• Class Number 4420
  • Term Code 3230
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • AsPr Hanna Suominen
  • LECTURER
    • Mindika Premachandra
  • Class Dates
  • Class Start Date 21/02/2022
  • Class End Date 27/05/2022
  • Census Date 31/03/2022
  • Last Date to Enrol 28/02/2022
SELT Survey Results

Data communications and computer networking systems are growing rapidly in both size and function. It is impossible to think of a successful business day without the Internet. Modern communication technologies such as WiFi, Bring Your Own Device (BYOD), and Internet of Things (IoT) help us to stay connected with our family, friends, and work regardless of present location. 


Networked Information Systems (NISs) are becoming an essential part of everyday experiences, in our kitchen appliances, cars, and public transport and for Internet banking and shopping. Because they can make or break a day, understanding how networks work, and how they should be set up and managed to for reliability, scalability, mobility, and security is of the utmost importance to us.


In this course, you will learn fundamental concepts of data communication and networking in addition to gaining a working knowledge of network scalability, mobility, security, and managing capabilities. You will have the foundational basis to understand, evaluate, and compare new technologies and their applications. You will also develop a working knowledge of measuring risks and security threats and considering network monitoring and management procedures. Finally, you will build an ethics awareness and the communication skills needed to apply these networking concepts to a range of real-life analytical scenarios.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Analyse how network applications and their components work in real-life socio-economic, ethical, and legal contexts and develop their risk assessments and security controls.
  2. Evaluate the role of network standards, protocols, and layered models.
  3. Analyse network design principles, topologies, architectures, and their components.
  4. Design logical and physical networks at levels from the local area to the Internet.
  5. Create a virtual machine and apply tools for packet analysis and file encryption in a lab environment.

Research-Led Teaching

The teaching and learning activities below are founded on state-of-the-art research outcomes and currently ongoing research projects. For example, networked information systems in healthcare are considered through the strategic Our Health In Our Hands (OHIOH) initiative of The ANU, created in partnership with ACT Health.

Examination Material or equipment

Learning Outcomes related to the Assessment Details below:


Upon successful completion of the unit, students will have the knowledge, abilities, and skills to

L1. Analyse how network applications and their components work in real-life socio-economic, ethical, and legal contexts and develop their risk assessments and security controls.

L2. Evaluate the role of network standards, protocols, and layered models.

L3. Analyse network design principles, topologies, architectures, and their components.

L4. Design logical and physical networks at levels from the local area to the Internet.

L5. Create a virtual machine and apply tools for packet analysis and file encryption in a lab environment.


L1-L5 above refer to the learning objectives of this unit. See, e.g., https://www.bloomstaxonomy.net/ for further information about the Bloom’s taxonomy to define and differentiate levels of thinking — or depth of learning — related to discuss, analyse, evaluate, apply, design, develop, create, and other action words above.

Required Resources

Textbook

  • Fitzgerald J, Dennis A, Durcikova A (2019). Business Data Communications and Networking, 13th Australia & New Zealand Edition. Hoboken, NJ, USA: Wiley. You can purchase it as an online or hard copy, for example, from Wiley. The ANU Library may have copies as well.


Recommended Student Actions to take ASAP

  • Get the aforementioned textbook.
  • Enable online studies (e.g., a laptop, Internet connection, Watlle, and Zoom).
  • Get remote access to the ANU, Virtual Private Network services, and CECS computing labs. You may also find these software access, installation, and virtual machine instructions by CECS helpful. Please note that for students without remote access to ANU CECS computing labs, learning outcomes related to experiencing at least two devices communicating to each other may be suboptimal.
  • Follow ANU Wattle closely and participate in discussions and polls.
  • Study the learning contents, week by week, once offered. Keep up with these learning contents and activities; see the recommended weekly schedule above.

