Yuchou Chang Profile Picture

Yuchou Chang

Assistant Professor

Computer & Information Science

508-999-8475

xbg`mf0?tl`rrc-dct

Dion 317B


Education

2012University of Wisconsin-MilwaukeePhD
2006Shanghai Jiao Tong UniversityME
2003Northwestern Polytechnical UniversityBE

Teaching

Courses

Software development using advanced object paradigm concepts. This course introduces threads, networking, and exception handling and covers in depth the advanced topics of object paradigm such as inheritance and polymorphism. These concepts are introduced in the context of developing software using software tools including the libraries of components.

Software development using advanced object paradigm concepts. This course introduces threads, networking, and exception handling and covers in depth the advanced topics of object paradigm such as inheritance and polymorphism. These concepts are introduced in the context of developing software using software tools including the libraries of components.

Software development using advanced object paradigm concepts. This course introduces threads, networking, and exception handling and covers in depth the advanced topics of object paradigm such as inheritance and polymorphism. These concepts are introduced in the context of developing software using software tools including the libraries of components.

Software development using advanced object paradigm concepts. This course introduces threads, networking, and exception handling and covers in depth the advanced topics of object paradigm such as inheritance and polymorphism. These concepts are introduced in the context of developing software using software tools including the libraries of components.

Software development using advanced object paradigm concepts. This course introduces threads, networking, and exception handling and covers in depth the advanced topics of object paradigm such as inheritance and polymorphism. These concepts are introduced in the context of developing software using software tools including the libraries of components.

Theories and models in visual analytics. Visual analytics covers cognitive theories, advanced computational models and usable visual interface for sensemaking of data. This course is intended for graduate students interested in using visualizations for data analytics in their own work, or students interested in building visual analytics tools.

Research

Research Interests

  • Artificial Intelligence / Machine Learning / Pattern Recognition
  • Biomedical Imaging
  • Intelligent Robotics
  • Brain-Computer Interface
  • Statistical Signal Processing

External links

Request edits to your profile