Provides for the study of topics of current interest in computer science: A. Foundations; B. Software Systems; C. Programming Languages and Software Engineering; D. Information Management; E. Architecture; F. Networking; G. Security; H. Scientific Computing; I. Intelligent and Interactive Systems; N. General.
4
UnitsLetter
Grading1, 2, 3
PasstimeNone
Level LimitEngineering
CollegeI just self-studied for all the materials and got an A. Exams become easy if you can 100% solve all these practice problems.
The instructor was largely unresponsive to emails, including inquiries about the final exam. Even the TA had difficulty reaching her. Lectures were minimal and lacked depth, requiring significant self-study to truly understand the material. If you're looking for a course with strong guidance and engagement, this might not be the best choice.
Good professor with knowledge of the subject. Straightforward in their expectations and lectures.
She knows a lot but can not express it in understandable way, the lectures were not organized, slides are incomplete because she writes additional notes during lecture. No clue what to focus on before final and midterms and didn't even follow her own syllabus. Take her course if you want to lower you GPA and waste time.
The lectures were lackluster and behind schedule, making the course feel a lot harder than it really was. Coburn grades generously, but I feel that I've learned very little in her class.
Prof Baracaldo is not the best at explaining 131 material; she goes rly deep into all of statistical ML proofs and is often times confusing. She's nice though and gives good feedback on project if you approach her after class. HW and quizzes are not bad. TA is rly helpful. Overall not a hard class but ML concepts are hard to understand in general.