Baharan Mirzasoleiman
Review Summary
- Clarity
-
8.3 / 10
- Organization
-
10.0 / 10
- Time
-
0-5 hrs/week
- Overall
-
5.0 / 10
Courses
-
Introduction to Data Science
EC ENGR M148
-
Introduction to Data Science
COM SCI M148
-
Special Courses in Computer Science: Data Science Fundamentals
COM SCI 188
-
Computer Science Seminar
COM SCI 201
-
Large-Scale Machine Learning
COM SCI 260D
-
Seminar: Current Topics in Artificial Intelligence: Advanced Data Quality for Machine Learning
COM SCI 269
-
Seminar: Current Topics in Artificial Intelligence: Advanced Topics in Large-Scale Machine Learning
COM SCI 269
-
Seminar: Current Topics in Artificial Intelligence: Efficient Machine Learning on Massive Datasets
COM SCI 269
-
Seminar: Current Topics in Artificial Intelligence: Large-Scale Machine Learning
COM SCI 269
-
Seminar: Current Topics in Artificial Intelligence: Seminar 1
COM SCI 269
-
Research Seminar: Computer Science
COM SCI 298
-
Teaching Apprentice Practicum
COM SCI 375
-
Directed Individual or Tutorial Studies
COM SCI 596
-
Preparation for MS Comprehensive Examination
COM SCI 597A
-
Preparation for PhD Preliminary Examination
COM SCI 597B
-
Preparation for PhD Oral Qualifying Examination
COM SCI 597C
-
Research for and Preparation of MS Thesis
COM SCI 598
-
Research for and Preparation of PhD Dissertation
COM SCI 599
Displaying all 18 courses