Decision_Making_Problem_Solving_CSUG.pptx

Decision making and problem solving for computer scienentist

1. Decision-Making & Problem-Solving in Computer Science Professional Development Module [Your Name] - [Date]

2. Introduction - Importance of decision-making in computer science. - Problem-solving as a key professional skill. - How structured techniques improve efficiency.

3. Problem-Solving Process 1. Identify the problem 2. Analyze the root cause 3. Plan a solution 4. Implement the solution 5. Evaluate and refine

4. Common Problem-Solving Techniques - **Root Cause Analysis (RCA):** Identify underlying issues. - **5 Whys Technique:** Ask 'why' multiple times to find the root cause. - **Fishbone Diagram (Ishikawa):** Visualize causes and effects. - **SWOT Analysis:** Strengths, Weaknesses, Opportunities, Threats.

5. Decision-Making Models - **Rational Model:** Logical and step-by-step analysis. - **Intuitive Model:** Based on experience and instincts. - **Cost-Benefit Analysis:** Compare advantages and disadvantages before deciding.

6. Algorithmic Thinking & Problem-Solving in CS - **Debugging & Troubleshooting:** Systematic identification of code errors. - **Divide and Conquer:** Break problems into smaller sub-problems. - **Flowcharts & Pseudocode:** Visual and structured approaches to planning solutions.

7. Real-World Applications in Computer Science - **Software Development:** Making architectural and design decisions. - **Cybersecurity:** Responding to incidents and mitigating risks. - **AI & Data Science:** Using data-driven decision-making.

8. Best Practices & Tips - Stay analytical and objective. - Use structured methods like flowcharts or decision trees. - Collaborate with teams for diverse perspectives. - Continuously refine solutions based on feedback.

9. Case Study / Discussion Scenario: A software bug is causing unexpected system crashes. - How would you identify the root cause? - What decision-making model would you use? - How would you test and refine the solution?

10. Conclusion & Q&A - Problem-solving is a critical skill for CS professionals. - Combining structured techniques with experience leads to better decisions. - Keep practicing and refining your approach! Questions?