This program, focused on Simulation Modeling and Analysis, offers comprehensive and up-to-date coverage of simulation techniques. It's designed for both university courses and professional practice, providing clear explanations and numerous examples. The curriculum delves into various aspects of simulation studies, including modeling, software, validation, input analysis, random number generation, output analysis, and experimental design. It also incorporates modern approaches like agent-based simulation, system dynamics, and the integration of AI and machine learning with simulation modeling. This sixth edition has been streamlined to focus on essential and currently used techniques.
The Single Cell Analysis Boot Camp is an intensive three-day virtual training program designed to equip health and research professionals with the skills to analyze single-cell RNA sequencing (scRNA-Seq) data. The program covers foundational concepts, advanced systems biology methods for interpreting high-dimensional data, and the integration of spatial transcriptomics. Participants will learn to process, analyze, and interpret scRNA-Seq data, including quality control, clustering, cell type identification, and regulatory network analysis. The third day is dedicated to spatial transcriptomics, focusing on data analysis and understanding microenvironmental interactions, with select topics on AI applications in transcriptional data analysis. This workshop is led by experts who have pioneered network biology and single-cell analysis methodologies. It aims to provide participants with the practical knowledge needed to plan and execute scRNA-seq and spatial data analyses for real-world health studies.