Instructor for Mathematics in AI (AIE 6001) Fall 2025
Lecture 1: Slides, Introduction, Code Demo
Lecture 2: Slides, Code Demo, Assignment 1
Lecture 3: Slides, Code Demo, Slides on PCA
Lecture 4: Slides, Basics on Stochastic Processes
Lecture 5: Slides, Assignment 2
Lecture 6: Slides
Lecture 7: Slides
Lecture 8: Slides, Assignment 3
Lecture 9: Slides
Lecture 10: Slides, Assignment 4
Lecture 11: Slides
Instructor for AI Exploration: Large Language Model for Optimization (AIE 1901) Fall 2025
Lecture 1: Slides, Introduction
Tutorial 1: Desert survival problem demo, Code, Code, English Description, Slides
Lecture 2: Slides, Assignment 1
Tutorial 2: Slides, Code, Code
Lecture 3: Slides, OR Problem Collections, OR Problem Collections, Grading Rubics (Instructor), Grading Rubics (Student)
Tutorial 3: Slides, demo, Notes
Lecture 4: Slides, Assignment 2
Tutorial 4: Slides, demo, demo2, Assignment 3
Lecture 5: Slides, Slides, Final Guideline, Grading Rubics (Instructor), Grading Rubics (Student), Assignment 4
Lecture 6: Slides, AI Guideline by CUHKSZ
Teaching Assistant for Engineering Optimization (ISYE 3133) Fall 2020 - Spring 2021 (Online)
Teaching Assistant for Design and Analysis of Experiments (ISYE 6413) Fall 2021
Instructor for Statistics& Applications (ISyE 3770, Spring 2024, around 60 students) Course materials are prepared by Jie Wang.
Week 1: Slides, Syllabus, Simulation
Week 2: Slides, Assignment1, Assignment1_Solution
Week 3: Slides, Assignment2, Assignment2_Solution
Week 4: Slides, Assignment3, Assignment3_Solution
Week 5: Slides, Table_Normal_ChiSquared
Week 6: Slides, Introduction_to_R
Midterm 1: Half_time_review, Midterm1_Practice, Midterm1_Practice_Solution, Midterm1, Midterm1_Solution
Week 7: Slides, Week7_R_demo
Week 8: Slides, Assignment4, Assignment4_Solution
Week 9: Slides, Assignment5, Assignment5_Solution
Midterm 2: Midterm2_Practice, Midterm2
Week 10: Slides, Assignment6, Assignment6_Solution
Week 11: Slides, Assignment7, Assignment7_Solution
Week 12: Slides, house_data, Example_1_data, demo_code
Final: Final_Practice, Final_practice_solution
Instructor for Simulation Analysis and Design (ISyE 3044, Summer 2024, around 40 students)
Instructor for Machine Learning and Applications (ISyE 4600, Spring 2025, around 40 students)
I wrote some lecture notes on my own for my undergraduate mathematics course study. Some notes are posted below.
MAT2006: Elementary Real Analysis (Fall 2018, Instructor: Prof. Weiming Ni)
MAT2040: Linear Algebra (Summer 2017, Instructor: Prof. Zhiquan Luo and Prof. Ruoyu Sun)
MAT3040: Advanced Linear Algebra (Spring 2019, Instructor: Prof. Daniel Wong)
MAT3006: Real Analysis (Spring 2019, Instructor: Prof. Daniel Wong)
MAT4002: Introduction to Geometry and Topology (Spring 2019, Instructor: Prof. Daniel Wong)
CIE6128: Understanding Deep Learning: A Theoretical Perspective from Optimization (Summer 2019, Instructor: Prof. Ruoyu Sun and Prof. Mingyi Hong)