Course Description:
The Programming Logic and Problem Solving course is designed to equip students with essential skills in logical thinking and problem-solving within the context of programming. This course is a critical component of any introductory programming program as it lays the foundation for effective coding practices and the development of efficient algorithms.
Introduction to Problem-Solving:
This module will cover the following topics:
Emphasizing the importance of breaking down complex problems
Analyzing problems and identifying requirements
Defining clear objectives for creating effective solutions
Align thinking in problems with algorithms
Importance of deep thinking in problems
Algorithm Design and Development
This module will cover the following topics:
Exploring problem-solving strategies
Exploring problem-solving techniques
Stepwise refinement, top-down and bottom-up approaches
Using pseudocode to design algorithms
Prepared for algorithms development
Efficient Algorithm Development:
This module will cover the following topics:
Emphasizing the importance of algorithm analysis and optimization
Developing algorithms that are efficient and scalable
Reinforce the concepts of having an algorithm for any problem
Follow best practices when developing an algorithm
Prepare for future courses in algorithms
Hands-On Exercises and Assignments:
This module will cover the following topics:
Practical programming challenges
Reinforce concepts
Applying problem-solving skills to real-world scenarios
Gaining a deep understanding of course material
Ensure students have the skills to solve problems
Course Achievements
By the end of the Programming Logic and Problem Solving course, students will have:
Developed a foundation in logical thinking and problem analysis
Acquired skills in algorithm design and development
Gained proficiency in implementing efficient solutions using Python
Applied problem-solving skills to various programming challenges
