Introduction to Discrete Structures

Description: Lecture, three hours; discussion, one hour. Requisites: courses 31A, 31B. Not open for credit to students with credit for course 180 or 184. Discrete structures commonly used in computer science and mathematics, including sets and relations, permutations and combinations, graphs and trees, induction. P/NP or letter grading.

Units: 4.0
2 of 5
Overall Rating 5.0
Easiness 3.6/ 5
Clarity 5.0/ 5
Workload 3.8/ 5
Helpfulness 5.0/ 5
Most Helpful Review
Spring 2021 - Professor Gannon is my absolute favorite professor in my 2 years at UCLA. Words cannot describe how much I wish I could take every class with him. Gannon made me feel like I was attending a little “fireside chat” in every lecture. The lecturing environment was supremely chill and relaxed compared to every other math class I’ve been in. You can tell that Gannon keeps his students engaged and gives them the intrinsic motivation to learn math. It’s just his charm. Homework assignments were rather difficult compared to other math classes I’ve been in. There was one particular problem on an assignment that took me 8 hours to figure out. To be sure, though, that problem was an outlier. A few problems on each assignment are graded for accuracy, while the rest are graded for completion. He also gives extra practice problems on each assignment, and I highly recommend you do them. I probably spent an average of 8 hours on each assignment. Homework assignments are designed to be harder than exams. The exams in this class were fair but hard. Gannon finds ways to interconnect multiple concepts we learned in single problems. It is essential that you remember every theorem in class and pay attention to how the material from one lecture may connect to material from the others. I leave this class feeling like I learned a lot and confident in what I learned. Grading (there were 8 homework assignments in total): 20% Homework (Best 7 scores); 25% Midterm 1; 25% Midterm 2; 30% Final exam or 20% Homework (Best 7 scores); 35% Best midterm score; 45% Final exam And in case you were wondering, his beard is as luscious as it appears in his profile pic, perhaps even more. What a stud.
Overall Rating 4.3
Easiness 3.8/ 5
Clarity 4.5/ 5
Workload 4.1/ 5
Helpfulness 4.5/ 5
Most Helpful Review
Winter 2022 - Disclaimer: I don't consider myself good at math. Hazel's teaching is pretty good. She's clear at showing what format she wants proofs to be in and makes sure to go over many examples that pop up in the homework, so as long as you look at her examples, it won't be too bad. I found it a lot easier to listen to lecture than try to understand the textbook for this class, while the opposite was true for my other math classes. She also recorded her lectures. She "assigns" many homework problems, but you only have to turn in three or four per section, so most of them are extra practice. The problems themself aren't hard, but because this was my first proof-based class, I didn't find them easy, either. I would definitely do the extra problems because similar ones appear on tests. The lowest homework is dropped. Her tests were pretty straightforward in terms of difficulty; there were only one or two problems where I was like "bruh". For Midterm 1 and the Final, she had a combination of open-ended questions and multiple-choice, while Midterm 2 was all open-ended. The lowest midterm is dropped. Attending discussions is mandatory because there are weekly worksheets you complete with other people. However, she drops the lowest four worksheets, so you only have to go half the quarter. Overall, I think this class was pretty good, though that might be because I took it while most things were still online. I would take Hazel's class again if given the choice.
Overall Rating 3.2
Easiness 2.0/ 5
Clarity 3.2/ 5
Workload 2.2/ 5
Helpfulness 3.5/ 5
Overall Rating 3.8
Easiness 4.0/ 5
Clarity 3.2/ 5
Workload 4.6/ 5
Helpfulness 3.8/ 5
Overall Rating N/A
Easiness N/A/ 5
Clarity N/A/ 5
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