CEE 304 Introduction to Fundamentals of CEE Infrastructure Systems
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.
Junior Standing in CEE FUNDAMENTALS OF SYSTEMS ENGINEERING with Economics, Probability, and Statistics, by C Jotin Khisty and Jamshid Mohammadi, Prentice Hall, 2001. Students completing this course successfully will understand

  1. professionalism and professional responsibility
  2. engineering ethics and its' consequences
  3. quality based versus bidding for engineering services
  4. the systems approach to planning and design of CEE projects
  5. the use of economics as a basic tool in CEE projects
  6. the use of statistics in CEE projects
  7. the use of probability analysis in CEE projects
    Infrastructure planning, problem solving, and design (3 Hours)
  1. Systems methodology for hard systems (3 Hours)
  2. Definitions, paradigms for soft systems (5 Hours)
  3. Basic economic concepts and procedures (6 Hours)
  4. Determining the relative economic value of alternatives (3 Hours)
  5. Analysis techniques to choose the best feasible alternatives (3 Hours)
  6. Probability theory, random variables, and functions (8 Hours)
  7. Statistics parameters, validity, variance, regression, correlation (6 Hours)
  8. Professional and ethical responsibility (3 Hours)
  9. Licensure and continuing education (1 Hour) Procurement of work, bidding versus quality based selection (3 Hours)
  10. Design and construction professionals and the design/construct concept (1 Hour)
Two 75-minute lecture sessions per week. Spreadsheet, math, economics, project scheduling None College-level mathematics and basic sciences: 0 credits
Engineering topics: 3 credits
General education: 0 credits This course will enhance the student's

  1. ability to apply knowledge in mathematics, probability, statistics and engineering science to civil and environmental engineering problems,
  2. ability to design and conduct experiments and to critically analyze and interpret data,
  3. 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,
  4. ability to identify and formulate an engineering problem, to collect and analyze relevant data, and to develop a solution,
  5. 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,
  6. understanding of the impact of engineering solutions in a societal and global context,
  7. understanding of the importance of professional licensure and commitment to life- long learning,
  8. knowledge of current issues and awareness of emerging technologies,
  9. ability to use modern engineering techniques, skills, and tools including computer-based tools for civil and environmental engineering analysis and design.
William A. Drewry <wdrewry@odu.edu> May 29, 2003