Problem Solving

At the end of this course, students should be able to: 1. explain problem-solving processes; 2. demonstrate problem-solving skills; 3. describe the concept of algorithms development and properties of algorithms; 4. discuss the solution techniques of solving the problem; 5. solve computer problems using algorithms, flowcharts, pseudocode, etc; and 6. solve problems using a programming language, e.g., C, PYTHON, etc.

Core concepts of computing. Identification of problems. Types of problems (routine problems and non-routine problems). Problem-solving. Methods of solving computing problems. Algorithms and heuristics. Solvable and unsolvable problems. Solution techniques of solving problems; abstraction; analogy; brainstorming; trial and error; hypothesis testing; reduction; literal thinking; means-end analysis. Method of the focal object; morphological analysis; research; root cause analysis; proof; divide and conquer. General Problem-solving process. Solution formulation and design; flowchart; pseudocode; decision table; decision tree. programming in any language. Lab Work:Use of simple tools for algorithms and flowcharts; writing pseudocode; writing assignment statements, input-output statements and condition statements; demonstrating simple programs using any programming language (Visual Basic, Python, C) 200 Level