SRN: 01FE23BCI108
DIV: G div
ROLL NO: 211
SKILLS: C, C++ ,Python ,DSA concepts
Course Introduction:
1. Mastering Algorithm Design: Learn to simplify complex problems into manageable, logical steps through algorithmic thinking.
2. Blueprint for Programming: Understand how algorithms form the backbone of well-structured and efficient solutions.
3. Enhancing Problem-Solving Efficiency: Develop skills to design algorithms optimized for time and space performance, giving you a competitive edge.
4. Practical Learning Approach: Gain hands-on experience in writing, implementing, and optimizing algorithms using appropriate data structures.
Course Outcomes (COs):
1. Implementation of Data Structures:
Recognize the importance of data structures in solving computational problems.
Apply arrays, linked lists, or other structures to implement efficient solutions.
2. Critical Analysis of Data Structures:
Explore the characteristics, operations, applications, advantages, and limitations of diverse data structures.
Evaluate their impact on algorithm performance.
3. Comparative Study of Algorithms:
Examine and compare sorting, searching, and graph-based algorithms.
Assess algorithm performance across various scenarios for informed decision-making.
4. Complexity Evaluation:
Analyze the time and space requirements of algorithms and data structures under different constraints.
5. Problem-Solving Limitations:
Investigate the challenges and boundaries of algorithms in solving specific problem types.
6. Real-World Problem Design:
Devise solutions to address real-world challenges using algorithmic techniques.
Enhance existing solutions by integrating optimal algorithms and data structures.
These points convey the same intent but with a more formal and engaging tone. Let me know if you'd like any further customization.