Introduction to Computing

Week 1-2: Introduction to Computing

  • Overview of the course and syllabus review
  • Introduction to computer science as a field
  • History and evolution of computers
  • Binary representation and data storage
  • Lab: Binary number conversion exercises

Week 3-4: Programming Fundamentals

  • Introduction to a programming language (e.g., Python)
  • Variables, data types, and operators
  • Control structures (if statements, loops)
  • Functions and modular programming
  • Lab: Writing and debugging simple Python programs

Week 5-6: Algorithms and Problem Solving

  • Understanding algorithms and their importance
  • Algorithm design and analysis
  • Problem-solving strategies and techniques
  • Recursion and iteration
  • Lab: Developing and analyzing algorithms for common problems

Week 7-8: Data Structures

  • Introduction to data structures
  • Arrays and lists
  • Stacks and queues
  • Introduction to trees and graphs
  • Lab: Implementing basic data structures in Python

Week 9-10: Software Development

  • The software development life cycle
  • Version control and collaboration using Git
  • Testing and debugging strategies
  • Code documentation and best practices
  • Lab: Collaborative software development using Git

Week 11-12: Final Projects and Presentations

  • Forming small groups for final projects
  • Brainstorming project ideas and proposals
  • Development and testing of final projects
  • Project presentations and peer evaluations
  • Lab: Final project development and presentation rehearsals

Week 13: Review and Preparation for Final Exam

  • Review of key course concepts and materials
  • Exam study guide distribution
  • Q&A session for students
  • Final exam tips and strategies
  • Lab: Review exercises and practice problems
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