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5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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Grades:
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Mean GPA:
5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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Search Results
| Name | Grades | Rating | |||
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EEPE 7356 Babak Fahimi | |||||
A | |||||
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| Name | Grades | Rating | |||
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EEPE 7356 Babak Fahimi | |||||
A | |||||
Grades: 371
Median GPA: A-
Mean GPA: 3.053
3.1
Professor rating
4.2
Difficulty
40
Ratings given
57%
Would take again
Computer Aided Design of Electric Machines
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: 11
Median GPA: A
Mean GPA: 3.940
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Grades: 371
Median GPA: A-
Mean GPA: 3.053
3.1
Professor rating
4.2
Difficulty
40
Ratings given
57%
Would take again
Computer Aided Design of Electric Machines
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: 11
Median GPA: A
Mean GPA: 3.940
Click a checkbox to add something to compare.