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

CSMN 658 Software Reliability and Reusability (3)
This course discusses principles of reliability, reusability, initiatives,
and standards in software engineering such as function
point as a measure of complexity and, hence, reliability. The
course provides an overview of software reliability models, software
fault-tree analysis, types of software errors, types of design
errors, and inherent characteristics of software that determine
reliability. Software redundancy, automating tools for software
reliability prototypes, and real-time software reliability are also
covered.
CSMN 661 Relational Database Systems (3)
This course introduces the fundamental concepts necessary for
the design, use, and implementation of relational database systems.
The course stresses the fundamentals of database modeling
and design, the languages and facilities provided by database
management systems, and the techniques for implementing re l a-
tional database systems. The course has an emphasis on re l a t i o n a l
databases, but includes the network and hierarchical data models.
Semantic modeling and functional data modeling concepts are
also included. Various database design techniques, implementation
concepts, and techniques for query optimization, concurrency
control, recovery, and integrity are investigated. There will
be an online laboratory component for this course.
CSMN 662 Advanced Relational/Object-Relational Database
Systems (3)
Prerequisite: CSMN 661 or equivalent. Building on the foundation
established in CSMN 661, students explore advanced concepts
in this course. The course provides students with advanced
knowledge in logical design, physical design, performance, archit
e c t u re, data distribution, and data sharing in relational databases.
The concepts of object-relational design and implementation are
introduced and developed. There will be an online laboratory
component for this course.
CSMN 663 Distributed Database Management Systems (3)
Knowledge and awareness of current trends and emerging technologies
in distributed data management is quintessential to
21st-century database management. This course builds on the
fundamentals of database systems that manage distributed data.
The development of distributed database management is introduced
by focusing on concepts and technical issues. A survey
of various topics in distributed database management systems
includes architecture, distributed database design, query processing
and optimization, distributed transaction management and
concurrency control, distributed and heterogeneous object management
systems, and database inoperability.
CSMN 664 Object-Oriented Database Systems (3)
Prerequisite: CSMN 661 or equivalent. This course will offer
both theory and applications of object-oriented database systems.
Conceptual frameworks for data abstraction, encapsulation,
inheritance, polymorphism, extensibility, generic programming,
information hiding, code reusability, modularity, and exception
handling will be studied. The course will provide students w i t h
an ove rv i ew of both existing object-oriented databases (OODB),
including examples of their use and comparison of their stre n g t h s
and weaknesses, and emerging OODB concepts and systems.
After a survey of OODBs, three representative ones are selected
for closer scrutiny. C++ will serve as the primary data manipulation
language. A brief overview of the language, its power, and
its limitations is presented.
CSMN 665 Data Warehouse Technologies (3)
Prerequisite: CSMN 661 or equivalent. This course will introduce
the concepts needed for successfully designing and implementing
a data warehouse. The course provides the technological
k n owledge base for data model approaches such as the star schema
and denormalization, issues such as loading the warehouse, performance
challenges, and other concepts unique to the warehouse
environment. The course will include an online laboratory
component.
CSMN 666 Database Systems Administration (3)
Prerequisite: CSMN 661 or equivalent. This course will introduce
the knowledge, skills, and tools needed to successfully
administer operational database systems. The course provides
the conceptual and operational tools for analysis and resolution
of problems such as performance, recovery, design, and technical
issues. Tools used to assist in the administration process will
be included.
CSMN 667 Data Mining (3)
Prerequisite: CSMN 661 or equivalent. As the amount of data
has grown, so has the difficulty in analyzing it. Data mining is
the search for hidden, meaningful patterns in large databases.
Identifying these patterns and rules can provide significant competitive
advantage to businesses. This course focuses on the data
mining component of the knowledge discove ry process. St u d e n t s
will be introduced to some data mining applications and identify
algorithms and techniques useful for solving different problems.
Many of the techniques will include the application of wellknown
statistical, machine learning, and database algorithms
including decision trees, similarity measures, regression, Bayes’s
theorem, nearest neighbor, neural networks, and genetic algorithms.
Students will also research a data mining application and
learn how to integrate data mining with data warehouses.
| 124 | 2003–2004 Graduate Catalog