CIVILENG (CEE 5810) 5810 2 credits Occupational Safety & Health for General Industry
The course will provide an introduction to the Occupational Safety and Health Act and the regulations promulgated by the Occupational Safety and Health Administration. Topics such as hazard communication, fire protection, record keeping and machine guarding are covered. The course provides an overview of industrial health and safety suitable for managers, engineers, health and/or safety personnel, and hourly workers.
CIVILENG (CEE 5820) 5820 2 credits Occupational Safety & Health for the Construction Industry
The course will provide an introduction to the Occupational Safety and Health Act and the regulations promulgated by the Occupational Safety and Health Administration. Topics such as hazard communication, fire protection, record keeping and machine guarding are covered. The course provides an overview of the construction industry health and safety suitable for managers, engineers, health and/or safety personnel, general and subcontractors, foremen, and laborers.
CIVILENG (CEE 7100) 7100 3 credits Dynamics of Structures
Dynamic analysis of structures using simplified single-degree-of-freedom models, model analysis and static condensation. Assumptions used in numeric analysis methods will be explored in order to better understand the output from computer analysis. Application of dynamic analysis as implemented in the International Building Code. P: GENENG 2230 Recommended: MATH 3230, MATH 3630, CIVILENG 3100 (or equivalent for all courses listed).
CIVILENG (CEE 7160) 7160 3 credits Advanced Foundation Design
This course is designed to fully prepare a student with only an introductory course in soil mechanics to analyze the bearing capacity of shallow and deep foundations, to design foundations to meet bearing capacity and settlement requirements, and to design reinforced concrete foundations, drilled shafts, and retaining walls.
CIVILENG (CEE 7830) 7830 3 credits Optimization with Engineering Applications
Students will be able to solve a variety of optimization problems using optimization software or the optimization routines available in spreadsheets (e.g. Excel or Quattro). Linear, non-linear, and discrete problems will be solved. Students will learn the theory of improving search methods, which are the basis for all optimization algorithms. An emphasis will be placed on the need for the modeler to examine the practicality of program results. Also, students will perform a Life Cycle Analysis, which is an optimization procedure that minimizes the impacts on the environment.