QMB 3200
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QMB 3200 QUANTITATIVE METHODS

  • School:
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  • Professor:
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    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
  • Average Course Rating (from 4 Students)

    4.8/5
    Overall Rating Breakdown
    • 4 Advice
    • 5
      75%
    • 4
      25%
    • 3
      0%
    • 2
      0%
    • 1
      0%
  • Course Difficulty Rating

    • Easy 25%

    • Medium 50%

    • Hard 25%

  • Top Course Tags

    Many Small Assignments

    Background Knowledge Expected

    Math-heavy

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    • 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
    • Profile picture
    Nov 26, 2016
    | Would highly recommend.

    Pretty easy, overall.

    Course Overview:

    She records her lectures and works very hard to make sure you understand the material. She responds to emails quickly and provides you materials to understand the subject matter better.

    Course highlights:

    My highlight is the top hat examples because its how i learn most of the material.

    Hours per week:

    3-5 hours

    Advice for students:

    Make sure you watch the videos!

    • Fall 2016
    • Gladys Simpson
    • Yes
    • Background Knowledge Expected Many Small Assignments Participation Counts

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