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FIT5166 Information retrieval systems - Semester 2, 2014

This unit presents students with the theory and practice underlying computerised information retrieval. Topics covered include: history and context of information retrieval systems, retrieval models, Boolean, vector space and probabilistic, evaluation strategies, test collections, web search engines, indexing, content-based multimedia retrieval and relevance feedback.

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 laboratory

(b.) Additional requirements (all students):

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

Additional workload requirements

A Java Programming self-test (not marked) to ensure that students are aware of what they need to brush up on for this unit has been added for Week 1.

Unit Relationships


(FIT5131 or FIT9017) and (FIT5132 or FIT9003 or FIT9019)) or equivalent

Chief Examiner

Campus Lecturer


Grace Rumantir

Consultation hours: Wednesday 2pm-4pm



Ashishkumar Singh

Consultation hours: TBA

Yuan Jin

Consultation hours: TBA

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

At the completion of this unit students will:
  • appreciate the context and application of information retrieval systems;
  • understand the different models of information retrieval and their comparative advantages and disadvantages;
  • understand how objective and subjective evaluation strategies are used with information retrieval systems;
  • be conversant with the issues and challenges of managing very large collections of heterogeneous data for information retrieval;
  • understand how web search engines and search algorithms are constructed, utilised and deployed;
  • appreciate how to index different media;
  • understand how information retrieval systems can be used for the retrieval of audio-visual information;
  • appreciate the theoretical and practical underpinnings of relevance feedback in information retrieval systems.

Unit Schedule

Week Activities Assessment
0 This schedule is subject to change, please refer to the Lecturer for updates No formal assessment or activities are undertaken in week 0
1 Introduction There is a self-assessed test (not marked) on Java programming on Moodle that will be discussed in Week 1 tutorial. Please complete this to see if you need to do further study prior to completing this unit.
2 The Boolean Model and Simple Linguistic Analyses Quizzes and Clicker Tests will be scheduled for each week from Week 2 onwards
3 The Vector Space Model  
4 Web Search  
5 Evaluation  
6 Relevance Feedback  
7 Language Models  
8 Unit Test (during the lecture timeslot, tutorials are still on) Unit Test during Week 8 lecture (Tuesday 16 September 2014)
9 The Probabilistic Model Assignment Stage 1 due start of Week 9 lecture (Tuesday 23 September 2014)
10 Text Classification  
11 Practical IR Assignment Stage 2 due start of Week 11 lecture (Tuesday 14 October 2014)
12 Content-based Image Retrieval & Revision  
  SWOT VAC No formal assessment is undertaken in 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

Lecture and tutorials or problem classes
This teaching and learning approach helps students to initially encounter information at lectures, discuss and explore the information during tutorials, and practice in a hands-on lab environment.

Assessment Summary

Examination (2 hours): 50%; In-semester assessment: 50%

Assessment Task Value Due Date
Unit Test 20% Unit Test during Week 8 lecture (Tuesday 16 September 2014)
Assignment: Information Retrieval System Implementation 20% Assignment Stage 1 due start of Week 9 lecture (Tuesday 23 September 2014). Assignment Stage 2 due start of Week 11 lecture (Tuesday 14 October 2014)
Weekly Quizzes 5% From Week 2 onwards, each weekly quiz will be open on Wednesday at 6pm and will be closed on Monday the following week at 11.55pm
Clicker Test - Weekly Unit Preparation 5% From Week 2 onwards, during the weekly lecture timeslot
Examination 1 50% To be advised

Assessment Requirements

Assessment Policy

Assessment Tasks


  • Assessment task 1
    Unit Test
    Closed-book unit test to be conducted in the lecture time slot in Week 8.
    Criteria for assessment:
    Correct answers to questions, and quality of solutions to problems, which demonstrates understanding of the learning materials. Further detail of the format and coverage of the unit test will be made available on Moodle.
    Due date:
    Unit Test during Week 8 lecture (Tuesday 16 September 2014)
    The unit test will be conducted during the Week 8 lecture time slot. Week 8 tutorials will still run as per normal.
  • Assessment task 2
    Assignment: Information Retrieval System Implementation
    Implement a vector-space based information indexing and retrieval system. The system must be written in Java. More detailed specifications will be provided in Week 5.
    Criteria for assessment:

    The degree to which the assignment implementation meets the requires specifications. Further assessment criteria and marking sheet will be made available on the unit Moodle site. The assignment has 2 stages: Stage 1: Write up of problem definition and the plan on how to program will be implemented and tested (non assessable). Stage 2: Submission (20%)

    Due date:
    Assignment Stage 1 due start of Week 9 lecture (Tuesday 23 September 2014). Assignment Stage 2 due start of Week 11 lecture (Tuesday 14 October 2014)
    Both stages of the assignment are to be submitted at the start of the lecture of the week they are due. Penalty for late submission applies.
  • Assessment task 3
    Weekly Quizzes
    Starting from Week 2, there will be 9 weekly quizzes of 10 Multiple Choice Questions each on Moodle.
    Criteria for assessment:

    Correct anwer to each question in each quiz.  There is no penalty mark for wrong answer.

    Due date:
    From Week 2 onwards, each weekly quiz will be open on Wednesday at 6pm and will be closed on Monday the following week at 11.55pm
  • Assessment task 4
    Clicker Test - Weekly Unit Preparation
    Students will be asked to read from a reading list for each week and there will be Multiple Choice Questions during the lecture that students will submit the answers to using their clickers.  Further information on this assessment task will be given in Week 1 lecture.
    Criteria for assessment:
    Submission of each answer is to be done via a clicker registered to each student during the lecture timeslot. So, this means students will need to attend the weekly lecture to submit their answers.
    Due date:
    From Week 2 onwards, during the weekly lecture timeslot


  • Examination 1
    2 hours
    Type (open/closed book):
    Closed book
    Electronic devices allowed in the exam:
    Scientific Calculators

Learning resources

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

Faculty of Information Technology Style Guide

Feedback to you

Examination/other end-of-semester assessment feedback may take the form of feedback classes, provision of sample answers or other group feedback after official results have been published. Please check with your lecturer on the feedback provided and take advantage of this prior to requesting individual consultations with staff. If your unit has an examination, you may request to view your examination script booklet, see http://intranet.monash.edu.au/infotech/resources/students/procedures/request-to-view-exam-scripts.html

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

  • Informal feedback on progress in labs/tutes
  • Graded assignments with comments
  • Test results and feedback
  • Quiz results

Extensions and penalties

Returning assignments

Referencing requirements

Referencing should follow the IEEE style.

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 online quiz). 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.

Technological Requirements

From Week 2 onwards, students are to bring a registered clicker to the lecture.

Recommended Resources

Recommended reading will be provided during the lectures as appropriate.

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

Key educational policies include:

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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