Not too easy. Not too difficult.
Course Overview:
Professor Talaska clearly explained the material. The topic is a little challenging but manageable if you put in the effort. The course consists of combinatorics, statistics, and calculus. Previous knowledge of calculus and statistics are useful in this course.
Course highlights:
During this course, I learned methods of counting. I learned about statistical testing. I also learned how to solve differential equations. Furthermore, I also learned how to use matrix to solve a system of equations.
Hours per week:
9-11 hours
Advice for students:
Advice that I would give to students considering this course is to attend class regularly. You should also take detailed and organized notes that are easy to follow. Furthermore, you should complete all of the homework assignments, and do extra practice problems in order to prepare for exams.
Not too easy. Not too difficult.
Course Overview:
This course is a designed math course for aspiring healthcare-related professionals. It provides a strong basis of both fundamental math and statistics for biological sciences.
Course highlights:
Besides the technical math and statistical tools, I learned that staying on top of the material and not falling behind is the most crucial aspect of this class.
Hours per week:
9-11 hours
Advice for students:
Make sure you pay attention in class, read over your notes, and practice doing problems. Math only gets easier the more you do it.
Not too easy. Not too difficult.
Course Overview:
As a bio major, I always felt that math was something useful, but not a field I found particularly exciting. Professor Ribet's enthusiasm and prestige is infectious: he rekindled my interest in math that once existed in seventh grade Algebra I, and brought it to a whole new level. Not only is he an entertaining lecturer, but he is also a wonderful person. Every week, he offers his free time to dine with students for breakfasts, lunches, and dinners. He also holds multiple office hours, some in his personal office and some at the Student Learning Center.
Course highlights:
I learned that a professor at a big university with a huge amount of prestige could be approachable and friendly. And yes, I learned a good deal about combinatorics (who can ever forget those bagel problems), statistics, and some linear algebra.
Hours per week:
6-8 hours
Advice for students:
Get to know Professor Ribet. And keep a diligent study schedule.