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Akram Almohalwas
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Based on 142 Users
Almo is quite funny and definitely cares about his students, but any structure in this class is nonexistent. As previous reviews have acknowledged, his "notes" are just random files on Bruinlearn that consist of R outputs with little context. Besides this, though, the class isn't actually too difficult since the class is essentially entirely computational. The homeworks are graded pretty leniently and the midterm and final were both calculating various values associated with regression outputs. Definitely make a formula sheet from his notes--it will be invaluable since you can use it on exams. Overall, I didn't really enjoy this class.
This professor very clearly cares about his students. He is super responsive if you email him and always seems willing to help out when you ask him questions inside and outside of the classroom. Homework assignments are pretty reasonable and graded very generously, and most questions on quizzes/assessments are also pretty straightforward; just be sure to keep track of all formulas discussed during class, and you should be fine. The biggest downside to taking this class with this professor is that he is SUPER disorganized. The Bruin Learn site is a jumble of random files, only about half of which are discussed/relevant to whatever is going on in class at any given time. The final project is also a total mess, as he typically assigns groups before people drop the class, so you might end up doing a group project alone (I asked to get reassigned multiple times, and he never got around to doing it). The final project is also due a few days after the final exam/end of the quarter, so you may find yourself working on it during your break.
Almohalwas copied Christou's lecture notes (plus a bunch of other random notes from the Web) and posted an overwhelming amount on CCLE. Slightly disorganized, but he was helpful in explaining the challenging concepts of 100B slowly. If you're looking for a less intense version of 100B, have a solid math background, and can be patient with his disorganizedness, take him.
First off, I'm surprised by the older reviews. I think he had a really good class this quarter, since I really enjoyed taking this class.
Now, there were some struggles. For one, the structure of this course was not that easy to follow. He supplies a TON of extra resources on bruinlearn and it can get a little overwhelming. The lecture slides are also like 100 pages long so they're difficult to study. He also neglects to use the announcements page on bruinlearn, so everything important is only ever mentioned in class.
But, here's the thing: he let us do a freaking take home exam! I think due to the protest disruption and strike. But besides that, he practically explains exactly how to do all of the homework assignments in lecture, even showing the code and saying "that's the answer to problem 2 on the homework, I just gave it to you." He also recorded all of the lectures this term, and graded our homework based on effort and completion.
So the class was really easy, it's just not always easy to follow. But the recorded lectures and the TA were super helpful, and if you're into this kinda stuff, then he actually provides ton of great resources for you to learn more. Plus, he's pretty damn funny.
This class was a mess. Tests were fair, labs weren't too bad (TAs generally gave us the R script we needed), and he dropped the lowest quiz and lab grades, which helped. However, his lectures were all over the place, and he would go off on random tangents and rants. He even threw in a fairly inappropriate joke before we took our final. Overall, the class was pretty easy, but if I had any enjoyment of statistics before the class, it is now long gone.
I took him for Stats 101B and Stats 101C, and honestly, I don't think he's that bad. He is definitely an unclear lecturer, but supplies an abundance of slides (which lack adequate information), so you know what to study (I looked in the textbooks to solidify my understanding of the material). He is unresponsive, but TAs can usually answer most of your questions about homeworks and projects. For 101C, we had a midterm (in-person, VERY fair), a final (take-home, easy), and a group project on Kaggle where teams were ranked by performance (we were around 13/32 and got an A+, so I don't think grading was very harsh). We also had 6 homeworks, which varied in difficulty (all on R). At the end of the day, his tests are pretty easy, his projects are graded nicely, and he cares about his students doing well in his class. Although he is a bad lecturer, don't be afraid to take him!
So disorganized, which made everything confusing for students. Useless class, honestly it was a lot of waffling/blabbering. I feel like it is very extra and not needed. Skip if you can.
