# COURSE OUTLINE: MH9201

Course Title

Course Code

### MH9201

Offered Study Year X, Semester 2
Course Coordinator Xia Kelin (Asst Prof) XIAKELIN@ntu.edu.sg 6513 7464
Pre-requisites MH1201 OR Approval by Division of Mathematical Sciences
Co-requisites MH1201
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, in particular, determinants, eigenvalues and eigenvectors, and the deep relations between matrixes, vector spaces, determinants and eigenvalue and eigenvectors. The course will focus on the advanced and 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 complex problems in determinants
2. Solve complex problems in eigenvalues and eigenvectors
3. Solve complex problems in linear algebra that require a better understanding of deep relations between matrices, vector spaces, determinants and eigenvalue and eigenvectors
4. Apply advanced linear algebra knowledge in sciences
5. Solve abstract versions of problems in determinants, eigenvalues, eigenvectors, matrices and advanced linear algebra

### Course Content

Different kinds of challenging problems for determinant and how to approach them.

Various challenging problems for eigenvalues and eigenvectors and their solutions

Challenging problems that requires a better understanding of the deep relations between matrixes, vector spaces, determinants and eigenvalue and eigenvectors.

Applications 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 4, 5 1. a
2. a
3. a, b
4. a
20 individual See Appendix for rubric
Mid-semester Quiz
Midterm Examination 1, 2, 3, 5 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 determinant

1

Solve problems

2

Challenging problems for determinant

1

Solve problems

3

Challenging problems for determinant

1

Solve problems

4

Challenging problems for eigenvalues and eigenvectors

2

Solve problems

5

Challenging problems for eigenvalues and eigenvectors

2

Solve problems

6

Challenging problems for eigenvalues and eigenvectors

2

Solve problems

7

Challenging and advanced problems for linear algebra

3

Solve problems

8

Challenging and advanced problems for linear algebra

3

Solve problems

9

Challenging and advanced problems for linear algebra

3

Solve problems

10

Challenging and advanced problems for linear algebra

3

Solve problems

11

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

4

Presentation (Group projects)

12

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

4

Presentation (Group projects)

13

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

4

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)