Purdue University CRI Educational Programs www'cri'purdue'edu

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Purdue UniversityCRI Educational
Programswww.cri.purdue.edu

• T. J. Downar
• Professor, Nuclear Engineering
• Director, CRI Educational Programs

Jyoti Mathur, PhD Coordinator, CRI Educational
Programs
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Overview

• Computational Science and Engineering (CSE)
• Computational Life Sciences (CLS)
• New Programs In Planning (e.g. Visualization/Perce
  ption)

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www.cse.purdue.edu
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Program Overview

• Founded in the Fall of 1995 by John Rice and
  Elias Houstis as an interdisciplinary graduate
  specialization program.
• CSE is open to graduate students admitted to a
  home department but who are interested in
  performing research with a computational science
  and engineering specialization.
• CSE is offered at both the MS and Ph.D. level
  Computational Engineering for students in home
  departments of the schools of engineering and
  Computational Science for students in home
  departments of the other schools.

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Administration

• CSE Program Director
• Tom Downar (NE), 2001 - present
• Elias N. Houstis (CS), 1995 - 2001
• CSE Program Coordinator
• Jyoti Mathur (CS), 1995 - present
• CSE Graduate Committee
• One CSE faculty member from each active home
  department is a member of the graduate committee
  along with the CSE director and coordinator.

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CSE Funding

• One source of funding for CSE administration is
  from Purdue University.
• In 2001, the Academic Reinvestment Program of
  Purdue awarded a reoccurring grant of 50,000 per
  year to the proposal titled Computational
  Science and Engineering Educational Program
  submitted by the CSE program.
• The grant is used primarily to pay the salary of
  the CSE program coordinator, Dr. Jyoti Mathur,
  who now also coordinates the CLS and ISSE
  programs.

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Home Departments/Faculty

• 96 faculty members from 18 departments in 5
  Colleges at Purdue participate in CSE program
• Schools of Engineering
• AAE(5), ECE(15), ME(4), NE(4)
• School of Science
• BIOL(6), CHEM(5), CS(16), EAS(9), MATH(7),
  PHYS(9), STAT(5)
• School of Agriculture
• ABE (1), AgE(3), FS(1), AGRY(1)
• School Liberal Arts
• PSYCH(1)
• School of Pharmacy
• IPPH(2), MCMP(2)
• (number of participating faculty)

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Students1995-2004
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Curriculum

• Course load 1/3 course load from computing
  2/3 course load from masters or doctoral degrees
  in home departments.
• For students with home department as CS or ECE,
  the 1/3 course load should be from outside
  department application area.
• The courses in computing are chosen from the list
  of Core courses and the list of Relevant Courses.
  These lists prepared by the CSE graduate
  committee.
• CSE students attend and give talks in the weekly
  CSE Seminar Series
• Upon successful completion of CSE program, the
  CSE is listed as a specialization on the
  students transcript

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CS 501Introduction to Computational Science

• This is the introductory course of the
  Computational Science and Engineering Program.
• The objective of this course is to familiarize
  students from various disciplines in the science
  of problem solving.
• This includes basic computational tools (Matlab,
  Mathematica, PSEs), computational kernels of
  important problems, and core techniques for
  solving the problems.
• It emphasizes computer simulations as an an
  important design tool, the role of high
  performance computing in large scale simulations,
  and the "Grand Challenge type problems.

