Skip over navigation

Course Offerings

Course Evaluation Results

Course Details

Spring 2017-2018
* EGR 154 (QR)   Graded A-F, P/D/F, Audit

Foundations of Engineering: Linear Systems

Andrew A. Houck


This course covers the basics of algebra with linear systems, vectors, matrices, matrix multiplication, systems of equations, matrix inversion, diagonalization, eigenvalues and eigenvectors, determinants, and some basic probability/Markov chains. These topics will be taught in the context of engineering problemsthat are centered around grand challenges facing society today, including information and security, bioengineering and health, structures and circuits, machine learning and the like.

Sample reading list:
Bretscher, Linear Algebra with Applications
See instructor for complete list

Reading/Writing assignments:
Weekly problem sets. Weekly reading 20 pages.

Mid Term Exam - 20%
Final Exam - 30%
Quizzes - 20%
Problem set(s) - 30%

Other Requirements:
Statistical, design or other software use required
Open to First Year Undergraduates and Sophomores Only.

Prerequisites and Restrictions:
EGR 152, MAT 104 or equivalent. This course can be used to satisfy BSE freshman year requirements. EGR 154, MAT 202, and MAT 204 are considered equivalent courses and cannot be taken multiple times for credit..

Equivalent Courses:
EGR 154, MAT 202, MAT 204 are considered equivalent courses and cannot be taken multiple times for credit.

Other information:
No PDF, Audit for BSE students


Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
43443 C01 11:00:00 am - 12:20:00 pm T Th   Friend Center   109   Enrolled:32 Limit:30 Closed