Undergraduate course, Renmin University of China, 2025
This is an applied stochastic processes course lectured by Prof. Yugu Xiao from the School of Statistics, Renmin University of China. The course covers 5 major sections in stochastic processes: Poisson Processes, Renewal Processes, Markov Chains, Martingales, and Brownian Motion. Advanced topics such as stochastic calculus is not covered in this course.
Undergraduate course, Renmin University of China, 2025
This is an applied introductory course on parallel computing lectured by Yanbing Bai from the School of Statistics, Renmin University of China. This courses mainly focuses accelerating the computation of large-scale satellite data using parallel computing techniques, such as multiprocessing, threading, OpenMP, MPI, and CUDA.
Undergraduate course, Renmin University of China, 2025
This is a math-intensive optimization methods course lectured by Prof. Feng Zhou from the School of Statistics, Renmin University of China. The course covers basic topics in optimization methods, including linear search methods, unconstrained optimization and constrained optimization.
Undergraduate course, Renmin University of China, 2025
This is a comprehensive course on multimodal machine learning lectured by Prof. Wenbing Huang from GSAI, Renmin University of China. This course predominantly focuses on recent advances in Computer Vision, Vision Language Model (VLM) and Multimodal Large Language Model (MLLM).
Undergraduate course, Renmin University of China, 2024
This is a math intensive machine learning course lectured by Prof. Hongteng Xu from GSAI, Renmin University of China. The course has a focus on the mathematical derivations and theorems behind machine learning algorithms, covering four major topics in statistical machine learning: Regression, Dimensionality Reduction, Clustering, and Classification.