CE706-7-SP-CO:
Information Retrieval

The details
2021/22
Computer Science and Electronic Engineering (School of)
Colchester Campus
Spring
Postgraduate: Level 7
Current
Monday 17 January 2022
Friday 25 March 2022
15
09 September 2021

 

Requisites for this module
(none)
(none)
(none)
CE306

 

(none)

Key module for

MSC G51512 Big Data and Text Analytics

Module description

Search engines have become the first entry point into a world of knowledge and they form an essential part of many modern computer applications. While much of the underlying principles have been developed over decades, the landscape in search engine technology has changed dramatically in recent years to deal with data sources magnitudes larger than ever before (the rise of `big data`).

As a result of that new paradigms for storing, indexing and accessing information have emerged. This module will provide the essential foundations of information retrieval and equip the students with solid, applicable knowledge of state-of-the-art search technology. Students will write computer programs to solve IR tasks.

The module assumes a reasonable programming background and is not suitable for students without prior programming experience.

Module aims

The aim of the module is to provide the essential foundations of information retrieval and equip the students with solid, applicable knowledge of state-of-the-art search technology. Through directed reading and via practical assignments the module also exposes students to a variety of advanced information retrieval techniques.

Module learning outcomes

After completing this module, students will be expected to be able to:

1. Design and implement a standard information retrieval system
2. Understand standard IR models and their merits and limitations
3. Demonstrate practical knowledge of developing large-scale search applications
4. Demonstrate practical knowledge of employing state-of-the-art open source software for IR
5. Demonstrate an understanding of commonly used evaluation approaches in IR
6. Demonstrate practical knowledge of employing advanced concepts of search applications

Module information

The module assumes a reasonable programming background and is not suitable for students without prior programming experience.

Learning and teaching methods

Lectures, lab sessions and classes

Bibliography

This module does not appear to have a published bibliography for this year.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Coursework   Assignment 1    40% 
Coursework   Assignment 2    60% 

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

Coursework Exam
100% 0%

Reassessment

Coursework Exam
100% 0%
Module supervisor and teaching staff
Mr Juntao Yu, email: j.yu@essex.ac.uk.
Mr Juntao Yu
School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770

 

Availability
Yes
No
Yes

External examiner

Dr Robert Mark Stevenson
University of Sheffield
Senior Lecturer
Prof Raouf Hamzaoui
De Montfort University
Dr MARJORY CRISTIANY Da COSTA ABREU
Sheffield Hallam University
Senior Lecturer
Resources
Available via Moodle
Of 1125 hours, 30 (2.7%) hours available to students:
1095 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information

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