Computer Science

This course covers online and reinforcement learning, concepts that break out of the static realm and move into the perpetual cycle of receiving new information, analyzing it, and executing actions based on the updated estimation of reality. This course considers the agents (computer programs, robots, living beings) that learn based on interactions with real or simulated environments: repeated investment in the stock market, spam filtering, online advertising, online routing, medical treatments, games, and robotics. The course also situates online and reinforcement learning to model a much richer range of problems, such as limited and delayed feedback; and even adversarial problems, where the environment deliberately acts against the algorithm (chess, spam filtering). Mathematical tools for developing and analyzing algorithms for these problems are also studied.

This course covers geometric basics of sensor orientation and object reconstruction, including homogeneous coordinates, projectivity and perspective, modelling of image formation, inner and outer orientation, orientation of uncalibrated and calibrated cameras, spatial resection, least-squares adjustment, orientation of the image pair, relative and absolute orientation, spatial triangulation, multi-view geometry, bundle block adjustment, image digitalization, and radiometric basics.

This course covers the general ideas and methods of solving problems with computers, to master the basic processes and methods of programming, and to use Python as a tool for analysis and processing large data. This course teaches the current popular Python language. Python is very suitable as the first programming language for non-computer science majors. Learning content includes: Python sequences: lists, tuples, dictionaries, collections, control structures: selection, looping, string common operation methods, string functions, regular expressions, function definition and usage, module definition and usage, file operations, exception handling, etc., and basic understanding of graphical interface and drawing.

This course addresses the effective use of cloud technology in digital cultural and creative projects including: versatile digital publishing, website design, web community development, digital imaging, animation, video and media production management. As a specific objective, we emphasize to cap off a team project more than an individual task. This course takes account of the inter-discipline of humanities and information technology through media application. The learning method focuses on problem solving oriented approach. The learning activity designates a hands-on assignment and requires a complete output in the form of publishable presentation.