[an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]
[an error occurred while processing this directive]

FIT5166 Information retrieval systems - Semester 2, 2012

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)

Contact Hours

2 hrs lectures/wk, 2 hrs laboratories/wk

Workload

Students will be expected to spend up to a total of 12 hours per week during semester on this unit as follows:·

  • Watching video presentations - up to 1 hour/week·
  • Discussion and participation in class - 2 hours/week·
  • Tutorial Sessions: up to 2 hours per week per tutorial at discretion of student
  • Assignment work

Chief Examiner

Campus Lecturer

Caulfield

Campbell Wilson

Tutors

Caulfield

Michael Niemann

Viranga Ratnaike

Shan He (Dora)

Academic Overview

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.

Graduate Attributes

Monash prepares its graduates to be:
  1. responsible and effective global citizens who:
    1. engage in an internationalised world
    2. exhibit cross-cultural competence
    3. demonstrate ethical values
  2. critical and creative scholars who:
    1. produce innovative solutions to problems
    2. apply research skills to a range of challenges
    3. communicate perceptively and effectively

Assessment Summary

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

Assessment Task Value Due Date
Assignment 1 - Hello World 1% Week 1
Assignment 2 - Tokenization 4% Week 3
Assignment 3 - Constructing an inverted index 6% Week 5
Assignment 4 - Vector space retrieval 6% Week 7
Report 23% Week 10
Presentation 10% Week 11
Examination 1 50% To be advised

Teaching Approach

Lecture and tutorials or problem classes
We are hoping to supplement lectures with video presentations and subsequent discussion.  

Feedback

Our feedback to You

Types of feedback you can expect to receive in this unit are:
  • Informal feedback on progress in labs/tutes
  • Graded assignments without comments
  • Interviews
  • Quiz results

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 SETU, Student Evaluation of Teacher and Unit. 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, and on student evaluations, see:
http://www.monash.edu.au/about/monash-directions/directions.html
http://www.policy.monash.edu/policy-bank/academic/education/quality/student-evaluation-policy.html

Previous Student Evaluations of this unit

The following lists changes that have been made to the unit.    Some of these have been made in response to student feedback, however due to the University's requirements for confidentiality, this feedback is not allowed to be included in the unit guide.   Hence some of these improvements will lack context:

Improvements made:

- Demonstration videos will be provided so students can look at material at their own pace.

- Code templates provided for programming assignments and marking criteria modified.

- Unit is available in the Intelligent Systems specialisation

- Assignment deadlines do not co-occur

- Revision classes have been removed

- Modified material on multimedia IR

- Programming assignment specifications simplified



If you wish to view how previous students rated this unit, please go to
https://emuapps.monash.edu.au/unitevaluations/index.jsp

Recommended Resources

Recommended reading will be provided during the lectures as appropriate.

Unit Schedule

Week Activities Assessment
0 This schedule is subject to change, please refer to the Lecturer for updates Assessment due dates may be subject to change. Any changes will be communicated to you by the Lecturer.
1 Introduction Assignment 1 (Hello World) due
2 Indexing, lexical analyses and the Boolean model  
3 Vector space model Assignment 2 (Tokenizing) due
4 Content-based image retrieval (CBIR) I  
5 Vector space model II Assignment 3 (Indexing) due
6 Web search  
7 Probabilistic models: Language and topic models Assignment 4 (Vector Space) due
8 Relevance feedback and text classification  
9 CBIR II and multimedia retrieval  
10 Advanced topics Report due
11 Discussion class Presentations
12 Evaluation Presentations
  SWOT VAC  
  Examination period LINK to Assessment Policy: http://policy.monash.edu.au/policy-bank/
academic/education/assessment/
assessment-in-coursework-policy.html

*Unit Schedule details will be maintained and communicated to you via your MUSO (Blackboard or Moodle) learning system.

Assessment Requirements

Assessment Policy

Faculty Policy - Unit Assessment Hurdles (http://www.infotech.monash.edu.au/resources/staff/edgov/policies/assessment-examinations/unit-assessment-hurdles.html)

Academic Integrity - Please see the Demystifying Citing and Referencing tutorial at http://lib.monash.edu/tutorials/citing/

Assessment Tasks

Participation

Please ask lots of questions during lectures and tutorials.   You won't be assessed on the quality of your questions, but you will get a lot more out of the unit!

