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Find this information under ITBasics on the
DiscoverIT page in My iMpact.
The Research Computing group provides extensive support for the research needs of
faculty and PhD students. A high-performance computing environment allows for
computationally intensive calculations and analysis. Services include: financial
data retrieval, programming development, statistical consultation, research
computer account administration, research software support, and individual
training as well as workshops and online help resources.
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The new research computing environment consists of
several high-performance servers in a grid configuration running Red Hat Enterprise Linux.
These systems are designed to run computationally intensive numerical
calculations as well as large scale statistical applications. All nodes are
connected to the Business School main network and, in turn, to desktop
computers located in offices here, at home, and around the world. Available
software includes mathematical and statistical software; compilers and development tools;
and internet tools.
How to Get an Account
Accounts on the RC systems are separate from the main Business School
network accounts. Please contact
Paul Michaud
to request an account. |
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Research Computing maintains over 50 research
datasets that were identified and funded by the various departments and faculty
of the Business School and made available to the entire community with no
additional fees. View WRDS information
View locally maintained data set resources
In addition to numerical databases and services,
the Kresge Library offers a collection of databases containing Electronic
Journals. Kresge offers extensive research assistance for faculty including
services such as literature and citation searches and data retrieval.
View Kresge Library A to Z database listing |
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Research Assistance Services |
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Our specialists can
assist you with your teaching or research project in such areas as
statistical consulting, data retrieval, computing programming, the
use of our research computing hardware environment, and on the use
of some of the more common statistical packages (such as SAS and
SPSS).
Statistical Consultations
- Selection of methodology methods and
statistical software packages
- Interpretation of statistical data and
computational results
- Methodological and quantitative analysis,
including statistical modeling
Data Retrieval
- Retrieve data from subscription data sets
using WRDS or locally developed computer programs, scripts, etc. and
coordinated with the Kresge Library as part of the Faculty Research Service.
- Perform data manipulation to merge and edit
data from subscription, custom or self-collected data sources
The Kresge Library's Faculty Research Service
offers extensive research assistance for faculty including services such as
literature and citation searches, data retrieval and information compilation on
companies industries and topics. For more information, link to the
Faculty Research Service.
Computer Programming
- Develop specialized computer programs for
data extraction and analysis, data manipulation and statistical analysis.
- Assist with SAS macro programming for data
extraction from WRDS.
Training & Support
- Provide instruction and access support for
research databases and statistical software programs.
- Help transferring of data between
applications, platforms and external systems.
- Provide individual training and
trouble-shooting.
- Provide regular workshops
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PhD Lab
Doctoral students access a suite of research database
resources in this unique computing area.
Behavioral Lab
The
Behavioral Lab is used by faculty and students to conduct
studies on human behavior. It has three rooms: one large office
and two small break-out rooms. All are equipped with a mobile
video camera with zoom capability and can record and store data
in VHS or DVD formats. The large room has a projector and
screen. Additional equipment includes 15 laptop computers which
may be used in the lab. From filling out surveys to working in
interdependent groups, a wide variety of studies may be
conducted in the lab.
E-Lab at the Tozzi Center
Dedicated to the research, practice, and teaching of
electronic commerce and electronic business, providing a broad perspective on the way information
technology is transforming business by looking at both
technical and social issues of relevance.
Tozzi Financial Center
Students experience the look and feel of a trading floor
environment in this 5,800-square-foot building which includes a financial analysis and
trading floor classroom. It is equipped with the latest
in live financial data feeds, information services,
research tools and trading tools.
eClassroom at the Tozzi Center
Students and faculty experience action-based learning in
this classroom that uses wireless technology and dynamic
classroom configurations to support action-based
learning. |
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Grid Resources
This quick reference guide provides key commands for fully utilizing the grid computing environment.
Grid Command Quick-Reference (pdf)
Forgot the new hostname? The following PDF contains the authentication information required to log on to the grid.
Authentication
This series of sites displays utilization of many of the grid's resources, including network, CPU, and memory utilization.
Grid Utilization
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Research Computing provides a range of
commercially licensed software for use by faculty and PhD students on the
research computing server and PhD lab environments. Software beyond what is
provided is funded in conjunction with departments or faculty, and then usually
made available to the entire community with no further fees. Faculty who which
to use the software on their office or home computers are entirely responsible
for the cost of the software license. In all cases, the software is licensed for
academic purposes only.
List of
available software packages, including mathematical/statistical packages,
compilers, and editors/tools.
In addition, the central University provides a Statistical and Computational
Service (SCS) that supports mathematical, statistical and geographic information
systems (GIS) programs, as well as compilers and editors/tools. This service is
available to anyone who has a University uniqname.
Information
about the University's Statistical and Computational Service. |
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Research Software/Data
Acquisition |
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Research Computing provides a variety of
statistical and data analysis programs plus many subscription and custom data
sets of financial and corporate data (see Data Sets). In cases where the
collection or programs and data sets does not satisfy a research need, faculty
and PhD students can submit requests for additions to the RC environment.
All requests will be handled as follows:
1. Receive request
2. Conduct an Interest Survey among Faculty & PhD students.
3. Analyze survey results and take appropriate actions
Actions taken conform to the following guidelines:
- Little or no response to survey
The Requestor will need to come up with funding.
- Moderate to Strong response to survey, concentrated in few departments
The interested departments, along with the Requestor, will need to come up with
funding. Research Computing can help with the negotiation of cost-sharing if
desired.
- Moderate to Strong response to survey spread over all departments
Computing Services and/or the Kresge Library will contribute some or all of the
funding and help build a cost-sharing plan for the remainder.
The threshold of response required to attain the categories Little, Moderate and
Strong varies directly with the cost of the software/dataset. That is, the
higher the cost the higher the category cut-offs.
In all cases, if the data/software is funded, Computing Services and/or the
Kresge Library will make the purchase, and install, maintain, and support the
software or data set. |
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Research Business Office
Services
Contact Maureen Burns
moburns@umich.edu, Director of Research &
Faculty Support for more information. (734-615-5067)
Kresge Library Faculty Research Services
- Literature and citation searches
- Data retrieval
- Information compilation on
companies industries and topics.
For more information, link to the
Faculty Research Service
web page.
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