Courses
- MATH 150-01: Predictability (Leah Shaw)
- MATH 352-01,02: Statistical Data Analysis (Heather Sasinowska)
- MATH 410-02: Data Science: theory and computation (Sarah Day and Laura Storch)
- MATH 442: Partial Differential Equations (Junping Shi)
- MATH 451-01,02: Probability & Statistics (Heather Sasinowska, Larry Leemis)
- MATH 452/552: Mathematical Statistics (Ross Iaci)
- CSCI 618: Model/Applications Operational Research (Rex Kincaid)
- CSCI 648: Network Optimization (Anke van Zuylen)
- CSCI 678: Analysis of Simulation Models (Larry Leemis)
- CSCI 688-01: Optimization Machine Learning (Anh Ninh)
- CSCI 688-02: Economic Aspects of Internet (Anke van Zuylen)
- APSC 450: Computational Neuroscience (Greg Smith)
- APSC 456: Random Walks in Biology (Leah Shaw)
Spring 2017
- MATH 150-01: Data-Driven Decision Making (Larry Leemis)
- MATH 150-02: Predictability (Leah Shaw)
- MATH 332: Graph Theory & Applications (Gexin Yu)
- MATH 352: Statistical Data Analysis (Heather Sasinowska)
- MATH 410-02: Data Science: theory and applications (Chi-Kwong Li and GuanNan Wang)
- MATH 442: Partial Dierential Equations (Junping Shi)
- MATH 451: Probability & Statistics (Ross Iaci)
- MATH 452/552: Mathematical Statistics (GuanNan Wang)
- CSCI 648: Network Optimization (Anke van Zuylen)
- CSCI 658: Discrete Optimization (Rex Kincaid)
- CSCI 688-03: Supply Chain Optimization (Anh Ninh)
- APSC 450: Computational Neuroscience (Greg Smith)
- APSC 456: Random Walks in Biology (Leah Shaw)
- APSC 490: Matroid Theory (Greg Smith)
Fall 2016
- APSC 210: Predictability (Leah Shaw)
- MATH 410: Mathematical models in economics (Junping Shi)
- MATH 410: Computational Dynamics (Sarah Day)
- MATH 410: Data Analysis (Sarah Day)
- MATH 410: Applied Linear Algebra (Chi-Kwong Li)
- MATH 410: Applications of Machine Learning (Daniel McGibney).
Spring 2016
- MATH 352: Data Analysis (Daniel McGibney)
- MATH 410-02: Analysis of Big Data (Gexin Yu, Anh Ninh, Guan-Nan Wang)
- MATH 451: Probability & Statistics (Hyunchul Park)
- MATH 452/552: Mathematical Statistics (Ross Iaci)
- MATH 410-03/CSCI 618: Model/Applications Operation Research (Rex Kincaid)
- MATH 410-04/CSCI 688-01: Optimization Machine Learning (Anh Ninh)
- MATH 459/CSCI 688-03: Statistical Data Mining (Guan-Nan Wang)
- CSCI 688-02: Internet Algorithms & Econ (Anke van Zuylen)
Spring 2015
- MATH 352: Data Analysis (Daniel McGibney)
- MATH 410-02: Analysis of Big Data (Junping Shi and Gexin Yu)
- MATH 452/552: Mathematical Statistics (Ross Iaci)
- CSCI 648: Network Optimization (Anke van Zuylen)
- CSCI 658: Discrete Optimization (Larry Leemis)
- CSCI 688: Stochastic Optimization (Frans Schalekamp)
Spring 2014
- MATH 352: Data Analysis (Tanujit Dey)
- MATH 410-01/CSCI 688-02: Internet Algorithms & Econ (Anke van Zuylen)
- MATH 410 - 07: Analysis of Big Data (Tanujit Dey and Junping Shi)
- MATH 452/552: Mathematical Statistics (Tanujit Dey)
- CSCI 618: Model/Applications Operation Research (Rex Kincaid)
- CSCI 678: Analysis of Simulation Models (Larry Leemis)
- CSCI 688-01: Combinatorial Optimization (Frans Schalekamp)
