Computer Architecture Course provides a comprehensive introduction to the fundamental concepts behind how computer systems are designed, organised and operated. This course is designed to help learners understand the relationship between hardware components, software instructions and the internal processes that allow computers to execute tasks efficiently.

Beginning with essential concepts, the course introduces computer architecture fundamentals, including hardware, software, number systems and binary-decimal conversions. Learners develop a strong foundation in understanding how information is represented and processed inside a computer system. The training then moves into computer organisation, exploring CPU operations, registers, arithmetic logic units (ALU), memory configurations and system buses.

A major focus of this course is understanding how processors execute instructions. Learners are introduced to Instruction Set Architecture (ISA), including the MIPS R3000 architecture, instruction formats and practical examples. Through guided exercises and programming examples, students gain insight into load/store operations, R-type, I-type and J-type instructions, along with methods for analysing and writing basic MIPS programs.

The course also explores computer pipeline concepts and performance improvement techniques. Learners discover how pipelining works, how processor speed can be enhanced and how challenges such as data hazards affect execution. Practical examples and problem-solving exercises help build confidence in analysing processor performance and architectural decisions.

In addition, the course covers memory systems and peripheral devices, including RAM, DRAM, ROM, display systems, keyboard and mouse interfaces. These topics provide a broader understanding of how different computer components communicate and contribute to the overall functionality of modern computing devices.

By completing this training, learners can develop a deeper technical understanding of computer systems, which can support further study in computer science, software engineering, embedded systems and related technology fields. The knowledge gained can also improve problem-solving abilities when working with low-level programming, hardware design and system optimisation.