INFO1112: Semester 2, 2022

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Units INFO1112 Semester 2 2022 [Normal day]

Unit of study_

INFO1112: Computing 1B OS and Network Platforms

Semester 2, 2022 [Normal day] - Camperdown/Darlington, Sydney

Overview

The unit introduces principles and concepts of modern computer systems, including mobile computers and the Internet, to provide students with fundamental knowledge of the environments in which modern, networked applications operate. Students will have basic knowledge to understand how computers work and are aware of principles and concepts they are likely to encounter in their career. The unit covers: Principles of operating systems and the way applications interact with the OS, including the particularities of modern operating systems for mobile devices Principles of computer networking, including mobile networking Writing applications that use facilities of the OS and networking, including understanding the challenges that are common in distributed systems

Unit details and rules

Unit code	INFO1112
Academic unit	Computer Science
Credit points	6
Prohibitions ?	None
Prerequisites ?	None
Corequisites ?	ELEC1601 AND (INFO1110 OR INFO1910 OR INFO1103 OR INFO1113)
Assumed knowledge ?	A basic knowledge of Python is assumed. For most students, INFO1110 should have already been passed in Semester 1
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Nazanin Borhan, nazanin.borhan@sydney.edu.au
Lecturer(s)	Nazanin Borhan, nazanin.borhan@sydney.edu.au

Type	Description	Weight	Due	Length
Small continuous assessment	Homework Homework due the lab session in weeks 2,4,6,8,10,12	30%	Multiple weeks	Homework due in weeks 2,4,6,8,10,12
Outcomes assessed:
Assignment	Assignment 1 programming task - Introductory Unix	10%	Week 04 Due date: 28 Aug 2022 at 23:59	4 weeks
Outcomes assessed:
Small test	Mid-semester Quiz A quiz in lecture covering material from first half of semester.	10%	Week 07	30 minutes
Outcomes assessed:
Assignment	Assignment 2 programming task - Unix processes	20%	Week 08 Due date: 23 Sep 2022 at 23:59	5 weeks
Outcomes assessed:
Small test	End-semester quiz A quiz in lecture covering material from the whole semester.	10%	Week 13	30 minutes
Outcomes assessed:
Assignment	Assignment 3 programming task - networking	20%	Week 13 Due date: 03 Nov 2022 at 23:59	5 weeks
Outcomes assessed:

Assessment summary

Homework due week 2,4,6,8,10,12
Assignments due week 4, 8, 13
mid-semester quiz in week 7
end-semester quiz in week13

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	It is a policy of the School of Computer Science that in order to pass this unit, a student must achieve at least 40% in the final examination. For subjects without a final exam, the 40% minimum requirement applies to the corresponding major assessment component specified by the lecturer. A student 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 sydney.edu.au/students/guide-to-grades.

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.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Learning support

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.

Weekly schedule

WK	Topic	Learning activity
Week 01	Representations: bits, numbers, characters, insrructions. Operating systems: function, purpose.	Lecture and tutorial (4 hr)
Week 02	Main subcomponents of OS. Processes. Command line.	Lecture and tutorial (4 hr)
Week 03	Kernel space, user space; Namespace and file system.	Lecture and tutorial (4 hr)
Week 04	Memory. Scheduling. Boot Sequence.	Lecture and tutorial (4 hr)
Week 05	Emulation and virtual machines.	Lecture and tutorial (4 hr)
Week 06	Networks; Layering principle and protocols	Lecture and tutorial (4 hr)
Week 07	Internetworking: TCP/IP	Lecture and tutorial (4 hr)
Week 08	Domain Name Service; Application layer protocols	Lecture and tutorial (4 hr)
Week 09	Computer and network security.	Lecture and tutorial (4 hr)
Week 10	Concepts of cloud computing	Lecture and tutorial (4 hr)
Week 11	GUI systems; OS for handhelds	Lecture and tutorial (4 hr)
Week 12	Micro-services and internet based APIs	Lecture and tutorial (4 hr)
Week 13	Where to next? Review of semester and exam	Lecture and tutorial (4 hr)

Attendance and class requirements

Lecture material has been prerecorded in a set of topic-based videos. Before coming to the live lecture, students are expected to view these videos and complete the associated quiz (not assessed).

Students must attend a 2 hour onsite or online lab session every week starting in week 1. There will be pre-work for all sessions except week 1.

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.

Learning outcomes

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.

Outcomes
Graduate qualities

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

LO1. manage their time and activities in a multi-week individual project
LO2. produce clear written report
LO3. extend their knowledge, acquire new knowledge, and connect to conceptual frameworks in operating systems and networks and the impact on application development, without explicit instruction
LO4. understand basic functions that an operating system performs, and know the main subcomponents of the OS
LO5. understand basic functions that networking performs, and know the most important layers/subcomponents in networking
LO6. use essential system tools to monitor OS and network status
LO7. understand additional concepts relevant for OS for server and for handhelds, including virtualisation and containers
LO8. demonstrate experience with a number of different operating systems
LO9. identify the interfaces at which users/applications can interact with the OS and the network, and identify where the OS function or network communication needs to be protected against unauthorized access
LO10. understand major ideas used in internal implementation of OS and networks, such as caching, process structures, memory mapping, layering, reliable/unreliable transport, multiplexing and packet switching
LO11. demonstrate awareness of some key algorithmic approaches that can be used in some subcomponents of OS and networking (eg routing, scheduling); also aware of alternative implementations in some cases, and of the tradeoffs involved
LO12. write basic application functionality to interact with the operating system and the network, e.g. by opening and closing files, writing to disk, and sending application-layer data to remote applications
LO13. demonstrate awareness of several major challenges that arise in distributed systems and mobile applications, e.g. failure tolerance and latency tolerance.

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
Learning outcomes

Responding to student feedback

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

The topics and basic material for INFO1112 were completely revised for online delivery in 2020. A couple of changes were introduced in 2021, including a new lecture for Week 12 and new assessments. The assessments and homeworks will be revised for 2022, but the unit outline will be the same as in 2021.

Additional information

IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism. In assessing a piece of submitted work, the School of Computer Science may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.

Computer programming assignments may be checked by specialist code similarity detection software. The Faculty of Engineering currently uses the similarity report available in ED (edstem.org). This program works in a similar way to TurnItIn in that they check for similarity against a database of previously submitted assignments and code available on the internet, but they have added functionality to detect cases of similarity of holistic code structure in cases such as global search and replace of variable names, reordering of lines, changing of comment lines, and the use of white space.”

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.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

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