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CS 501Introduction to Computational Science

• Year Taught Students Professor
• Fall 95 18 Sajiva Weerawarana (CS)
• Fall 96 9 Ananth Grama (CS)
• Fall 97 10 John Rice (CS)
• Spring 99 11 John Rice (CS)
• Fall 01 27 Elisha Sacks (CS)
• Spring 03 25 Ananth Grama (CS)
• Fall 03 15 Scott King (EAS)
• Fall 04 14 Robert Skeel (CS)

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Core Courses

• Introduction to CSE
• CS 501- Introduction to Computational Science
• Computational Mathematics
• CS 514 - Numerical Analysis Iterative methods
• CS 515 - Numerical Analysis of Linear Systems
• ME 581 - Numerical Methods.
• High Performance Computing
• CS 525 - Parallel Computing
• EE 563 - Programming Parallel Machines
• Intelligent Computing
• CS 572 - Heuristic Problem Solving Design
• EE 570 - Programming Techniques for Artificial
  Intelligence
• Scientific Visualization
• CS 530 - Introduction To Scientific Visualization
  
• EE 628 - Computer Graphic Simulation and
  Visualization
• Computational Optimization
• CS 520 - Computational Methods in Analysis.
• EE 580 - Optimization Methods for Systems and
  Control

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Seminar Series 02-03(SAMPLE TALKS FROM FALL 02)
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Student AwardsSummary (2000-2005)
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CSE Future Plans

• Modularize CS 501 and Integrate it with the
  Computational Life Sciences Modules
• Create more CSE scholarship/fellowship offerings
• Recruit more schools/departments into CSE (e.g.
  Krannert)
• Expand coordination with other CRI Ed. Programs
• Joint colloquium/workshop/short course offerings
• CSE Student participation in CRI research
• Offer an annual CSE Workshop on campus w/
  CRI/ITAP

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Purdue University

• CLS Program
• Interdisciplinary Graduate Program
• In Computational Life Sciences
• Director Michael Gribskov, BIOL
• Coordinator Jyoti Mathur, CRI
• www.gradschool.purdue.edu/cls/
• Fall, 2004

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Computational Life Sciences

• In 2003, the faculty from several schools in
  Science and Engineering initiated the development
  of an Interdisciplinary graduate specialization
  program in Computational Life Sciences (CLS)
• The goal of the program is produce students in
  the life sciences with well developed
  computational skills which can prepare them for
  discovery and implementation of algorithms that
  facilitate understanding of biological processes.
• In the Fall of 02, a CRI led committee with
  members from Biology, Chemical Engineering,
  Computer Science, Statistics, and Agronomy began
  meeting to formulate the program using the CSE
  program as a template.

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CLS Planning Committee

• J. Caruthers (CHME)
• R.Doerge (STAT AGRY)
• T. Downar (NE)
• C. Hoffmann (CS)
• R. Howard (BIOL)
• M. Levy (BIOL)
• J. Mathur (CSE)
• L. McIntyre (AGRY)
• A. Sameh (CS)
• K. Simonsen(STAT)
• Jim Goldman (CPT)

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CLS Modules

• Life Sciences
• Molecular Biology and Bioinformatics
• Proteomics
• Computational Methods for Life Sciences
• Visualization and Numerical Methods in Life
  Sciences
• Model and Algorithms in Life Sciences
• Engineering Models for Life Sciences
• Thermodynamic and Kinetics in the Life Sciences
• Transport Processes in Life Sciences
• Statistics for Life Sciences
• Probability
• Statistics
• Computer Technology
• Biomedical Systems Architectures
• Biomedical Systems Analysis and Design

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CLS Charter Departments

•  

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Summary

• Three CRI Educational Programs exist at various
  levels of development
• Computational Science and Engineering (CSE) has
  matured as an Area of Specialization (AOS) and is
  ready to apply for Field of Study designation.
• Computational Life Sciences (CLS) has completed a
  draft manual and the heads for the charter
  departments will seek faculty approval in the
  Fall. Area of Specialization (AOS) status will
  then be requested and course offerings should
  begin in AY04/05.
• Information Systems Science and Engineering
  (ISSE) curriculum/manual planning will continue
  through the Fall semester AY2003/04.
• It is envisioned that all three programs will
  have their own director/graduate committee but
  will continue to have a common coordinator and
  oversight through CRI.
• It is envisioned that other computational
  interdisciplinary programs will be developed as
  the need arises.