Study at TCU

Information Systems

The department cultivates professionals who can build an information system from the diverse needs and perspectives of users in order to ensure safe, comfortable use. Students will learn programming skills, media processing, and web creation technologies, as well as research, analysis, and evaluation methods and technologies to realize advanced information systems, including ICT assessment, information security, and information management.

Educational / Research Fields

System Design Field

Students will acquire the ability to design and build information systems by studying many varieties of different digital technologies that support the information-based society of today, including communication technologies, such as the Internet and mobile phones, and learn how to process multimedia sounds and images.

ICT Assessment Field

Students will acquire the ability as a comprehensive producer who understands the element technology necessary to establish an information system, research and analyze user needs, design a system that considers the conditions for business profitability, reserve resources as the required personnel, control execution, and make assessments.

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Academic Staff


  1. Software Engineering and Machine Learning
  2. Software Testing
  1. (1) Visualization using point clouds
  2. (2) Quantitative measurement of e-sports skills
  1. Symbiotic Evolution
  2. Automatic music composition
  1. Computer Supported Cooperative Work (CSCW)
  2. Interaction with Public Display
  3. Creative Activities Support System
  4. Virtual / Mixed / Augmented Reality (VR / MR / AR)
  5. Empirical Study of How People Relate to Technologies
  1. (1) Speaker verification
  2. (2) Processing multi-speaker conversational speech
  3. (3) Application of image recognition
  1. (1) Intellectual collaborative work support technology
  2. (2) Knowledge sharing network technology
  3. (3) Information security behavior support technology
  1. (1) Indoor Location Estimation w/ WLAN
  2. (2) Education on Computer Simulation Techology

Associate Professor

  1. (1) Machine learning
  2. (2) Distance metric learning
  3. (3) Statistical relational learning using latent structure model
  1. Software development, language and tools
  2. Signal processing algorithms


  1. 1) Refactoring detection
  2. 2) Analysis of student activities in programming exercise
  3. 3) Analysis of competitor's program in the programming competition site