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Mathematics for Numerical Computing and Machine Learning

COS 302/SML 305/ECE 305

1232
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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"
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Section L01

  • Type: Lecture
  • Section: L01
  • Status: O
  • Enrollment: 38
  • Capacity: 125
  • Class Number: 20609
  • Schedule: MW 12:30 PM-01:20 PM

Section P01

  • Type: Precept
  • Section: P01
  • Status: O
  • Enrollment: 9
  • Capacity: 25
  • Class Number: 20610
  • Schedule: Th 09:00 AM-09:50 AM

Section P02

  • Type: Precept
  • Section: P02
  • Status: O
  • Enrollment: 12
  • Capacity: 25
  • Class Number: 20611
  • Schedule: Th 10:00 AM-10:50 AM

Section P03

  • Type: Precept
  • Section: P03
  • Status: O
  • Enrollment: 8
  • Capacity: 25
  • Class Number: 20612
  • Schedule: F 11:00 AM-11:50 AM

Section P04

  • Type: Precept
  • Section: P04
  • Status: O
  • Enrollment: 9
  • Capacity: 25
  • Class Number: 22273
  • Schedule: F 12:30 PM-01:20 PM