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5.0
Professor rating
5.0
Difficulty
1,000
Ratings given
99%
Would take again
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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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Grades: 521
Median GPA: B+
Mean GPA: 3.089
2.7
Professor rating
4.1
Difficulty
35
Ratings given
40%
Would take again
Advanced Algorithm Design and Analysis
Erik Jonsson School of Engineering and Computer Science
Asymptomatic analysis, recurrences, and graph algorithms. Algorithm design techniques such as greedy method, dynamic programming, and divide-and-conquer. Issues from computational complexity. Course emphasizes a theoretical approach. 3 credit hours.
Prerequisites: (CE 2305 or CS 2305) with a grade of C or better, and (CE 3345 or CS 3345 or SE 3345).
Offering Frequency: Each semester
Grades: 5,498
Median GPA: B+
Mean GPA: 3.150
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Grades: 521
Median GPA: B+
Mean GPA: 3.089
2.7
Professor rating
4.1
Difficulty
35
Ratings given
40%
Would take again
Advanced Algorithm Design and Analysis
Erik Jonsson School of Engineering and Computer Science
Asymptomatic analysis, recurrences, and graph algorithms. Algorithm design techniques such as greedy method, dynamic programming, and divide-and-conquer. Issues from computational complexity. Course emphasizes a theoretical approach. 3 credit hours.
Prerequisites: (CE 2305 or CS 2305) with a grade of C or better, and (CE 3345 or CS 3345 or SE 3345).
Offering Frequency: Each semester
Grades: 5,498
Median GPA: B+
Mean GPA: 3.150
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Search Results
| Name | Grades | Rating | |||
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CS 4349 Ovidiu Daescu | |||||
B | |||||
Search Results
| Name | Grades | Rating | |||
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CS 4349 Ovidiu Daescu | |||||
B | |||||