Course image GLG 3164: Introduction to Research Methodology
Trimester 1

Greetings

Dear Students,

Welcome to the Course of Introduction to Research Methodology (GLG3164)

Brief description of aims and content

This module aims at equipping students with basic skills and tools for conducting research.  It provides a basic and advanced understanding of statistical analysis; to develop a working knowledge of appropriate statistical software; to be introduced to the key skills needed to prepare for and undertake a piece of research. The module will also cover analytical techniques, experimental design, sampling, simple statistical models and probability, descriptive Statistics and Probability distributions, etc.

Learning Outcomes

On completion of this module, students should be able to demonstrate knowledge and understanding of:

1. Research methods and evaluation of appropriate literature

2. Statistical analysis;

3. Working knowledge of appropriate statistical software;

4. The key skills needed to prepare for and undertake a piece of research.

Indicative Content

Analytical Techniques. Experimental Design, Sampling, Simple Statistical Models and Probability; Descriptive Statistics; Probability Distributions; Combining Variables; Precision of Estimates;

Exploring Relationships Between Variables – Correlation and Regression; Exploring Differences Between Variables – Tests and Analysis of Variance; Introduction to Multivariate Analysis Techniques (Factor Analysis, Principal Components Analysis, Cluster Analysis). Software for Statistical Analysis.

Undertaking and Managing Research; Resource Management and Organization; Identifying a Research Problem and Setting Clear Objectives; Reviewing the Literature and using Electronic Databases; Methods of Collecting and Analyzing Data; Presenting Your Results; How to Appraise and Draw Sound Conclusions; Referencing; Guidelines and Structure of a Dissertation; How to Cost a Research Project. Intellectual Property Rights; Communication Skills and Report Writing.

Course Developer

Dean of SMG and Senior Lecturer: Dr. Digne RWABUHUNGU                    

Tel : +250788665258

Email: drwabuhu@gmail.com

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