Whether you are on campus or studying remotely, there are a variety of online platforms you will use to participate in your study program. These could include videos for lectures and other instruction, two-way video conferencing for interactive learning, email and other messaging tools for communication, interactive web apps for formative and collaborative activities, print and/or photo/scan for handwritten work and drawings, and home-based assessment.

ANU outlines recommended student system requirements to ensure you are able to participate fully in your learning. Other information is also available about the various Learning Platforms you may use.


ANU Library

ANU Academic Skills


Staff Feedback

Students will be given feedback in the following forms: 

  • Written marks and feedback for the online quizzes on Wattle.
  • Written marks of the computing lab exam with option to discuss verbally. 
  • Written marks and feedback on the assignment with option to discuss verbally. 
  • Written marks of the mid-term exam with option to discuss verbally.
  • Written marks of the final exam with option to discuss verbally.
  • Casual verbal feedback and comments during lectures, tutorials, and labs.


Marks for assessment items, with the exception of the of the final exam, are retuned to students within 2 weeks from the respective submission dates, using Wattle. If you have questions related to your mark, you must contact Hanna Suominen within 14 days from the mark release. In accordance with the ANU examination policies, final exam marks are released only after the final marks for the entire unit have been released by the ANU.


Note that consistent scaling for each of the units may occur with the final marks. Students must get a minimum final overall mark of at least 50/100 (50%) to pass the subject. Final marks are moderated by the examiners meeting of the School of Computing. Supplementary assessment will be awarded to those students with an overall unit mark of between 45 and 49.

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). Feedback can also be provided to Course Conveners and teachers via the Student Experience of Learning & Teaching (SELT) feedback program. SELT surveys are confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.

Class Schedule

Week/Session Summary of Activities Assessment
1 Data Communications (Textbook Chapter (Ch.) 1), Lecture (2 hours), Computer Lab 1 (2 hours) Wattle Quiz 1
2 Academic Writing, Lecture (2 hours), Tutorial (1 hour) Wattle Quiz 2
3 Application Layer (Ch. 2), Lecture (2 hours), Computer Lab 2 (2 hours), Tutorial (1 hour) Wattle Quiz 3
4 Network and Transport Layers (Ch. 4), Lecture (2 hours), Tutorial (1 hour) Wattle Quiz 4
5 Local Area Networks (LANs, Ch. 7), Lecture (2 hours), Computer Lab 3 (2 hours), Tutorial (1 hour) Wattle Quiz 5
6 Backbone Networks (Ch. 8), Lecture (2 hours), Tutorial (1 hour) Wattle Quiz 6, Assignment Specification released on Wattle
7 Network Design and Management (Ch. 6 & 12), Lecture (2 hours), Computer Lab 4 (2 hours), Tutorial (1 hour) Wattle Quiz 7, Assignment Group chosen on Wattle, Mid-Term Exam (2 hours)
8 Virtual LANs and Wide Area Networks (Ch. 9), Lecture (2 hours), Tutorial (1 hour) Wattle Quiz 8
9 Ethics and Security in Networked Cyber-physical Systems and the Internet (Ch. 10 & 11), Lecture (2 hours), Computer Lab 5 (2 hours), Tutorial (1 hour) Wattle Quiz 9, Mid-Term Exam Mark released on Wattle
10 Ethics and Security in Networked Cyber-physical Systems and the Internet, Lecture (2 hours), Tutorial (1 hour) Wattle Quiz 10
11 Ethics and Security in Networked Cyber-physical Systems and the Internet, Lecture (2 hours), Tutorial (1 hour) Wattle Quiz 11, Assignment Submission due on Wattle, Computing Lab Exam Mark released on Wattle
12 Ethics and Security in Networked Cyber-physical Systems and the Internet, Lecture (2 hours), Tutorial (1 hour) Wattle Quiz 12
13 Examination Period Assignment Mark Released on Wattle, Final Exam (3 hours)

Tutorial Registration

See the COMP2410/COM6340 webpage on ANU Wattle for details.

