MA 26100
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MA 26100 Multivariate Calculus

  • School:
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  • Professor:
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    MARIUSD.DADARLAT, DANIELLI, JamesMcclure, davidNorris, JacobBoswell, AndreiGabrielov, N/A, AlessandraCostantini(P), AlexiaS.Mintos, AlexiaS.Mintos(P), 111, JohnnyEBrown, BenjaminC.Wiles, V."Ragu"Balakrishnan, RALPHKAUFFMAN, Bauman,Patricia, ZhiqiangCai, Joseph,Chen, DominicJ.Naughton(P)
  • Average Course Rating (from 2 Students)

    4.0/5
    Overall Rating Breakdown
    • 2 Advice
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    • 4
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    • 3
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    • 2
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    • 1
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  • Course Difficulty Rating

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    • Medium 50%

    • Hard 50%

  • Top Course Tags

    Background Knowledge Expected

    Math-heavy

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    • Profile picture
    Jan 16, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Took this class because it's required, but it'd definitely recommend the professor since his background was in aerospace.

    Course highlights:

    Prof Chen's joke during lecture.

    Hours per week:

    6-8 hours

    Advice for students:

    Go to lectures and do the assignments. Don't wait until last minute to study.

    • Fall 2016
    • Joseph,Chen
    • Yes
    • Math-heavy Background Knowledge Expected Go to Office Hours
    • Profile picture
    May 04, 2016
    | No strong feelings either way.

    This class was tough.

    Course Overview:

    Most people take the class because it is a requirement. Other than that, unless you aren't focused on Mathematics, this class wouldn't be the best fit.

    Course highlights:

    I learned conceptualization. The course had me constantly thinking in the 3rd dimension. I had to adapt from the comfortable spot I was in learning with the 2nd dimension and try to visualize how everything would be with the added "z" component. The course is really heavy on being able to draw or imagine what the graph of a certain function looks like in 3-D

    Hours per week:

    9-11 hours

    Advice for students:

    Think in 3-D. You should learn earlier on how to think in the 3rd dimension because most of the later applications and concepts in the course require a solid grasp of imagining the model.

    • Spring 2016
    • ZhiqiangCai
    • Yes
    • Math-heavy Background Knowledge Expected

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