QMB 3200
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QMB 3200 QUANTITATIVE METHODS

  • School:
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  • Professor:
    {[ professorsList ]}
    ZANAKIS, DRAKATOS, Simpson, laby, Smith, glady, a., STYLIANOSDRAKATOS, stylanos, LarrySmith, STAFF, GladysE.Simpson, andreMaharaj, MahedMaddah, GladysSimpson, BillJohnson, Morales, Gladys Simpson, Subrahmanian , ALFRED CASTILLO, carrie sanchez, ESMAEIL POUYAN
  • Average Course Rating (from 5 Students)

    4.6/5
    Overall Rating Breakdown
    • 5 Advice
    • 5
      60%
    • 4
      40%
    • 3
      0%
    • 2
      0%
    • 1
      0%
  • Course Difficulty Rating

    • Easy 20%

    • Medium 60%

    • Hard 20%

  • Top Course Tags

    Many Small Assignments

    Background Knowledge Expected

    Math-heavy

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    • Profile picture
    Jul 28, 2017
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    I would recommend this class because she is a professor who is caring and understanding. She wants to apply everything to the real business world to help her students understand the content.

    Course highlights:

    This class is a relief to the other QMB courses. She is a young/funny professor that makes learning this material bearable.

    Hours per week:

    0-2 hours

    Advice for students:

    Go to class, it will benefit you greatly, and it's no big deal.

    • Summer 2017
    • carrie sanchez
    • Yes
    • Many Small Assignments Participation Counts Great Discussions
    • Profile picture
    Jun 15, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Great teacher, learned a lot of useful information. Always available to help.

    Course highlights:

    I learned a lot of different ways to use excel to calculate stats.

    Hours per week:

    3-5 hours

    Advice for students:

    Make sure you always do the homework.

    • Spring 2017
    • Subrahmanian
    • Yes
    • Math-heavy Many Small Assignments
    • Profile picture
    Apr 10, 2017
    | Would recommend.

    This class was tough.

    Course Overview:

    Very helpful and stats background recommended

    Course highlights:

    standard deviations, rejecting and accepting null hypothesis

    Hours per week:

    6-8 hours

    Advice for students:

    Must be dedicated and well managed with time

    • Spring 2017
    • ALFRED CASTILLO
    • Yes
    • Math-heavy Background Knowledge Expected Many Small Assignments

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