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 problems that are centered around grand challenges facing society today, including information and security, bioengineering and health, structures and circuits, machine learning and the like. For questions about the course schedule, please see the Registrar's website.
Sample Reading List
"Linear Algebra with Applications" by Otto Bretscher
See instructor for complete list
Weekly problem sets. Weekly reading 20 pages.
- Mid Term Exam - 20%
- Final Exam - 30%
- Quizzes - 20%
- Problem set(s) - 30%
Statistical, design or other software use required
Student must have successfully completed EGR 151/152.
Prerequisites and Restrictions
EGR 151 and/or EGR 152, or permission of instructor. Also math level of EGR 152, MAT 104 or equivalent. This course can be used to satisfy BSE First Year Undergraduate year requirements. EGR 154, MAT 202, and MAT 204 are considered equivalent courses and cannot be taken multiple times for credit.
EGR 154, MAT 202, MAT 204 are considered equivalent courses and cannot be taken multiple times for credit.
No PDF, Audit for BSE students