Module Details

Module Code: DATA C8Z02
Full Title: Applied Database Systems
Valid From:: Semester 1 - 2019/20 ( June 2019 )
Language of Instruction:English
Duration: 1 Semester
Credits:: 5
Module Owner:: Stephen Larkin
Departments: Unknown
Module Description: The aim of this module is to introduce students to the principles and techniques involved in creating and using relational databases. Upon completion, students will have designed and implemented a database system and carried out data manipulation and data definition statements.
 
Module Learning Outcome
On successful completion of this module the learner will be able to:
# Module Learning Outcome Description
MLO1 Design and use a relational database for storing, manipulating and querying structured data.
MLO2 Import and export data to and from a relational database.
MLO3 Evaluate the suitability of data models for a given data management requirement.
MLO4 Discuss the purpose and characteristics of big data systems and be able to design and query a document-based NoSQL database.
Pre-requisite learning
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named DkIT module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
No recommendations listed
 
Module Indicative Content
Data
What are data, data formats, use and handling of data
Database
Role of database, data types, table design and implementation
Database operations
Create, Read, update, delete.
SQL: Data Definition
Creating and managing tables, required data, views, referential integrity and general constraints.
SQL: Data Manipulation
Simple Queries, Sorting, Aggregate Functions; Grouping, Subqueries; Simple Joins; Update, Insert, Delete.
SQL: Functions
Using Character and Number functions; Data and conversion functions.
Introduction to Big Data Systems
Introduction to big data systems – cloud computing, Hadoop, MapReduce, NoSQL databases inc document-driven databases.
Module Assessment
Assessment Breakdown%
Course Work60.00%
Project40.00%
Module Special Regulation
 

Assessments

Full Time On Campus

Course Work
Assessment Type Continuous Assessment % of Total Mark 60
Marks Out Of 0 Pass Mark 0
Timing n/a Learning Outcome 1,2
Duration in minutes 0
Assessment Description
The continuous assessment component will normally consist of one practical lab-based test and two minor assessments.
Project
Assessment Type Project % of Total Mark 40
Marks Out Of 0 Pass Mark 0
Timing n/a Learning Outcome 1,2,3,4
Duration in minutes 0
Assessment Description
Data Project 2. This will form part of a joint project with Statistics using R and will involve the creation and manipulation of a relational database.
No Practical
No Final Examination

Part Time On Campus

Course Work
Assessment Type Continuous Assessment % of Total Mark 60
Marks Out Of 0 Pass Mark 0
Timing n/a Learning Outcome 1,2
Duration in minutes 0
Assessment Description
The continuous assessment component will normally consist of one practical lab-based test and two minor assessments.
Project
Assessment Type Project % of Total Mark 40
Marks Out Of 0 Pass Mark 0
Timing n/a Learning Outcome 1,2,3,4
Duration in minutes 0
Assessment Description
Data Project 2. This will form part of a joint project with Statistics using R and will involve the creation and manipulation of a relational database.
No Practical
No Final Examination
Reassessment Requirement
No repeat examination
Reassessment of this module will be offered solely on the basis of coursework and a repeat examination will not be offered.

DKIT reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time On Campus
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact No Description Every Week 3.00 3
Directed Reading Non Contact No Description Every Week 2.00 2
Independent Study Non Contact No Description Every Week 3.00 3
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 3.00
Workload: Part Time On Campus
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Practical Contact   Every Week 3.00 3
Directed Reading Non Contact   Every Week 2.00 2
Independent Study Non Contact   Every Week 3.00 3
Total Weekly Learner Workload 8.00
Total Weekly Contact Hours 3.00
 
Module Resources
Recommended Book Resources
  • Connolly, Thomas & Begg, Carolyn. (2015), Database Systems, 6th. Pearson, [ISBN: 0132943263].
Supplementary Book Resources
  • Joel Murach. (2015), Murach's MySQL, 2nd. Mike Murach & Associates, [ISBN: 1890774820].
  • Andrew Comeau. (2015), MySQL Explained: Your Step-by-Step Guide, OSTraining, [ISBN: 151942437X].
  • Stephen Morris, Peter Rob, Carlos Coronel, Keeley Crocket. (2013), Database Principles: Fundamentals of Design, Implementations and Management, 2nd. Cengage Learning, Inc, [ISBN: 140806636X].
This module does not have any article/paper resources
Other Resources