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Unit outline_

COMP3520: Operating Systems Internals

Semester 2, 2021 [Normal day] - Remote

This unit will provide a comprehensive discussion of relevant OS issues and principles and describe how those principles are put into practice in real operating systems. The contents include internal structure of OS; several ways each major aspect (process scheduling, inter-process communication, memory management, device management, file systems) can be implemented; the performance impact of design choices; case studies of common OS (Linux, MS Windows NT, etc.).

Unit details and rules

Academic unit Computer Science
Credit points 6
Prerequisites
? 
(COMP2017 OR COMP2129) AND (COMP2123 OR COMP2823 OR INFO1105 OR INFO1905)
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Bing Zhou, bing.zhou@sydney.edu.au
Type Description Weight Due Length
Final exam (Open book) Type C final exam Final exam
50% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO6 LO7
Assignment Assignment 1
programming and report writing
20% Week 06 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Assignment Assignment 2
programming and report writing
15% Week 10 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Assignment Assignment 3
programming and report writing
15% Week 13 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Type C final exam = Type C final exam ?

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

In order to pass this unit, a student must achieve (1) at least 40% in the final examination, AND (2) at least 40% average in the assignments, AND (3) must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Introduction to Operating Systems Lecture (2 hr) LO6
Week 02 ASM & GDB Lecture and tutorial (4 hr) LO4 LO6
Week 03 Processes & Threading Review Lecture and tutorial (4 hr) LO2 LO3 LO6
Week 04 Implementing Processes/Threads Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6
Week 05 Schedulers Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 06 Memory Management 1 Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO6 LO7
Week 07 Memory Management 2 Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO6 LO7
Week 08 Memory Management 3 Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO6 LO7
Week 09 IO & Drivers Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO6 LO7
Week 10 File Systems Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO6 LO7
Week 11 Case studies in File Systems + Implementation Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 12 Security Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO6
Week 13 Review Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. demonstrate abilities in technical writing to communicate complex ideas clearly
  • LO2. possess knowledge of available OS systems
  • LO3. demonstrate ability to design algorithms to solve OS related problems
  • LO4. hold and understanding of OS internal components
  • LO5. demonstrate ability to efficiently implement OS-related algorithms
  • LO6. understand the significance of OS concepts and its impact on the whole computer systems
  • LO7. hold an understanding of a range of algorithms for OS, their performance and how and where to apply them.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

changed assignments, changed tutors

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.