统计
  • 文章总数:2 篇
  • 评论总数:1 条
  • 分类总数:1 个
  • 最后更新:2月21日
原创默认分类

IAL Computer Science 9618

本文阅读 5 分钟
首页 默认分类 正文
暂无AI摘要
摘要由智能技术生成

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 SeptemberMonthly test
End of OctoberMonthly test
End of NovemberMid-semester test
End of DecemberMid-semester test
End of JanuaryMock Exam
End of MarchMock Exam
End of AprilMock Exam
May - JuneCIE 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:

  1. Information representation
  2. Communication
  3. Hardware
  4. Processor fundamentals
  5. System software
  6. Security, privacy and data integrity
  7. Ethics and ownership
  8. Database

Programming Skills:

  1. Algorithm design and problem-solving
  2. Data type and structures
  3. Programming
  4. Software development

A2 Level

Theoretical:

  1. Data representation
  2. Communication and Internet technologies
  3. Hardware and virtual machine
  4. System software
  5. Security
  6. Artificial Intelligence (AI)

Practical:

  1. Computational thinking and problem-solving
  2. Further programming

Resources

We will use two books:

Main use
Publisher Hodder Education Main textbook
Author Watson, D and Williams, H
ISBN 9781510457591
Published Date 2019
Ebook https://pan.tiegg.com/s/ogwUn
Auxiliary use
Publisher Cambridge University Press Auxiliary textbook
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

原创文章,作者:perdu,如若转载,请注明出处:https://tiegg.com/archives/1/
IGCSE Computer Science 0478
下一篇 » 02-21
    请配置好页面缩略名选项

热门文章

标签TAG

没有任何标签