- Home
- Search
- Tyson Roberts
- POL SCI 6
AD
Based on 7 Users
TOP TAGS
There are no relevant tags for this professor yet.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Sorry, no enrollment data is available.
AD
Super disorganized + doesn't actually teach the class material ( a program does). My TA taught me everything. Pretty sure Roberts is writing his own positive reviews. Roberts is "understanding" because he messes up so much during the quarter. So if that's what you're into then go for it.
This class was kind of a train wreck organizationally and logistically speaking, but I didn't think it was bad overall. Professor Roberts came up with two different ways to calculate the final grade, one more homework/participation based, and one more test based. The weekly homework from the textbooks took FOREVER but it was very useful because that's where I learned the bulk of the material- not from lecture. I felt like lectures were kind of pointless because we just worked on these in-class coding worksheets as a group, but he moved SO SLOWLY and we never finished a whole worksheet. I'd recommend just completing them with your TA or on your own time, since lecture attendance isn't mandatory. There were four quizzes that were the majority of the final grade. The quizzes were extremely similar to the in-class worksheets so just make sure you complete those (after each worksheet is due, Prof. Roberts would post the answers so if you go back and check your answers, you're set). I think people just struggled with timing because the quizzes were LONG af. He drops your lowest quiz score AND he even offered a re-do for one of the quizzes that everyone bombed. Finally, he made the final optional at the request of the students, so he's super understanding and chill.
Took this class online with Professor Roberts during spring 2021 and it was pretty straightforward. You have weekly coursekatas that are due weekly before lecture and 4 quizzes throughout the quarter (plus a final). The quizzes were pretty easy and sometimes we were allowed test corrections. The workload is kinda alot. Seems like a lot of busy work and stuff to remember, but in all honesty it was very easy. Professor Roberts is very understanding and cool.
This class wasn't too bad overall. The only thing that sucked about this class was that he gave out a lot of homework and that burnt me out pretty early on. The homework isn't too difficult either, it's just reading and completing activities through CourseKata but it can be a lot and feel tedious at times. Professor is also generous with grading. Homework is graded based on completion and you also earn participation credit by completing weekly Jupyter notebooks, which provides a nice boost to your grade. He also offers extra credit at the beginning and end of the quarter. He also has two grading schemes, one of them counts homework and participation as 35% of your grade!
With exams, we had no midterms just 4 quizzes (2 of them were take home quizzes) and an optional final. His quizzes are similar to the weekly Jupyter notebooks so if you understand those, you should be fine. He also had quizzes/tests be open note just in case you forget a command.
Overall Professor Roberts and the TAs were cool and understanding and really took in student feedback (and actually listened to it). This is a good class to take if you want to explore data analytics but I wouldn't recommend taking this class if you're already taking on a heavy courseload because there's times where this class can overwhelming. I personally came out of this being more interested in a career in data analytics even though I'm a north campus major and don't really like numbers
Professor Tyson is a very kind professor and I enjoyed this class. The class consisted of homework, which was coding and creating basic graphs with simple code. I had some tech issues with the final and midterm but Prof Tyson was understanding. Extra credit questions were also offered. The content of this class was relatively boring, however since it is a major requirement for Political Science I would recommend taking this class with Prof Tyson.
Super disorganized + doesn't actually teach the class material ( a program does). My TA taught me everything. Pretty sure Roberts is writing his own positive reviews. Roberts is "understanding" because he messes up so much during the quarter. So if that's what you're into then go for it.
This class was kind of a train wreck organizationally and logistically speaking, but I didn't think it was bad overall. Professor Roberts came up with two different ways to calculate the final grade, one more homework/participation based, and one more test based. The weekly homework from the textbooks took FOREVER but it was very useful because that's where I learned the bulk of the material- not from lecture. I felt like lectures were kind of pointless because we just worked on these in-class coding worksheets as a group, but he moved SO SLOWLY and we never finished a whole worksheet. I'd recommend just completing them with your TA or on your own time, since lecture attendance isn't mandatory. There were four quizzes that were the majority of the final grade. The quizzes were extremely similar to the in-class worksheets so just make sure you complete those (after each worksheet is due, Prof. Roberts would post the answers so if you go back and check your answers, you're set). I think people just struggled with timing because the quizzes were LONG af. He drops your lowest quiz score AND he even offered a re-do for one of the quizzes that everyone bombed. Finally, he made the final optional at the request of the students, so he's super understanding and chill.
Took this class online with Professor Roberts during spring 2021 and it was pretty straightforward. You have weekly coursekatas that are due weekly before lecture and 4 quizzes throughout the quarter (plus a final). The quizzes were pretty easy and sometimes we were allowed test corrections. The workload is kinda alot. Seems like a lot of busy work and stuff to remember, but in all honesty it was very easy. Professor Roberts is very understanding and cool.
This class wasn't too bad overall. The only thing that sucked about this class was that he gave out a lot of homework and that burnt me out pretty early on. The homework isn't too difficult either, it's just reading and completing activities through CourseKata but it can be a lot and feel tedious at times. Professor is also generous with grading. Homework is graded based on completion and you also earn participation credit by completing weekly Jupyter notebooks, which provides a nice boost to your grade. He also offers extra credit at the beginning and end of the quarter. He also has two grading schemes, one of them counts homework and participation as 35% of your grade!
With exams, we had no midterms just 4 quizzes (2 of them were take home quizzes) and an optional final. His quizzes are similar to the weekly Jupyter notebooks so if you understand those, you should be fine. He also had quizzes/tests be open note just in case you forget a command.
Overall Professor Roberts and the TAs were cool and understanding and really took in student feedback (and actually listened to it). This is a good class to take if you want to explore data analytics but I wouldn't recommend taking this class if you're already taking on a heavy courseload because there's times where this class can overwhelming. I personally came out of this being more interested in a career in data analytics even though I'm a north campus major and don't really like numbers
Professor Tyson is a very kind professor and I enjoyed this class. The class consisted of homework, which was coding and creating basic graphs with simple code. I had some tech issues with the final and midterm but Prof Tyson was understanding. Extra credit questions were also offered. The content of this class was relatively boring, however since it is a major requirement for Political Science I would recommend taking this class with Prof Tyson.
Based on 7 Users
TOP TAGS
There are no relevant tags for this professor yet.