Scientific Computing Minor

Scientific computing is an interdisciplinary, interdepartmental graduate minor recognizing important changes that have introduced a powerful and essential mode of scientific research. The increasing availability of high-performance computers has led to a method of scientific inquiry based on mathematical models solved by means of numerical computations, analyzed and viewed by means of advanced computer graphics. Carrying out research by these means is necessarily multidisciplinary, calling on advanced skills in areas that span many classical divisions of academia. The Ph.D. minor in scientific computing provides the interdepartmental education necessary to equip students for research within this paradigm. Scientific computing courses are generally organized into four categories: numerical analysis, scientific applications, scientific visualization, and high-performance computing. Students are encouraged to develop expertise in more than one of those areas.

Twelve (12) credit hours in approved courses, 6 credit hours of which must be outside the student's major department. The course P573 Introduction to Scientific Computing I has been created as an introductory course for students in the program. Students entering with a background in computational science or engineering, in consultation with their advisor on the Scientific Computing Committee, may omit this course from their curriculum.

Students develop their course of study with two faculty: one from the student's home department and the other a member of the Graduate Committee on Scientific Computing from outside the student's home department. The proposed course of study will be submitted for approval by the Graduate Committee on Scientific Computing. If approved, a letter detailing the course of study will be signed by the director with copies given to the student and the student's home department. Significant changes to the course of study need to undergo the same process of development and approval. Certification of completion of the minor requirements will be by the director or an appointed representative.

Courses that can be used to satisfy the Scientific Computing minor requirement include, but are not limited to, the following list:

• A550 (Astronomy), A570 (Astronomy), A575 (Astronomy-but only when the final project is a computational one as certified by the instructor.)
• B565 (CSCI), P573 (CSCI), B673 (CSCI), B649-Introduction to High Performance Computing (CSCI)
• C668 (Chemistry)
• ENGR-E599 (Intelligent Systems Engineering)
• P410 (Physics), P609 (Physics), P610 (Physics), P700 (Physics)
• M441 (Mathematics), M442 (Mathematics), M471 (Mathematics), M472 (Mathematics), M571 (Mathematics), M572 (Mathematics)
• G514 (Geological Sciences), G612 (Geological Sciences), and G614 (Geological Sciences)

Director: Associate Professor Srinivasan S. Iyengar

The Scientific Computing program operates through an IU canvas website. Access to this site is restricted to students that are currently enrolled in the program and faculty members serving as part of this program. If you are a student or faculty who wishes to have access to the information contained in the canvas website, please email Srinivasan Iyengar.

If you are already listed as a student in this program, you can post a message in the canvas site.

Interdepartmental Graduate Committee on Scientific Computing

The Scientific computing graduate committee currently comprises faculty from Astronomy, Biology, Chemistry, Geography, Geological Sciences, Intelligent Systems Engineering, Informatics and Computer Science, Physics, Psychology and Brain Science, and Statistics.

Yong-Yeol Ahn, Assistant Professor, Informatics and Computing

Randall Bramley, Professo,r Informatics

Jerome Busemeyer, Distinguished Professor and Provost Professor, Psychological and Brain Sciences

Haldan Cohn, Professor Emeritus, Astronomy

Darren L. Ficklin, Professor, Geography

Steven Gottlieb, Emeritus Distinguished Professor, Physics

Matt Hahn, Distinguished Professor, Biology

Taehee Hwang, Associate Professor, Geography

Charles Horowitz, Emeritus Professor, Physics

Srinivasan Iyengar, Professor, Chemistry

Vikram Jadhao, Assistant Professor, Intelligent Systems Engineering

Kaj Johnson, Professor, Earth and Atmospheric Sciences

Michael Jolly, Professor, Mathematics

Phyllis Lugger, Professor, Astronomy

Ryan R. Newton, Adjunct Associate Professor, Computer Science

Peter Ortoleva, Distinguished Professor Emeritus, Chemistry

Gary Pavlis, Professor Emeritus, Earth and Atmospheric Sciences

Franco Pestilli, Adjunct Associate Professor, Psychology and Brain Science

Beth Plale, Professor, Computer Science

Judy Qiu, Associate Professor, Intelligent Systems Engineering

Krishnan Raghavachari, Distinguished Professor, Chemistry

Scott Robeson, Professor, Geography

Sima Setayeshgar, Professor, Physics

Thomas Sterling, Professor Intelligent Systems Engineering

Martin Swany, Professor Intelligent Systems Engineering

Roger Temam, College Professor Emeritus, Mathematics

Michael Trosset, Professor, Statistics

Enrico Vesperini, Professor, Astronomy