Semester:
Spring of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 2 Lab Hours: 3
Prerequisite:
(EGR 210 and (STT 315 or concurrently)) and completion of Tier I writing requirement
Restrictions:
Open to juniors or seniors in the College of Engineering or approval of department.
Description:
Concepts of sustainable systems; computational analysis tools for project management, life-cycle analysis, system-level representation, and six-sigma approaches. Case studies. Modeling and computational analysis.
Semester:
Fall of every year
Credits:
Total Credits: 3 Lab Hours: 3
Prerequisite:
(AESC 210 and (STT 315 or concurrently)) and completion of Tier I writing requirement
Restrictions:
Open to juniors or seniors in the College of Engineering or approval of department.
Description:
Concepts of sustainable systems; computational analysis tools for project management, life-cycle analysis, system-level representation, and six-sigma approaches. Case studies. Modeling and computational analysis.
Semester:
Fall of every year
Credits:
Total Credits: 3 Lab Hours: 3
Prerequisite:
(AESC 210 and (STT 315 or concurrently)) and completion of Tier I writing requirement
Restrictions:
Open to juniors or seniors in the College of Engineering and open to juniors or seniors in the Department of Marketing and open to juniors or seniors in the Department of Supply Chain Management.
Description:
Concepts of sustainable systems; computational analysis tools for project management, life-cycle analysis, system-level representation, and six-sigma approaches. Case studies. Modeling and computational analysis.
Semester:
Fall of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Prerequisite:
(AESC 210) and completion of Tier I writing requirement
Restrictions:
Open to juniors or seniors in the College of Engineering and open to juniors or seniors in the Department of Marketing and open to juniors or seniors in the Department of Supply Chain Management.
Description:
Concepts of sustainable systems applied to urban environments (smart cities). Computational analysis tools for large data sets. Case studies used to increase consensus-building skills.
Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Prerequisite:
(AESC 210) and completion of Tier I writing requirement
Restrictions:
Open to juniors or seniors in the College of Engineering and open to juniors or seniors in the Department of Marketing and open to juniors or seniors in the Department of Supply Chain Management.
Description:
Concepts of sustainable systems applied to urban environments (smart cities). Computational analysis tools for large data sets and use of case studies.