Databases and Information Retrieval
Computer Science and Electronic Engineering (School of)
Undergraduate: Level 5
Thursday 03 October 2019
Saturday 14 December 2019
28 August 2019
Requisites for this module
BSC GH56 Information and Communication Technology,
BSC GH5P Information and Communication Technology (Including Year Abroad),
BSC I102 Information and Communication Technology (Including Placement Year),
BSC I1G3 Data Science and Analytics,
BSC I1G3CE Data Science and Analytics,
BSC I1GB Data Science and Analytics (Including Placement Year),
BSC I1GBCE Data Science and Analytics (Including Placement Year),
BSC I1GC Data Science and Analytics (Including Year Abroad),
BSC I1GF Data Science and Analytics (Including Foundation Year)
This module extends the principles of SQL database modelling laid down in the first year. It introduces the concept of NoSQL databases and compares the strengths and weaknesses of all three approaches (SQL, IR and NoSQL paradigms)
The aims of this module are to extend the principles of SQL database modelling and normalisation laid down in the first year, to describe the field of Information Retrieval, to introduce the concept of NoSQL databases and hence to compare the strengths and weaknesses of different approaches.
After completing this module, students will be expected to be able to:
1. Understand SQL database modelling and normalisation;
2. Appreciate the principles of Information Retrieval;
3. Apply and evaluate IR in a practical context;
4. Discuss differences between models such as SQL, IR and NoSQL.
SQL Database Design Principles
Entity Relationship Modelling
Modelling in a Realistic Scenario
Principles of Information Retrieval
Term Weighting Models
Word Frequency, Stemming and Stoplists
Inverted Indexing, TF*IDF and OKAPI
Implementation of Phrase and Wildcard Searches
Performance Evaluation in a Practical Task
Introduction to NoSQL Databases
Comparison of SQL, IR and NoSQL paradigms
Lectures, Labs and Classes
- Manning, Christopher D.; Raghavan, Prabhakar; Schütze, Hinrich. (2008) Introduction to information retrieval, New York: Cambridge University Press.
- Connolly, Thomas M.; Begg, Carolyn E. (©2015) Database systems: a practical approach to design, implementation and management, Harlow: Pearson Education Limited.
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
||Progress Test - Lab, Week 8
||Assignment 1 - Scenario Modelling and Database Implementation
||Assignment 2 - Information Retrieval Evaluation
||120 minutes during Summer (Main Period) (Main)
Module supervisor and teaching staff
Dr Nicos Angelopoulos, Dr Renato Amorim
CSEE School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770
Dr Jeremy Ian Hiller Gow
Available via Moodle
Of 44 hours, 28 (63.6%) hours available to students:
16 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
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