- Home
- Search
- Kim Tuan Do
- MATH 61
AD
Based on 4 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
Professor Do is a good lecturer, but at times difficult to understand. He goes through proofs and problems very quickly, so the material may seem like a rush. However, he provides lots of examples after teaching concepts, which I found to be extremely helpful. He also solves some challenging homework problems in class, which also helped in my opinion. He is also approachable during office hours and after class, if you have questions about the lecture or homework problems.
Tests in his class are the same as the practice midterms he gives, except for changing a couple of questions to make the actual test a little more difficult. The TA for my section was also very helpful in giving practice problems each week which were about the same difficulty as the problems on the test. Homework is ~15-20 problems per week from the textbook plus additional exercises/problems he writes.
Take Professor Do if you have some background in mathematical proofs or are strong in math (or data structures/algorithms as the course content aligns with CS 32); if not, the class may seem challenging with the amount of material covered.
very unclear, really bad at answering questions. he does care about the students success and the tas are understanding. tests are not too hard but look out for a time sink worth like 6%. does not deserve a 5.0 rating however.
Prof. Do is a really nice and understanding teacher! His tests greatly reflected the material we learned in class, the homework assignments, and the practice exams. While the proofs and multiple choice were slightly challenging, if you did all the work, you’d have the intuition to solve most/all of them fairly smoothly. He also made our second midterm significantly easier to account for the protest disruptions. He is super responsive and helpful, responding to emails and staying past office hours to help answer some questions as well.
He’s a very humble guy, tells funny math jokes, and often references math history and pop culture. My only concern is that there was no appearance by his Snorlax.
By no means an easy class, but a very valuable one for math and CS majors. It gives you a solid introduction to proofs and the mathematical backings of computer science. The first half of the class is significantly more difficult than the second, as the latter half focuses on graph theory, which most people find easy and fun.
Prof. Do is the best math professor I had this year and genuinely wants his students to learn. He is an excellent lecturer, as he is clear, funny, and good at answering questions. He posts notes that cover everything we need to know. While his homeworks can be quite long, they are good practice, which is necessary in this class. He is good at gauging how hard his tests are and will give free points on problems if many people struggle on them. That being said, they are quite difficult overall. The key to success is to practice, pratice, and practice some more.
Professor Do is a good lecturer, but at times difficult to understand. He goes through proofs and problems very quickly, so the material may seem like a rush. However, he provides lots of examples after teaching concepts, which I found to be extremely helpful. He also solves some challenging homework problems in class, which also helped in my opinion. He is also approachable during office hours and after class, if you have questions about the lecture or homework problems.
Tests in his class are the same as the practice midterms he gives, except for changing a couple of questions to make the actual test a little more difficult. The TA for my section was also very helpful in giving practice problems each week which were about the same difficulty as the problems on the test. Homework is ~15-20 problems per week from the textbook plus additional exercises/problems he writes.
Take Professor Do if you have some background in mathematical proofs or are strong in math (or data structures/algorithms as the course content aligns with CS 32); if not, the class may seem challenging with the amount of material covered.
very unclear, really bad at answering questions. he does care about the students success and the tas are understanding. tests are not too hard but look out for a time sink worth like 6%. does not deserve a 5.0 rating however.
Prof. Do is a really nice and understanding teacher! His tests greatly reflected the material we learned in class, the homework assignments, and the practice exams. While the proofs and multiple choice were slightly challenging, if you did all the work, you’d have the intuition to solve most/all of them fairly smoothly. He also made our second midterm significantly easier to account for the protest disruptions. He is super responsive and helpful, responding to emails and staying past office hours to help answer some questions as well.
He’s a very humble guy, tells funny math jokes, and often references math history and pop culture. My only concern is that there was no appearance by his Snorlax.
By no means an easy class, but a very valuable one for math and CS majors. It gives you a solid introduction to proofs and the mathematical backings of computer science. The first half of the class is significantly more difficult than the second, as the latter half focuses on graph theory, which most people find easy and fun.
Prof. Do is the best math professor I had this year and genuinely wants his students to learn. He is an excellent lecturer, as he is clear, funny, and good at answering questions. He posts notes that cover everything we need to know. While his homeworks can be quite long, they are good practice, which is necessary in this class. He is good at gauging how hard his tests are and will give free points on problems if many people struggle on them. That being said, they are quite difficult overall. The key to success is to practice, pratice, and practice some more.
Based on 4 Users
TOP TAGS
There are no relevant tags for this professor yet.