Lara Dolecek and Haoyuan Wu
Review Summary
- Clarity
-
8.3 / 10
- Organization
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8.3 / 10
- Time
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10-15 hrs/week
- Overall
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8.3 / 10
Courses
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Applied Numerical Computing
EL ENGR 103
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Probability
EL ENGR 131A
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Probability and Statistics
EL ENGR 131A
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Probability and Statistics
EC ENGR 131A
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Introduction to Communication Systems
EL ENGR 132A
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Introduction to Machine Learning
COM SCI M146
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Introduction to Machine Learning
EC ENGR M146
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Introduction to Data Science
EC ENGR M148
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Introduction to Data Science
COM SCI M148
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Matrix Analysis for Scientists and Engineers
EC ENGR 205A
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Information Theory: Channel and Source Coding
EL ENGR 231A
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Mathematical Foundations of Data Storage Systems
EL ENGR 235A
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Mathematical Foundations of Data Storage Systems
EC ENGR 235A
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Special Topics in Signals and Systems
EL ENGR 239AS
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Seminar: Research Topics in Electrical Engineering
EC ENGR 296
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Seminar: Research Topics in Electrical Engineering
EL ENGR 296
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Seminar Series: Electrical Engineering: Seminar 1
EL 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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Teaching Apprentice Practicum
ENGR 375
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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 26 courses