MA2007B: LINEAR ALGEBRA I, Fall 2020

 

 

Instructor: Prof. Suh-Yuh Yang (楊肅煜)

Office Hours: Tuesday 10:00~12:00 am or by appointment

 

Teaching Assistant: 邱韋翔/研究室: M313, Tel: 65143, E-mail: a77001001@gmail.com

 

Prerequisites: high school mathematics.

 

Textbook: Gilbert Strang, Introduction to Linear Algebra, International Edition, Wellesley-Cambridge Press, 2019.

                  (台灣代理商:滄海書局,台中市西屯區台灣大道3段540號11F, Tel: 04-27088787) 

 

                 http://math.mit.edu/~gs/linearalgebra

                 http://ocw.mit.edu/ (Math 18.06)

                

     

 

Course Objective:

  • To introduce the beauty and variety of linear algebra, and its extreme usefulness.

  • To see how the applications of linear algebra reinforce the key ideas.

  • This course will move gradually and steadily from numbers to vectors to subspaces.

General Information: This course will cover the following topics

  • Introduction to vectors

  • Solving linear equations

  • Vector spaces and subspaces

  • Orthogonality (正交)

  • Determinants (行列式) 

Grading Policy: midterm1 25%, midterm2 25%, final exam 25%,

                         quizzes and others 25% (almost everyweek) (學期總成績)

 

Quizzes: quiz1, quiz2, quiz3, quiz4, quiz5, quiz6, quiz7, quiz8, quiz9, quiz10

 

Notes: note1, note2, note3, note4, note5, note6, note7, note8, note9, note10

 

Teaching or learning Linear Algebra: abstract approach or matrix approach. This course adopts matrix approach!

 

Artificial Intelligence <-- Machine Learning

                                   <-- Linear Algebra, Probability/Statistics, Optimization,

                                         Scientific Computing (Numerical Analysis).

 

Last updated: September 12, 2020