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Thanesar, Haryana, India 136119
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  1. © 2025 National Institute of Technology Kurukshetra. All Rights Reserved.

    CSPE212 Competitive Programming and Efficient Coding For Problem Solving

    Prerequisites:

    No prerequisites for this course

    Course Nature: PE
    Objectives:
  1. Identifying multiple alternate coding solutions of problems discussed in programming tests and Competitive Problems (CP) and developing understanding of their efficiency issues.
  2. Designing and developing brute-force solutions followed by time/space efficient solutions for CP problems.
  3. Learning commonly used problem solving approaches and applying them for coding the solutions for new problems.
    4. Similar Courses:

    Course Coordinator

    Dr. Sushil Kumar Madan
    Dr. Sushil Kumar Madan

    Professor

    skmadan@nitkkr.ac.in

    9416292144

    Content

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    Outcomes

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    1. Understanding the issues of online platforms and Competitive Programming (CP) and developing brute force coding for commonly asked CP problems.
    2. Analyzing the space and time complexity of brute force solutions and designing efficient solutions.
    3. Evaluating the applicability of suitable algorithmic approaches to solve relevant CP problems.
    4. Creating efficient solutions of CP problems using the learnt algorithmic approaches.
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    Reference Books

    1. Karumanchi: Data Structures and Algorithms Made Easy, CareerMonk Publications, 2017.

    2. G L McDowell: Cracking the Coding Interviews, CareerCup Publications, 2016.

    3. geekforgeeks.org

    4. codechef.com, spoj.com, codeforces.com, interviewbit.com