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ELEC 400M 201 (Web-Oriented Course)

Topics in Electrical Engineering - MCN LNG FDMT ENG

Lectures or projects on subjects of current interest.

This course is not eligible for Credit/D/Fail grading.

Credits: 3

Location: Vancouver

Term 2 (Jan 11, 2021 to Apr 14, 2021)

Withdrawal Dates
Last day to withdraw without a W standing : January 22, 2021
Last day to withdraw with a W standing
(course cannot be dropped after this date) :
March 12, 2021

TermDay Start TimeEnd TimeBuildingRoom
2 Tue Thu12:3014:00
Instructor: LAMPE, LUTZ
Note: this section is full

Seat Summary
Total Seats Remaining:0
Currently Registered:56
General Seats Remaining:0
Restricted Seats Remaining*:0

credit will be granted for only one of ELEC 400M/EECE 571M and (CPSC 330 or CPSC 340).

Long Title: Machine Learning Fundamentals for Engineers

This is a Special Topics course focusing on foundations and concepts of machine learning and its applications to engineering problems. Students are expected to have obtained a solid background in probability and random variables, as demonstrated by successfully completing one of the following courses: ELEC/STAT 321, MATH/STAT 302, MATH 318.

This course can be applied towards the advanced electives requirement of the BASc in Electrical Engineering program and the BASc in Computer Engineering program.

Further, credit will be granted for only one of: ELEC 400M, CPSC 330, CPSC 340.

Book Summary :
Information for the books required for this section is not available.