Teaching

My teaching interests are in Artificial Intelligence and Data Science areas. I like to teach project-driven programming, algorithms and data structure, and engineering mathematics.

Lectures

I have designed and taught the following courses/modules/subjects at UG and PG levels:

Artificial Intelligence and Computer Vision, UG, Newcastle University, 2024 (Slides: 1,2,3)
Engineering for Artificial Intelligence, PG, Newcastle University, 2024
Artificial Intelligence Ethics (Strategic Case Studies), PG, Newcastle University, 2024 (Slides: 1, 2)
Data Science, UG, University of Reading, 2021–2022 (Slides: 1,2,3)
Artificial Intelligence, UG/PG, University of Reading, 2020–2021 (Slides: 1,2,3,4,5,6,7,8)
Data Mining, UG, University of Reading, 2019
Creative Data Mining, UG/PG, ETH Zürich, Switzerland, 2017–2018 (Slides, Projects)
Artificial Intelligence, PG, Visva-Bharati University, 2012
Artificial Neural Networks, PG, Visva-Bharati University, 2011
Computer Networks, PG, Newcastle University, 2023
Emerging Technologies, PG, Newcastle University, 2023 - 2024
Fundamentals of Computer Science, UG, Reading, 2020 – 2021 (Slides: 1,2,3,4,5)
Programming Java (filliped lecture), UG University of Reading, 2020 – 2022

Teaching Awards

Received School’s Excellence in Teaching & Learning Award for implementing an industrial cooperation on projects , UoR, UK, 2022
Received School’s Excellence in Teaching & Learning Award for implementing an industrial certification to the Data Mining module, UoR, UK, 2019
Received School’s Reward– Celebrating Success in Teaching & Learning for implementing novel ideas in the degree project, UoR, UK, 2019

Other Teaching Activities

Guest Lecturer of the workshop on Artificial Intelligence for Mathematical Modelling in Pharmacology, University of Reading, 03/2022 (Slides)
Educator of Massive Open Online Course, Begin Programming, 2019 – 2021 (FutureLearn)
Guest Lecturer of Artificial Intelligence, Henley Business School, 2019–2020 (Slides)
Tutor of C++ Programming, UG, Visva-Bharati University, 2011
Module reviewer of Text Mining and Natural Language Processing, Neurocomputation, Data Science, Algorithms and Tools, and Algorithms, University of Reading, 2019–2021
Lecturer of Artificial Intelligence Sample Lecture on Open days, 2019 (Slides)
Invited Lecturer of Huawei HCIA-AI course on AI, 09/2020, 02/2021

Examples of Innovation in Teaching & Learning

As a Degree Project Coordinator at the Department of Computer Science, the University of Reading (2019-2021), I introduced
- project-based supervisor allocation scheme
- a new assessment marking rubric
- professional skills training sessions for student support on (time management, research methods, research writing, project managment) and presentations)
- introduced a departmental report template and writing guide
At the Department of Computer Science, University of Reading, 2021, I introduced a formal scheme for cooperation with industries on final year projects.
As a Programming in Java Module Convener (Department of Computer Science, University of Reading, 2021), I designed computer game assessment strategies.

Teaching & Learning Workshop Participations

Technology Enhanced Learning: ABC Module Design Workshop, UoR, 10/2018
Assessment and Feedback Workshop (School Based), UoR, 09/2019
Final Year Projects and Dissertations: From Design to Delivery, UoR, 06/2019
Employability and Student Success, UoR, 05/2019
Taking a programme-level approach to assessment using the TESTA methodology, 03/2019
Technology Enhanced Learning: EMA Designing and Using Rubrics (for Academics), UoR, 03/2019
Being an Academic Tutor - Tools and Techniques, UoR, 11/2019
Personal Growth - Understanding Yourself and Others, UoR, 12/2019
Teaching & Learning Leadership & You, UoR, 11/2018
Project management course for postdoctoral researchers, ETH Zürich, 2017

Life Cycle of Teaching a Course

Teaching is a learning system where a feedback loop is paramount in perfecting and stabilizing the system. I sketched this thought in the following image.