CSE 4102
Introduction to Artificial Intelligence
The discipline of artificial intelligence (AI) is concerned with building systems that think and act like humans or rationally on some absolute scale. This course is an introduction to the field, with special emphasis on sound modern methods. The topics include knowledge representation, problem solving via search, game playing, logical and probabilistic reasoning, planning, dynamic programming, and reinforcement learning. Programming exercises concretize the key methods. The course targets graduate students and advanced undergraduates. Evaluation is based on written and programming assignments, a midterm exam and a final exam. Prerequisites: CSE 247, ESE 326 ( or Math 3200 or Math 3211 or Engr 328), and Math 233. This course will be taught using Zoom and will be recorded. *CSE 4102 has mandatory evening exams; the specific days and times will be listed under assessments on the course section once confirmed.
Instructors
Reviews
2-4 hrs/week
Literally just a copy of the Berkley curriculum. Prof is terrible at answering questions. Not hard to get an A though.
6/18/2024
2-4 hrs/week
This entire class is just Berkley Intro to AI so you don't actually have to do any of the projects just find a GitHub Repo... Exams are okay
5/31/2024
Tabakhi seemed to know concepts well but didn't take the time to explain them. You will learn and understand most of the concepts in this class by doing homework as the lectures are pretty useless in explaining things. You are also not taught a single Python package or line of code in this class so good luck coding the projects all by yourself.
5/2/2024
I first took CSE247 with Tabakhi and strongly disliked her as a professor. However, I feel as though she does better teaching higher level material in 412. I've enjoyed her lectures more and feel like she knows the content better than in 247. Overall, pleasantly surprised with the course after a poor experience in 247 with her.
4/29/2024
Professor Tabakhi seemed to lack professional knowledge and was unable to answer student's questions accurately. In fact, she doesn't seem to understand student's struggle every time. The pace of the class is sometimes too slow and she still doesn't do a good job explaining the important concept. She heavily relies on her slide.
3/28/2024
Exams are difficult but curved. Homework can be long but only 3 throughout the semester, and she is very flexible in giving extensions.
1/26/2024
She is a little misunderstood. I came into the course very concerned she also has a reputation for making very difficult exams. However, throughout the course, my perspective seriously changed. She gave me extra points for my first exam. I would recommend to participate in class so she recognizes you and she will return the favor. Know math.
12/7/2023
She ripped the whole class content from stanford but with much less depth yet she still is incapable of explaining any of the concepts well in class. She does pollevs worth like 5% of your whole grade to make you come to class but you wont see a single person paying attention because she cant teach.
12/7/2023
Exam are 30% total of grade, but you can achieve 100% on everything else. If you attempt to study for the exams, you will probably have to use the textbook and online resources from UC Berkeley (the class is entirely copied from ucb cs 188). Her lectures will familiarize you with the content. 3 projects, 7 HWs, attendance only 4%. Not super helpful
11/17/2023
She cares about the students learning the material well and tries to make the lectures engaging. The course is modeled after Berkeley's so there's plenty of online support. The projects are fun though the exams are hard. As long as you pay attention and do the work, you should have a good time. I really enjoyed the class!
5/2/2023
She's okay. The class is literally a copy of berkeley's so I would recommend if you dont like her lectures to look up the berkeley ones and do the exercises. The exercises are pretty much practice exams for the midterm and final so def pay attention when she goes over those.
4/27/2023
even though she copies the materials from CS188 she can't teach.nShe can only use tough exam to proof her existence. What a shame!
3/2/2023
lecture is hard to follow and has little correlation with projects. You will have to learn python all by yourself in order to do the projects, which are super long.\nMidterm was pretty difficult, and there is like zero practice for the exam except few exercise she mentioned in class. And it count 20% of the grade.
3/2/2023
Absolutely terrible professor. Class content does not relate to projects. You are left learning/relearning much on your own. Would recommend taking the course with another professor.
2/25/2023
One of the worst professors I've ever had. Entire course content taken from Berkeley's AI course and it seemed even she was confused by it. She made multiple mistakes during class and was often corrected by students. Half of the course grade is also very hard exams. A class avg of 80 on midterm was deemed too high so no extra credit opportunities.
12/23/2022