Spring 2024 - MATH 475 D100
Mathematical Topics in Data Science (3)
Class Number: 3798
Delivery Method: In Person
Course Times + Location:
Jan 8 – Apr 12, 2024: Mon, Wed, Fri, 9:30–10:20 a.m.
1 778 782-4819
Prerequisites:MATH 242, MATH 240 or MATH 232 and STAT 270, all with a minimum grade of C-.
An exploration of the mathematics of data science. Analysis of the foundations of algorithms currently used in the field. Potential topics to be covered include: machine learning, compressed sensing, clustering, randomized numerical linear algebra, complex networks and random graph models. Students may repeat this course for further credit under a different topic.
- Homework 36%
- Presentation 20%
- Participation 10%
- Final Project 34%
MATERIALS + SUPPLIES:
Lecture notes and selected readings will be provided in class.
Foundations of Machine Learning, 2nd ed.
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
MIT Press, 2018
Foundations of Data Science
Avrim Blum, John Hopcroft, Ravindran Kannan
Cambridge University Press, 2020
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html