EINLADUNG
zum Wirtschaftstheoretischen Forschungsseminar der Wiener Universit=E4ten gemeinsam mit dem Institut f=FCr H=F6here Studien und der National=F6konomischen Gesellschaft
5. Dezember 1996
16.00 Uhr: Winand Emons (Universit=E4t Bern) "Expertise, Contingent Fees, and Excessive Litigation"
17.30 Uhr: Thomas GEHRIG (Universit=E4t Basel) "Excessive Risks and Banking Regulation"
Ort: Institut f=FCr H=F6here Studien, Stumpergasse 56, 1060 Wien, H=F6rsaal II
Papers zu den Vortr=E4gen liegen (soweit vorhanden) im Sekretariat des Instituts f=FCr Wirtschaftswissenschaften, Hohenstaufengasse 9, 1010 Wien, 5. Stock, am IHS (Abteilung =D6konomie) und im BWZ, Lehrstuhl Cleme= nz, Sekretariat Fr. Kellner, auf.
Die n=E4chsten Vortr=E4ge finden voraussichtlich am 16. J=E4nner und am 23= . J=E4nner 1997 statt.
Egbert Dierker =========================================================================
From compfin@cse.ogi.edu Sun Mar 19 17:27:57 2000
Date: Tue, 26 Nov 1996 12:14:52 -0800 (PST)
From: Computational Finance compfin@cse.ogi.edu
To: devfinance@lists.acs.ohio-state.edu, corryfee@mundo.eco.utexas.edu, scelist@mundo.eco.utexas.edu, csemlist@mundo.eco.utexas.edu, snde_l@email.rutgers.edu, comp_finance@teleport.com, economics majordomo@mundo, finance@vm.temple.edu, listserve@templevm.bitnet Subject: Computational Finance at the Oregon Graduate Institute Status: RO X-Status: X-Keywords: X-UID: 218
=======================================================================
COMPUTATIONAL FINANCE at the Oregon Graduate Institute of Science & Technology (OGI)
Masters of Science Concentrations in Computer Science & Engineering (CSE) Electrical Engineering (EE)
Now Reviewing MS Applications for Fall 1997! Early Decision Deadline: January 15 (Decisions by February 15) Final Deadline: March 15 (Decisions by April 15)
New! Certificate Program Designed for Part-Time Students.
For more information, call the OGI Office of Admissions (503)690-1027, or visit http://www.cse.ogi.edu/CompFin/ =======================================================================
Computational Finance Overview:
Advances in computing technology now enable the widespread use of sophisticated, computationally-intensive analysis techniques applied to finance and financial markets. The real-time analysis of tick-by-tick financial market data, and the real-time management of portfolios of thousands of securities is now sweeping the financial industry. This has opened up new job opportunities for scientists, engineers, and computer science professionals in the field of Computational Finance.
The strong demand within the financial industry for technically- sophisticated graduates is addressed at OGI by the Masters of Science and Certificate Programs in Computational Finance. Unlike a standard two year MBA, the programs are directed at training scientists, engineers, and technically-oriented financial professionals in the area of quantitative finance.
The Masters programs lead to a Master of Science in Computer Science and Engineering (CSE track) or in Electrical Engineering (EE track). The MS programs can be completed within 12 months on a full time basis. In addition, OGI has introduced a Certificate program designed to allow professionals in engineering and finance a way of acquiring skills or upgrading their skills in quantitative finance on a part-time basis.
The Computational Finance MS concentrations feature a unique combination of courses that provide a solid foundation in finance at a non-trivial, quantitative level, plus training in the essential core knowledge and skill sets of computer science or the information technology areas of electrical engineering. These skills are important for advanced analysis of markets and for the development of state-of-the-art investment analysis, portfolio management, trading, derivatives pricing, and risk management systems.
The MS in CSE is ideal preparation for students interested in securing positions in information systems in the financial industry, while the MS in EE provides rigorous training for students interested in pursuing careers as quantitative analysts at leading-edge financial firms.
The curriculum is strongly project-oriented, using state-of-the-art computing facilities and live/historical data from the world's major financial markets provided by Dow Jones Telerate. Students are trained in using high level numerical and analytical packages for analyzing financial data.
OGI has established itself as a leading institution in research and education in Computational Finance. Moreover, OGI has very strong research programs in a number of areas that are highly relevant for work in quantitative analysis and information systems in the financial industry.
----------------------------------------------------------------------- Admissions -----------------------------------------------------------------------
Applications for entrance into the Computational Finance MS programs for Fall Quarter 1997 are currently being considered. The deadlines for receipt of applications are: January 15 (Early Decision Deadline, decisions by February 15) March 15 (Final Deadline, decisions by April 15)
A candidate must hold a bachelor's degree in computer science, engineering, mathematics, statistics, one of the biological or physical sciences, finance, econometrics, or one of the quantitative social sciences. Candidates who hold advanced degrees in these fields or who have experience in the financial industry are also encouraged to apply.
Applications for the Certificate Program are considered on an ongoing basis for entrance in any quarter.
---------------------------------------------------------------------- Contact Information ----------------------------------------------------------------------
For general information and admissions materials:
Office of Admissions Oregon Graduate Institute P.O.Box 91000 Portland, OR 97291-1000
E-mail: admissions@admin.ogi.edu Phone: (503)690-1027 WWW: http://www.cse.ogi.edu/CompFin/
For special inquiries:
E-mail: compfin@cse.ogi.edu
======================================================================
------------------------------------------------------------------ Dr. Andrea Gaunersdorfer Department of Business Administration University of Vienna Tel.: +43-1-29 1 28-466 Bruenner Strasse 72 FAX: +43-1-29 1 28-464 A - 1210 Wien e-mail: gauner@finance2.bwl.univie.ac.at