COMP SCI 7081 - Computer Systems
North Terrace Campus - Semester 2 - 2023
General Course Information
Course Code COMP SCI 7081 Course Computer Systems Coordinating Unit School of Computer Science Term Semester 2 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 2.5 hours per week Available for Study Abroad and Exchange Y Prerequisites COMP SCI 7103, COMP SCI 7202, COMP SCI 7202B or COMP SCI 7208 Assumed Knowledge Mathematics as taught in MATHS 1012 or MATHS 1008 and MATHS 1004 Restrictions Master of Computing and Innovation, Master of Data Science, Master of Cyber Security, Grad Dip in Computer Science and Grad Cert in Computer Science students only Course Description This course introduces the elements of computer systems from the level of basic hardware gates, through to compilers, languages and applications. The aim is to give an overview of the layered nature of computer systems and how the use of simple interfaces can make the design of complex and powerful systems possible. Topics covered include: digital logic, memory, processors, assembly language, virtual machines, recursive descent parsing, code generation and operating systems.
Course Coordinator: Dr Marian Mihailescu
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn successful completion of this course students will be able to:
1 Demonstrate an understanding of the layered and modular nature of computer systems 2 Design the core components of a computer from basic components 3 Understand and Apply knowledge of how computers represent programs and data 4 Explain how a computer executes a program 5 Write assembler and machine code 6 Understand the translation process from higher level representations into machine language 7 Explain how Input/output operations are implemented, and describe some basic I/O devices
The above course learning outcomes are aligned with the Engineers Australia Stage 1 Competency Standard for the Professional Engineer.
The course is designed to develop the following Elements of Competency: 1.1 1.2 1.3 1.5 1.6 2.1 2.2 2.3 3.1 3.2 3.3 3.4 3.5
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s)
Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
Attribute 8: Self-awareness and emotional intelligence
Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.
Required ResourcesThe textbook for the course is: The Elements of Computing Systems, second edition, by Noam Nisan and Shimon Shocken, MIT Press, 2021, ISBN13-978-0-262-53980-7.
It is highly recommended that you buy this book. It is available in soft cover form and available electronically as an e-book. If you have access to the first edition, use that instead. There is no significant difference in the material covered by both editions.
The first six chapters of the textbook are on the Nand2Tetris website used by the course but we will be using materials in chapters beyond this.
Online LearningThe primary electronic resource for the course is the MyUni pages. These pages link to other electronic resources you will need such as the web submission system.
Learning & Teaching Activities
Learning & Teaching Modes
The course will be taught using a combination of pre-recorded lectures, lecture review quizzes, workshops, quiz exams and programming assignments. There is no end of semester written exam.
You are expected to read the relevant chapters of the text book before and after each lecture, and to actively participate in workshop activities.
The lecture review quizzes will be open during the week that they are due. Please check the course website regularly so you do not miss the lecture review quiz due dates.
To get the most out of the workshop sessions you need to prepare in advance and make sure that you focus on the workshop material during the workshop. This is the best time to get direct feedback on and assistance with the practical skills covered in the workshop. If you do not attend the workshops and ask questions, you may not be properly prepared for the programming assignments.
The programming assigments build on the practical skills shown in the workshops and give you an opportunity to demonstrate what you are learning. To get the most out of the programming assignments it is important to reflect on what you may be learning whilst attempting them by keeping a logbook that records how you developed your work. The timing, frequency and content of the logbook entries are all considered in the assessment of the programming assignments.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.You are expected to spend 10 hours per week on the course. This includes:
- attending all of your enrolled classes,
- up to 2 hours per week on lecture preparation / review,
- up to 5 hours per week on the assignments and workshop preparation, and
- any remaining time working on the following week's material.
Learning Activities SummaryThe lecture topics, quizzes, workshop descriptions and assignment descriptions are all available on the course website.
A schedule is available on the course website but specific due dates are only available in each quizz, workshop description or assignment description.
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Learning outcomes CBOK Alignment** Online Lecture Review Quizzes 5 Individual Formative 2 to 12 1. 3. 6. 1.2 3.1 Assignments 36 Individual Summative 2, 3, 5, 6, 9, 10, 12 1. 2. 3. 5. 6. 1.1 1.2 3.1 3.2 4.1 Supervised Exam Quizzes 14 Individual Summative 4, 8 1. 4. 7. 1.1 1.2 3.1 3.2 4.1 Final Exam 45 Individual Summative Exam Period 1. 4. 7. 1.1 1.2 3.1 3.2 4.1 Total 100
This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
**CBOK is the Core Body of Knowledge for ICT Professionals defined by the Australian Computer Society. The alignment in the table above corresponds with the following CBOK Areas:
1. Problem Solving1.1 Abstraction1.2 Design
2. Professional Knowledge2.1 Ethics2.2 Professional expectations2.3 Teamwork concepts & issues2.4 Interpersonal communications2.5 Societal issues2.6 Understanding of ICT profession
3. Technology resources3.1 Hardware & Software3.2 Data & information3.3 Networking
4. Technology Building4.1 Programming4.2 Human factors4.3 Systems development4.4 Systems acquisition
5. ICT Management5.1 IT governance & organisational5.2 IT project management5.3 Service management5.4 Security management
Assessment Related RequirementsHurdle Requirement: If your overall mark for the course is greater than 45 F but, your mark for the Final Exam is less than 40%, your overall mark for the course will be reduced to 45 F.
Supervised Quiz Exams
The scheduled workshop times in weeks 4 & 8 will be used to run 40 minute supervised quiz exams which contribute up to 7% each.
These quiz exams will test your understanding of the lecture, workshop and assignment material. These quiz exams must be taken under supervision.
All programming assignments require you to write programs that will be assessed by considering aspects of your submissions, automatic assessement by an Autograding script, including an automatic review of the submitted programs coding style, and a manual review of the associated testing. Testing is a vital part of your assessment - a lack of relevant testing in your development process may result in a mark of 0 for the assignment. Details are provided on the course website. These are linked to by each programming assignment description.
Each assignment has two submission times at which marks are awarded, a milestone submission and a final submission. The milestone submissions require some work to be completed early. You must achieve at least 20% of the marks available in programming assignment 3 to satisfy one of the hurdle requirements for the course.
All programming assignments must be submitted using the School of Computer Science online Submission System. Details are included in each assignment description on the course website.
Submissions made to a 'Submit Here' assignment are allocated a set of marks by a test script that are then used to separately calculate a a mark for each sub-assignment. Each sub-assignment has its own due date that is also used to cap the mark given to a specific submission, based on how many days late it is, as follows:
- up to 1 day late — mark is reduced to 75%, marks below 75% are not affected.
- up to 2 days late — mark is reduced to 50%, marks below 50% are not affected.
- up to 3 days late — mark is reduced to 25%, marks below 25% are not affected.
- More than 3 days late — mark is reduced to 0.
Students who do not attend an exam will be dealt with on a case by case basis subject to appropriate documentation being provided. Late submissions for any exam will receive a mark of 0.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
The programming assignment marks will be collated and published in the myuni grade book when the final submissions have been marked. Note, these may appear to be different from those in the web submission system because of the individual weightings applied to the manually and auto-graded sections as described in the assignment outline.
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangement Policy
- Academic Honesty Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Elder Conservatorium of Music Noise Management Plan
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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