Fantastic professor. Not much else to say. Her lectures were great, and it's extremely appreciated how she records her lectures. She's nice and approachable, and the midterm exam was actually fair. The homework assignments are put together very well, and I honestly had fun doing them. I like that she knows what her class is supposed to focus on and doesn't go too far into the mathematics. I'm just really happy with this class and prof overall.

Overall, this class was great! The workload was pretty manageable, and the professor was super nice!

There were 2 hw assignments and 2 projects. The hw assignments were very doable but it was easy to mess up on small details, so double-check your work. The projects were pretty easy, and the TAs are very helpful for both projects and hw.

The professor was always willing to answer questions in class and covered material at a very reasonable pace.

I took m146 concurrently, and I will say there was a good deal of overlap between the classes. However, I think taking both classes gave me a better understanding of the concepts, and I got to learn things from different perspectives.

My main issue with this class was pacing. We spent the first 20 minutes of each lecture recapping the last, and even ignoring this fact, lectures felt too slow. I think we should have spent less time on topics most people have already been introduced to like statistics and linear regression (these are prerequisites for the course, after all). I also personally think this course would benefit from more math/proofs.

Another issue, in my opinion, was grading. Grades were often inaccurate, and although regrade requests were handled promptly, it should not be on students to ensure that their grades are fair to such an extent. It also often took a long time to publish grades.

A few positives were that the professor was very nice and receptive to questions, lectures were relatively organized, and nice intuitions were provided.

This class provides a great foundation, high level overview of Data Science and I learned so much as a non CS Major being introduced to the field for the first time. I appreciated how intuitive the concepts were taught and the best part of this class by far is Professor Mirzasoleiman. She is extremely knowledgable about the subject and taught everything clearly. She was always so patient and approachable when you had any confusions and she would explain them until you got them--it was super clear how much she cared about her students' learning and always so willing to help her students. Can't say enough amazing things about the professor!

The pace of the class as a non CS major was perfect. She would recap previous week's topics that were abstract in the beginning 20 minutes of each class (Neural Networks were especially hard to grasp initially for me but due to the repetition and continued explanations in class I eventually understood it). We were always given plenty of time to complete the homeworks (2 over the quarter) and coding projects (2 over the quarter) that were not very difficult if you paid attention in lecture. Tests were 1 midterm and 1 final that were all similar to the homeworks and focused mainly on understanding of the concepts (no coding questions at all on the exams). Definitely a very doable and fulfilling class to take!

Recorded lectures, easy homeworks and projects, clear exams (I got a low grade because I didn't watch any lectures after midterm and bombed final)

Great teaching, clear explanation, easy course in nature, great TAs! I liked it!

Great teaching, clear explanation, easy course in nature, great TAs! I liked it!