Not available at this time

This course will introduce the field of probability and statistics, and demonstrate its importance and utility in the solution of problems specifically of interest to civil and environmental engineering. Topics include statistical data reduction, concept of basic probability, sampling and inference, experimental design and data analysis, statistical methods in quality improvement, and statistical design theory. Prerequisite: MATH 132.

Structured computer programming for problem solving, modeling and analysis. Algorithms and numerical methods. Graphical representation of engineering data.

Structured computer programming for problem solving, modeling and analysis. Algorithms and numerical methods. Graphical representation of engineering data.

Structured computer programming for problem solving, modeling and analysis. Algorithms and numerical methods. Graphical representation of engineering data.

Structured computer programming for problem solving, modeling and analysis. Algorithms and numerical methods. Graphical representation of engineering data.

Laboratory experiments to demonstrate behavior in tension and bending for simple metal and concrete structures.

Laboratory experiments to demonstrate behavior in tension and bending for simple metal and concrete structures.

Analysis and design of structural members subjected to axial loads, torsion and bending deflection of beams, behavior of columns and transformation of stress and strain.

To give students a fundamental understanding of basic principles in engineering mechanics. Topics include force systems, the principle equilibrium of forces in two and three dimensional space, free-body diagram, centroid and moment of inertia of a solid body, etc. The fundamental principles are applied to solve problems of civil engineering systems, such as beam, truss and frame.