A+B. Intro_SJ.1 - University of Maryland University College

BIOT 642 The Selection and Evaluation of Biotechnology
Projects (3)
(Formerly BTMN 642.) This course applies the methodologies
of technology forecasting, technology assessment, project management,
and data auditing to the selection and evaluation of
biotechnology projects. The underlying rationale, principles,
p ro c e d u res, and cost effectiveness of data auditing are examined.
A systems approach to performance evaluation is presented.
Managing the safety aspects of biotechnology is stressed.
BIOT 643 The Techniques of Biotechnology (3)
(Formerly BTMN 643.) This course offers a comprehensive
re v i ew of the technologies in use today in biotechnology re s e a rc h
and applications. Modern techniques used in genetic engineering,
sequencing, cloning, etc. are discussed. The development
and use of these techniques are placed in a historical context.
BIOT 644 The Regulatory Environment of
Biotechnology (3)
(Formerly BTMN 644.) This course provides a comprehensive
review of the role of regulation in biotechnology products and
services development and commercialization. The roles of the
federal government, state government agencies, international
bodies, and professional groups are emphasized. Specifically, the
regulatory roles of the U.S. Environmental Protection Agency,
the U.S. Department of Agriculture, and the Food and Drug
Administration are emphasized. Human subject protection,
good laboratory practices, and good manufacturing practices
are discussed.
BIOT 645 The Business of Biotechnology (3)
(Formerly BTMN 645.) This course introduces students to
the range of businesses associated with biotechnology. These
businesses include medical procedures, self-testing procedures,
pharmaceuticals, reagents, agricultural, environmental bioremediation,
energy production, material and mineral re c ove ry,
ve t e r i n a ry medicine, and sensors. The course covers a variety
of alliances and funding sources, as well as global and international
issues.
BIOT 671 Capstone (3)
(Formerly BTMN 671.) Prerequisite: Completion of 27 credits,
including 21 credits of core courses. During the biotechnology
studies program capstone course, students conduct in-depth
analyses of cross-cutting business and technical issues such as
b i o t e r rorism, bioethics, nanotechnology, entre p re n e u r s h i p, sourc e s
of capital, and marketing. The course addresses trends in biotechnology,
the elements of ethical management, and the sociological
aspects of biotechnology. Students integrate prior core
content areas through case analysis and the development of a
start-up design for a new biotechnology venture.
CSMN 601 Issues, Trends, and Strategies for Computer
Systems Management (3)
A study of the technological advances in computer systems and
in the many environments affected by advancing technology is
presented. Problems relating to ethics, security, the proliferation
of databases, risk analysis, telecommunications, artificial intelligence,
and human-machine interaction are examined. The
rapid development of computer-based information systems in
response to management needs, as well as trends and developments
in the field, are discussed.
CSMN 614 Data Structures and Algorithms (3)
This course introduces the definitions, implementations, and
applications of the most basic data structures used in computer
science, including the concept of abstract data types. The course
also introduces the basic formalism and concepts used in the
analysis of algorithms and in algorithm design. The relative
efficiency of the algorithms studied is estimated by informal
application of these ideas. The algorithms and data structures
discussed include those for sorting, searching, graph problems,
dynamic programming, combinatorial search, and others.
CSMN 615 Hardware and Operating Systems (3)
Interrelationships between hardware and software from technical,
operational, and system points of view are examined. An
a rchitectural re v i ew of selected hard w a re systems, virtual memory
management, operating systems, disk performance optimization,
analytic modeling, and distributed operating systems is presented.
| 122 | 2003–2004 Graduate Catalog