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Image formation and segmentation. Image acquisition. Image representations and organisations. Digital image characterisation. Image enhancement and restoration. Image coding and data compression. Geometry for 3D vision. Pattern recognition using neural networks. Image analysis and understanding. Machine vision applications.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | |
| Exam |
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |
CE1107
Data Structures & Algorithms
CE3001
Advanced Computer Architecture
CE3002
Sensors, Interfacing & Digital Control
CE3102
Signals, Systems & Transforms
CE3103
Embedded Programming
CE4010
Applied Cryptography
CE4016
Advanced Topics In Algorithms
CE4022
Wireless & Mobile Networks
CE4023
Advanced Computer Networks
| Mon | Tue | Wed | Thu | Fri | ||
|---|---|---|---|---|---|---|
| 1430 | COMMON LEC (SCL4) 1430-1620 Tue LT19A, ONLINE Wk1-9,11-13, Teaching Wk10 | COMMON LEC (SCL4) 1430-1620 Tue LT19A, ONLINE Wk1-9,11-13, Teaching Wk10 | ||||
| 1500 | ||||||
| 1530 | ||||||
| 1600 | ||||||
| 1630 | 10836 TUT (SCEL) 1630-1720 Tue LT19A, ONLINE Wk2-9,11-13, Teaching Wk10 | 10836 TUT (SCEL) 1630-1720 Tue LT19A, ONLINE Wk2-9,11-13, Teaching Wk10 | ||||
| 1700 | ||||||
