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CSCI 570 Analysis of Algorithms

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  • Professor:
    {[ professorsList ]}
    Shamsian, sh, staff, SHAHRIARSHAMSIAN, AARON, AaronCote, Shindler, Schindler, LiangHuang, PROF.SHAWNSHAMSIAN, MarcSchiler, SHAHRAM , ChristianGrose, Crowley
  • Average Course Rating (from 14 Students)

    4.5/5
    Overall Rating Breakdown
    • 14 Advice
    • 5
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    • 4
      50%
    • 3
      0%
    • 2
      0%
    • 1
      0%
  • Course Difficulty Rating

    • Easy 7%

    • Medium 57%

    • Hard 36%

  • Top Course Tags

    Always Do the Reading

    Competitive Classmates

    Great Discussions

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    • Profile picture
    Aug 30, 2017
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    Professor can claim a complicated problem clearly, and he is really patient to students

    Course highlights:

    To attend discussion is necessary and you must review the content of the class each week.

    Hours per week:

    6-8 hours

    Advice for students:

    Read the book and watch the record again and again then you will understand the algorithms better.

    • Summer 2017
    • Shamsian
    • Yes
    • Background Knowledge Expected Many Small Assignments Great Discussions
    • Profile picture
    Jul 05, 2017
    | Would highly recommend.

    This class was tough.

    Course Overview:

    The professor is very nice. He has immense knowledge of the industry and he uses it while teaching the topics. The course structure is also very good and gives you a very good understanding of the techniques used in the industry.

    Course highlights:

    How to understand the complexity of problems in the industry. What is the expectation set when solving problems related to computer science.

    Hours per week:

    12+ hours

    Advice for students:

    Practice the problems from multiple textbooks, question papers. Understand the methods of using the main technique for each problem solving method taught.

    • Spring 2017
    • Shamsian
    • Yes
    • Always Do the Reading Many Small Assignments Final Paper
    • Profile picture
    Jun 16, 2017
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    The knowledge of Algorithms is helpful for any and every field.

    Course highlights:

    Learnt various algorithmic techniques including divide and conquer, dynamic programming, greedy approach

    Hours per week:

    3-5 hours

    Advice for students:

    You need to practice problem solving to be able to solve the questions that come up in the exam

    • Spring 2017
    • PROF.SHAWNSHAMSIAN
    • Yes
    • Always Do the Reading

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