Suhas N. Diggavi
Review Summary
- Clarity
-
7.5 / 10
- Organization
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7.5 / 10
- Time
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5-10 hrs/week
- Overall
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8.3 / 10
Courses
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Introduction to Communication Systems
EL ENGR 132A
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Introduction to Communication Systems
EC ENGR 132A
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Introduction to Machine Learning
EC ENGR M146
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Introduction to Machine Learning
COM SCI M146
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Information Theory
EC ENGR 231A
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Information Theory: Channel and Source Coding
EL ENGR 231A
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Network Information Theory
EL ENGR 231B
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Special Topics in Signals and Systems
EL ENGR 239AS
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Special Topics in Signals and Systems: Foundations of Statistical Machine Learning
EC ENGR 239AS
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Stochastic Processes
EL ENGR 241A
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Stochastic Processes
EC ENGR 241A
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Foundations of Statistical Machine Learning
EC ENGR 246
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Seminar: Research Topics in Electrical Engineering
EL ENGR 296
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Seminar: Research Topics in Electrical Engineering
EC ENGR 296
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Seminar Series: Electrical Engineering: Seminar 1
EC ENGR 297
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M.S. Project Seminar
EL ENGR 299
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MS Project Seminar
EC ENGR 299
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Directed Individual or Tutorial Studies
EC ENGR 596
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Preparation for MS Comprehensive Examination
EC ENGR 597A
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Preparation for PhD Preliminary Examinations
EC ENGR 597B
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Preparation for PhD Oral Qualifying Examination
EC ENGR 597C
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Research for and Preparation of MS Thesis
EC ENGR 598
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Research for and Preparation of PhD Dissertation
EC ENGR 599
Displaying all 23 courses