Mathematics for Numerical Computing and Machine Learning
COS 302/SML 305/ECE 305
1252
1252
Info tab content
This course provides a comprehensive and practical background for students interested in continuous mathematics for computer science. The goal is to prepare students for higher-level subjects in artificial intelligence, machine learning, computer vision, natural language processing, graphics, and other topics that require numerical computation. This
course is intended students who wish to pursue these more advanced topics, but who have not taken (or do not feel comfortable) with university-level multivariable calculus (e.g., MAT 201/203) and probability (e.g., ORF 245 or ORF 309). See "Other Information"
Instructors tab content
Sections tab content
Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 70
- Capacity: 87
- Class Number: 21917
- Schedule: MW 11:00 AM-12:20 PM - Computer Science Building 104
Section P01
- Type: Precept
- Section: P01
- Status: O
- Enrollment: 12
- Capacity: 33
- Class Number: 21919
- Schedule: Th 09:00 AM-09:50 AM - Friend Center 009
Section P02
- Type: Precept
- Section: P02
- Status: O
- Enrollment: 31
- Capacity: 33
- Class Number: 21918
- Schedule: Th 10:00 AM-10:50 AM - Friend Center 009
Section P03
- Type: Precept
- Section: P03
- Status: O
- Enrollment: 27
- Capacity: 33
- Class Number: 21920
- Schedule: Th 12:30 PM-01:20 PM - Friend Center 004