Emplacement
Dates
Présentation
The summer school aims at introducing students, junior faculty members, and young researchers to important theories and applications of data visualization, statistical and mathematical modeling, and various mathematical tools for model analysis. There will be seven courses which will cover a variety of topics from data modeling to in-depth analysis and mathematical justifications for data-based decision making. The summer school will emphasize on preprocessing a wide variety of data sets, designing data driven hypotheses, developing statistical models to extract relevant inferences, developing data-driven mathematical models, and using modern methods from matrix algebra, knot theory and mathematical analysis to analyze mathematical models.
Langue officielle de l'école : anglais.
Coordinateurs administratifs et scientifiques
Programme scientifique
Cours 1: "Data Visualization and Statistical Inference", Daniel Kaplan (Macalester College, USA)
Cours 2: "Data Modeling and Model Diagnostics", Keshav Pokhrel (University of Michigan-Dearborn, USA) & Gauri Shrestha (Central Department of Statistics, Népal)
Cours 3: "Basics and New Trends of Matrix Theory and Applications", Abdenacer Makhlouf (Université de Haute Alsace, France)
Cours 4: "Mathematical Models", Naveen Vaidya (San Diego State University, USA)
Cours 5: "Large-scale Modeling, Rigidity Theory and Application", Adnan Sljoka (Kyoto University, Japon)
Cours 6: " Introduction to Knot Theory and Applications to Biology", Mohamed Elhamdadi (University of South Florida, USA)
Cours 7: "Analysis of Nonlinear Partial Differential Equations Instructors", Maya Chhetri (University of North Carolina at Greensboro, USA) & Dhruba Adhikari (Kennesaw State University, USA)
Site internet de l'école
Comment participer
Pour s'inscrire et candidater à un financement CIMPA, suivre les instructions données ici.
Date limite d'inscription et de candidature : 1er février, 2023
Date limite d'inscription : février 1, 2023