Computer Science

ICS4U builds on prior programming experience and introduces advanced computer science concepts. Students develop proficiency in object-oriented programming, data structures, and software development methodologies.

• They explore the social
• Ethical impacts of technology
• Refine problem-solving skills
• Work on complex coding challenges.

This course is excellent preparation for postsecondary studies in computer science, engineering, or technology-related fields

Unit 1: Advanced Programming Concepts
Students expand their programming skills using advanced features of modern languages.
Lessons include:

• Integer Division and Type Conversion
• Data Types and Comparison Logic
• Limits of Data Representation
• Compound Data Types and File I/O
• Search Algorithms and Efficiency
• Code Reusability and Enhancement

Unit 2: Software Development Life Cycle
This unit focuses on the software engineering process and collaborative project design.
Lessons include:

• Writing a Software Project Report
• Software Project Planning and Scheduling
• Team-Based Project Development
• Version Control Tools and Best Practices
• Project Review and Refinement

Unit 3: Modular Program Design
Students learn to break large programs into structured, reusable modules.
Lessons include:

• Modularization and Code Decomposition
• Algorithm Design and Analysis
• Measuring Efficiency of Search and Sort Algorithms
• Collaborative Debugging and Optimization

Unit 4: Ethics, Applications, and Careers in Computing
This unit explores computer science’s broader role in society.
Lessons include:

• Ethical Case Studies in Technology
• Green Computing and Environmental Impacts
• Emerging Technologies (AI, IoT, Cybersecurity)
• Careers in Software and Tech Industries
• Final Project Planning

Unit 5: Final Evaluation
Students apply cumulative knowledge in independent work and summative testing.
Lessons include:

• Final Programming Project
• Final Exam

• 70% of the final grade is based on coursework, including:
  • Advanced coding labs and algorithm design tasks
  • Modular projects and peer-reviewed code
  • Software development documentation and analysis
  • Weekly coding challenges and quizzes
• 30% of the final grade is based on final evaluations:
  • 10% Final programming project
  • 20% Final written and/or practical exam

All assessments follow Ontario curriculum standards and are designed to develop computational thinking, collaborative development skills, and real-world coding proficiency.