Module Code: H8DPR
Long Title Project
Title Project
Module Level: LEVEL 8
EQF Level: 6
EHEA Level: First Cycle
Credits: 10
Module Coordinator: EUGENE O'LOUGHLIN
Module Author: EUGENE O'LOUGHLIN
Departments: School of Computing
Specifications of the qualifications and experience required of staff  
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Specify, design, implement, test, communicate and document a small to medium scale analysis of a large data set
LO2 Explain and justify the use and application of state of the art analytics tools in a data analysis scenario
LO3 Employ appropriate research methods to guide the analysis of data from the web
LO4 Assess the ethical and social impact of information systems
LO5 Carry out project planning, scheduling and risk management activities in order to meet strict project deadlines and perform time management activities to a high project management standard
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
19341 H8IDA Introduction to Data Analytics
19342 H8BAPST Business Analysis and Problem-Solving Techniques
19343 H8BDA1 Business Data Analysis
Co-requisite Modules
No Co-requisite modules listed
Entry requirements  
 

Module Content & Assessment

Indicative Content
Project
A practical data analysis project is undertaken. The project must use state-of-the-art data analytics technologies, and learners will be expected to develop specialist skills for this project beyond those covered in the core modules. The project specification is decided by the learner. The main project phases which are assessed separately include: • project proposal • requirements specification • preliminary report • dissertation • final presentation In the beginning of the Semester learners attend classes, consultations and seminars on issues including requirements elicitation using use cases, research methods, and problem-solving techniques. In the mid of the Semester, learners submit a preliminary report outlining their progress to date and demonstrating that the main technical difficulties have been solved. At the end of the Semester, learners will present their findings in both a written dissertation and formal presentation to a panel of data analysts
Assessment Breakdown%
Coursework100.00%

Assessments

Full Time

Coursework
Assessment Type: Project % of total: 100
Assessment Date: n/a Outcome addressed: 1,2,3,4,5
Non-Marked: No
Assessment Description:
Project Proposal 10% Requirement Specification 10% Management Progress Reports 10% Preliminary Presentation 20% Dissertation and presentation 70% Project showcase 5% Assessment Total 100%
No End of Module Assessment
No Workplace Assessment

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

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 3 Every Week 3.00
Tutorial No Description 1 Every Week 1.00
Total Weekly Contact Hours 4.00
 

Module Resources

Recommended Book Resources
  • Derek Swetnam. Writing Your Dissertation: How to Plan, Prepare and Present Successful Work, How to Books, [ISBN: 185703662X].
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: