Raghu Meka
Review Summary
- Clarity
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9.2 / 10
- Organization
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9.3 / 10
- Time
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5-10 hrs/week
- Overall
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9.2 / 10
Courses
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Introduction to Algorithms and Complexity
COM SCI 180
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Introduction to Formal Languages and Automata Theory
COM SCI 181
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Theory of Computing
COM SCI 181
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Computer Science Seminar
COM SCI 201
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Algorithmic Machine Learning
COM SCI 260B
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Current Topics in Computer Theory: Algorithmic Machine Learning
COM SCI 289A
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Current Topics in Computer Theory: Great Theory Hits of 21st Century
COM SCI 289A
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Current Topics in Computer Theory: Lecture 1
COM SCI 289A
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Current Topics in Computer Theory: Lecture 2
COM SCI 289A
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Current Topics in Computer Theory: Lecture 80
COM SCI 289A
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Current Topics in Computer Theory: Pseudorandomness and Explicit Constructions
COM SCI 289A
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Research Seminar: Computer Science
COM SCI 298
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Teaching Apprentice Practicum
COM SCI 375
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Directed Individual or Tutorial Studies
COM SCI 596
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Preparation for MS Comprehensive Examination
COM SCI 597A
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Preparation for PhD Preliminary Examination
COM SCI 597B
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Preparation for PhD Oral Qualifying Examination
COM SCI 597C
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Research for and Preparation of MS Thesis
COM SCI 598
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Research for and Preparation of PhD Dissertation
COM SCI 599
Displaying all 19 courses