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ECE 2574 INTR DATA STRUCT & SE

  • Average Course Rating (from 2 Students)

    4.5/5
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  • Top Course Tags

    Go to Office Hours

    Requires Lots of Research

    A Few Big Assignments

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

    Not too easy. Not too difficult.

    Course Overview:

    The class gives an outstanding base for object oriented programming. The class is great on learning queues, stacks, liked list and trees. Not only it gives to algorithm design concepts but also provides knowledge on time complexity.

    Course highlights:

    The class consists of pointers, stacks, queues, linked list, trees, sorting algorithms and efficiency. At the beginning of the course, students learns to use pointers and inheritance concepts. When the class progresses, students works on linked list, queues and tree sorting. Developing object oriented concepts and learning to minimize the time complexity of the program is beauty of this course.

    Hours per week:

    12+ hours

    Advice for students:

    If you want to success on the course, make sure practice different coding examples from the books. You want to get in touch with TA for homework problems. Starting early and asking questions to the professor is key to get job done on time. Group study is good but you don't want to share any code to other students. You don't want to be in honor court.

    • Fall 2013
    • David McPherson
    • Yes
    • Go to Office Hours A Few Big Assignments Requires Lots of Research
    • Profile picture
    Aug 02, 2016
    | Would recommend.

    This class was tough.

    Course Overview:

    This class is a challenging course for many students including myself. I love coding and this class continued to push everyone to think and work harder.

    Course highlights:

    The structures of code is the highlight of the course. The many different ways you can implement code and come to the same conclusion is the base of the course. The differences in the structures depend on the time to implement, storage used, length of code, and much more.

    Hours per week:

    12+ hours

    Advice for students:

    Make sure you get help from the professor and the teaching assistants as much as possible, especially when you are unsure with something.

    • Spring 2016
    • David McPherson
    • Yes
    • Background Knowledge Expected Go to Office Hours Requires Lots of Research

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