EAUR E-Learning

• Application of statistical techniques: Students will be able to identify and apply appropriate statistical tools, such as probability distributions, hypothesis testing, correlation, and regression analysis, to real-world business problems.
• Technology proficiency: Students will be able to apply technology (like Excel or SPSS) to perform statistical analysis and problem-solving.
• Decision-making: Students will be able to use the outcomes of statistical analysis to engage in and improve decision-making skills in a business context.
• Understanding statistical concepts: Students will gain a basic understanding of statistical definitions, classifications, and the importance of quantitative methods in business.
• Critical evaluation: Students will be able to read and interpret statistical information and recognize when meaningful statistics are (or are not) being used. 

• Data analysis and interpretation: Students will be able to summarize and analyze statistical data to solve business problems and interpret the relevance of findings for decision-making.
• Application of statistical techniques: Students will be able to identify and apply appropriate statistical tools, such as probability distributions, hypothesis testing, correlation, and regression analysis, to real-world business problems.
• Technology proficiency: Students will be able to apply technology (like Excel or SPSS) to perform statistical analysis and problem-solving.
• Decision-making: Students will be able to use the outcomes of statistical analysis to engage in and improve decision-making skills in a business context.
• Understanding statistical concepts: Students will gain a basic understanding of statistical definitions, classifications, and the importance of quantitative methods in business.
• Critical evaluation: Students will be able to read and interpret statistical information and recognize when meaningful statistics are (or are not) being used. 

The Capital Asset Pricing Model (CAPM) is a fundamental financial theory that explains the relationship between risk and expected return in valuing assets and portfolios. This course introduces students to the theoretical foundation, assumptions, applications, and limitations of CAPM. It covers concepts such as risk-free rate, market portfolio, beta coefficient, security market line (SML), and portfolio optimization. The course equips learners with the skills to apply CAPM in asset valuation, investment decision-making, and risk management.

Objectives

• Provide an in-depth understanding of the Capital Asset Pricing Model and its theoretical underpinnings.
• Explain the relationship between systematic risk and expected return.
• Develop the ability to compute and interpret the beta coefficient and risk premium.
• Equip students with skills to apply CAPM in portfolio management and asset pricing.
• Examine the assumptions, criticisms, and alternative models to CAPM.
• Enhance analytical skills in using CAPM for investment decision-making and performance evaluation.

Learning Outcomes

• Define and explain the concepts of risk, return, and their relationship under CAPM.
• Calculate expected returns using the CAPM formula.
• Analyze the role of beta in measuring systematic risk.
• Apply CAPM to evaluate securities, portfolios, and capital budgeting projects.
• Interpret and graph the Security Market Line (SML).
• Critically assess the limitations of CAPM and compare it with other asset pricing models (e.g., Arbitrage Pricing Theory).
• Use CAPM as a tool in investment analysis and risk management.

Academic Year 2024-2025

Lecturer: Peter Kasaija

Entrepreneurship is the process of identifying, developing, and managing opportunities to create and grow new ventures. This course introduces students to the concepts, principles, and practices of entrepreneurship with emphasis on creativity, innovation, business planning, financing, and management of entrepreneurial ventures. It equips learners with the mindset and skills required to start, manage, and sustain a business in competitive and dynamic markets.

Objectives

• Provide students with a solid understanding of entrepreneurship concepts and theories.
• Develop entrepreneurial thinking, creativity, and problem-solving abilities.
• Equip students with knowledge of opportunity identification, idea generation, and innovation strategies.
• Build skills in preparing business plans, feasibility studies, and venture financing strategies.
• Expose learners to challenges and risks in entrepreneurship and methods of overcoming them.
  
• Encourage self-employment, job creation, and economic development through entrepreneurship.

• Define and explain the concepts and importance of entrepreneurship.
• Identify and evaluate viable business opportunities.
• Apply creativity and innovation in developing entrepreneurial solutions.
• Develop and present a comprehensive business plan.
• Demonstrate knowledge of financing options, risk management, and venture growth strategies.
• Exhibit entrepreneurial mindset, leadership, and ethical decision-making in business.
• Understand the role of entrepreneurship in economic growth, job creation, and community development.

Academic Year 2024-2025

Lecturer: Peter Kasaija

The Business Plan course equips learners with the knowledge and practical skills to conceptualize, design, and present a comprehensive business plan. It covers the fundamental components of planning, including market research, business model development, financial forecasting, risk analysis, and strategic planning. The course emphasizes both entrepreneurial thinking and practical application to enable learners to develop actionable plans for new ventures or to expand existing businesses.

Objectives

• Understand the purpose and importance of business planning in entrepreneurship and corporate settings.
• Analyze business opportunities and assess market viability.
• Develop strategic, operational, and financial components of a business plan.
• Apply tools for market research, competitor analysis, and risk management.
• Create and present a professional, investor-ready business plan.
• Strengthen problem-solving, analytical, and decision-making skills in a business context.

Learning Outcomes

• Identify and evaluate viable business ideas using structured frameworks.
• Conduct market and industry analysis to inform business strategies.
• Design business models tailored to customer needs and competitive advantage.
• Prepare detailed financial projections including budgets, cash flows, and profitability analysis.
• Demonstrate awareness of potential risks and propose mitigation strategies.
• Communicate business ideas effectively through written plans and oral presentations.
• Apply entrepreneurial mindset and creativity in planning sustainable ventures.

Academic Year 2024-2025

Lecturer: Peter Kasaija

This course provides an overview of risk management principles and the role of insurance in mitigating financial losses. It introduces students to the concepts of risk identification, assessment, and control, as well as various types of insurance products and their applications in personal and business settings. The course also explores the legal and regulatory framework governing the insurance industry and highlights best practices in risk management.