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Computer Systems (COMP30023)
Undergraduate level 3Points: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Dr Junhao Gan
Overview
Availability | Semester 1 |
---|---|
Fees | Look up fees |
AIMS
Over the last half-century, computers have improved at a faster rate than almost any other technology on the planet, yet the principles on which they work have remained mostly constant. In this subject, students will learn how computer systems work "under the hood".
The specific aim of this subject is for the students to develop an understanding of the basic concepts underlying computer systems. A key focus of this subject is the introduction of operating systems principles and computer network protocols. This knowledge is essential for writing secure software, for writing high performance software, and for writing network-based services and applications.
INDICATIVE CONTENT
Topics covered include:
- The role of the operating system
- The memory hierarchy (caches, virtual memory, and working sets)
- Interrupt handling, processes and scheduling
- File systems
- Introduction to multiprocessors and synchronization
- Introduction to network protocols (OSI model)
- Development of client-server applications
- Computer system security and cryptographic protocols.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subject students are expected to:
- Demonstrate their knowledge of operating systems from the programmer's perspective
- Demonstrate their knowledge of networking technologies from the programmer's perspective
- Apply this knowledge to select appropriate tools and technologies for a problem at hand
- Build simple server applications
- Recognise some common security vulnerabilities and the reason why they are present in a particular system
Generic skills
On completion of this subject, students should have developed the following skills:
- An ability to apply knowledge of basic science and engineering fundamentals
- An ability to undertake problem identification, formulation and solution
- The capacity to solve problems, including the collection and evaluation of information
- The capacity for critical and independent thought and reflection
- An expectation of the need to undertake lifelong learning, and the capacity to do so.
Last updated: 22 March 2024
Eligibility and requirements
Prerequisites
Students must have completed ONE OF the following subjects:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP20003 | Algorithms and Data Structures | Semester 2 (On Campus - Parkville) |
12.5 |
COMP20007 | Design of Algorithms | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
Corequisites
None
Non-allowed subjects
COMP30017
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP90007 | Internet Technologies |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 22 March 2024
Assessment
Additional details
- Project work throughout the semester, usually completed in two separate stages (tasks), requiring approximately 30 - 35 hours of work (30%) due in the middle of semester and at the end of semester.
- One mid-semester test (10%)
- One 2-hour end-of-semester examination (60%).
Hurdle requirement: To pass the subject, students must obtain at least:
- 50% overall, 15/30 for the project work
- And 35/70 for the mid-semester test and end-of-semester written examination combined.
Intended Learning Outcomes (ILOs) 1-5 are addressed in the projects, the mid-semester test, and the final exam.
Last updated: 22 March 2024
Dates & times
- Semester 1
Coordinator Junhao Gan Mode of delivery On Campus (Parkville) Contact hours 48 hours, comprising of two 1-hour lectures and one 1-hour tutorial and one 1-hour computer lab per week. Total time commitment 170 hours Teaching period 4 March 2019 to 2 June 2019 Last self-enrol date 15 March 2019 Census date 31 March 2019 Last date to withdraw without fail 10 May 2019 Assessment period ends 28 June 2019 Semester 1 contact information
Dr Junhao Gan
Time commitment details
170 hours
Last updated: 22 March 2024
Further information
- Texts
Prescribed texts
None
- Subject notes
LEARNING AND TEACHING METHODS
The subject is delivered through a combination of lectures and workshops (tutorial and individual/group work). Students get a hands-on introduction to advanced programming through a series of problem solving exercises. Tasks will encapsulate operating system fundamentals and computer network protocols and services. Students will then go on to complete project work. Students will also learn how to use basic cryptographic primitives to protect data privacy and integrity. Students will begin to gain an understanding of how to analyse cryptographic protocols and what degree of privacy and integrity they achieve.
INDICATIVE KEY LEARNING RESOURCES
Students have access to lecture notes, lecture slides, tutorial worksheets, a programming environment and the Department servers. The subject LMS site contains links to recommended resources relating to basic/advanced programming, and advanced problems resources relating to basic/advanced programming, and advanced problems for students who want to extend themselves.
CAREERS / INDUSTRY LINKS
The IT industry is a large and steadily growing industry. Skills in operating systems and programming development that exploits the underlying computer system are essential for working in the IT industry, for example in software development companies, website development companies, telecommunication companies and game development companies. There is scope for a range of companies/organisations to be involved in the delivery of the subject (through guest lectures etc.) including AURIN (Australian Urban Research Infrastructure Network: geomatics, distributed computing, web development), VLSCI (Victorian Life Sciences Computing distributed computing, big data).
- Related Handbook entries
This subject contributes to the following:
Type Name Informal specialisation Science-credited subjects - new generation B-SCI Informal specialisation Bachelor of Design Elective Subjects Major Computing and Software Systems Major Computing Major Computer Science Specialisation (formal) Software with Business Specialisation (formal) Software - Breadth options
This subject is available as breadth in the following courses:
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 22 March 2024