Module Code: H9PRAC
Long Title Practicum
Title Practicum
Module Level: LEVEL 9
EQF Level: 7
EHEA Level: Second Cycle
Credits: 30
Module Coordinator: Arghir Moldovan
Module Author: Arghir Moldovan
Departments: School of Computing
Specifications of the qualifications and experience required of staff

PhD/Master’s degree in a computing or cognate discipline. May have industry experience also.

Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Propose a research question, project objectives and methodology.
LO2 Analyse, synthesise, and critically evaluate the state of the art.
LO3 Propose, architect, implement, and evaluate an ICT solution related to the programme area.
LO4 Investigate potential future research and invention disclosures.
LO5 Present and defend the project findings through a viva, artefact/product demo, and report.
LO6 Understand the ethical issues that need to be addressed when conducting research.
LO7 Demonstrate initiative whilst working alone or part of a team, and appropriate communication and interpersonal skills.
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).

No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Entry requirements

Programme entry requirements must be satisfied.

 

Module Content & Assessment

Indicative Content
Research Questions and Literature Review and Novel Contribution
• Structure and purpose of a literature review • Search tools and sources • Selecting and coping with literature • Identifying novel contribution
Scientific Methodology, Research Questions and Literature Review
• Exploring different research methodologies and assessing the context for these research methodologies • Formulating a research question • Ethics in research
Computing Community and Resources
• The research community and their major platforms (journals, conferences, etc) • Making use of scientific articles to make informed choices in development
Computing Practices and Project Management
• Planning software development and evaluation • User involvement • Descriptive, theory oriented and applied projects • Time and project management, making efficient use of time and resources to manage multiple tasks at the same time and reach the goals.
Academic Writing
• Proposal structure • Selection and assessing the quality of literature
Academic Writing
• Project structure • Citations and referencing
Academic Writing
• Presenting qualitative data • Presenting quantitative data
Academic Writing
• The importance of ethics and reproducibility in research
Academic Writing
• Scientific writing and style considerations • Plagiarism and self-plagiarism
Technical Information
• Reading, understanding and summarising technical material, including source code, academic articles, patents, and documentation • Writing effective technical documentation and materials
Ethics
• Ethics considerations around human participants, secondary datasets • Ethics approval process
Communication
• Dynamics of oral, written, and electronic team and group communication
Assessment Breakdown%
Coursework100.00%

Assessments

Full Time

Coursework
Assessment Type: Formative Assessment % of total: Non-Marked
Assessment Date: n/a Outcome addressed: 1,2,3,4,5,6,7
Non-Marked: Yes
Assessment Description:
Formative assessment will be provided on the in-class individual or group activities. Feedback will be provided in written or oral format, or on-line through Moodle. In addition, in class discussions will be undertaken as part of the practical approach to learning.
Assessment Type: Project % of total: 100
Assessment Date: n/a Outcome addressed: 1,2,3,4,5,6,7
Non-Marked: No
Assessment Description:
Project Proposal and Ethics Approval (10%); Project Specification and Objectives (5%); Literature Review (10%); Artefact/Product Development (30%); Artefact/Product Evaluation and Analysis (25%); Document Presentation/Structure, Referencing, and Configuration Manual (10%); Weekly Activity Report (5%); Viva (5%);
No End of Module Assessment
No Workplace Assessment
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
Reassessment Description
The repeat strategy for this module is by a project that covers all learning outcomes.

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

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Classroom and demonstrations 12 Per 12 week block 1.00
Tutorial Mentoring and small-group tutoring 36 Per 12 week block 3.00
Independent Learning Independent learning 702 Per 12 week block 58.50
Total Weekly Contact Hours 4.00
Workload: Blended
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Classroom and demonstrations 12 Per Semester 1.00
Tutorial Mentoring and small-group tutoring 24 Per Semester 2.00
Directed Learning Directed e-learning 12 Per Semester 1.00
Independent Learning Independent learning 702 Per Semester 58.50
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Classroom and demonstrations 12 Per Semester 1.00
Tutorial Mentoring and small-group tutoring 36 Per Semester 3.00
Independent Learning Independent learning 702 Per Semester 58.50
Total Weekly Contact Hours 4.00
 

Module Resources

Recommended Book Resources
  • John W. Creswell,J. David Creswell. (2022), Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 6th Ed. Sage Publications, Incorporated, [ISBN: 978-1071817940].
  • Justin Zobel. (2015), Writing for Computer Science, 3rd Edition. Springer, [ISBN: 978-1447166382].
  • Christian Dawson. (2015), Projects in Computing and Information Systems: A Student's Guide, 3rd Edition. Pearson, [ISBN: 978-1292073460].
Supplementary Book Resources
  • Gary Thomas. (2017), How to Do Your Research Project: A Guide for Students, 3rd Edition. SAGE Publications Limited, [ISBN: 978-1473948860].
  • Justin Kitzes,Daniel Turek,Fatma Deniz. (2017), The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences, Univ of California Press, p.364, [ISBN: 978-0520294745].
  • David Evans,Paul Gruba,Justin Zobel. (2014), How to Write a Better Thesis, 3rd Edition. Springer, p.167, [ISBN: 978-3319042855].
  • Diana Ridley. (2012), The Literature Review: A Step-by-Step Guide for Students, 2nd Edition. SAGE Publications, p.233, [ISBN: 978-1446201435].
This module does not have any article/paper resources
Other Resources
Discussion Note: