1. Course Overview: Linear Algebra
J. H. Wang
Feb. 17, 2016

2. Instructor & TA Instructor TA J. H. Wang (王正豪)
Associate Professor, CSIE, NTUT
Office: R1534, Technology Building
Tel: ext. 4238
Office Hour: 9:00-12:00 am, every Tuesday and Thursday TA
(TBA)
LA, Spring 2016
NTUT CSIE

3. Course Description Course Web Page:
Time: 4:10-6:00pm, Tue.; 9:10-10:00am, Fri.
Classroom: R226, Sixth Teaching Building
Textbook:
David Lay, Stephen Lay, and Judi McDonald, Linear Algebra and its Applications, 5th edition, Pearson, 2016.
Global Edition, imported by 偉明圖書
Prerequisites:
Basic knowledge of college mathematics (calculus)
LA, Spring 2016
NTUT CSIE

4. Target Audience For those who
Are EECS freshmen (or non-CSIE major students),
Familiar with basic college mathematics,
Preparing to learn more details in linear algebra, and
Want to master the basic concepts and skills in future careers
LA, Spring 2016
NTUT CSIE

5. Additional Resources References:
Linear Algebra with Applications, 8th ed., by Steven Leon, Pearson, 2014.
Introduction to Linear Algebra with Applications, by Jim DeFranza, Daniel Gagliardi, McGraw-Hill, 2009.
Elementary Linear Algebra, 7th ed., by Ron Larson, Cengage Learning, 2013.
LA, Spring 2016
NTUT CSIE

6. Teaching Lectures About 5-6 homework assignments 2 quizzes
Homeworks should be turned in within two weeks
2 quizzes
One before mid-term exam
One before final exam
Mid-term and final exams
LA, Spring 2016
NTUT CSIE

7. Grading Policy Homework assignments: ~30% Quiz: ~20%
Including programming exercises
Quiz: ~20%
Mid-term exam: ~25%
Final exam: ~25%
Note: All homework assignments and exercises must be submitted before the end of the semester (Jun. 24, 2016)
LA, Spring 2016
NTUT CSIE

8. Online Submission Submission instructions
Systems, programs, project proposals, and project reports in electronic files must be submitted to the TA online at:
Submissions website & instructions : (To be announced)
LA, Spring 2016
NTUT CSIE

9. What Will You Learn
The most interesting and worthwhile undergraduate mathematics course
Linear algebra concepts and computations
Linear equations, matrices, eigenvalues and eigenvectors, orthogonality and least-square problems
Gateway to more advanced courses and future career
Numerical linear algebra

10. Why You Need Linear Algebra
Power of linear algebra
Oil exploration, electrical networks, linear programming, aircraft design, space flight and control systems, GPS navigation, multichannel image processing, computer graphics, …
Wide applications in many fields
Engineering, computer science, mathematics, physics, biology, economics, statistics, …
Linear algebra is a language
You have to practice everyday
Read and reread the text carefully
Do the exercises
LA, Spring 2016
NTUT CSIE

11. Outline & Schedule Linear Equations Matrix Algebra Determinants
Vector Spaces
Eigenvalues and Eigenvectors
Orthogonality and Least Squares
Symmetric Matrices and Quadratic Forms
Geometry of Vector Spaces
Optimization (online)
Finite-State Markov Chains (online)

12. Outline & Schedule (Cont’)
(Tentative) Schedule
Ch.1-3: 6-7 wks
Ch.4-5: 6-7 wks
Ch.6: 2-3 wks

13. Some Tools for Linear Algebra
Commercial packages
Matlab, Mathematica, Maple, …
Free numerical computational packages
Scilab, Octave, Freemat, …
R: open source statistical package and language
Open source numerical and scientific packages in Python: scipy, numpy …
And many more!
LA, Spring 2016
NTUT CSIE

14. Thanks for Your Attention!
Any question or comment? Please feel free to send s to or discuss with me at my office
LA, Spring 2016
NTUT CSIE