  • Assessment task 1
    Title:
    Assignment 1 - Hello World
    Description:
    Can I follow instructions?  :)
    Weighting:
    1%
    Criteria for assessment:

    Assignment is graded by a computer program, which measures correlation between student answers and expected results.  The point of this assignment is for students to familiarize students with the submission system used in the unit. They therefore are expected to complete this task in order to proceed in the unit. The submission system will be set up as such.

    Note: special exemptions for people who join the subject late (within the normal first two week enrolment period) will be put in place.

    Due date:
    Week 1
  • Assessment task 2
    Title:
    Assignment 2 - Tokenization
    Description:
    Tokenization of text.
    Weighting:
    4%
    Criteria for assessment:

    Assignment is graded by a computer program, which measures correlation between student answers and expected results.

    Due date:
    Week 3
  • Assessment task 3
    Title:
    Assignment 3 - Constructing an inverted index
    Description:
    Constructing an inverted index.
    Weighting:
    6%
    Criteria for assessment:

    Assignment is graded by a computer program, which measures correlation between student answers and expected results.

    Due date:
    Week 5
  • Assessment task 4
    Title:
    Assignment 4 - Vector space retrieval
    Description:
    Building a vector space retrieval engine. 
    Weighting:
    6%
    Criteria for assessment:

    Assignment is graded by a computer program, which measures correlation between
    student answers and expected results. 

    Due date:
    Week 7
  • Assessment task 5
    Title:
    Report
    Description:
    A 3,000 word report on a research topic related to information retrieval.
    Weighting:
    23%
    Criteria for assessment:

    The report will be assesed on the usual criteria, namely:  breadth of literature survey, quality of analysis of literature, and topicality.    Appropriate use of the English language will be required.

    Due date:
    Week 10
  • Assessment task 6
    Title:
    Presentation
    Description:
    Presentation of research report and taking of questions.
    Weighting:
    10%
    Criteria for assessment:

    Quality of presentation and quality of response to questions

    Due date:
    Week 11

Examinations

  • Examination 1
    Weighting:
    50%
    Length:
    2 hours
    Type (open/closed book):
    Closed book
    Electronic devices allowed in the exam:
    None

Assignment submission

It is a University requirement (http://www.policy.monash.edu/policy-bank/academic/education/conduct/plagiarism-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).

Online submission

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

Extensions and penalties

Returning assignments

Resubmission of assignments

Students may resubmit assignments 1, 2, 3 and 4 any number of times before the due date.

Referencing requirements

Referencing should follow the IEEE style.

Other Information

Policies

Student services

The University provides many different kinds of support services for you. Contact your tutor if you need advice and see the range of services available at www.monash.edu.au/students. For Sunway see http://www.monash.edu.my/Student-services, and for South Africa see http://www.monash.ac.za/current/

The Monash University Library provides a range of services and resources that enable you to save time and be more effective in your learning and research. Go to http://www.lib.monash.edu.au or the library tab in my.monash portal for more information. At Sunway, visit the Library and Learning Commons at http://www.lib.monash.edu.my/. At South Africa visit http://www.lib.monash.ac.za/.

Academic support services may be available for students who have a disability or medical condition. Registration with the Disability Liaison Unit is required. Further information is available as follows:

  • Website: http://monash.edu/equity-diversity/disability/index.html;
  • Email: dlu@monash.edu
  • Drop In: Equity and Diversity Centre, Level 1 Gallery Building (Building 55), Monash University, Clayton Campus, or Student Community Services Department, Level 2, Building 2, Monash University, Sunway Campus
  • Telephone: 03 9905 5704, or contact the Student Advisor, Student Commuity Services at 03 55146018 at Sunway

Other

Note: We are trialling a new approach in this unit, whereby lectures may be supplemented by video presentations, which will be discussed in the class time.  

Note: Damocles (a plagiarism detection system) will be employed for the research report submission.

[an error occurred while processing this directive]