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FIT5141 Advanced topics in information technology - Semester 1, 2015

This unit consists of a number of seminars, the content of which will cover emerging information and communication technologies. Students will be required to undertake analytical research on particular technologies and present on recent developments.

Mode of Delivery

Caulfield (Day)

Workload Requirements

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • Two hours of lectures
  • One 2-hour tutorial

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing tutorial and project work, private study and revision.

See also Unit timetable information

Chief Examiner

Campus Lecturer


Ariel Liebman

Your feedback to Us

Monash is committed to excellence in education and regularly seeks feedback from students, employers and staff. One of the key formal ways students have to provide feedback is through the Student Evaluation of Teaching and Units (SETU) survey. The University’s student evaluation policy requires that every unit is evaluated each year. Students are strongly encouraged to complete the surveys. The feedback is anonymous and provides the Faculty with evidence of aspects that students are satisfied and areas for improvement.

For more information on Monash’s educational strategy, see:

www.monash.edu.au/about/monash-directions/ and on student evaluations, see: www.policy.monash.edu/policy-bank/academic/education/quality/student-evaluation-policy.html

Academic Overview

Learning Outcomes

On completion of this unit, students will be able to:
  • critically analyse a range of recent developments in information technology;
  • develop high level understanding of emerging information technologies;
  • persuasively argue cases for and against the adoption of new information technologies under a range of circumstances.

Unit Schedule

Week Activities Assessment
0 You may wish to use week 0 (Orientation week) to start looking at R (http://www.r-project.org) if you have not used it before. Note that in week 1 there will be an introduction to the unit, and that the schedule below is subject to change. For example, not all topics may have 2 seminars. No formal assessment or activities are undertaken in week 0
1 Introduction to Advanced Topics in Information Technology  
2 Logistics/Transport I  
3 Logistics/Transport II - Industry Guest Lecturer  
4 Power and Energy I Assignment 1 due end of Week 4
5 Power and Energy II - Industry Guest Lecturer  
6 Banking and Finance I Assignment 2 due end of Week 6
7 Banking and Finance II - Industry Guest Lecturer  
8 Security I  
9 Security II  
10 Systems Biology I  
11 Complex Systems I  
12 Complex Systems II Assignment 3 due end of Week 12
  SWOT VAC No formal assessment is undertaken during SWOT VAC
  Examination period LINK to Assessment Policy: http://policy.monash.edu.au/policy-bank/

*Unit Schedule details will be maintained and communicated to you via your learning system.

Teaching Approach

  • Seminar
    Seminars will be research-oriented and will be presented by various guest speakers from academia and from industry.  
  • Laboratory-based classes
    Labs will be where students work on practical coding for visualisation, simulation, optimisation, machine learning etc.

Assessment Summary

In-semester assessment: 100%

Assessment Task Value Due Date
Assignment 1 30% End of Week 4
Assignment 2 20% End of Week 6
Assignment 3 50% End of Week 12

Assessment Requirements

Assessment Policy

Assessment Tasks


Students will be expected to participate in seminars (by asking questions and joining discussion).

  • Assessment task 1
    Assignment 1
    Discussion of an initial set of papers provided and construction of a mindmap that shows thematic links between papers. This discussion will include class participation during relevant tutorials.

    Review and critical analysis of recent developments in IT in particular focussing on areas related to data management and storage, analytics, optimisation and visualisation.  

    Critically analyse approaches and techniques used to manage the types of data provided in the data sets for use in the assignments in this unit.

    Select dataset for use in Assignments 2-3 and identify a relevant problem statement develop a plan to address this problem by information and knowledge extracted through appropriate analysis of the data, and develop a project plan and requirement analysis which will guide process of completing the assignments
    Criteria for assessment:
    • Quality of critical analysis in report
    • Appropriate language
    • Comprehensiveness of problem statement and applicability to dataset
    • Quality of participation in discussion in tutorial class
    • Any extra assessment criteria will be communicated to you in class
    Due date:
    End of Week 4
  • Assessment task 2
    Assignment 2
    Implement a storage solution for dataset selected in Assignment 1.
    Criteria for assessment:
    • Quality of consideration of factors affecting implementation of storage solution
    • Quality of projected performance of storage solution
    • Any extra assessment criteria will be communicated to you in class
    Due date:
    End of Week 6
  • Assessment task 3
    Assignment 3
    This assignment requires the student to apply data analytics techniques to extract information and knowledge from the data set selected in assignments. In addition the students will develop and implement comprehensive state of the art visualisation of the data provided and data analyses performed.
    Criteria for assessment:
    • Description and justification of analysis techniques used
    • Quality of data analysis
    • Innovation in proposed visualisation technique
    • Any extra assessment criteria will be communicated to you in class
    Due date:
    End of Week 12

Learning resources

Monash Library Unit Reading List (if applicable to the unit)

Feedback to you

Types of feedback you can expect to receive in this unit are:

  • Informal feedback on progress in labs/tutes
  • Graded assignments with comments

Extensions and penalties

Returning assignments

Assignment submission

It is a University requirement (http://www.policy.monash.edu/policy-bank/academic/education/conduct/student-academic-integrity-managing-plagiarism-collusion-procedures.html) for students to submit an assignment coversheet for each assessment item. Faculty Assignment coversheets can be found at http://www.infotech.monash.edu.au/resources/student/forms/. Please check with your Lecturer on the submission method for your assignment coversheet (e.g. attach a file to the online assignment submission, hand-in a hard copy, or use an electronic submission). Please note that it is your responsibility to retain copies of your assessments.

Online submission

If Electronic Submission has been approved for your unit, please submit your work via the learning system for this unit, which you can access via links in the my.monash portal.

Other Information


Monash has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and to provide advice on how they might uphold them. You can find Monash’s Education Policies at: www.policy.monash.edu.au/policy-bank/academic/education/index.html

Faculty resources and policies

Important student resources including Faculty policies are located at http://intranet.monash.edu.au/infotech/resources/students/

Graduate Attributes Policy

Student Charter

Student services

Monash University Library

Disability Liaison Unit

Students who have a disability or medical condition are welcome to contact the Disability Liaison Unit to discuss academic support services. Disability Liaison Officers (DLOs) visit all Victorian campuses on a regular basis.

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