If you've taken AP Statistics before then this is a breeze. We only covered one prop, one mean, two prop, two mean, chi-square, and linear regression in this class which made things a lot simpler than AP Stat. The labs do involve R which was pretty daunting to me as someone who's never coded before, but we basically just copied the code from the TA during lab. Therefore, the labs were very easy as long as you type fast enough to keep up with the TA's code in the lab section. The mean for the Winter 2023 final was 86% after the professor curved it, which is relatively high compared to other classes. The professor is a little hard to understand and he does go on tangents often, but the content is fairly easy so that wasn't a problem
Almo is quite funny and definitely cares about his students, but any structure in this class is nonexistent. As previous reviews have acknowledged, his "notes" are just random files on Bruinlearn that consist of R outputs with little context. Besides this, though, the class isn't actually too difficult since the class is essentially entirely computational. The homeworks are graded pretty leniently and the midterm and final were both calculating various values associated with regression outputs. Definitely make a formula sheet from his notes--it will be invaluable since you can use it on exams. Overall, I didn't really enjoy this class.
This professor very clearly cares about his students. He is super responsive if you email him and always seems willing to help out when you ask him questions inside and outside of the classroom. Homework assignments are pretty reasonable and graded very generously, and most questions on quizzes/assessments are also pretty straightforward; just be sure to keep track of all formulas discussed during class, and you should be fine. The biggest downside to taking this class with this professor is that he is SUPER disorganized. The Bruin Learn site is a jumble of random files, only about half of which are discussed/relevant to whatever is going on in class at any given time. The final project is also a total mess, as he typically assigns groups before people drop the class, so you might end up doing a group project alone (I asked to get reassigned multiple times, and he never got around to doing it). The final project is also due a few days after the final exam/end of the quarter, so you may find yourself working on it during your break.
Almohalwas copied Christou's lecture notes (plus a bunch of other random notes from the Web) and posted an overwhelming amount on CCLE. Slightly disorganized, but he was helpful in explaining the challenging concepts of 100B slowly. If you're looking for a less intense version of 100B, have a solid math background, and can be patient with his disorganizedness, take him.
First off, I'm surprised by the older reviews. I think he had a really good class this quarter, since I really enjoyed taking this class.
Now, there were some struggles. For one, the structure of this course was not that easy to follow. He supplies a TON of extra resources on bruinlearn and it can get a little overwhelming. The lecture slides are also like 100 pages long so they're difficult to study. He also neglects to use the announcements page on bruinlearn, so everything important is only ever mentioned in class.
But, here's the thing: he let us do a freaking take home exam! I think due to the protest disruption and strike. But besides that, he practically explains exactly how to do all of the homework assignments in lecture, even showing the code and saying "that's the answer to problem 2 on the homework, I just gave it to you." He also recorded all of the lectures this term, and graded our homework based on effort and completion.
So the class was really easy, it's just not always easy to follow. But the recorded lectures and the TA were super helpful, and if you're into this kinda stuff, then he actually provides ton of great resources for you to learn more. Plus, he's pretty damn funny.
This class was a mess. Tests were fair, labs weren't too bad (TAs generally gave us the R script we needed), and he dropped the lowest quiz and lab grades, which helped. However, his lectures were all over the place, and he would go off on random tangents and rants. He even threw in a fairly inappropriate joke before we took our final. Overall, the class was pretty easy, but if I had any enjoyment of statistics before the class, it is now long gone.
I took him for Stats 101B and Stats 101C, and honestly, I don't think he's that bad. He is definitely an unclear lecturer, but supplies an abundance of slides (which lack adequate information), so you know what to study (I looked in the textbooks to solidify my understanding of the material). He is unresponsive, but TAs can usually answer most of your questions about homeworks and projects. For 101C, we had a midterm (in-person, VERY fair), a final (take-home, easy), and a group project on Kaggle where teams were ranked by performance (we were around 13/32 and got an A+, so I don't think grading was very harsh). We also had 6 homeworks, which varied in difficulty (all on R). At the end of the day, his tests are pretty easy, his projects are graded nicely, and he cares about his students doing well in his class. Although he is a bad lecturer, don't be afraid to take him!
If you've taken AP Statistics before then this is a breeze. We only covered one prop, one mean, two prop, two mean, chi-square, and linear regression in this class which made things a lot simpler than AP Stat. The labs do involve R which was pretty daunting to me as someone who's never coded before, but we basically just copied the code from the TA during lab. Therefore, the labs were very easy as long as you type fast enough to keep up with the TA's code in the lab section. The mean for the Winter 2023 final was 86% after the professor curved it, which is relatively high compared to other classes. The professor is a little hard to understand and he does go on tangents often, but the content is fairly easy so that wasn't a problem