*Learning Objectives* 

By the end of the course, students will: 

1. Classify risks (market, credit, operational, etc.) and their impacts. 

2. Apply risk management frameworks to real-world scenarios. 

3. Use quantitative tools (probability, statistics, VaR) for risk assessment. 

4. Develop mitigation strategies (risk transfer, avoidance, insurance). 

5. Analyse ethical dilemmas and crisis management in risk contexts. 

*Required Materials* 

- *Textbook: * Fundamentals of Risk Management (5th ed.) by Paul Hopkin. 

- *Supplemental Readings: * 

  - Fraser, J. & Simkins, B. (2016). Enterprise Risk Management. 

  - Harvard Business Review case studies. 

  - ISO 31000 and COSO ERM guidelines. 

- *Software: * Excel, R, or Python for data analysis. 

*Assessment Breakdown* 

| Component                  | Weight           | Details                                                                 | 

|---------------------|--------|-------------------------------------------------------------------------| 

| Participation                | 10%    | Active engagement in discussions and case analyses.                    | 

| Bi-Weekly Quizzes      | 10%    | Short quizzes on readings and lectures.                                | 

| Midterm Exam             | 20%    | Covers Weeks 1–6 (MCQs, short answers, case analysis).                 | 

| Individual Case Study | 15%  | 10-page analysis of a real-world risk scenario.                        | 

| Group Project             | 20%    | Presentation + report on a risk management plan (4–5 students).       | 

| Final Exam                 | 25%    | Cumulative exam (essays, calculations, case studies).                 | 

*Weekly Schedule* 

| Week | Topic                                      | Key Activities                                  | 

|------|--------------------------------------------|------------------------------------------------| 

| 1    | Introduction to Risk Management            | Definitions, historical case studies.          | 

| 2    | Types of Risks                                          | Market, credit, operational risks.             | 

| 3    | Risk Management Frameworks                | ISO 31000, COSO ERM.                           | 

| 4–5 | Risk Identification & Assessment Tools    | SWOT, root cause analysis, risk matrices.      | 

| 6    | Quantitative Tools                                      | Probability, VaR, Monte Carlo simulations.     | 

| 7    | *Midterm Exam*                                        |                                                | 

| 8    | Risk Mitigation & Insurance                      | Case study: Supply chain disruption.           | 

| 9–11 | Sector-Specific Risks                             | Financial derivatives, operational resilience. | 

| 12   | Crisis Management                                  | Simulation exercises.                          | 

| 13   | Ethics in Risk Management                     | Debate: Data privacy vs. risk transparency.    | 

| 14   | Group Project Presentations                   | Peer feedback and Q&A.                         | 

| 15   | Final Exam Review                                 | Comprehensive recap.                           | 

*Course Policies* 

- *Attendance: * Mandatory (≥80% required). 

- *Late Work: * 10% penalty per day; no submissions after 5 days. 

- *Academic Integrity: * Zero tolerance for plagiarism. 

- *Accommodations: * Available via university disability services. 

*Additional Resources* 

- *Software Tutorials: * Excel (Data Analysis Toolpak), R/Python basics. 

- *Online Tools: * COSO ERM toolkit, ISO 31000 guidelines.