CE706-7-SP-CO:
Information Retrieval

The details
2019/20
Computer Science and Electronic Engineering (School of)
Colchester Campus
Spring
Postgraduate: Level 7
Current
Monday 13 January 2020
Friday 20 March 2020
15
28 August 2019

 

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

 

(none)

Key module for

MSC G51512 Big Data and Text Analytics,
MSC G30412 Data Science,
MSC G30424 Data Science,
MSC G304PP Data Science with Professional Placement

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.

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:

- Design and implement a standard information retrieval system
- Understand standard IR models and their merits and limitations
- Demonstrate practical knowledge of developing large-scale search applications
- Demonstrate practical knowledge of employing state-of-the-art open source software for IR
- Demonstrate an understanding of commonly used evaluation approaches in IR
- Demonstrate practical knowledge of employing advanced concepts of search applications such as personalisation, profiling and contextual search

Module information

No additional information available.

Learning and teaching methods

Lectures, lab sessions and classes

Bibliography

  • Croft, W. Bruce; Metzler, Donald; Strohman, Trevor. (c2010) Search engines: information retrieval in practice, Boston: Pearson Education.

The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students. Further reading can be obtained from this module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework Assignment 1 21/02/2020 50%
Coursework Assignment 2 20/03/2020 50%
Exam 120 minutes during Summer (Main Period) (Main)

Overall assessment

Coursework Exam
40% 60%

Reassessment

Coursework Exam
40% 60%
Module supervisor and teaching staff
School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770

 

Availability
Yes
Yes
No

External examiner

Dr Robert Mark Stevenson
Senior Lecturer
Resources
Available via Moodle
Of 55 hours, 25 (45.5%) hours available to students:
30 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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