Course Description :

Introduction to various data measurement issues in civil and environmental engineering, including collection techniques, analysis, error, and statistical evaluation in all sub disciplines. Spatial measurement topics include GPS, leveling, distance and angular measurement, mapping and topographic surveys, automated data collection, terrain models, earthwork methods, construction surveying, geodesy and GIS.

Specific Course Objectives :
  • Compute and analyze basic statistical descriptors including the mean, median, mode, variance, and standard deviation of a data set, and compute standard Z scores for a normally distributed data set.
  • Construct and interpret various types of data visualization graphs including histograms and box and whisker plots.
  • Use modern surveying equipment such as Total Station Instruments and automatic levels to design and implement field data collection processes such as traversing, differential leveling, and construction stakeout.
  • Create a topographic map and develop basic map reading and analysis skills.
  • Interpret and compute the elements of a simple horizontal curve.
  • Recognize common coordinate systems and projections including state plane, latitude/longitude, PLSS, Lambert Conical, and Transverse Mercator.
  • Work as a member of an integrated team to perform field surveying measurements, create maps, and analyze data.
Course Prerequisite :
CEE Students: C- or better in each of the following: ENGE 1216, MATH 1226; Co-requisite: CEE 2824

BC Students: C- or better in each of the following: BC1224, MATH 1226.

Hours & Credits :
3H, 3L, 4C
Semester Offered :
Fall, Spring
Program Area :
Interdisciplinary Programs
Faculty :