Assessment Summary

Assessment task Value Learning Outcomes
Online Quizzes 5 % Online Quizzes, L1-L5
Computing Lab Exam 5 % Computing Lab Exam, L5
Mid-term Exam 20 % Mid-Term Exam, L1-L5
Group Assignment 20 % Group Assignment, L1-L4
Final Exam 50 % Final Exam, L1-L5

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines , which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Integrity Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Examination(s)

See above.

Assessment Task 1

Value: 5 %
Learning Outcomes: Online Quizzes, L1-L5

Online Quizzes

Online Quizzes (from 0 to 5 marks, individual assessment item): Twelve quizzes (up to 20 min each) on Wattle relevant to each week’s learning objectives. Given quizzes can be done anytime over the week via Wattle, no late submission of quizzes will be excepted. Each quiz will consist of 10 questions and be marked as a percentage of correct answers. This will result in quiz marks q1, q2, q3, … , q12. The overall quiz mark Q will be derived by macro-averaging these twelve marks as follows: Q = (q1 + … + q12) / 12. Q will then be weighted to form the maximum of 5 marks. Good understanding of all learning objectives will be typically marked as 3.5/5 (70%).


Assessment Task 2

Value: 5 %
Learning Outcomes: Computing Lab Exam, L5

Computing Lab Exam

Computing Lab Exam (from 0 to 5 marks, individual assessment item): As part of the Week 9 online live computing labs, a lab exam will take place. Good understanding of all learning objectives will be typically marked as 3.5/5 (70%).

Assessment Task 3

Value: 20 %
Learning Outcomes: Mid-Term Exam, L1-L5

Mid-term Exam

Mid-term Exam (from 0 to 20 marks): Will be will an individual “open book” online exam and address all learning objectives. Good understanding of all learning objectives will be typically marked as 14/20 (70%) in the mid-term exam.

Assessment Task 4

Value: 20 %
Learning Outcomes: Group Assignment, L1-L4

Group Assignment

  • This group assignment will be specified on Wattle on Week 6. The groups of 5 students must be formed by Week 7 on Wattle.
  • A report and video that document the assignment, and perhaps code, are due by the end of Week 11.
  • Appropriate referencing will be required. Please follow the Harvard style. 
  • The assignment will address learning objectives L1-L4.
  • The assignment will be marked out of 20 and based both on delivery and content. A correct and comprehensive assignment with concise and clear documentation will be typically marked as 14/20 (70%). 
  • Assignments will submitted using the unit Wattle site by the end of Week 11. Each submitting student will be required to press a submit button to electronically sign a declaration of their submission on behalf of the entire student group.

Assessment Task 5

Value: 50 %
Learning Outcomes: Final Exam, L1-L5

Final Exam

Final Exam (from 0 to 50 marks): Will be will an individual “open book” online exam and address all learning objectives. Good understanding of all learning objectives will be typically marked as 20/50 (70%) in the mid-term exam.

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly, responsibly and ethically, and with respect and fairness, in scholarly practice.


The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualifications.


The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.

 

The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as well as understanding and upholding academic integrity.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) submission must be through Turnitin.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

Individual assessment tasks may or may not allow for late submission. Policy regarding late submission is detailed below:

  • Late submission not permitted. If submission of assessment tasks without an extension after the due date is not permitted, a mark of 0 will be awarded.
  • Late submission permitted. Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.

Referencing Requirements

The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing requirements for different disciplines. There is also information on Plagiarism and different ways to use source material.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

AsPr Hanna Suominen
+61431913826
U4872279@anu.edu.au

Research Interests


Deep Learning, Educational Technology, Health Informatics, Machine Learning, Natural Language Processing, Performance Evaluation

AsPr Hanna Suominen

By Appointment
Mindika Premachandra
mindika.premachandra@anu.edu.au

Research Interests


Mindika Premachandra

By Appointment

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions