主題式數學建模與科學計算(一)

As there are more and more real world applications of artificial intelligence many AI related courses are provided in university. Due to the time constraint, the mathematical might not be covered in the courses. In this course, we will address on the essential topics that you need to know for artificial intelligence.

Calculus Mathematical analysis Linear Algebra Probability

Lecture

Homework 40% Midterm Exam 30% Final Exam 30%

• Linear inequalities and theorems of the alternative
• The approximate solutions to inconsistent system of linear equations
• The approximate solutions to inconsistent system of linear equations
• Introduction to compressed sensing
• The essential math topics in AI

Olvi L. Mangasarian (1994), Nonlinear Programming (Classics In Applied Mathematics), ISBN: 0-89871-341-2 Gilbert Strang (2019), Linear Algebra and Learning from Data, ISBN : 978-06921963-8-0 Kurt Bryan, Tanya Leise (2013), Making Do with Less: An Introduction to Compressed Sensing, SIAM REVIEW, Vol 55, No. 3, p. 547-566

地點

S 205

時間

Make an appointment via email

聯絡方式

yuhjye@math.nctu.edu.tw