BENG 100
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BENG 100 Introduction To Bioengineering

  • Average Course Rating (from 3 Students)

    3.5/5
    Overall Rating Breakdown
    • 3 Advice
    • 5
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    • 3
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    • 2
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    • Hard 100%

  • Top Course Tags

    Math-heavy

    Go to Office Hours

    A Few Big Assignments

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    • Profile picture
    Oct 02, 2017
    | No strong feelings either way.

    This class was tough.

    Course Overview:

    The class is required for all BENG majors. The stats applications are pretty useful.

    Course highlights:

    You'll gain a much more in-depth understanding of Statistical/modelling concepts that you might've learned earlier on

    Hours per week:

    12+ hours

    Advice for students:

    Go to office hours whenever you can and re-do the homework problems as practice for exams.

    • Spring 2017
    • Todd Coleman
    • Yes
    • Math-heavy Background Knowledge Expected Go to Office Hours
    • Profile picture
    Aug 28, 2017
    | Would highly recommend.

    This class was tough.

    Course Overview:

    The course material is applicable.

    Course highlights:

    Hypothesis testing was useful.

    Hours per week:

    6-8 hours

    Advice for students:

    Get the essentials down early on.

    • Spring 2017
    • COLEMAN
    • Yes
    • Math-heavy Go to Office Hours A Few Big Assignments
    • Profile picture
    Oct 19, 2016
    | No strong feelings either way.

    This class was tough.

    Course Overview:

    This is a useful class, particularly if you are a Bioinformatics major or are looking for work involving data science in the Biology field. However, Coleman's lectures were somewhat vague and put too much emphasis on explaining the theory. Most students better understood the material when he used real life example problems, but he didn't do this often enough.

    Course highlights:

    This course helped me to better understand statistics I had previously seen but not understood in lab reports. In addition, we were taught some degree of Python in order to better understand the probability theorems, which increased my understanding of programming.

    Hours per week:

    6-8 hours

    Advice for students:

    Don't be afraid to ask the professor or your TA questions if you are having trouble understanding something. This class builds off concepts established in previous lectures, so you can easily fall behind if you don't speak up.

    • Spring 2016
    • COLEMAN
    • Yes
    • Math-heavy Many Small Assignments

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