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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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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
CE 3345 Ranran Feng | |||||
B+ | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
CE 3345 Ranran Feng | |||||
B+ | |||||
Grades: 3,444
Median GPA: A-
Mean GPA: 3.269
2.1
Professor rating
3.3
Difficulty
51
Ratings given
31%
Would take again
Data Structures and Foundations of Algorithmic Analysis
Erik Jonsson School of Engineering and Computer Science
Analysis of algorithms including time complexity and Big-O notation. Analysis of stacks, queues, and trees, including B-trees. Heaps, hashing, and advanced sorting techniques. Disjoint sets and graphs. Course emphasizes design and implementation. 3 credit hours.
Prerequisites: ((CE 2305 or CS 2305) with a grade of C or better or (Data Science major and MATH 3315)) and (CE 2336 or CS 2336 or CS 2337) with a grade of C or better.
Offering Frequency: Each semester
Grades: 286
Median GPA: B+
Mean GPA: 3.087
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Grades: 3,444
Median GPA: A-
Mean GPA: 3.269
2.1
Professor rating
3.3
Difficulty
51
Ratings given
31%
Would take again
Data Structures and Foundations of Algorithmic Analysis
Erik Jonsson School of Engineering and Computer Science
Analysis of algorithms including time complexity and Big-O notation. Analysis of stacks, queues, and trees, including B-trees. Heaps, hashing, and advanced sorting techniques. Disjoint sets and graphs. Course emphasizes design and implementation. 3 credit hours.
Prerequisites: ((CE 2305 or CS 2305) with a grade of C or better or (Data Science major and MATH 3315)) and (CE 2336 or CS 2336 or CS 2337) with a grade of C or better.
Offering Frequency: Each semester
Grades: 286
Median GPA: B+
Mean GPA: 3.087
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