Course Information

Course Description

The Computing course provides learners with a comprehensive understanding of how computers work. Through engaging lessons, students explore the components of a computer and gain insights into their functionalities. The course focuses on developing coding skills using text-based programming languages, such as Python, and emphasizes the concept that computers execute tasks based on human instructions.

Course Objectives

The objectives of this course are to equip students with computational thinking skills, enhance their problem-solving abilities, and develop their programming knowledge. Students will learn to extract key information from instructions, break down complex problems, recognize patterns, and communicate instructions both verbally and visually. They will develop logical thinking skills to identify and resolve errors in various computing scenarios. Moreover, students will understand the role of computer science and its impact on local and global industries, as well as the significance of computers, machines, and data in their daily lives.

Course Outline

The curriculum is structured into five key areas to provide a comprehensive understanding of Computing:

  • 1. Computational Thinking: Developing problem-solving skills using algorithms, logic, and precision.
  • 2. Programming: Understanding programming language constructs and the contributions of Computer Scientists.
  • 3. Managing Data: Reflecting on data storage and analysis in a rapidly expanding digital landscape.
  • 4. Networks and Digital Communication: Exploring computer networks, communication, and data transmission protocols.
  • 5. Computer Systems: Understanding how computers process inputs, make decisions, and produce outputs based on precise instructions.

 

Student Acquisitions

By completing this course, students will:

  • Demonstrate proficiency in computational thinking and problem-solving.
  • Acquire programming skills and understand the role of Computer Scientists.
  • Analyse and manage data effectively in various contexts.
  • Understand computer networks and digital communication systems.
  • Comprehend the functioning of computer systems and their role in processing information.

 

Learning Methodologies

The course employs a range of engaging learning methodologies to enhance student's understanding and skills:

  • Hands-on programming activities using different constructs.
  • Investigation and creation of programs to reinforce concepts.
  • Offline activities focusing on decision-making and logical principles.
  • Introduction to algorithm presentation methods like flowcharts and pseudocode.
  • Exposure to real-world networked hardware and emerging technologies.
  • Continuous formative feedback to guide student improvement and reflection on performance.

 

At the end of the course, students will have developed a solid foundation in Computing, enabling them to pursue further studies and engage with the dynamic world of technology and innovation.