Research opportunities for undergraduate students. Students practice their data science and applied statistics skills by completing a hands-on team project on a practical problem proposed by a project sponsor. Students are expected to give regular oral presentations and prepare at least one written report on their research.
2 - 4
UnitsOptional
Grading1, 2, 3
PasstimeUpper division only
Level LimitLetters and science
CollegeNice person but not very accessible outside of class. Lectures are lackluster, expect to self study a big portion of the class. Dont expect to leave with good knowledge of mathematical statistics.
I 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.