Course Code: KIE2003
Course Title: Probability and Random Signal
Credit Hour: 3
Course Description: Basic probability, Discrete random variables, Summary statistics, Continuous random variables, Laws of large numbers, Detection, Estimation and Stochastic processes.
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COURSE LEARNING OUTCOMES (CLO) |
PROGRAMME LEARNING OUTCOMES (PLO) |
METHOD OF ASSESSMENT & ASSESSMENT WEIGHTAGE |
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| PLO1 | PLO2 | PLO7 | ||
| 1. Apply probability models by employing counting methods and basic probability mass function and probability density function models for discrete and continuous random variables. | ✔ | Test (10%) and final examination (20%) | ||
| 2. Analyse the relationship between random variables and their distribution functions. | ✔ | Test (10%) and final examination (20%) | ||
| 3. Categorize stochastic processes with an emphasis on stationary random processes. | ✔ | Final examination (20%) | ||
| 4. Investigate the use of probability theory and random signal in providing sustainable solution to an engineering problem. | ✔ | Assignment (20%) | ||
Course resources will be made available on the SPeCTRUM site.
Last Update: 26/09/2022