Teaching

 Course Coordination/Development

• The AI Professional (2023-)

  • Credit Points: 12.00

  • Level: Postgraduate

  • This course will mainly introduce concepts related to legal, ethical, privacy, governance issues for data collections; describe techniques for effectively managing such issues; provide you with techniques for effective communication and other considerations required of the AI practitioner in a professional organisation.

• The Data Science Professional (2023-)

  • Credit Points: 12.00

  • Level: Postgraduate; Undergraduate

  • This course will mainly introduce concepts related to legal, ethical, privacy, governance issues for data collections; describe techniques for effectively managing such issues; provide you with techniques for effective communication and other considerations required of the Data Scientist in a professional organisation.

• Professional Research and Communication (2021-2022)

  • Credit Points: 15.00

  • Level: Postgraduate

  • This course provides students with the skills for undertaking IT research in academic and organisational contexts. Students will investigate communication theories and apply these in a range of organisational situations. Students will practise and refine their English writing skills, and develop a proposal for an organisational IT research project. The emphasis will be evaluating existing literature related to the organisational IT project, understanding various approaches to solving the problem, writing up, and delivery of a presentation on the organisational IT project.

• Data Science for All (2022)

  • Credit Points: 15.00

  • Level: Postgraduate

  • DATA SCIENCE FOR ALL is an introductory course to data science, a fast-growing and exciting field. This course will provide an overview of a number of topics that play fundamental roles across various subjects in data science. The course features an emphasis on foundations and practical knowledge of data science, as well as computational thinking and real-world relevance. Topics to be covered include data types, data representation, data preparation, data processing and mining, data management, data exploration and visualisation. Hands-on experience working with real-world data, techniques, and tools will prepare students for advanced courses and enable students to start careers as data scientists.

Scheduled Teaching

• The AI Professional: Lectorial

• The Data Science Professional: Lectorial

• Professional Research and Communication: Lecturer, Lab Instructor, and Partner Moderator

• Statistical Methods: Tutorial, Lab Instructor

• Masters Project: Project supervisor

• Computer Networking: Course Coordinator and Lecturer; Excellent Undergraduate Course of the University

• Internet of Things: Course Coordinator and Lecturer

• Complex Systems Modelling: Course Coordinator and Lecturer

• Advanced Computer Networks: Course Coordinator and Lecturer, Excellent Postgraduate Course of the University

Teaching Related Activities

• New Program Development

  • Led the initial design of a new program Master of Data Science, 2019-2020

  • Directed the design of one undergraduate certificate program in response to Australian Government's Higher Education Relief Package: Undergraduate Certificate in Information Technology, 2020

  • Directed the design of new programs: Undergraduate Certificate in Enterprise Systems and Master of Cognitive Enterprise (both in collaboration with IBM), 2020-2021

• Capstone/Honours/Final-Year Project Supervision 

  • 87 Bachelor theses (2010-2019), among which four were awarded Best Undergraduate Thesis of the University.

  • 2 Masters (by coursework) (2021), Grade: HD

• Program Coordination

  • Bachelor of Network Engineering, Dalian University of Technology, 2015-2018. Accredited by China Engineering Education Accreditation Association (CEEAA).

• Textbooks

  • Edited 6 textbooks in Chinese, including e.g., Introduction to Big Data, Computer Networks, Advanced Computer Networks, etc.