2022-2 Mathematics for AI (MATH442-01) The course syllabus

1.Course Information

Course No. MATH442 Section 01 Credit 3.00
Category Major elective Course Type Classroom Course prerequisites
Postechian Core Competence
Hours TUE, THU / 14:00 ~ 15:15 / MathBldg[104]Lecture Room Grading Scale G

2. Instructor Information

Choi Minseok Name Choi Minseok Department Dept of Mathematics
Email address mchoi@postech.ac.kr Homepage
Office Office Phone 054-279-2055
Office Hours Tue. 16:00-17:00 or by appointment

3. Course Objectives

We focus on how machine learning or data science build upon the mathematics.
To this end, we cover the basic but fundamental mathematics; linear algebra,
probability/statistics, and optimization. We apply these mathematics to some
basic but central machine learning problems. It is hoped that students will
have a firm understanding of the mathematics for artificial intelligence and get ready to
solve practical problems arising from machine learning.

4. Prerequisites & require

Calculus and Linear Algebra will be helpful.

5. Grading

Homework (50%) and Final (50%)

6. Course Materials

Title Author Publisher Publication
Mathematics for Machine Learning M. Deisenroth, A. Faisal, and C. Ong Cambridge University Press 2020 978-1108455145

7. Course References

G. Strang, Linear Algebra and Learning from Data (2019), Wellesley-Cambridge

8. Course Plan

It covers the following materials:
- Motivation
- Linear algebra
- Vector calculus
- Optimization
- probability
- Machine learning problems and applications

9. Course Operation

No late homeworks will be accepted without an approved excuse.

10. How to Teach & Remark

11. Supports for Students with a Disability

- Taking Course: interpreting services (for hearing impairment), Mobility and preferential seating assistances (for developmental disability), Note taking(for all kinds of disabilities) and etc.

- Taking Exam: Extended exam period (for all kinds of disabilities, if needed), Magnified exam papers (for sight disability), and etc.

- Please contact Center for Students with Disabilities (279-2434) for additional assistance