Lecturer
- Dr. Mutua Kilai
- Academic Block
Course details
- Every Thursday
- May 2024 - August 2024
- 4.00PM- 6.00PM
- Virtual
Schedule
The Semester runs from May to August 2024 per the Department of Pure and Applied Sciences Guidelines at Kirinyaga University
Students
The Course combines three different courses together namely:
- PhD in Pure Mathematics
- MSc. Data Science and Analytics
- MSc. Statistics
For PhD in Pure Mathematics the unit name is Computational Methods while for the other two courses the unit name is Research Methodology
Course Purpose
The purpose is to equip the learners with the mathematical knowledge and research skills in modern mathematical softwares
Learning Outcomes
By the completion of the course the learners should be able to:
PhD Pure Mathematics
- Construct proofs of different mathematical statements
- Use LaTeX document processing system to write mathematical articles
- Use Mathematical softwares to analyze mathematical models
Data Science and Statistics
- Explain basic research concepts
- Discuss relevant tools and skills in conducting research
- Explain common types of data applied in Business Research
- Write a research proposal
- Collect and Analyze data
- Write a research report
Contents
PhD Pure Mathematics
We will cover the following items and much more during the classes:
Mathematical Writing in LaTeX document processing system: cross referencing, diagram inclusion, sectioning, document classes, LaTeX packages, mathematics computation and analysis using softwares such as R, MATLAB, SAGE, GAP, Mathematica and Python.
Data Science and Statistics
Types of research, research process, Formulating a research problem, reviewing literature, identifying variables, constructing hypothesis, conceptualizing a study design, constructing instruments for data collection, selecting method of data collection, establishing validity and reliability of research instrument, processing and displaying data, writing research report, referencing.