ENEE641

Mathematical Foundations for Computer Engineering

Credit only granted for: ENEE641 or ENEE759F. Formerly: ENEE759F. Mathematical modeling, design, analysis and proof techniques related to computer engineering. Probability, logic, combinatorics, set theory, and graph theory, as they pertain to the design and performance of computer engineering systems. Techniques for the design and analysis of efficient computational methods from graph theory and networks. Understanding of the limits on the efficiency of such computational methods. Translation from mathematical theory to actual programming. The course emphasizes mathematical rigor.

Fall 2025

2 reviews
Average rating: 2.00

Past Semesters

2 reviews
Average rating: 2.00

2 reviews
Average rating: 2.00

2 reviews
Average rating: 2.00

2 reviews
Average rating: 2.00

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.07 between 349 students*

ENEE641 Grade Distribution+-051015202530354045% of studentsABCDFWother
A-: 15.19%
A: 20.63%
A+: 4.01%
B-: 12.32%
B: 20.92%
B+: 7.74%
C-: 3.44%
C: 5.44%
C+: 1.43%
D: 1.43%
F: 1.15%
W: 3.15%
other: 3.15%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.