Differential geometry is a Mathematical discipline that uses tools, techniques of differential calculus, integral calculus, linear algebra and multilinear algebra to study problems in geometry
This module covers topics in time series analysis and some statistical techniques on forecasting, such as time series regression, decomposition methods, exponential smoothing and Box-Jenkins forecasting methodology.
The main aim of the module is to equip students with various forecasting techniques and knowledge on modern statistical methods for analyzing time series data.
The idea is to give students broad knowledge on statistics produced by National Institute of Statistics of Rwanda (NISR) which are not covered in Demographics statistics course.
This module is an evolving branch of Mathematics and its applications. It is very useful Applications in Fluid Dynamics, Electrical Network Analysis and Coupled Oscillators and their stability analysis.
This module provides a basic understanding of the theory and practice of research. It describes both the qualitative and quantitative methods in scientific research. It differentiates the types of research (strategic, applied and fundamental) and their respective associated designs. The module starts with the philosophical meaning of research , then objectives of research, motivation of research, research approaches and significance of research. Finally all the process of research starting from Problem identification and formulation to interpretation of results and report are described.