
Cambridge International AS & A Level Computer Science 9618
Why Computer Science? | 为什么选择计算机科学?
Computer Science is more than just programming – it includes: 计算机科学不仅仅是编程 – 它包含:
- Problem-solving and analytical thinking | 问题解决能力和分析性思维
- Innovation and creativity | 创新和创造力
- Understanding the digital world that shapes our future | 理解塑造我们未来的数字世界
- Developing practical skills highly valued by employers | 发展备受雇主重视的实用技能
- Building a foundation for various career paths | 为各种职业发展路径打下基础
Career Pathways | 职业发展路径
Our Computer Science students often pursue careers in: 我们的计算机科学学生通常会在以下领域发展:
1. Technology Sector | 技术行业
- Software Developer/Engineer | 软件开发工程师
- Mobile App Developer | 移动应用开发者
- Web Developer | 网页开发者
- Systems Analyst | 系统分析师
- Database Administrator | 数据库管理员
- Cloud Computing Specialist | 云计算专家
- AI/Machine Learning Engineer | 人工智能/机器学习工程师
2. Business and Finance | 商业和金融
- Business Systems Analyst | 商业系统分析师
- Technology Consultant | 技术顾问
- FinTech Developer | 金融科技开发者
- Data Analyst | 数据分析师
- Project Manager | 项目经理
- Digital Transformation Specialist | 数字化转型专家
3. Creative Industries | 创意产业
- Game Developer | 游戏开发者
- UX/UI Designer | 用户体验/界面设计师
- Digital Content Creator | 数字内容创作者
- Animation Programmer | 动画程序员
- Mixed Reality Developer | 混合现实开发者
4. Scientific Research | 科学研究
- Research Scientist | 研究员
- Bioinformatics Specialist | 生物信息学专家
- Data Scientist | 数据科学家
- Computational Researcher | 计算研究员
- Robotics Engineer | 机器人工程师
5. Cybersecurity | 网络安全
- Security Analyst | 安全分析师
- Ethical Hacker | 道德黑客
- Digital Forensics Expert | 数字取证专家
- Security Consultant | 安全顾问
- Network Security Engineer | 网络安全工程师
Complementary Subjects | 配套学科
Computer Science pairs excellently with: 计算机科学与以下学科完美配合:
1. Mathematics | 数学
- Why? Mathematical concepts are fundamental to algorithms, problem-solving, and data structures
- Career boost: AI, Machine Learning, Data Science, Cryptography
- 原因:数学概念是算法、问题解决和数据结构的基础
- 职业提升:人工智能、机器学习、数据科学、密码学
2. Physics | 物理
- Why? Understanding hardware, electronics, and physical systems
- Career boost: Robotics, Hardware Engineering, IoT Development
- 原因:理解硬件、电子学和物理系统
- 职业提升:机器人技术、硬件工程、物联网开发
3. Business Studies | 商业研究
- Why? Understanding commercial applications of technology
- Career boost: Tech Entrepreneurship, IT Consulting, Project Management
- 原因:理解技术的商业应用
- 职业提升:科技创业、IT咨询、项目管理
4. Art/Design | 艺术/设计
- Why? Combining creativity with technical skills
- Career boost: Game Development, UI/UX Design, Digital Media
- 原因:将创造力与技术技能相结合
- 职业提升:游戏开发、UI/UX设计、数字媒体
5. Economics | 经济学
- Why? Understanding market forces and technological impact
- Career boost: FinTech, E-commerce, Digital Economics
- 原因:理解市场力量和技术影响
- 职业提升:金融科技、电子商务、数字经济
University Pathways | 大学发展路径
Computer Science A-Level is highly regarded by universities for courses in: 计算机科学 A-Level 在以下大学课程中备受推崇:
- Computer Science | 计算机科学
- Software Engineering | 软件工程
- Information Technology | 信息技术
- Artificial Intelligence | 人工智能
- Cybersecurity | 网络安全
- Games Development | 游戏开发
- Data Science | 数据科学
- Digital Media | 数字媒体
- Business Information Systems | 商业信息系统
- Joint honors combining Computing with other disciplines | 计算机与其他学科的联合荣誉学位
Skills Development | 技能发展
Your child will develop: 您的孩子将培养:
- Critical thinking and problem-solving | 批判性思维和问题解决能力
- Coding and software development | 编程和软件开发
- Project management | 项目管理
- Team collaboration | 团队协作
- Technical communication | 技术交流
- Innovation and creativity | 创新和创造力
- Analytical skills | 分析能力
- Research capabilities | 研究能力
Industry Demand | 行业需求
- Computing jobs are among the fastest-growing globally | 计算机相关工作是全球增长最快的领域之一
- Higher than average starting salaries | 高于平均水平的起薪
- Strong job security | 良好的工作保障
- Opportunities for remote work | 远程工作机会
- Continuous learning and growth | 持续学习和成长
- Global career opportunities | 全球职业发展机会
Subject description
Cambridge International AS & A Level Computer Science 9618 is a comprehensive course that equips students with theoretical knowledge and practical skills in computer science. It covers key areas such as programming (Python/Java), data structures, computer systems, and architecture. This course is ideal for students who have a keen interest in computing and wish to pursue further studies or a career in this field. It would also suit those with strong logical reasoning, problem-solving abilities, and an aptitude for mathematics.
