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Syllabus (2017, Fall semester)
Course Title Information and Mathematical Sciences Course No.
35287
Department/
Major Mathematics Credit/Hours 3/3
Class Time/
Classroom Tuesdat 12:30 PM, Friday 2:00 PM
Instructor
Name: Sunyoung Kim Department: Mathematics
E-mail: [email protected] Telephone: 02-3277-2379, 2290
Office Hours/
Office Location Tue 11:00-12:15, Fri 12:30-1:30
. Course Overview
Ⅰ
1. Course Desc ription
The main subject of this course is symboic and numerical computation for math major students using Maxima and Matlab. The usage of the mathematical softwa res 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 Readings
Ⅱ
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 Policies
Ⅲ
* 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:
│ 3 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 Accommodations
Ⅴ
* 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.—
