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Module Code - Title:

CS6081 - RESEARCH METHODS AND PRACTICE

Year Last Offered:

2025/6

Hours Per Week:

Lecture

2

Lab

1

Tutorial

0

Other

0

Private

7

Credits

6

Grading Type:

N

Prerequisite Modules:

Rationale and Purpose of the Module:

This modules serves as an introduction to the nature of research (philosophies, paradigms and theories) and the reasons for research investigations. It covers the topics of literature review, critical evaluation of research material, the subsequent identification of research questions and the full specification of these questions, in the form of a research proposal. In addition, it will give students an understanding of design research, empirical research methods, and the data collection strategies possible, grounding these students in both qualitative and quantitative traditions. The students will also be made aware of the ethical and access issues related to empirical research collaborations, in terms of data collection, data storage and data utilisation. Finally, students will be given guidance in the presentation and dissemination of research, research management, and the role of the supervisor.

Syllabus:

The following content is indicative of the content of the module: - An introduction to the nature of, and rationale for, research; - Research philosophies and theories; - Quantitative and Qualitative research; - Research methods; - Critical review and evaluation of academic material; - The process of defining and contextualizing a research question; - Research dissemination skills (oral and written); - Research ethics; - Research proposal specification; - Statistical analysis methods, including statistics; - Research management; - Regulations and the role of the supervisor;

Learning Outcomes:

Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)

On successful completion of this module, students will be able to: 1. Critically evaluate academic literature and research methodologies in software engineering by comparing philosophical approaches and assessing their suitability for specific research questions. 2. Formulate a coherent and contextually grounded research proposal that includes a clearly defined question, appropriate methodology, ethical considerations, and dissemination strategy. 3. Apply statistical analysis techniques to interpret quantitative data in software engineering research, drawing valid conclusions and identifying limitations.

Affective (Attitudes and Values)

On successful completion of this module, students will be able to: 1. Engage constructively in peer review and collaborative research activities, showing respect for diverse viewpoints and providing thoughtful, evidence-based feedback. 2. Engage constructively in peer review and collaborative research activities, showing respect for diverse viewpoints and providing thoughtful, evidence-based feedback. 3. Reflect on personal learning and development by articulating how research experiences have influenced their attitudes toward inquiry, innovation, and professional responsibility.

Psychomotor (Physical Skills)

N/A

How the Module will be Taught and what will be the Learning Experiences of the Students:

The module adopts a progressively hands-on approach, where research theory and aligned methodologies are introduced through interactive lectures and reinforced via practical, in-class activities. These include literature review exercises, empirical design tasks, data analysis sessions, and dissemination practice -- all designed to immerse MSc students in authentic academic research processes. This active and problem-based learning environment is intentionally structured to align with UL's Integrated Curriculum Development Framework (ICDF). It promotes student-centered learning, encourages inquiry and reflection, and supports the development of UL's graduate attributes such as critical thinking, ethical awareness, and effective communication. The learning experience is further enriched through collaborative tasks, digital tools, and formative feedback, ensuring students engage deeply with research practice in a supportive and inclusive setting.

Research Findings Incorporated in to the Syllabus (If Relevant):

Prime Texts:

Saunders Lewis and Thornhill (2023) Research Methods for Business Students 9th Edition , Pearson
Greene and D'Oliveira (2006) Learning to use statistical tests in Psychology , Maidenhead : Open University Press

Other Relevant Texts:

J. W. Cresswell (1994) Research Design: Qualitative and Quantitative Approaches , Sage
Laurel Brenda (editor) (2003) Design Research: Methods and Perspectives , MIT Press

Programme(s) in which this Module is Offered:

MSSOENTFA - SOFTWARE ENGINEERING

Semester(s) Module is Offered:

Autumn

Module Leader:

Jim.Buckley@ul.ie