|
Curriculum Structure
The Rose-Hulman / Foundation Coalition Sophomore Engineering
Curriculum consists of eight courses (30 credit hours) taken over
the three quarters of the sophomore year. As shown below the courses
are listed as either mathematics (MA) or engineering science (ES)
courses:
FALL QUARTER . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . 12 Credit Hours MA 221 Differential Equations &
Matrix Algebra I (4)
ES 201 Conservation & Accounting Principles (4)
ES 203 Electrical Systems (4)
WINTER QUARTER . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . 10 Credit Hours MA 222 Differential Equations & Matrix
Algebra II (4)
ES 202 Fluid & Thermal Systems (3)
ES 204 Mechanical Systems (3)
SPRING QUARTER . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . 8 Credit Hours MA 223 Statistics for Engineers (4)
ES 205 Analysis & Design of Engineering Systems (4)
TOTAL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . 30 Credit Hours
Curriculum Goals
This set of courses has been designed so that students who
participate in this program should
-
develop a strong background in engineering science,
-
develop an understanding of modeling,
-
be able to apply a common problem-solving approach built around
the application of conservation and accounting principles and
constitutive relations,
-
continue to develop effective communication skills,
-
be proficient in applying standard statistical procedures and
quality control concepts,
-
develop a strong background in mathematics,
-
be encouraged to be inquisitive and self-motivated learners,
-
develop an appreciation for engineering as a profession and begin
to develop an identity as an engineer,
-
be able to work effectively in teams and recognize the importance
of individual responsibility in team efforts,
-
be able to apply computer tools appropriately,
-
be comfortable working with ambiguity,
-
be familiar with the overall design process,
-
be able to locate and retrieve both technical and non-technical
information,
-
be introduced to safe and effective use of instruments,
-
appreciate the role of creativity in engineering,
-
develop a recognition of the benefits of the new curriculum, and
-
be encouraged to have fun learning.
Each course in the curriculum has been developed around a set of
course goals and objectives that support these seventeen curriculum
goals.
ES 201 Conservation & Accounting Principles 4R-0L-4C F,W Pre: MA
113, PH 111 Co: MA 221
A common framework for engineering analysis is developed using the
concepts of a system, accounting and conservation of extensive
properties, constitutive relations, constraints, and modeling
assumptions. Conservation equations for mass, charge, momentum and
energy, and an entropy accounting equation are developed.
Applications taken from all engineering disciplines stress
constructing solutions from basic principles.
ES 202 Fluid & Thermal Systems 2 2/3R-1L-3C W,S Pre: ES 201 with a
grade of C or better
Conservation and accounting equations applied to fluid and thermal
systems. Fluid and thermodynamic properties of pure substances. Open
and closed systems hydrostatics. Dimensional analysis. Mechanical
energy balance and pipe flow. Lift and drag.
ES 203 Electrical Systems 3R-3L-4C F,W,S Pre: MA 113, PH 113
Circuit elements. Kirchhoff’s laws. Equivalent circuits and voltage
and current dividers. Operational amplifiers. First, second, and
higher order circuits. Transient and steady-state behavior. AC
circuits and power.
ES 204 Mechanical Systems 2 2/3R-1L-3C W,S Pre: ES 201 with a grade
of C or better Co: ES 202
Conservation and accounting equations applied to mechanical systems.
Kinematics and kinetics of particles in space and of rigid bodies in
plane motion.
ES 205 Analysis & Design of Engineering Systems 3R-3L-4C S,F Pre: ES
202, ES 203 with a grade of C or better, ES 204, MA 222
Conservation and accounting principles are used to model engineering
systems comprising mechanical, electrical, fluid, and thermal
elements. Dynamic behavior and performance criteria are
characterized in the time and frequency domains. Topics include
block diagrams, deriving and solving differential equations of
motion, experimental parameter identification and model validation,
teaming, and reporting engineering results.
|