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We will first review Markov decision processes (MDP) and traditional reinforcement learning techniques. Then we will review recent developments in robot learning, deep learning, and deep reinforcement learning, including topics such as behavior cloning, inverse reinforcement learning, policy gradient, deep Q-network (DQN), generative adversarial networks (GAN), and generative adversarial imitation learning." | 2018.01.21 MLJ | |||
4190.771 Topics in Algorithms (Data Compression) | (3 * 3.3 =) 10 | "The goal of the course is to introduce various compression techniques. The course will also briefly introduce the area of succinct data structures." | 2018.01.21 MLJ | |
4190.773 Topics in Artificial Intelligence (Optimization for Machine Learning) | (3 * 3.3 =) 10 | TDT4173 - Maskinlæring og case-basert resonnering | "This course will discuss the field of machine learning concerned with the question of how to construct computer programs that automatically improve with experience. Based on many research papers published in the field of machine learning, several well-known machine learning approaches are discussed with their key algorithms, theories, and application areas." | 2018.01.21 MLJ |
251.422 - Investments | (3 * 1.875 =) 5.625 | TIØ4146 - Finans for teknisk-naturvitenskaplige studenter (K-emne) | "This course presents the analytical tools, financial theories and empirical evidence necessary for making good investment decisions." | 2018.03.12 MLJ |
M1522.001000 Computer Vision | 10 | TDT4265 - Computer Vision and Deep Learning | This course is categorized as an undergraduate course on SNU's websites, but I still suggest treating it as a graduate course. It covers many of the same areas as TDT4265 (image formation, filtering, PCA, feature extraction, stereo vision, machine learning, optical flow & tracking, deep learning for vision , ...), in addition to other areas. Furthermore, the course is listed as a fourth year course, which is also the year I am studying now. Update: I talked to the professor after lecture, and he also confirmed that this is essentially a graduate course. | 2018.03.12 MLJ |
430.711A Introduction to Computer Vision | (3 * 3.3 =) 10 | TDT4265 - Computer Vision and Deep Learning | Computer vision course with some deep learning. | 2018.03.12 MLJ |
326.739A Seminar in Statistics (Deep Learning: A Statistical Perspective) | (3 * 3.3 =) 10 | TDT4173 - Maskinlæring og case-basert resonnering | Machine learning course. | 2018.03.12 MLJ |
4190.683A Advanced Human-Computer Interface | 3gc=10sp | TDT4180 Menneske-maskin-interaksjon | This course is a graduate level introductory course to the filed of Human-Computer Interaction. It covers HCI models, theories, and frameworks that are key to conducting HCI research. In addition, this course offers opportunities to get familiar with the methodologies and techniques to apply those key components to real world problems found in various HCI application areas such as information visualization, mobile interaction, visual analytics, and social computing. | 2018.09.12 OC
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Discrete Mathematics | 3uc=5.5sp | TMA4140 Diskret matematikk | This course covers the mathematical topics closely related to computer science. Topics include: logic, sets, functions, relations, countability, combinatorics, proof techniques, mathematical induction, recursion, recurrence relations, graph theory, and number theory. The course emphasizes the context and applications of these concepts within computer science. | 2018.09.12 OC |
Software Engineering | 3uc=5.5sp | TDT4140 Programvareutvikling | This course covers the issues regarding software requirement analysis, various software design methodologies, and software project management. | 2018.09.12 OC |
Artificial Intelligence | 3uc=5.5sp | TDT4136 Introduksjon til kunstig intelligens | This course probes into artificial intelligence, focusing on heuristic search, reasoning, learning, and knowledge representation. It also covers the methods of logical theorem proving, playing games, intelligent agents, and neural networks. | 2018.09.12 OC |
Programming practice | 3uc=5.5sp | TDT4113 Datateknologi, programmeringsprosjekt | This course teaches a programming language, C, and the basic programming skills for the beginners to the programming. Through programming practices, students will enhance their programming abilities. | 2018.09.12 OC |
"Pakker":
2017
2017 Ragnar Bråstein: Høst: M1522.001300 Probabilistic Graphical Models, 4190.676 Artificial Neural Networks, 4190.773 Topics in Artificial Intelligence, Vår: 463.511 Technology and Commercialization, 430.843 Advanced Programming Methodology, 4190.564 Advanced Database, for
TDT4150 Av db . IT3708 NN, K-emne, TDT4290 - KPro, TDT4856 - IT-styring, IT3105 AI-Prog, TTK4130 ModOgSim (IaS)
HegeHaavaldsen: 212.501, 4190.564, 4190.569, 4190.673, 4190.676, M1522.001300.