This course provides an introduction to probability, random variables and random processes. In addition, the probability theory will be applied to estimation and detection. It consists of three main modules: 1. Probability and random variables 2. Random processes, correlation functions and spectral densities 3. Applications to estimation and detection Probability will be introduced using the relative-frequency approach and the axiomatic approach. Both continuous and discrete random variables will be studied. Some elements of statistics will also be included.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | EE2010, IM2004, IE2010, IE2110 |
| Not Available To Programme | |
| Not Available To All Programme With | |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
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