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5.0
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5.0
Difficulty
1,000
Ratings given
99%
Would take again
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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
CS 4365 Yunhui Guo | |||||
A- | |||||
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| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
CS 4365 Yunhui Guo | |||||
A- | |||||
Grades: 356
Median GPA: A-
Mean GPA: 3.418
3.8
Professor rating
2.6
Difficulty
5
Ratings given
60%
Would take again
Artificial Intelligence
CS 4365
Erik Jonsson School of Engineering and Computer Science
Basic concepts and techniques that enable computers to perform intelligent tasks. Examples are taken from areas such as natural language understanding, computer vision, machine learning, search strategies and control, logic, and theorem proving. 3 credit hours.
Prerequisite: (CE 3345 or CS 3345 or SE 3345) or equivalent.
Offering Frequency: Each year
Grades: 2,843
Median GPA: B+
Mean GPA: 3.102
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Grades: 356
Median GPA: A-
Mean GPA: 3.418
3.8
Professor rating
2.6
Difficulty
5
Ratings given
60%
Would take again
Artificial Intelligence
CS 4365
Erik Jonsson School of Engineering and Computer Science
Basic concepts and techniques that enable computers to perform intelligent tasks. Examples are taken from areas such as natural language understanding, computer vision, machine learning, search strategies and control, logic, and theorem proving. 3 credit hours.
Prerequisite: (CE 3345 or CS 3345 or SE 3345) or equivalent.
Offering Frequency: Each year
Grades: 2,843
Median GPA: B+
Mean GPA: 3.102
Click a checkbox to add something to compare.