Computer Architecture & OS
Run by School of Computer Science and Electronic Engineering
20 Credits or 10 ECTS Credits
Organiser: Dr Saad Mansoor
Overall aims and purpose
This module aims to:
- introduce students to the structure and components of a computer system.
- instruct students in peripherial devices, including input and output and data storage.
- present the key components and responsibilities of an operating system.
- introduce concurrency and resource sharing.
Indicative content includes:
- CPUs, the von Neumann and Harvard mdoels.
- Binary mathematics and operations.
- Digital logic, AND, OR, NAND, NOR, NOT, and XOR.
- The fetch/execute cycle.
- Processes, concurrency
- Scheduling and resource sharing.
Equivalent to the range 70%+. Assemble critically evaluated, relevent areas of knowledge and theory to constuct professional-level solutions to tasks and questions presented. Is able to cross-link themes and aspects to draw considered conclusions. Presents outputs in a cohesive, accurate, and efficient manner.
Equivalent to 40%. Uses key areas of theory or knowledge to meet the Learning Outcomes of the module. Is able to formulate an appropriate solution to accurately solve tasks and questions. Can identify individual aspects, but lacks an awareness of links between them and the wider contexts. Outputs can be understood, but lack structure and/or coherence.
Equivalent to the range 60%-69%. Is able to analyse a task or problem to decide which aspects of theory and knowledge to apply. Solutions are of a workable quality, demonstrating understanding of underlying principles. Major themes can be linked appropriately but may not be able to extend this to individual aspects. Outputs are readily understood, with an appropriate structure but may lack sophistication.
Explain the key components of a general computer system.
Apply the binary, octal, and hexadecimal number systems and apply conversions between them.
Utilise the Fetch/Execute cycle to explain how computers execute operations.
Identify the key aspects of files and file systems, and how and operating system organises them.
Solve process scheduling and other resource sharing operations common to operating systems.
Understand the fundamental digital logic operations and extend them to create higher order operations.
|CLASS TEST||Class Test 1||
Class Test focusing on theoretical aspects.
|CLASS TEST||Class Test 2||
Class Test focusing on theoretical aspects.
Practical exercise using Raspberry Pis to write and execute assembly language programs.
Teaching and Learning Strategy
Traditional Lecture (2 x 1hrs x 12 weeks)
Laboratory exercises. (2 hrs x 12 weeks)
Private study including completing individual assessments.
Practical seminar (1 hr x 12 weeks)
- Numeracy - Proficiency in using numbers at appropriate levels of accuracy
- Computer Literacy - Proficiency in using a varied range of computer software
- Exploring - Able to investigate, research and consider alternatives
- Information retrieval - Able to access different and multiple sources of information
Subject specific skills
- Apply knowledge and understanding of the specialist cognate area of computer systems for controlling complex systems;
- Assess and choose optimal methods and approaches for the specification, design, implementation and evaluation of engineering solutions, especially ones that include embedded microprocessors
- Solve problems logically and systematically;
- Demonstrate familiarity with relevant subject specific and general computer software packages.
- Knowledge and understanding of facts, concepts, principles & theories
- Problem solving strategies
- Deploy theory in design, implementation and evaluation of systems
- Specify, design or construct computer-based systems
- Deploy tools effectively
- Development of general transferable skills
- Knowledge of systems architecture
- System Design
- Knowledge and/or understanding of appropriate scientific and engineering principles
- Specify, deploy, verify and maintain computer-based systems
- Principles of appropriate supporting engineering and scientific disciplines
Courses including this module
Compulsory in courses:
- H612: BEng Computer Systs Eng (3 yrs) year 1 (BENG/CSE)
- H61B: BEng Computer Sys Engineering (4yr with Incorp Foundation) year 1 (BENG/CSE1)
- H610: BENG Electronic Engineering (3 yrs) year 1 (BENG/ELE)
- H62B: BEng Electronic Engineering (4yr with Incorp Foundation) year 1 (BENG/ELE1)
- H621: BEng Electronic Engineering with International Experience year 1 (BENG/ELEIE)
- G400: BSC Computer Science year 1 (BSC/CS)
- G40B: BSc Computer Science (4 year with Incorporated Foundation) year 1 (BSC/CS1)
- I102: BSc Computer Science (with International Experience) year 1 (BSC/CSIE)
- H113: BSc Data Science and Machine Learning year 1 (BSC/DSML)
- H114: BSc Data Science and Visualisation year 1 (BSC/DSV)
- H611: BSc Electronic Engineering year 1 (BSC/ELE)
- H63B: BSc Electronic Engineering (4yr with Incorp Foundation) year 1 (BSC/ELE1)
- H117: MComp Computer Science year 1 (MCOMP/CS)
- H661: MEng Control and Instrumentation Engineering year 1 (MENG/CIE)
- H617: MEng Computer Systs Eng (4 yrs) year 1 (MENG/CSE)
- H619: MEng Computer Systems Engineering (with International Exper) year 1 (MENG/CSEIE)
- H601: MEng Electronic Engineering (4 yrs) year 1 (MENG/EE)