Course Schedule and Catalog
Course Schedule - Spring Semester 2026
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
MGMT 773 001 (CRN: 25399)
ENERGY TRANSITION LAB
Long Title: THE ENERGY TRANSITION LAB
Department: Management
Instructor: Capuano, Linda
Meeting: (19-JAN-2026 - 3-MAY-2026)
Part of Term: MBA A
Grade Mode: Standard Letter
Course Type: Laboratory
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Program(s):
MBA Hybrid
MBA for Professional Extended
MBA for Professionals
MBA for Professional Weekend
MBA - Executive Program
MBA
Must be enrolled in one of the following Level(s):
Graduate
Graduate Quadmester
Prerequisites: MGMT 609 OR MGMT 610 OR MGMT 612
Section Max Enrollment: 0 (permission required)
Section Enrolled: 0
Enrollment data as of: 24-NOV-2025 11:02PM
Final Exam: GR Course-Dept Schedules Exam
Description: This course gives students the opportunity to apply their knowledge, skills, and experience to explore one of the many opportunities or challenges in the Energy Transition. The Energy Transition is the shift in energy supply mix to meet growing energy consumption while avoiding negative environmental impact. For example, energy security, economic competitiveness and environmental responsibility are important considerations in the decarbonization of the electric grid, transportation, industrial, and building sectors and the increasing reliance on renewable energy sources. In addition, the integration of oil, natural gas and renewable power generation and consumption will leverage information and communication technologies, artificial intelligence, and advance modeling and simulation techniques to accelerate implementation. Students work in 2-, 3- or 4-member teams on an energy topic of interest. Students seek advice and mentorship from outside experts as they consider the impact of actions, investment and policy on relevant NGO, government, industry, consulting, or investment organizations.