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Syllabus (2017, Fall semester)

Course Title Information and Mathematical Sciences Course No. 35287

Department/

MajorMathematics Credit/Hours 3/3

Class Time/

ClassroomTuesdat 12:30 PM, Friday 2:00 PM

Instructor

Name: Sunyoung Kim Department: Mathematics

E-mail: skim@ewha.ac.kr Telephone: 02-3277-2379, 2290

Office Hours/

Office LocationTue 11:00-12:15, Fri 12:30-1:30

. Course OverviewⅠ1. Course DescriptionThe main subject of this course is symboic and numerical computation for math major students using Maxima and Matlab. The usage of the mathematical softwares and the differences between symbolic and numerical computation will be discussed. For the first half of the course, we focus on symbolic computation with Maxima. Computing with functions, representing functions, limits, differentiation, integration, matrix operations, and solving differential equations will be covered. For the second half of the course, Matlab programming will be the main topic. In particular, numerical computation with arrays and matrices, drawing 2D and 3D figures, implementing various matlab programs will be described. 2. Prerequisites

Calculus, Linear Algebra

3. Course Format

Lecture Discussion/Presentation Experiment/Practicum Field Study Other

45 % 10 % 45 % %

(Instructor can change to match the actual format of the class.)Explanation of course format:

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. Course Materials and Additional ReadingsⅡ

1. Required Materials

[1] MaximaBook, The Maxima web page is located at http://maxima.sourceforge.net[2] Matlab tutorial, http://www.tutorialpoint.com

2. Supplementary Materials

3. Optional Additional Readings

. Course PoliciesⅢ

* For laboratory courses, all students are required to complete lab safety training.

. Course Schedule (Ⅳ 15 credit hours must be completed.)

4. Course Objectives

Students successfully completing the course should be able to program various mathematical algorithms in matlab, analyse the complexity of algorithms, and become confident with vector/matrix computations and basic concepts of linear algebra.

5. Evaluation System

Midterm Exam Final Exam Quizzes Presentation Projects Assignments Participation Other

40 % 45 % % % % 15 % % %

(Instructor can change to match the actual format of the class.)* Evaluation of group projects may include peer evaluations.

Explanation of evaluation system:

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Week Date Topics & Class Materials, Assignments

Week 1(9/1)

Symbolic Computation with Maxima

Introduction to Maxima

(9/5) Introduction to Maxima

Week 2(9/8) Introduction to Maxima

(9/12) Real numbers, functions, and units in Maxima

Week 3(9/15) Real numbers, functions, and units in Maxima

(9/19) Expressions, complex numbers,polynomials, and fractions in Maxima

Week 4(9/22) Expressions, complex numbers,polynomials, and fractions in Maxima(9/26) Basic plotting commands in Maxima

Week 5(9/29) Basic plotting commands in Maxima(10/3) Holiday

Week 6(10/6) Holiday

(10/10) Solution to algebraic and non-algebraic equations

Week 7(10/13) Solution to algebraic and non-algebraic equations

(10/17) Calculus applications in Maxima

Week 8(10/20) Calculus applications in Maxima(10/24) Basic matrix and linear algebra functions in Maxima

Week 9(10/27) Mid term (10/21, 11:00 AM)

(10/31) Basic matrix and linear algebra functions in Maxima

Week 10(11/3) Matlab introduction

(11/7) Arrays and matrices

Week 11(11/10) Arrays and matrices

(11/14) Scripts and functions

Week 12(11/17) Scripts and functions

(11/21) More on functions

Week 13(11/24) More on functions

(11/28) Graphics

Week 14(12/1) Speed, style, trickery

(12/5) Speed, style, trickery

Week 15(12/8) Advanced data structures

(12/12) Advanced data structures

Makeup

Class(12/15) Scientific computing

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. Special AccommodationsⅤ

* According to the University regulation section #57, students with disabilities can request for special accommodations related to attendance, lectures, assignments, or tests by contacting the course professor at the beginning of semester. Based on the nature of the students’ request, students can receive support for such accommodations from the course professor or from the Support Center for Students with Disabilities (SCSD). Please refer to the below examples of the types of support available in the lectures, assignments, and evaluations.

- Actual support may vary depending on the course.

Lecture Assignments Evaluation

․ Visual impairment : braille, enlarged reading materials․ Hearing impairment : note-taking assistant․ Physical impairment : access to classroom, note-taking assistant

Extra days for subm ission, alternative assignments

․ Visual impairment : braille examination paper, examination with voice support, longer examination hours, note-taking assistant․ Hearing impairment : written examination instead of oral․ Physical impairment : longer examination hours, note-taking assistant

* The contents of this syllabus are not final they may be updated.—