# COURSE OUTLINE: MH9200

Course Title

Course Code

### MH9200

Offered Study Year X, Semester 1
Course Coordinator Xia Kelin (Asst Prof) XIAKELIN@ntu.edu.sg 6513 7464
Pre-requisites MH1200 OR Approval by the Division of Mathematical Sciences
Co-requisites MH1200
AU 1
Contact hours Tutorials: 26
Approved for delivery from AY 2020/21 semester 2
Last revised 2 Dec 2020, 08:29

### Course Aims

The course will introduce the advanced materials in linear algebra, including Matrices and Gaussian elimination, vector spaces, determinants, and eigenvalues and eigenvectors. The course will focus on the challenging problems in these topics and the application of these topics in sciences.

### Intended Learning Outcomes

Upon successfully completing this course, you should be able to:

1. Solve complicated matrix and Gaussian elimination related problems
2. Solve complicated vector spaces problem
3. Interpret and calculate determinants, and solve some basic problems
4. Interpret and calculate eigenvalues and eigenvectors, and solve some basic problem
5. Apply knowledge of matrix, vector space, determinant, eigenvalue and eigenvector in sciences

### Course Content

Matrix and Gaussian elimination problems

Vector space problems

Basic problems for determinant

Basic problems for eigenvalues and eigenvectors

Application of matrix, vector space, determinant, and eigenvalue and eigenvector in sciences

### Assessment

Component Course ILOs tested SPMS-MAS Graduate Attributes tested Weighting Team / Individual Assessment Rubrics
Continuous Assessment
Tutorials
Quiz 1 1, 2, 3, 5 1. a, b, c
20 individual See Appendix for rubric
Quiz 2 1, 2, 3, 5 1. a, b, c
20 individual See Appendix for rubric
Project 5 1. a
2. a
3. a, b
4. a
20 individual See Appendix for rubric
Mid-semester Quiz
Midterm Examination 1, 2, 3, 4 1. a, b, c
40 individual See Appendix for rubric
Total 100%

These are the relevant SPMS-MAS Graduate Attributes.

### 1. Competence

a. Independently process and interpret mathematical theories and methodologies, and apply them to solve problems

b. Formulate mathematical statements precisely using rigorous mathematical language

c. Discover patterns by abstraction from examples

### 2. Creativity

a. Critically assess the applicability of mathematical tools in the workplace

### 3. Communication

a. Present mathematics ideas logically and coherently at the appropriate level for the intended audience

b. Work in teams on complicated projects that require applications of mathematics, and communicate the results verbally and in written form

### 4. Civic-mindedness

a. Develop and communicate mathematical ideas and concepts relevant in everyday life for the benefits of society

### Formative Feedback

Test and quizzes: Feedback on common mistakes and the level of difficulty of the problems is given. Students will receive individual feedback on their performance in the class, quiz and test during the classes.

Group Project: Feedbacks on performance in the group project will also be given to each group of students.

### Learning and Teaching Approach

 Tutorials (26 hours) This will help to develop problem solving skills, and reinforce the understanding of the concepts and notions.

Gilbert Strang, Linear Algebra and Its Applications, 2006, Cengage Learning, ISBN: 9780030105678

Roger A. Horn, Charles R. Johnson, Matrix Analysis Second Edition, 2012, Cambridge, ISBN: 9780521548236

### Course Policies and Student Responsibilities

Absence Due to Medical or Other Reasons

If you are sick and not able to attend a quiz or midterm, you have to submit the original Medical Certificate (or another relevant document) to the administration to obtain official leave. In this case, the missed assessment component will not be counted towards the final grade. There are no make-up quiz or make-up midterm.

Good academic work depends on honesty and ethical behaviour. The quality of your work as a student relies on adhering to the principles of academic integrity and to the NTU Honour Code, a set of values shared by the whole university community. Truth, Trust and Justice are at the core of NTU’s shared values.

Collaboration is encouraged for your homework because peer-to-peer learning helps you understand the subject better and working in a team trains you to better communicate with others. As part of academic integrity, crediting others for their contribution to your work promotes ethical practice.
You must write up your solutions by yourself and understand anything that you hand in.
If you do collaborate, you must write on your solution sheet the names of the students you worked with.  If you did not collaborate with anyone, please explicitly write, “No collaborators." Failure to do so constitutes plagiarism.

Use of materials outside the course is strongly discouraged. If you use outside source, you must reference it in your solution.

Good academic work depends on honesty and ethical behaviour. The quality of your work as a student relies on adhering to the principles of academic integrity and to the NTU Honour Code, a set of values shared by the whole university community. Truth, Trust and Justice are at the core of NTU’s shared values.

### Course Instructors

Instructor Office Location Phone Email
Xia Kelin (Asst Prof) SPMS-MAS-05-18 6513 7464 XIAKELIN@ntu.edu.sg

### Planned Weekly Schedule

Week Topic Course ILO Readings/ Activities
1

Challenging problems for matrixes and Gaussian problems

1

Solve problems

2

Challenging problems for matrixes and Gaussian problems

1

Solve problems

3

Challenging problems for vector spaces, including linear equations, linear independence, and orthogonality.

2

Solve problems

4

Challenging problems for vector spaces, including linear equations, linear independence, and orthogonality.

2

Solve problems

5

Basic problems for determinant.

3

Solve problems

6

Basic problems for determinant.

3

Solve problems

7

Basic problems for determinant.

3

Solve problems

8

Basic problems for eigenvalue and eigenvectors

4

Solve problems

9

Basic problems for eigenvalue and eigenvectors

4

Solve problems

10

Basic problems for eigenvalue and eigenvectors

4

Solve problems

11

The application of matrix, vector space, determinant, and eigenvalue and eigenvector in Sciences.

5

Presentation (Group projects)

12

The application of matrix, vector space, determinant, and eigenvalue and eigenvector in Sciences.

5

Presentation (Group projects)

13

The application of matrix, vector space, determinant, and eigenvalue and eigenvector in Sciences.

5

Presentation (Group projects)

### Appendix 1: Assessment Rubrics

#### Rubric for Tutorials: Quiz 1 (20%)

Point-based marking (not rubrics based)

#### Rubric for Tutorials: Quiz 2 (20%)

Point-based marking (not rubrics based)