COMP SCI 7081 - Computer Systems
North Terrace Campus - Semester 1 - 2019
General Course Information
Course Code COMP SCI 7081 Course Computer Systems Coordinating Unit School of Computer Science Term Semester 1 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 Assumed Knowledge Mathematics as taught in MATHS 1012 or MATHS 1008 Restrictions Master of Computing and Innovation, Master of Data Science, 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 Alfred Fred Brown
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) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
1-7 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
2,3,5 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
1-7 Self-awareness and emotional intelligence
- a capacity for self-reflection and a willingness to engage in self-appraisal
- open to objective and constructive feedback from supervisors and peers
- able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
Required ResourcesThe textbook for the course is: The Elements of Computing Systems, by Noam Nisan and Shimon Shocken, MIT Press, 2008, ISBN13-978-0-262-64068-8.
It is highly recommended that you buy this book. It is available in soft cover form and available electronically as an e-book.
The first six chapters of are on the Nand2Tetris website used by the course but we will be using materials in chapters beyond this.
Online LearningOnline resources, such as the web-submission system can be accessed via the course myuni pages.
Learning & Teaching Activities
Learning & Teaching Modes
The course will be taught using a combination of lectures, quizzes, workshops and programming assignments.
You are expected to read the relevant chapters of the text book before and after each lecture, and to actively participate in class activities.
The quizzes will be open for a limited period only. Please check the course website regularly so you do not miss the 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 demonstrated in the workshops and give you an opportunity to demonstrate what you are learning.
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)* Hurdle criteria Learning outcomes CBOK Alignment** Online Lecture Review Quizzes 10 Individual Formative 1 to 12 1. 3. 6. 1.2 3.1 Workshops 10 Individual Formative 1 to 12 1. 2. 3. 5. 6. 1.1 1.2 3.1 3.2 4.1 Assignments 20 Individual Formative 7, 9, 12 1. 2. 3. 5. 6. 1.1 1.2 3.1 3.2 4.1 Exams 10 Individual Formative 4,8 1. 2. 1.1 1.2 3.1 3.2 4.1 Exam 50 Individual Summative E Min 40% 1. 2. 3. 4. 5. 6. 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.
This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.
**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 44 F but, your mark for the final written exam is less than 40%, your overall mark for the course will be reduced to 44 F.
Additional Assessment: All assignments are mandatory: you must make a submission for each assignment within one week of its due date or any opportunity for an additional assessment may be denied.
Assessment DetailThe written exam is held in the end-of-semester exam period. The exam will test your understanding of the lecture, workshop and assignment material.
There will be two in-workshop written exams during weeks 4 and 8. Each in-workshop exam contributes up to 5%.
All programming assignments require you to write programs that will be assessed by considering three aspects of your submissions. Automatic assessement by the Web Submission System, a manual review of the submitted hardware programs, and a manual review of the associated logbook. The logbook is a vital part of your assessment - a lack of a log-book with a narrative of your development process may result in a very low mark for the assignment. Details of how the three aspects are combined and a marking rubric is provided on the course website. These are linked to by each programming assignment description.
Each assignment has two submission points, a milestone submission and a final submission. The milestone submissions are an opportunity to receive marks for work completed early. Milestone submissions are only subject to automatic marking by the Web Submission System but the work will be fully assessed as part of the final submission.
Assignment Milestone Due Final Due Description Weighting Assignment 1 Tuesday Week 7 Friday Week 7 Programming 5% Assignment 2 Tuesday Week 9 Friday Week 9 Programming 5% Assignment 3 Friday Week 11 Friday Week 12 Programming 10%
You will receive a participation mark for each workshop that you attend and actively participate in. The workshop participation marks are equally weighted so that if you attend and actively participate in all of them, the marks will add up to 10%.
There will be a significant number of lecture review quizzes available on the course website. The lecture review quizzes are equally weighted so that if you attempt all of them and get full marks, the marks will add up to 10%. The due dates are available on the course website.
SubmissionAll 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.
If you hand in your work late, your mark may be capped, 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.
We expect to be able to return the final marks of each assignment within three weeks of the deadline.
Due to the nature of the quizzes, no late submissions are permitted.
Failure to attend an in-workshop exam will be dealt with on a case by case basis subject to appropriate documentation being provided.
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 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.
- Academic Support with Maths
- Academic Support with writing and speaking skills
- Student Life Counselling Support - Personal counselling for issues affecting study
- International Student Support
- AUU Student Care - Advocacy, confidential counselling, welfare support and advice
- Students with a Disability - Alternative academic arrangements
- Reasonable Adjustments to Teaching & Assessment for Students with a Disability Policy
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
Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.
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