- Theory of Computation
- Networking
- Python Programming
- Java Programming
- Data Structures and Algorithms
- What is Problem Solving
- Data Analytics
- Foundation of Data Science
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Introduction to Problem Solving
Content
- Introduction
- 1.1. What is Problem Solving?
- 1.2. Problem-Solving Steps
- Algorithms
- 2.1. Definition of an Algorithm
- 2.2. Characteristics of Algorithms
- 2.3. Examples of Algorithms
- 2.4. Advantages and Limitations of Algorithms
- Flowcharts
- 3.1. Definition of a Flowchart
- 3.2. Flowchart Notations
- 3.3. Examples of Flowcharts
- 3.4. Advantages and Limitations of Flowcharts
- 3.5. Comparison with Algorithms
- Pseudo-code
- 4.1. Definition of Pseudo-code
- 4.2. Notations Used in Pseudo-code
- 4.3. Examples of Pseudo-code
- 4.4. Advantages and Limitations of Pseudo-code
- Introduction to Programming
- 5.1 Programming as a tool for problem solving
- 5.2 The role of programming languages
- 5.3 The programming process:
- Programming Languages as Tools
- 6.1. Programming Paradigms
- 6.2. Types of Programming Languages
- 6.3. Why Python?
- Converting Pseudo-code to Programs
- 7.1. Step-by-step guide to converting pseudo-code into Python code
- 7.2. Examples of converting pseudo-code to Python.
- 7.3. Common mistakes and how to avoid them.
