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SKKU-fag | sp. | NTNU-fag | UnSpec | Comment | Dato - OK |
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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) | 2013.04.01 TR | ||
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 | TDT4171 Metoder i kunstig intelligens (2,5) | Samme boks som den over. Er den ok? | ||
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) | 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 | TDT4265 Computer Vision (6,25) | 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 | 2015.08.20 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 | TTK4195 - Modellering og regulering av roboter (2,5) | Samme boks som den over. Er den ok? | ||
Database Systems | 10 | TDT4150 Avanserte databasesystemer (7.5) | 2015.10.01 RS | ||
DCF5013-41 Ubiquitous Computing (3 credits) The core technologies of u-City IT infrastructure is based on ubiquitous computing paradigm. This course introduces the concept of ubiquitous computing and key information and communication technologies required to build ubiquitous environment. The main topics are wireless networking allowing information sharing anytime, anywhere, distributed software technology providing customized services, various u-devices such as RFID/u-Tag, ubiquitous society and service issue, and new computing paradigm such as wearable computing and pervasive computing. | 10 | 2,5 | NTNU have no UbiComp classes | 2016.04.07 RS | |
DCF5013-41 Ubiquitous Computing The core technologies of u-City IT infrastructure is based on ubiquitous computing paradigm. This course introduces the concept of ubiquitous computing and key information and communication technologies required to build ubiquitous environment. The main topics are wireless networking allowing information sharing anytime, anywhere, distributed software technology providing customized services, various u-devices such as RFID/u-Tag, ubiquitous society and service issue, and new computing paradigm such as wearable computing and pervasive computing. | 10 | 2,5 | NTNU have no UbiComp classes | 2016.04.07 RS | |
Information System Security | 10 | TDT4237 Programvaresikkerhet (7.5) | |||
Distributed System Topics | 10 | TDT4225 Store, distribuerte datamengder (7.5) | |||
ECE5655-41 Advanced System Software | 10 | TDT4242 Avansert programvareutvikling (5) | 2015.10.01 RS | ||
ECE5655-41 Advanced System Software | 10 | TDT4260 Datamaskinarkitektur (5) | 2015.10.01 RS | ||
ECE5902-42 Writing of IT Technical Papers in English and Research Ethics | 6,67 | IT3010 Metoder for forskningsbasert innovasjon i IT (6.67) | 2016.04.07 RS | ||
ECE5903-41 Seminar in Information Technology | 3,33 | TDT4252 Virksomhets-arkitektur og -innovasjon (3.33) | 2015? |
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ECE5903-41 Seminar in Information Technology | 3,33 | IT3020 - Current Topics in Informatics (3,33) | 2016.04.07 RS | ||
ECE5947-41 HCI Design | 10 | IT3402 - Design av grafiske brukergrensesnitt (7,5) | 2,5 | 2016.04.07 RS | |
Creative Group Study | 10 | IT3010 Metoder for forskningsbasert innovasjon i IT (5) Eksperter i Team (5 | 2015.09.16 RS | ||