CEE 304: Introduction to Fundamentals of CEE Infrastructure
Systems(Required for a BSCE degree)
CEE infrastructure systems definitions and methodology. CEE economics
basics and use. Probability theory and applications. Statistics
parameters, functions, variance, regression, and correlation analysis.
Professional practice issues of ethics, licensure, procurement of work,
and professional interaction. Lecture 3 hours; 3 credits.
Prerequisite
Junior Standing in CEE
Textbook(s) and/or Other Required Material
FUNDAMENTALS OF SYSTEMS ENGINEERING with Economics, Probability, and
Statistics, by C Jotin Khisty and Jamshid Mohammadi, Prentice Hall, 2001.
Course Objectives
Students completing this course successfully will understand
professionalism and professional responsibility
engineering ethics and its' consequences
quality based versus bidding for engineering services
the systems approach to planning and design of CEE projects
the use of economics as a basic tool in CEE projects
the use of statistics in CEE projects
the use of probability analysis in CEE projects
Topics Covered
Infrastructure planning, problem solving, and design (3 Hours)
Systems methodology for hard systems (3 Hours)
Definitions, paradigms for soft systems (5 Hours)
Basic economic concepts and procedures (6 Hours)
Determining the relative economic value of alternatives (3 Hours)
Analysis techniques to choose the best feasible alternatives (3 Hours)
Probability theory, random variables, and functions (8 Hours)
Licensure and continuing education (1 Hour)
Procurement of work, bidding versus quality based selection (3 Hours)
Design and construction professionals and the design/construct concept (1 Hour)
Class/Laboratory Schedule
Two 75-minute lecture sessions per week.
Computer Applications
Spreadsheet, math, economics, project scheduling
Laboratory projects
None
Contribution of Course to Meeting the Professional Component
College-level mathematics and basic sciences: 0 credits
Engineering topics: 3 credits
General education: 0 credits
Relationship of Course to Program Outcomes
This course will enhance the student's
ability to apply knowledge in mathematics, probability, statistics and engineering
science to civil and environmental engineering problems,
ability to design and conduct experiments and to critically analyze and interpret
data,
ability to develop design criteria to meet desired needs and to design a civil or
environmental engineering system, component, or a process satisfying these
criteria,
ability to identify and formulate an engineering problem, to collect and analyze
relevant data, and to develop a solution,
understanding of professional and ethical responsibility and of professional
practice issues such as procurement of work, bidding versus quality based
selection processes, and interaction between design and construction
professionals,
understanding of the impact of engineering solutions in a societal and global
context,
understanding of the importance of professional licensure and commitment to life-
long learning,
knowledge of current issues and awareness of emerging technologies,
ability to use modern engineering techniques, skills, and tools including
computer-based tools for civil and environmental engineering analysis and design.
