MATH 10B * We aren't endorsed by this school

MATH 10B Methods of Mathematics: Calculus, Statistics, and Combinatorics

  • Average Course Rating (from 3 Students)

    4.3/5
    Overall Rating Breakdown
    • 3 Advice
    • 5
      33%
    • 4
      67%
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    • 2
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  • Course Difficulty Rating

    • Easy 0%

    • Medium 67%

    • Hard 33%

  • Top Course Tags

    Go to Office Hours

    Great Intro to the Subject

    Math-heavy

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    • Profile picture
    Oct 31, 2016
    | Would recommend.

    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.

    • Spring 2016
    • RIBET
    • Yes
    • Math-heavy Great Intro to the Subject Go to Office Hours
    • Profile picture
    Jun 27, 2016
    | Would highly recommend.

    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.

    • Spring 2016
    • RIBET
    • Yes
    • Great Intro to the Subject Go to Office Hours Great Discussions
    • Profile picture
    May 03, 2016
    | Would recommend.

    This class was tough.

    Course Overview:

    The material taught in this course is very interesting and cumulative. It tests not only skills of computation but conceptual ideas as well.

    Course highlights:

    I learned that it is important to study a little bit every day so that concepts sink in. Practice problems test your knowledge and it is important to study in a way that mimics a testing environment.

    Hours per week:

    12+ hours

    Advice for students:

    Do a lot of practice problems and make sure that you study a little bit every day. Pay attention to lectures and make sure you understand every concept because the material builds upon itself.

    • Spring 2016
    • Pachter,L
    • Yes
    • Math-heavy Go to Office Hours Many Small Assignments

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