Grading System
Subjects are graded A* through to E. Grade A* is awarded for the highest level of achievement, grade E for the lowest.
Scheme of Assessment
Your semester grade will consist of homework assessments and key assessments. There will be homework for each lesson.
Key assessments timetable
Time | Content |
---|---|
End of September | Monthly test |
End of October | Monthly test |
End of November | Mid-semester test |
End of December | Mid-semester test |
End of January | Mock Exam |
End of March | Mock Exam |
End of April | Mock Exam |
May - June | CIE Exam |
CIE Exam
Candidates need to follow a staged assessment route to the Advanced Level by taking the Advanced Subsidiary (AS) qualification in one examination session and complete the final Cambridge International A Level at a subsequent session within 13 months period.
Advanced Subsidiary Level (AS Level)
Paper | Type | Duration | Marks | Weight |
---|---|---|---|---|
Paper 1 | Theory Fundamentals | 1 hr 30 mins | 75 | 25% |
Paper 2 | Fundamental Problem-solving & Programming Skills | 2 hrs | 75 | 25% |
Advanced Level (A Level)
In addition to Papers 1 and 2.
Paper | Type | Duration | Marks | Weight |
---|---|---|---|---|
Paper 3 | Advanced Theory | 1 hr 30 mins | 75 | 25% |
Paper 4 | Practical | 2 hrs 30 mins | 75 | 25% |
All 4 papers will take place under controlled examination conditions:
- Paper 1, 2 and 3 are written papers. Candidates answer all questions.
- Paper 4 is a practical paper. Candidates will be required to use either Java(console mode), Visual Basic* (console mode) or Python (console mode) programming languages answer all questions on a computer without internet or email facility.
Curriculum Content
The curriculum content is set out in twenty interrelated sections. These sections should be read as an integrated whole and not as a progression. The sections are as follows:
AS Level
Theoretical:
- Information representation
- Communication
- Hardware
- Processor fundamentals
- System software
- Security, privacy and data integrity
- Ethics and ownership
- Database
Programming Skills:
- Algorithm design and problem-solving
- Data type and structures
- Programming
- Software development
A2 Level
Theoretical:
- Data representation
- Communication and Internet technologies
- Hardware and virtual machine
- System software
- Security
- Artificial Intelligence (AI)
Practical:
- Computational thinking and problem-solving
- Further programming
Resources
We will use two books:
Main use | ||
Publisher | Hodder Education |
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Author | Watson, D and Williams, H | |
ISBN | 9781510457591 | |
Published Date | 2019 | |
Ebook | https://pan.tiegg.com/s/ogwUn |
Auxiliary use | ||
Publisher | Cambridge University Press |
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Author | Langfield, S and Duddell, D | |
ISBN | 9781108733755 | |
Published Date | 2019 | |
Ebook | https://pan.tiegg.com/s/VpNcZ |
You can view the course notes through this website: https://doc.tiegg.com/
A-Level Computer Science (9618)
Career Pathways and Subject Combinations
职业发展路径与学科组合
Welcome, Parents! | 家长们,欢迎!
Today, I'll be sharing insights about the exciting opportunities that A-Level Computer Science opens up for your children.
今天,我将为大家分享 A-Level 计算机科学课程为您的孩子带来的激动人心的机遇。
Why Computer Science? | 为什么选择计算机科学?
Computer Science is more than programming:
- Problem-solving and analytical thinking
- Innovation and creativity
- Understanding the digital world
- Developing practical skills
计算机科学不仅仅是编程:
- 问题解决能力和分析性思维
- 创新和创造力
- 理解数字世界
- 发展实用技能
Career Pathways | 职业发展路径
Technology Sector | 技术行业
- • Software Engineer | 软件工程师
- • Web Developer | 网页开发者
- • AI Engineer | 人工智能工程师
Business & Finance | 商业和金融
- • Business Analyst | 商业分析师
- • FinTech Developer | 金融科技开发者
- • Project Manager | 项目经理
Creative Industries | 创意产业
- • Game Developer | 游戏开发者
- • UX Designer | 用户体验设计师
- • Digital Artist | 数字艺术家
Complementary Subjects | 配套学科
Mathematics | 数学
Essential for algorithms and data structures
算法和数据结构的基础
Physics | 物理
Understanding hardware and electronics
理解硬件和电子学
University Pathways | 大学发展路径
Popular Courses:
- • Computer Science
- • Software Engineering
- • Artificial Intelligence
- • Data Science
热门课程:
- • 计算机科学
- • 软件工程
- • 人工智能
- • 数据科学
Skills Development | 技能发展
- • Critical thinking | 批判性思维
- • Problem solving | 问题解决能力
- • Team collaboration | 团队协作
- • Project management | 项目管理
- • Technical communication | 技术交流
- • Innovation | 创新能力
Contact Us | 联系我们
For more information, please contact the Computer Science Department
更多信息,请联系计算机科学部门