
The Advanced (Graduate) Certificate in Computational Science is designed to provide students at the University at Buffalo with training in advanced scientific computing in combination with specialized education in traditional disciplines of science and engineering. Computational Science is an emerging discipline, uniting ideas of Mathematics and Computer Science together with applications arising in science and engineering. Computational Science is distinguished from Computer Science. Computer Science concerns the design of hardware and software for the computer systems of the future. Computational Science concerns the exploitation of current hardware and software to address large-scale computational problems that arise in fields of engineering and science.
This Certificate is a cooperative program involving the Center for Computational Research (CCR) and participating departments (currently including: Mathematics, Physics, Chemical Engineering, Mechanical and Aerospace Engineering and Computer Science and Engineering).
Students wishing to earn this Advanced Certificate must be admitted into a participating department, either in the graduate program (for a degree or for the Certificate) or in an approved 5-Year Combined BA-MA degree program. Students take courses required by the Certificate program (in addition to the courses required by their home department). Upon completion of these courses, the students earn the Certificate and the graduate degree from their home department.
Participating departments, in consultation with the Director of CCR will approve the awarding of the Advanced Certificate for students registered in that department.
More detailed information is available at: http://www.ccr.buffalo.edu/computational-sci/certificate-doc.htm
All students who are admitted to CSE M.S. or Ph.D. programs are eligible to earn this Certificate.
To earn the Certificate, the student must take the following courses:
All these courses can be used for regular CSE graduate degrees.
This concept scheme shows the new $75M Engineering building viewed from the southwest. A bridge connects the western face of the building to Ketter Hall. Jarvis Hall is seen on the right. In 2008, UB demolished the trailers that had occupied this site.
CSE faculty averages some $4.5 million annually in grants for research in areas that range from high-performance computing to data mining.
CSE faculty are major participants in the new $200 million Buffalo Center of Excellence in Bioinformatics.
CSE's MultiStore Research Group is funded by a $1 million NSF grant for the development of high-performance online data-storage systems.
A CSE-affiliated research center developed the systems that postal agencies around the world use for automatically sorting hand-addressed mail.
This concept scheme shows the new $75M Engineering building viewed from the northeast. Ketter and Furnas Halls can be seen on the left, just south of the new building. Ground-breaking is scheduled for 2009.
CSE faculty work with researchers in chemistry, the life sciences, the pharmaceutical sciences, media study, geography, and many other disciplines.
The CSE-affiliated Center for Computational Research is one of the leading academic supercomputing centers in the U.S.
The CSE faculty includes NSF CAREER award holders and ACM, IEEE, and AAAI fellows.
A geometric algorithm developed by CSE professor Jinhui Xu configures a set of radiation beams to destroy brain tumors in a form of computer-aided surgery.
This concept scheme shows the new $75M Engineering building viewed from the northwest. The edge of Ketter Hall is visible on the right, just east of the new building. Ribbon-cutting is scheduled for 2011.
CSE professor Aidong Zhang is developing intelligent content-analysis programs to automatically analyze images, replacing human coding of semantic content.
CSE professor Russ Miller is one of the authors of a program that can determine the structure of molecules as large as 2,000 atoms from X-ray diffraction patterns.
Pursuing work on document verification and identification, CSE researchers use machine-learning algorithms to study handwriting variability.
CSE Professor Russ Miller, along with Nobel Laureate Herbert Hauptman, developed an algorithm for crystal structure determination which is considered one of the top 10 algorithms of the 20th century by Computing in Science and Engineering Magazine.

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