Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Optimizing hardware systems necessitates careful consideration of trade-offs among competing requirements like performance, power consumption, cost, and size. Various analysis methods and performance metrics are essential in identifying inefficiencies and guiding design decisions that lead to effective solutions. Utilizing tools such as decision matrices and sensitivity analysis can enhance the optimization process, ultimately improving product quality and competitiveness in the market.
References
ee4-hse-5.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: TradeOff Analysis
Definition: A method of evaluating competing system requirements to ensure effective design decisions.
Term: Pugh Matrix
Definition: A decision-making tool that compares design alternatives against weighted criteria.
Term: Pareto Analysis
Definition: An analysis focusing on the 20% of factors that typically contribute to 80% of outcomes.
Term: Sensitivity Analysis
Definition: A technique to assess how changes in one variable can impact the overall performance of a system.
Term: Performance Metrics
Definition: Quantitative measures like throughput, latency, and power consumption that evaluate hardware system performance.