Go Back
News
IGCSE
META Subject | IGCSE Computer Science
IGCSE
28 Nov, 2024
01 : 34
Introduction
The IGCSE Computer Science (0478) curriculum provides students with a solid understanding of computational thinking, problem-solving, and programming. It covers fundamental concepts such as algorithms, data representation, computer systems, and networks.
Students learn to develop computer-based solutions using programming languages like Python, enhancing both their practical and theoretical knowledge. The course emphasizes critical thinking and analytical skills, preparing students for advanced studies and careers in computer science, software development, and IT.
Career and Interest Pathways
This course opens doors to careers in software development, cybersecurity, data analysis, and IT support. Students can pursue roles such as:
- Software Engineer
- Systems Analyst
- Web Developer
- Network Administrator
The subject also provides a foundation for further education in computer science, information technology, and related fields. Advanced studies can lead to specialized careers in artificial intelligence, machine learning, and game development. This versatile qualification equips students with essential skills for the rapidly evolving tech industry.
Assessment
Semester grades consist of homework assessments and key evaluations as follows:
| Time | Assessment Details | Weight |
|---|---|---|
| September | Initial Diagnostic Test | 5% |
| October | Programming Assignment 1 | 10% |
| November | Unit Test 1 (Theory: Data Representation, Algorithms) | 10% |
| December | Semester 1 Exam (Theory and Practical) | 20% |
| January | Mock Exam | 20% |
| February | Unit Test 2 (Theory: Computer Systems, Networking) | 10% |
| March | Practical Exam Practice | 5% |
| April | Final Project Submission | 10% |
| May | Final Exam (External Assessment) | -- |
Resources
The following resources and technologies are essential for this course:
- Textbook: Cambridge IGCSE Computer Science (Coursebook) by Sarah Lawrey and Donald Scott
- Laptop with programming environments for Python, Arduino IDE, and Java
Advanced Support
- Underwater Robotics Programme: Design and program underwater robots (ROVs) for data collection and analysis, with options for AI integration.
- Work-Integrated Learning (WIL): Internships in software design companies or research institutions, supported by EdFutures.
- Medical Technology: Explore applications of electrical engineering and programming in medical imaging and testing equipment.
- Programming Competitions: Participate in external competitions with support from EdFutures.
