Information Retrieval (M) COMPSCI5011

  • Academic Session: 2016-17
  • School: School of Computing Science
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 2
  • Available to Visiting Students: No
  • Available to Erasmus Students: No

Short Description

To present students with an in-depth examination of the theoretical and practical issues involved in providing tools to access large collections of documents, especially in the context of the World Wide Web.

To present students with the practical engineering issues raised by the design and implementation of an information retrieval system.

Timetable

3 hours per week

Requirements of Entry

For MSc students - Honours degree in Computing Science.

For MSci students - fourth year Computing Science.

Excluded Courses

Information Retrieval (H) 

Co-requisites

None

Assessment

Examination 80%, coursework 20%.

Main Assessment In: April/May

Are reassessment opportunities available for all summative assessments? No

Reassessments are normally available for all courses, except those which contribute to the Honours classification. For non Honours courses, students are offered reassessment in all or any of the components of assessment if the satisfactory (threshold) grade for the overall course is not achieved at the first attempt. This is normally grade D3 for undergraduate students and grade C3 for postgraduate students. Exceptionally it may not be possible to offer reassessment of some coursework items, in which case the mark achieved at the first attempt will be counted towards the final course grade. Any such exceptions for this course are described below. 

 

Resit examinations ARE NOT ALLOWED for Honours students

Resit examinations ARE ALLOWED for Masters students

 

The coursework cannot be redone because the feedback provided to the students after the original coursework would give any students redoing the coursework an unfair advantage. It is impossible to generate an equivalent piece of coursework which replicates the original one because of the follow-up work which was done subsequent to the original submission and based on feedback given.

Course Aims

To present students with an in-depth examination of the theoretical and practical issues involved in providing tools to access large collections of documents, especially in the context of the World Wide Web.

To present students with the practical engineering issues raised by the design and implementation of an information retrieval system.

Intended Learning Outcomes of Course

By the end of the course students will be able to:

1. Implement a standard information retrieval (IR) system;

2. Discuss the theoretical basis behind the standard models of IR (e.g. Boolean, Vector-space, and Probabilistic models);

3. Discuss how an IR system should be evaluated in terms of the system's performance and the user's satisfaction with the system;

4. Understand the concepts behind the different retrieval models;

5. Understand the techniques involved in retrieving information from the World Wide Web;

6. Describe the practical engineering issues raised by the implementation of a search engine for the Web;

7. Understand issues involved in developing classification and clustering techniques;

8. Describe the techniques used in advanced applications: e.g., Microblog search; social search.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.