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Shoujin Wang

Teaching

Shoujin has extensively undertaken teaching tasks both in business discipline and computing discipline since 2012.

  • Lecturer for Course Units (In responsible for course material design and development, lecture delivery, unit coordination, marking and consultation):
  1. Fundamentals of Recommender Systems (online course), Shenlan Academy, 2020/02 - 2020/09, unit convener, co-designed and developed the course from scratch.
  2. Internal Research Project (COMP 8871), Macquarie University, S1 2020, S2 2020. Ranked in Top-3 units out of over 60 units in terms of learning experience survey in S1 2020, LEU = 4.025/5. Significantly positive feedbacks from students, e.g., "Thanks for Shoujin Wang’s help and patience throughout the semester. You are a good teacher for giving us continuous help and always inspiring us for new and constructive solutions." -- by by Meiling Gong at 10:55pm on Tuesday, 14 July 2020.
  3. Introduction to Database, Shanghai University, 2012/03 - 2012/06, unit convener.
  4. Logistics Information Systems, Shanghai University, 2013/09 - 2014/03, unit convener.
  5. E-commerce, Shanghai University, 2013/02 - 2013/08.
  6. Model Management Technique, Shanghai University, 2013/02 - 2013/08.

  • Lecturer for Lecture-style Conference Tutorials (In responsible for tutorial proposal development, tutorial design and development, tutorial material preparation, tutorial delivery, tutorial organization and coordination):
  1. Towards Ubiquitous Recommender Systems: Data, Approaches, and Applications, AAAI 2021 (Link).
  2. Complement, Composite and Context: The 3C-Law to Build Multidomain Recommender Systems, ICDM 2021 (Link).
  3. Next-Generation Recommender Systems and Their Advanced Applications, IJCAI-PRICAI 2020 (Link).
  4. Coupling Everything: A Universal Guideline for Building State-of-The-Art Recommender Systems, IJCAI 2019 (Link).

  • Guest Lecturer (In responsible for lecture design and delivery):
  1. Guest lecture "An Introduction to Recommender Systems" for unit Data Wrangling (FIT5196), at the Faculty of Information Technology, Monash University, invited by Dr. Shirui Pan (ARC Future Fellow), 2021/11/10.
  2. Guest lecture "An introduction to Recommender Systems" for unit Mining Unstructured Data (COMP 8230), at the Department of Computing, Macquarie University, invited by Dr. Guanfeng Liu, 2020/04/28.
  3. Guest lecture "Recommender Systems, Guess What You Want" for unit Big Data (COMP 3210/6210), at the Department of Computing, Macquarie University, invited by Prof. Yan Wang, 2020/05/20.
  4. Guest lecture "Recommender Systems" for E-commerce Technology (COMP 334), at the Department of Computing, Macquarie University, invited by Prof. Yan Wang, 2019/10/31.

  • Tutor (In responsible for tutorial/practical workshop delivery, consultation, marking):
  1. E-commerce Technology (ITEC 810/812), S2 2019, Department of Computing, Macquarie University.
  2. Data Science (COMP 2200/6200), S2 2020, Department of Computing, Macquarie University.
  3. Data Science (COMP 2200/6200), S2 2021, School of Computing, Macquarie University. LEU = 4.62/5, significantly positive feedbacks received from students, e.g., "You're Awesome! I believe that Teachers and students must work together!"; "I am actually not in your tutorial but I am trying what I can to become so." -- from Alec Boyd at 10:40am on Thursday, 30 July 2020; "You have made the contents more clear than the lecture!"
  4. Fundamentals of Business Analytics (BUSA 2020), S1 2022, Macquarie Business School.