Computational Science and Engineering (CS&E)

Programs, including Industrial Mathematics

• University of California at San Diego: Computational Science & Engineering (CS&E)
  {BS, MS and PhD in CS&E, Computer Science or Computer Engineering }

• Clemson University: Computational Science & Engineering Program (CS&E)
  {Master's Degree in CS&E}

• University of Illinois at Chicago: Computational Science & Applied Mathematics (CSAM)
  {PhD in Mathematics with Major in Computational Science cluster of Mathematical Computer Science program or any cluster in Applied Math program }

• University of Illinois at Urbana: Computational Science & Engineering Option (CS&E)
  {MS and PhD in Participating Depts with Minor Certificate in CS&E }

• Indiana University at Bloomington: Scientific Computing Program
  {Graduate Level Minor?}

• University of Iowa: Applied Mathematics and Computational Sciences Program
  {PhD in Interdiciplinary AMCS Program}

• University of Michigan: Lab for Scientific Computation (LaSC)
  {PhD in Participating Depts with Specialization in Scientific Computing }

• Minnesota Center for Industrial Mathematics (MCIM):
  Graduate Program in Industrial and Applied Mathematics
            {MS and PhD in Math with Emphasis in Industrial and Applied Math}

• Pennsylvania State University: High Performance Computing (HPC) Minor
  {Graduate Minor in High Performance Computing (Spring 1997)}

• Purdue University: Computational Science & Engineering Specialization (CS&E)
  {MS and PhD in Participating Depts with Specializations in CS&E}

• Rice University: Computational Science & Engineering (CS&E)
  {MS and PhD in CS&E}

• Salve Regina University: Computational Science
  {Undergraduate Minor Offered by the Departments of Chemistry and Mathematical Sciences}

• Stanford University: Scientific Computing/Computational Mathematics Program (SCCM)
  {MS and PhD in SCCM}

• Syracuse University NPAC: Computational Science Program (CPS)
  {Undergraduate Minor; MS and PhD in Participating Dept with Certificate in Program}

• Texas Institute for Computational and Applied Mathematics (TICAM) Program
  {MS and PhD in CAM}

• University of Utah: Computational Engineering & Science Graduate Program (CE&S)
  {PhD in Participating Depts with Certificate in CE&S Minor}

• Center for Scientific Computing, Finland: Intensive Course on Computational Science

• DOE Undergraduate Computational Engineering and Sciences (UCES) Project

• DOE & Vanderbilt University: Computational Science and Engineering Project (CSEP)

• University of California at Berkeley: CS267 Applications of Parallel Computers by Jim Demmel

• University of Colorado at Boulder: Introduction to High Performance Scientific Computing by Professors Fosdick, Jessup, Schauble and Domik {Also related on-line materials to their book.}

• University of Illinois at Chicago: MCS 572 Introduction to Supercomputing by Floyd B. Hanson

• University of Illinois at Chicago: MCS 572 Compilation ofOn-Line Web Supercomputing and Related Texts

• University of Illinois at Chicago: EECS 566 Parallel Processing Course by Professor Alex Veidenbaum

• University of Illinois at Urbana: CSE 301 Scientific Computing, An Introductory Survey by Michael T. Heath

• University of Illinois at Urbana: CSE 302 Introduction to Parallel Programming by P. Banerjee

• MIT: 18.337 Parallel Scientific Computing by Alan Edelman

• Oregon State University: Computational Physics Course by Rubin H. Landau

• Pennsylvania State University: High Performance Computing Courses

• Committee on Institutional Cooperation (CIC): Computational Science and Engineering Web Resources

• Educational Programs in Computational Science and Engineering at Quick Glance (6/9/94 postscript)

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Web Source: http://www.math.uic.edu/~hanson/CSE-Programs.html

Email Comments or Questions to Professor Hansono