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CS 112 Lab For Lecture 001

  • School:
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  • Professor:
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    Staff, HEISHMAN, BrianOlson, CodyG.Narber, DanielP.Fleck, AnveshiCharuvaka, GautamSingh, KathyMcGill, MarkH.Snyder, KingaL.Dobolyi, YutaoZhong
  • Average Course Rating (from 7 Students)

    4.0/5
    Overall Rating Breakdown
    • 7 Advice
    • 5
      57%
    • 4
      29%
    • 3
      0%
    • 2
      0%
    • 1
      14%
  • Course Difficulty Rating

    • Easy 14%

    • Medium 86%

    • Hard 0%

  • Top Course Tags

    Go to Office Hours

    Great Intro to the Subject

    Many Small Assignments

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    • Profile picture
    Sep 11, 2017
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Kinga is extremely nice and welcoming! its a self-paced course so you take it as you go!

    Course highlights:

    the best thing was that I was able to do it at my own pace.

    Hours per week:

    6-8 hours

    Advice for students:

    google is your best friend....and CS majors

    • Fall 2017
    • KingaL.Dobolyi
    • Yes
    • Great Intro to the Subject Many Small Assignments Group Projects
    • Profile picture
    Aug 26, 2017
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    The professor was very good at making you understand the material.

    Course highlights:

    Highlights of the course was when I learned the basics of coding.

    Hours per week:

    3-5 hours

    Advice for students:

    If you need help, always go to the office hours. Also get help from your peers.

    • Summer 2017
    • YutaoZhong
    • Yes
    • Go to Office Hours Always Do the Reading A Few Big Assignments
    • Profile picture
    Jul 17, 2017
    | Would not recommend.

    Not too easy. Not too difficult.

    Course Overview:

    She taught very well with PowerPoint notes and know her subject well in-depth.

    Course highlights:

    Learning different kinds of Programming like Java, Python, and C++.

    Hours per week:

    3-5 hours

    Advice for students:

    Read Learning Python before coming to the class because it will help you understanding the course easily.

    • Fall 2017
    • YutaoZhong
    • Yes
    • Background Knowledge Expected Go to Office Hours Many Small Assignments

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