The course deals with the concepts, functions and models of leadership. Students discusses authority and power relations, its analysis and appraisal. It includes effective communication in leadership at the workplace, motivation and reward issues, dealing with workplace conflict as well as guidance and counseling in strategic leadership.
This course discusses the elements of financial and management accounting required by HRD professionals. The objective is to provide knowledge that will enhance financial decision-making and human resource development. Students are equipped with the skills in the preparation and interpretation of annual corporate reports and financial statements as well as budgeting.
This course deals with the various concepts of training and development. It discusses needs assessment, traditional and modern methods of training, employees’ development and training evaluation. In addition, training and development practices and the future of training and development will be addressed.
This course examines the origins, concepts and theories of organization development with emphasis on change management. It deals with systems, contingency, change and other related theories. Other topics discussed are organisational cultures, organisational development process and its applications in different organizational environments.
The course discusses elements in statistics in the following areas: Nature and Meaning of Statistics; Types and Presentation of Data; Measures of Central Tendency; Measures of Dispersion; Probability: Introduction; Uses; Concepts of Probability; Normal Distribution: Characteristics of the Normal Distribution; Sampling Distribution; Correlation/Regression Analysis; Chi-Square Distribution and Analysis of Frequencies.
The course covers foundations of empirical research; techniques of data collection; survey methods; observation by participation and the transect; projective techniques; use of official statistics; advanced study or reliability and validity; sampling techniques; scaling techniques; evaluation research; data analysis and processing; communication in the research process; interpretation and reporting of research results; ethical implications of research; writing of research proposal.
The course focuses on the fundamentals of labour economics and the concept of economic growth and development. It further explores labour relations theories as well as human capital theory at the macro and micro levels. Theories of production and productivity, unemployment, wage determination are addressed. In addition, students are introduced to negotiation skills and issues of trade unionism.
The focus of the course is on the historical development of HRD, definitions of HRD, models and processes of HRD and how to position HRD in organisations. The theoretical and philosophical underpinning of the field is also addressed. In addition, the interrelations between learning and performance perspectives within HRD are discussed.
The course focuses on models, theories and indicators of development; north-south dialogue in development thinking; the globalization and regional integration processes emphasising the winners and losers in these processes. Students are also introduced to theories explaining the underdevelopment of developing countries as well as alternative development approaches and strategies for transforming these countries.
The course exposes students to word processing and spreadsheets such as Excel, and SPSS for statistical analyses. The topics are: Hardware components; input output devices, Software: operating system; utility packages; application software; Maintenance Procedures; Word Processing essentials; Mail Merge, PowerPoint, New Document Templates. Internet Essentials and Research; SPSS – Definition of Variables, Data Transformation: Coding. and Recoding; Data Inputting; SPSS – Inferential Statistics and Interpretation of results; Harvard Graphics; Excel – Excel Basics: data entry, editing, definition of variables; Sorting; Filtering; Subtotals; Excel – Numerical Data: Descriptive Statistics; Graphs; Correlation; Regression; Percentiles and Ranks; Z-scores; Excel – Inferential Statistics: tests of hypothesis (t-test, f-test, Anova etc); Chi-Square Analysis; Excel – Categorical Data: Regression; Pivot Table and Chart Report; Excel – Logical Functions.
