Course Syllabus

Course Syllabus

Course Syllabus

par Abdelouahid Serarma,
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Course Title: Python Programming 2

Course Description

This course builds on the fundamental programming concepts introduced in Python 1. It focuses on developing students’ ability to design structured programs using conditional statements, loops, functions, and Python libraries. Emphasis is placed on problem-solving, algorithmic thinking, and practical programming applications.

Course Objectives

By the end of this course, students will be able to:

  • Apply conditional structures to control program execution.

  • Use loops effectively to automate repetitive tasks.

  • Design and implement modular programs using functions.

  • Utilize Python libraries to extend program functionality.

  • Develop logical thinking and problem-solving skills.

  • Debug and test programs efficiently.

Course Topics and Weekly Plan

Week 1: Review of Python Basics

  • Variables and data types

  • Input and output

  • Basic operators

Week 2: Conditional Statements

  • if statement

  • if–else structure

  • if–elif–else ladder

  • Logical and comparison operators

Week 3: Nested Conditions and Applications

  • Nested decision structures

  • Practical problem-solving exercises

Week 4: Introduction to Loops

  • for loop

  • range() function

  • Iteration over sequences

Week 5: While Loop

  • while loop structure

  • Infinite loops and control strategies

Week 6: Loop Control Statements

  • break

  • continue

  • pass

Week 7: Nested Loops and Patterns

Week 8: Midterm Assessment / Practical Test

Week 9: Functions – Fundamentals

  • Defining functions

  • Parameters and arguments

  • Return values

Week 10: Advanced Functions

  • Default arguments

  • Recursive functions (introduction)

  • Variable scope (local vs global)

Week 11: Introduction to Python Libraries

  • Importing modules

  • Built-in libraries (math, random)

Week 12: External Libraries and pip

  • Installing packages

  • Simple applications

Week 13: Mini Projects

  • Combining conditions, loops, and functions

  • Problem-solving tasks

Week 14: Final Review and Project Submission

Teaching Methods

  • Lectures and demonstrations

  • Practical lab sessions

  • Guided exercises

  • Mini projects

Assessment Methods

  • Continuous assessment (assignments, quizzes)

  • Midterm practical test

  • Final project or exam

Learning Outcomes

Students will be able to:

  • Write structured Python programs.

  • Analyze and solve computational problems.

  • Develop reusable and efficient code.

  • Apply programming concepts in real-world contexts.