Engineering Problem Solving and Computation. Course
Description:
Uses developing and structuring approaches to solve engineering problems. Draws applications from a variety of engineering disciplines, which serve as a tool for introducing students to engineering analysis and design. Includes the design of problem-solving algorithms along with an introduction to the “C” programming language.
Engineering Problem Solving with Application Software.
Course Description:
Develops fundamental problem-solving skills essential to all engineering
disciplines. Introduces students to spreadsheet and math application packages.
Introduces students to spreadsheet and math application packages and their
use in solving engineering problems. Topics include data reduction and
transformation, visualization of data and functions, problem structuring,
and matrix applications. Examples stress real-life engineering analysis
and design as tools for introducing students to the engineering profession.
Engineering Design. Course Description:
Presents the engineering design process using case studies from a variety
of engineering disciplines. Topics include problem formulation and specification,
creativity, evaluation tools, patents, product liability, ergonomics,
systems design, failure analysis, hazard prevention, manufacturing, ethics
in engineering, and presentation techniques. Presents engineering graphics,
focusing on developing three-dimensional visualization skills and computer-aided
design (CAD) application. Students will develop an original design solution
to a technical problem as a term project and use CAD software extensively.
Digital Simulation Techniques. Course Description:
Covers model design and development, validation and experimentation
for discrete event simulation models. Topics include problem formulation,
data collection and analysis, random variable generation, and statistical
analysis of output. Utilizes a major simulation language such as SIMAN,
SIMSCRIPT, or GPSS .
Management Information Systems. Course Description:
This course covers design and implementation of computer-based
information systems. Topics include: the value of information, tools of
system analysis and design, impact of computer-based information systems
on organizations and society, rudimentary computer architecture, input
devices, data organization and storage, system configuration, communications,
and output / display devices.
Human-Machine Systems. Course Description:
This course emphasizes human sensory/motor performance, information
processing capabilities, learning, and skilled-task performance. Topics
include an introduction to the experiment as a source of knowledge of
human performance characteristics; vision, visual performance, visual
display design; audition, noise, hearing damage and auditory signals;
information processing; signal detection; aging effects; and system development.
