Wei Wang

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COM SCI 145
Introduction to Data Mining See Full Profile

Overall 1.0 Easiness 1.0 Workload 1.5 Clarity 1.0 Helpfulness 1.0

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"Data Mining" sounds like a great class—until you realize that it means sitting through 1.5 hours of research papers converted into incomprehensible PowerPoint slides. Professor Wang is the epitome of a professor who does not know how to teach, because she clearly never received training in it. Examples are not worked out, complex diagrams, definitions, and tables are breezed by before they can even be fully examined, and every slide has a million items on it. Her style is to drop an unintelligible stream of academic jargon and acronyms before saying, "Okay? Great, let's move on." People have no idea where to even begin asking questions.

The tests are all multiple-choice, which sounds easy for the pattern-matching powers of most modern college students. Except, they usually require working out long algorithms. Now trying repeating 10-minute computations for 20 questions in a row with only 100 minutes for the midterm. The average and median came out to 13/20. You do the math, because she clearly didn't.

This is a common predicament in the math lowerdivs: a non-helpful professor and bad presentation of material. In that case, you could turn to the textbook (or better yet, KhanAcademy). In a CS upperdiv like this, you can only hopelessly Google for slightly more comprehensible slides from other universities. The professor also doesn't follow the textbook (which is similarly jargon and math-heavy). Your only saving grace is the TAs, and not even all of them were helpful enough.

To top it all off, you have a group project to struggle through for the last half of the quarter. Overall, CS 145 is a stinking example of all that is wrong with the theory-heavy CS curriculum at UCLA. Avoid it at all costs and go do something useful with your time. The world has many real problems to solve.

(Fall Quarter 2016)
BIOL CH M229S
Seminar: Current Topics in Bioinformatics See Full Profile

Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness N/A

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COM SCI 245
Big Data Analytics Full Profile > N/A Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness
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COM SCI 245
Big Data Analytics See Full Profile

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COM SCI 249
Current Topics in Data Structures: Data Mining See Full Profile

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COM SCI 249
Current Topics in Data Structures See Full Profile

Overall 1.0 Easiness 1.0 Workload 1.7 Clarity 1.0 Helpfulness 1.0

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Oh my god. I am here to send my bless to all of the students taking this class including myself. This course is probably the worst class that I have taken in my entire life. By looking at the course material, it sounds interesting and useful. But this professor ruined everything. I can barely understood what she was talking in the lecture. PowerPoint slides missed so many details so students got lost. But the test was tedious, very hard and pointless.

Also, i want to call out TA in this class. Very irresponsible. We tried to ask him questions but he never explained or made up something trying to get over this office hour. Also, it takes forever to get your assignment grade from the TA. It took several weeks to get ur grade since u submitted. The whole quarter is only ten weeks!!!!

Life can be so amazing and meaningful. Dont waste time on this course. Its just not worth it. I meant it.

(Spring Quarter 2020)
COM SCI 298
Research Seminar: Computer Science See Full Profile

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ENGR 375
Teaching Apprentice Practicum Full Profile > N/A Overall N/A Easiness N/A Workload N/A Clarity N/A Helpfulness
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ENGR 375
Teaching Apprentice Practicum See Full Profile

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