MA332-7-AU-CO:
Databases and data processing with SQL

The details
2021/22
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 07 October 2021
Friday 17 December 2021
15
14 July 2021

 

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

 

(none)

Key module for

MSC G30512 Applied Data Science,
MSC G30524 Applied Data Science,
MSC G30612 Data Science and its Applications,
MSC G30624 Data Science and its Applications

Module description

Relational databases and SQL are developed and used as a fundamental tool for relevant applications from different disciplines including humanities, life sciences, linguistics, marketing and social science. They are essential to the efficient information management for IT systems and commercial applications in almost all modern organisations.

The purpose of this module is to provide students with an introduction to the underlying principles and practical experience of the design and implementation of relational databases. It will cover the data modelling and SQL, database analysis, design and management, and advanced topics including big data, security and privacy issues of modern databases.

Module aims

To provide students with an introduction to the underlying principles and practical experience of the design and implementation of relational databases.

Module learning outcomes

A. A systematic, extensive and comparative knowledge and understanding of conceptual data models, relational databases and database designs
B. A comprehensive knowledge and familiarity with SQL to manipulate data in a database
C. A systematic, extensive and comparative knowledge and understanding of the ability to design and to implement a database using SQL and DBMS

Module information

Introduction to Database and SQL
Background; database environment and examples; Database architecture;
Database programming; SQL

Relational Model and SQL
Relational Database Model; SQL SELECT Queries, Creating Table, Altering
Table, Data Manipulation

Database analysis, design and management
Entity Relationship Diagrams; Normalisation of Database Tables; Database Design;
Database construction and application; Database management via DBMS

Advanced topics
Distributed DBMS; big data issues; security and privacy of databases; introduction to NonSQL databases with linguistics and text analytics applications.

Learning and teaching methods

Lectures, Classes, Labs

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   SQL Lab Test    40% 
Coursework   Application Lab Test    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
Dr Fanlin Meng, email: fanlin.meng@essex.ac.uk.
Dr Jingjing Zhang & Dr Dongjiao Ge
Dr Jingjing Zhang, Dr Dongjiao Ge (dongjiao.ge@essex.ac.uk)

 

Availability
Yes
Yes
Yes

External examiner

Prof Fionn Murtagh
University of Huddersfield
Professor of Data Science
Dr Yinghui Wei
University of Plymouth
Resources
Available via Moodle
Of 65 hours, 54 (83.1%) hours available to students:
7 hours not recorded due to service coverage or fault;
4 hours not recorded due to opt-out by lecturer(s), module, or event type.

 

Further information
Mathematics, Statistics and Actuarial Science (School of)

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