COMP SCI 3004 - Operating Systems
North Terrace Campus - Semester 2 - 2020
General Course Information
Course Code COMP SCI 3004 Course Operating 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 week Available for Study Abroad and Exchange Y Prerequisites One of COMP SCI 1007, COMP SCI 1009, COMP SCI 1103, COMP SCI 1203, COMP SCI 2103, COMP SCI 2202 or COMP SCI 2202B Assumed Knowledge COMP SCI 2000 Course Description OS purposes: resource management and the extended virtual computer; historical development. Processes: critical sections and mutual exclusion, semaphores, monitors, classical problems, deadlock; process scheduling. Input and Output: hardware and software control.
Memory management: multi-programming; swapping; virtual memory, paging and symbolic segmentation; File System: operations, implementation, performance. Operating System Security and Protection mechanisms:
protection domains, access lists, capability systems, principle of minimum privilege, security threats and attacks, encryption, and authentication
Course Coordinator: Adjunct Professor Hong Shen
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesThrough the study of this course, students will gain a comprehensive understanding on the concepts
and functions of a modern operating system. Students will be able to;
1 Explain the role of the operating system as a high level interface to the hardware. 2 Use OS as a resource manager that supports multiprogramming 3 Explain the low level implementation of CPU dispatch. 4 Explain the low level implementation of memory management. 5 Explain the performance trade-offs inherent in OS implementation
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 1.4 1.5 1.6 2.1 2.2 2.3 3.1 3.2 3.3 3.4 3.5 3.6
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)
1-5 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
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
3-5 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 this course is:
Operating Systems Concepts (9th edition) by A. Silberschatz, P. B. Galvin
and G. Gagne,, John Wiley& Sons, 2012
Recommended ResourcesReference book:
A.S. Tanenbaum, Modern Operating Systems, Prentice-Hall International, 2008.
Learning & Teaching Activities
Learning & Teaching ModesIn this course, you will learn the features of common operating systems in modern computing environments, and the principles on which those features are based. These include processes, CPU scheduling, synchronisation problems, deadlocks, main and virtual memory management, storage management, file systems and I/O, protection and security.
The course includes one problem-solving assignment and two practical assignments. These assignments will give you a solid theorectical understanding and practical (programming) skills of how key parts of an OS work.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.On average, students are expect to spend around 12 hours a week on this course, including lectures, tutorials, and doing the required readings. The practical and problem-solving assignments for this course are challenging, and the amount of time students need to spend on them will depend a lot on the level of programming skill and theorectical understanding.
Learning Activities SummaryThe outline of the lecture component of the course is as follows:
2 lectures on history and concepts
8 lectures on process management (processes, CPU scheduling, process synchronization, deadlocks)
6 lectures on memory management (main memory and virtual memory)
3 lectures on file systems and I/O system
4 lectures on protection and security
1 lecture on brief description on Linux and Windows XP and review
The tutorial topics will broadly follow this schedule
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 course assessment consists of two components:
• Problem-solving assignment 60% (CBOK areas* history& status of discipline, abstraction, design, hardware and software and service management). *Hurdle requirement* - must achieve a mimimum performance of 40% on problem-solving assignment to pass the course (https://www.adelaide.edu.au/policies/700/).
• Programming Assignments (40%) (CBOK areas* design, hardware and software and programming)
*For the CBOK refer to ACS accreditation page https://www.acs.org.au/accreditedcourses-and-jobs
Assessment Related RequirementsHurdle Requirement: If your overall mark for the course is greater than 44 F but, your mark for the problem-solving assignment is less than 40%, your overall mark for the course will be reduced to 44 F.
Assessment DetailThe problem-solving assignment will cover the core knowledge of all components studied in the course. It is an individual assignment and will be distributed to students in week 12.
Assignment submissions will be marked within one weeks of the submission deadline.
Two programming assignments will be given by week 3 and week 7 respectively. Each assignment worths 20%. Students will be allowed to work in teams of up to two people.
Assignment submissions will be marked within two weeks of the submission deadline. Brief written feedback will be provided along with marks.
SubmissionAll assignments must be submitted using the School of Computer Science Web Submission System. Details are included in each assignment description on the course website.
Penalty for Late Submission of Assessment Tasks
If you hand in your work late, your mark will be capped, based on how many days late it is.
1 day late – mark capped at 75%
2 days late – mark capped at 50%
3 days late – mark capped at 25%
more than 3 days late – no marks available.
Granting of Extensions:
Extensions will only be given in exceptional circumstances and with evidence provided, ie medical certificate. You should apply by e-mail to the course coordinator (email@example.com) before the due date. Commitments with work or other subjects will not be considered valid grounds for extension – you are expected to manage your time effectively based on the workload you have chosen to take on.
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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