My PlannerExplore and compare past grades, professor ratings, and reviews to find the perfect class.
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Grades:
Median GPA:
Mean GPA:
5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
Visit Rate My Professors
Grades:
Median GPA:
Mean GPA:
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating |
|---|---|---|
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
A+ | ||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
EEPE 7356 Babak Fahimi | |||||
A | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
EEPE 7356 Babak Fahimi | |||||
A | |||||
Grades: 458
Median GPA: A-
Mean GPA: 3.066
3.1
Professor rating
4.2
Difficulty
39
Ratings given
59%
Would take again
Computer Aided Design of Electric Machines
EEPE 7356
Erik Jonsson School of Engineering and Computer Science
Principles of force generation and distribution of electromagnetic forces within induction, permanent magnet synchronous, and reluctance machines. Introduction to finite element analysis of electric machinery. Electromagnetic, structural, and thermal fields in electric machines. Multi-physics analysis of electric machines. Optimization methodologies in multi-objective problems. Applications of artificial intelligence methods for optimal design of electric machinery. 3 credit hours.
Prerequisite: EEPE 6356.
Offering Frequency: Every two years
Grades: 23
Median GPA: A
Mean GPA: 3.957
Click a checkbox to add something to compare.
Grades: 458
Median GPA: A-
Mean GPA: 3.066
3.1
Professor rating
4.2
Difficulty
39
Ratings given
59%
Would take again
Computer Aided Design of Electric Machines
EEPE 7356
Erik Jonsson School of Engineering and Computer Science
Principles of force generation and distribution of electromagnetic forces within induction, permanent magnet synchronous, and reluctance machines. Introduction to finite element analysis of electric machinery. Electromagnetic, structural, and thermal fields in electric machines. Multi-physics analysis of electric machines. Optimization methodologies in multi-objective problems. Applications of artificial intelligence methods for optimal design of electric machinery. 3 credit hours.
Prerequisite: EEPE 6356.
Offering Frequency: Every two years
Grades: 23
Median GPA: A
Mean GPA: 3.957
Click a checkbox to add something to compare.