [95 -- 100]



A

7 2.6%

[90 -- 94]



B+

14 5.2% [85 -- 89]



B

18 6.64% [80 -- 84]



C+ 28 10.33% [75 -- 79]



C

32 11.8% [70 -- 74]



D+

35

12.9%

[65 -- 69]



D 22 8.12% [45 -- 64]

Within range

F 113 41.7% [0 -- 44]

Within range

Denied

Entry 0 0.0%

Most of them are repeaters

In Progress 0 0.0%

Incomplete 0 0.0%

Pass 158 58.3% Within range

Fail 113 41.7% Most of them are repeaters

Withdrawn 0 0.0%

2. Analyze special factors (if any) affecting the results

The result within the normal distribution.

3. Variations from planned student assessment processes (if any) (see Course Specifications).

Variations (if any) from planned assessment schedule (see Course Specifications)

Variation Reason

None --


4.Student Grade Achievement Verification (eg. cross-check of grade validity by independent

evaluator).

Method(s) of Verification Conclusion Exams are marked electronically






Exams are marked electronically






D Resources and Facilities

1. Difficulties in access to resources or

facilities (if any)

None



to overcome it.

None

E. Administrative Issues

1. Organizational or administrative

difficulties encountered (if any)

Students late registration



to overcome it.

- The students lost some lectures which affected

on their understanding of some topics.

- The number of their absences increased which

affected on their class work grades.

F Course Evaluation

1. Student evaluation of the course (Attach summary of survey results)

1 Student evaluation of the course


- Effective teaching method must be use.

- Encourage students to focus more while viewing course descriptions + Diversification of

presentation styles.

- Emphasis during teaching on the importance of statistics in life and its importance for

future student studies

- Class room activities may develop skills.

- Working in team work must be apply



- All instructors must be available during office hours.

- Group discussion must implement.

- Delete some examples that require complicated computations + Delete some duplicates

- Add statistical analysis programs (SPSS-Minitab)

- Instructors must be use methods that attract the attention of the students.

2. Other Evaluation (eg. by head of department, peer observations, accreditation review, other

stakeholders): (peer observations)


-Put a time table for class observations.

-Put a time table for class room visits.


All instructors showed good response and showed their attention to perform these

recommendations

G Planning for Improvement

1. Progress on actions proposed for improving the course in previous course reports (if any).

Actions recommended

from the most recent

course report(s)

Actions Taken

Action Results

Action Analysis

Intensify the teamwork

to solve the exercises in

the course appendixes

Colleagues have met

on weekly basis.

The exercises have been

reviewed and solved.

High success rate

compared to the last

semester

Class observations and


process) Done

Improvement in the teacher

performance leads to high

passing rate. Very good

Learning support

centers for enhancing

the students' arithmetic

skills and for using

calculators

Done to high passing rate. Very good

2. List what other actions have been taken to improve the course (based on previous CR, surveys,

independent opinion, or course evaluation).

3. Action Plan for Next Semester/Year

Actions Recommended for

Further Improvement

Intended Action Points

(should be measurable) Person Responsible

a. Class observations and


process)

Time table for room observations

and visits coordinator


b. Tutorials for enhancing the

students' arithmetic skills

and for using calculators

During the class time Instructors


Signature_________________________ Date Report Completed: 12/05/2020


course title: program: humanities

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