COMP SCI 2000 - Computer Systems
North Terrace Campus - Semester 2 - 2017
General Course Information
Course Code COMP SCI 2000 Course Computer Systems Coordinating Unit School of Computer Science Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 2.5 hours per weeks Available for Study Abroad and Exchange Y Prerequisites One of COMP SCI 1007, COMP SCI 1009, COMP SCI 1102, COMP SCI 1202 or COMP SCI 2202 Assumed Knowledge MATHS1012 or MATHS 1008 Course Description Information storage representation, Memory organisation and hierarchy, Processor fundamentals, assembler programming, assembler operation, subroutine calling mechanisms, linking/loading, Input-output and device controllers requirements for supporting an operating system and device drivers.
Course Coordinator: Dr Damith Ranasinghe
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, diffuse 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.
Learning & Teaching Activities
Learning & Teaching Modes
The course will be taught using a combination of lectures, quizzes, workshops and practical 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 for marking / assessment and later reopened for revision 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 spend time on catching up on other work first, you may not be properly prepared for the assignments.
The 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 SummaryThe assessment will comprise four parts:
- Exam (50%) (CBOK areas* abstraction, design, hardware and software, data and information, and programming)
- In lecture exams (10%) (CBOK areas* abstraction, design, hardware, data and information)
- Assignments (20%) (CBOK areas* abstraction, design, hardware and software, data and information, and programming)
- Quizzes (10%) (CBOK areas* design, hardware and software)
- Workshops - attendence and participation (10%) (CBOK areas* abstraction, design, hardware and software, data and information, and programming)
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.
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 lecture written exams, Tuesday of Week 2 and Tuesday of Week 4. Each exam contributes up to 5%.
All practical 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 programs, and a manual review of a 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 mark of zero for the assignment. Details of how the three aspects are combined and a marking rubric is provided on the course website and is linked to by each 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 7.5% Assignment 3 Friday Week 11 Friday Week 12 Programming 7.5%
You will receive an attendance mark for each workshop that you attend and actively participate in. The workshop attendance 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 10 online quizzes available on the course website. The due dates are available on the course website.
SubmissionAll practical 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 capped at 75%, marks below 75% are not affected.
up to 2 days late — mark capped at 50%, marks below 50% are not affected.
up to 3 days late — mark capped at 25%, marks below 25% are not affected.
More than 3 days late — no marks available.
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 on-line quizzes, no late submissions are permitted.
Failure to attend an in lecture 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.
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