Intelligent Computing Industrial Doctorate Program

Organisation profile

Organisation profile

  1. Plan interdisciplinary and team practice courses which focus on advanced applications and system integration, and combine industry practices to cultivate talents with dual expertise with AI computing technology as the core.
  2. This program’s course is divided into four areas, including (1) Statistics and Applied Mathematics, (2) Computing in Memory, (3) Semiconductor Circuits and Processes, (4) Basic EECS Courses (Intermediate Former non-EECS students).
  3. Leverage the advanced courses in computing/professional fields of existing departments, with course guides and course maps.
  4. Some courses will be connected with industry, and teachers with interdisciplinary expertise and industry experts will jointly guide students to implement application topics.
  5. There are more than 20 teachers across the colleges of Electrical Engineering and Computer Science, Engineering, science, and Management.
  6. Link industry, academia, and research resources to provide a comprehensive interdisciplinary application-oriented integrated teaching and research environment!

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


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