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Course Detail

Course Name Programming for Problem Solving
Course Code 25CSA631
Program M. C. A.
Campus Amritapuri, Kochi

Syllabus

Unit 1

Unit 1: Foundations of Programming

Introduction to logic building, Control structures: loops, conditionals, Functions and modular programming, Recursion basics, Input/output operations, Debugging and error handling.

Unit 2

Unit 2: Problem-Solving Techniques

Pattern recognition and problem decomposition, Mathematical problems (number theory, combinatorics), String manipulation techniques, Array-based problem solving, Hashing and frequency maps, Sliding window and two-pointer techniques.

Unit 3

Unit 3: Programming Challenges

Daily coding problems (easy to medium level), solving problems from platforms like HackerRank, LeetCode, CodeChef, Group coding sessions and peer reviews, Timed coding tests and contests.

Unit 4

Unit 4: Real-World Applications

Writing clean and efficient code, understanding constraints and edge cases, optimizing solutions. Mini-project: Build a simple CLI tool or game (e.g., quiz app, calculator, to-do list).

Text Books / References
  1. Let Us C” by Yashavant Kanetkar – A classic book for foundational programming concepts and exercises.
  2. Introduction to Algorithms” by Cormen, Leiserson, Rivest, and Stein – For deeper understanding of algorithmic techniques (selected chapters).
  3. Cracking the Coding Interview” by Gayle Laakmann McDowell – Excellent for preparing students for coding interviews and challenges

Objectives and Outcomes

Course Objective:

To develop students’ logical reasoning and programming skills through hands-on problem solving, preparing them for coding assessments and technical interviews.

Course Outcomes:

  1. CO1: Apply fundamental programming constructs such as loops, conditionals, functions, and recursion to solve basic computational problems.
  2. CO2: Analyze problems using decomposition techniques and implement solutions using arrays, strings, and hashing.
  3. CO3: Solve algorithmic challenges using techniques like sliding window, two-pointer, and frequency maps.
  4. CO4: Demonstrate proficiency in solving coding problems from online platforms under time constraints.
  5. CO5: Develop clean, efficient, and optimized code for real-world applications, considering constraints and edge cases.
  6. CO6: Design and implement a mini-project using command-line interface (CLI) tools that integrates learned programming concepts.

CO-PO Mapping

PO/PSO 

PO1 

PO2 

PO3 

PO4 

PO5 

PO6 

PO7 

PO8 

PO9 

PO10 

PO11 

PO12 

CO 

CO1 

3 

3 

2 

1 

– 

– 

1 

– 

– 

– 

– 

– 

CO2 

3 

3 

2 

1 

– 

– 

1 

– 

– 

– 

– 

– 

CO3 

2 

3 

3 

2 

– 

– 

2 

– 

– 

– 

– 

– 

CO4 

2 

3 

3 

2 

2 

– 

2 

– 

– 

– 

– 

– 

CO5 

1 

2 

2 

2 

2 

– 

1 

– 

– 

– 

– 

– 

CO6 

1 

2 

2 

3 

2 

– 

2 

– 

– 

– 

– 

– 

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