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  1. © 2025 National Institute of Technology Kurukshetra. All Rights Reserved.

    CSPC305 Advanced Data Structures and Algorithms

    Prerequisites:

    No prerequisites for this course

    Course Nature: PC
    Objectives:
  1. Develop an understanding of advanced data structures.
  2. Understand and apply various algorithmic design paradigms.
    3. Similar Courses:

    Course Coordinator

    Dr. Sushil Kumar Madan
    Dr. Sushil Kumar Madan

    Professor

    skmadan@nitkkr.ac.in

    9416292144

    Content

    ChariotHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorse

    Outcomes

    ChariotHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorse
    1. Compare, contrast, and apply key data structures such as trees, heaps, and string algorithms.
    2. Understand and apply algorithmic trade-offs: time vs. space, deterministic vs. randomized, and exact vs. approximate.
    3. Implement, empirically compare, and apply fundamental algorithms and data structures to real-world problems.
    ChariotHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorseHorse

    Reference Books

    1. Horowitz, E. & Sahni, S.: Fundamentals of Data Structures, Universities Press.

    2. Cormen, Leiserson, Rivest: Introduction to Algorithms, 3rd Edition, PHI.

    3. Horowitz, Ellis & Sahni: Fundamentals of Computer Algorithms, Universities Press.