Behtash Babadi

This professor has taught: CMSC828C, DATA603, EDSP652, ENEE222, ENEE425, ENEE436, ENEE439M, ENEE620, ENEE630, ENEE633, ENEE698P, ENEE739B, ENTS669D, MSML603, NACS898
Information Review
Behtash Babadi
ENEE436

Anonymous
05/22/2023
He's a wonderful teacher - the lectures are carefully prepared and really interesting, you can tell he's passionate and knowledgeable about the field. He's very nice and always open to questions. Workload and deadlines for the course were always reasonable, and projects are simple and graded leniently. Take him if you get the chance.
Behtash Babadi
ENEE633

Expecting an A
Anonymous
12/26/2022
Babadi is one of the best lecturers I've seen during my 5 years at UMD. He comes well-prepared to every class, delivering detailed yet intuitive lectures that allow students of various academic backgrounds to understand the difficult material. Seems ready to answer just about any question you throw at him. Also very punctual over email. His exams are tough but doable if you have a strong grasp of various mathematical fields (statistics, calculus, linear algebra). However, you should be fine if you work hard to understand the homework concepts, and don't skimp on the two projects!
Behtash Babadi
ENEE439M

Expecting a B+
Anonymous
06/05/2019
Very smart professor who is very knowledgeable about the subject matter. Always friendly during lecture, provides clear explanations of the material with easy to understand examples, and covers everything on the exams, homework, and projects in class. However, if you do take ENEE439m, be aware that it is a graduate level course and you will be treated as such. For the projects (which are very fun and interesting btw) you are given a lot of freedom in terms of the implementation of the project, but as a result you are given little guidance. Coming into the class, I had little experience with MATLAB, python, or R and thus struggled in getting started on the projects. Grading in the class is fair, and if you put in effort on the homeworks, get the projects working, and study for exams like any other class, you can expect to get a good grade. Overall, despite having a few difficulties grasping the material (it is challenging stuff), and getting started on the projects, I enjoyed the class and learned a lot. I would fully recommend Prof. Babadi and ENEE439m to anyone interested in machine learning theory and application.