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WORLDCOMP'08 Tutorial: Dr. Mingshen Wu

Last modified 2008-06-21 11:53

Teaching graph algorithms using Java online package IAPPGA
Dr. Mingshen Wu
Professor, Department of Math, Stat, & Computer Science
University of Wisconsin-Stout, Menomonie, Wisconsin, USA

Date: July 16, 2008
Time: 6:00 - 9:30 PM
Location: Copper Room

    Abstract

      Teaching and learning graph algorithms is a great challenge to both instructors and students. Instructors are seeking software that is specifically designed to demonstrate the algorithms and for students to learn these algorithms efficiently. The software program should be readily available and provide an environment so that students are able to review the algorithm, solve a practical problem, and intuitively study the working process via a graphical display all together. This paper presents an Internet Accessible Program Package for Graph Algorithms (IAPPGA) developed by the author. This package can be accessed via an Internet browser at any time, anywhere without downloading or installing any software. This tutorial session will introduce this package. You will be hands on to practice this software, and will be able to teach graph algorithms using this package.


    Objectives

      • Understand the importance and applications of graph algorithms
      • Review the main Java technologies used in IAPPGA, so that the audience may develop similar programs in the future
      • Learn the structure and features of IAPPGA
      • Hands on to practice IAPPGA, solving several practical problems
      • Discuss teaching/learning graph algorithms using IAPPGA.


Intended Audience

    • Instructors who teach a course that is graph algorithms related such as graph theory, computer languages, data structures, or algorithm analysis. This package provides a useful tool to demonstrate the graph algorithm in classroom.
    • Students who take a course that is graph algorithm related and students who are willing to self-study graph algorithms. You will be able to do it using this software.

Biography of Presenter

    Dr. Mingshen Wu earned Ph.D. in Discrete Mathematics, M.S. of Numerical Computations, and B.S. of mathematics. Dr. Wu is a professional Java programmer, and he has done many online programming for teaching and learning such as online program for matrix transformation, demo of eigenvalues and eigenvectors, and software for studying college math and calculus. Dr. Wu’s research interests are algorithms and complexity in numerical calculations & graph theory. Dr. Wu received UW-Stout and Wisconsin System’s Dahlgren Professorship Award, 2006 – 2008. This professorship is an award for excellent teaching and research. Mingshen’s publications are in numerical analysis, graph theory, and computer science. Dr. Wu has given presentations at different universities and conferences within and outside of the United States.

Academic Co-Sponsors

Computational Biology and Functional Genomics Laboratory, Harvard University, Cambridge, Massachusetts, USA


International Society of Intelligent Biological Medicine

Horvath Laboratory, University of California, Los Angeles (UCLA), USA
Minnesota Supercomputing Institute, University of Minnesota, USA
Functional Genomics Laboratory, University of Illinois at Urbana-Champaign, USA
BioMedical Informatics & Bio-Imaging Laboratory, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA
Intelligent Data Exploration and Analysis Laboratory, University of Texas at Austin, Austin, Texas, USA
Biomedical Cybernetics Laboratory, HST of Harvard University and MIT, USA
Center for the Bioinformatics and Computational Genomics, Georgia Institute of Technology, Atlanta, Georgia, USA
Harvard Statistical Genomics and Computational Laboratory, Harvard University, Cambridge, Massachusetts, USA
Bioinformatics & Computational Biology Program, George Mason University, Virginia, USA
Hawkeye Radiology Informatics, Department of Radiology, College of Medicine, University of Iowa, Iowa, USA
Medical Image HPC & Informatics Lab (MiHi Lab), University of Iowa, Iowa, USA
The University of North Dakota, Grand Forks, North Dakota, USA
PSU - Prince Sultan University, Saudi Arabia
Institute for Informatics Problems of the Russian Academy of Sciences, Moscow, Russia.
NEMO/European Union at Institute of Discrete Mathematics and Geometry, TU Vienna

Corporate Sponsors






Other Co-Sponsors

High Performance Computing for Nanotechnology (HPCNano)

International Technology Institute (ITI)


GRIDtoday


HPCwire

Hodges' Health



 


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