Catalog description: i. This course is highly interactive and will require active participation. Students will be assigned topics to lead class discussions including acquisition of relevant data and analysis required for different infrastructure projects.
Prerequisites: Graduate student or permission of instructor
Course status: Technical elective
Specific goals for the course
Student learning outcomes - Upon successful completion of this course the student will learn:
identification of metrics for analysis
data gathering techniques and tools
management of infrastructure data
techniques to resolve missing or non-existent data
numerical methods, limitations and accuracy
Relationship of course to program outcomes
Outcome 1: An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science and mathematics.
Topics
Typical topics include but may include other topics: numerical methods for analysis, least squares methods, random forest data selection, ANOVA, social network analysis, and testing of data integrity.
