Sculpture for Non-Majors
ART 104
Course Code
ART 104
Credit
3.0 - 3.0
Course Name
Sculpture for Non-Majors
Introduction
Students will work with a wide variety of sculptural materials, methods and strategies in a studio art context. Students will explore sculpture concepts, form, and technique through production and critique of artworks, as well as address theories and histories of visual representation through readings and discussion. Students with little or no background in visual art are encouraged to participate along with those who may have significant knowledge and experience.
This course satisfies the General Education Criteria for:
Humanities – Lit & Arts
Seminar
ECE 200
Course Code
ECE 200
Credit
0.0 - 0.0
Course Name
Seminar
Introduction
Discussions of educational programs, career opportunities, and other topics in electrical and computer engineering.
For Computer Engineering and Electrical Engineering majors only.
Sensors and Instrumentation
ECE 437
Course Code
ECE 437
Credit
3.0 - 3.0
Course Name
Sensors and Instrumentation
Introduction
Hands-on exposure to fundamental technology and practical application of sensors. Capacitive, inductive, optical, electromagnetic, and other sensing methods are examined. Instrumentation techniques incorporating computer control, sampling, and data collection and analysis are reviewed in the context of real-world scenarios.
3 undergraduate hours. 3 graduate hours. Prerequisite: ECE 329.
Situation and Policy I
PS1001B
Course Code
PS1001B
Credit
1.0 - 1.0
Course Name
Situation and Policy I
Introduction
<p>Lesson "situation and policy" is an armed timeliness, overcome pertinence, education theory guide the comprehensive are strong an ideological and political theory, new era is to help the college students' correct understanding of the situation at home and abroad, deeply comprehend the party and national undertaking since the party's 18 historic accomplishment, historic changes happened, the historic opportunity and challenge of core curriculum, is the first time to promote the party's theoretical innovation achievements into teaching material, classroom int
Skating Activities
KIN 104
Course Code
KIN 104
Credit
1.0 - 1.0
Course Name
Skating Activities
Introduction
Skating Activities
Special Topics
CEE 498
Course Code
CEE 498
Credit
1.0 - 4.0
Course Name
Special Topics
Introduction
<p>Subject offerings of new and developing areas of knowledge in civil and environmental engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.</p>
Special Topics
ECE 298
Course Code
ECE 298
Credit
1.0 - 4.0
Course Name
Special Topics
Introduction
Lectures and discussions relating to new areas of interest.
Sport&Modern Society
KIN 249
Course Code
KIN 249
Credit
3.0 - 3.0
Course Name
Sport&Modern Society
Introduction
The sociological analysis of sport in modern societies with regard to social class, politics, community, education, and collective behavior.
Students must register for one discussion and one lecture section.
This course satisfies the General Education Criteria for:
Social & Beh Sci - Soc Sci
Statics
TAM 211
Course Code
TAM 211
Credit
3.0 - 3.0
Course Name
Statics
Introduction
Forces, moments, and couples; resultants of force systems; equilibrium analysis and free-body diagrams; analysis of forces acting on members of trusses, frames, etc.; shear-force and bending-moment distributions; Coulomb friction; centroids, center of mass, moment of inertia, polar moment of inertia, and product of inertia; virtual work; hydrostatic pressure; applications of statics in design.
Credit is not given for both TAM 211 and TAM 210. Prerequisite: PHYS 211; credit or concurrent registration in MATH 241.
Statistical Analysis
STAT 200
Course Code
STAT 200
Credit
3.0 - 3.0
Course Name
Statistical Analysis
Introduction
Survey of statistical concepts, data analysis, designed and observational studies and statistical models. Statistical computing using a statistical package such as R or a spreadsheet. Topics to be covered include data summary and visualization, study design, elementary probability, categorical data, comparative experiments, multiple linear regression, analysis of variance, statistical inferences and model diagnostics. May be taken as a first statistics course for quantitatively oriented students, or as a second course to follow a basic concepts course.