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Hver undergrad-credit teller 1,85 sp, Hver grad-credit teller 3,33 sp.
SKKU-fag | sp. | NTNU-fag | UnSpec | Comment | Dato - OK |
|---|---|---|---|---|---|
| Advanced Aritifical Intelligence The course objectives are to learn techniques and theory developed in major areas of Artificial Intelligence. The topics are: problem solving and search, logic and knowledge representation, reasoning, machine learning, soft computing, data mining and miscellaneous topics in the current research. | 10 | TDT4136 Introduksjon til kunstig intelligens (7,5) TDT4171 Metoder i kunstig intelligens (2,5) | 2013.04.01 TR | ||
| Advanced computer vision This lesson discusses basic technologies on Input, processing and displaying of visual signals. Main subjects are image algebra, image enhancement techniques, edge detection, thresholding, thinning and skeletonizing, morphological transforms, linear image transforms, pattern matching and shape detection, image features and descriptors, neural networks, and so on. | 10 | TDT4195 Grunnleggende visuell databehandling (3,75) TDT4265 Computer Vision (6,25) | 2013.04.01 TR 2015.07.29 RS | ||
| Special topics in robotics Robotics is a true interdisciplinary topic that requires all kinds of engineering knowledge including mechanical, electrical, and computer science. It also covers a broad range of subjects such as sensor and actuators, dynamics and control, and artificial intelligence. This class introduces the current research trends in robotics so as to help students keep up the top tier research. The subjects of the class will vary depending on the current trends, but will include such topics as dynamics analysis using Lie group and algebra, sensor and actuator systems, advanced control theories for robotics, machine learning, computer vision, and artificial intelligence. | 10 | TTK4115 Lineær systemteori (7,5) | |||