Algorithmics

       This course introduces algorithmic thinking as a fundamental skill for programmers. It emphasizes reasoning, structure, and clarity before writing any code, with a smooth transition toward Python implementation.

Learning Objectives

• Learn how to analyze and decompose problems
• Design algorithms using clear logic
• Write pseudocode and flowcharts
• Translate algorithms into Python programs

📘 Course Syllabus

1. Introduction to Algorithmics

• What is an algorithm?
• Characteristics of a good algorithm
• Algorithm vs program

2. Variables and Basic Operations

• Memory and variables
• Arithmetic and logical operations

3. Conditional Algorithms

• Decision-making logic
• Nested conditions
• Common algorithmic patterns

4. Iterative Algorithms

• Repetition and loops
• Counting and accumulation algorithms

5. Algorithm Representation

• Pseudocode
• Flowcharts
• Step-by-step execution (dry run)

6. From Algorithm to Python

• Translating logic into Python code
• Testing and validating algorithms

🛠 Tools & Technologies

• Pseudocode
• Flowcharts
• Python (introductory level)

🔗 Course materials:
Lecture notes, exercises, examples
👉 Link available upon request