Course Schedule and Catalog
Course Schedule - Spring Semester 2024
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.
RCEL 503 002 (CRN: 25903)
ENGINEERING PRODUCT MANAGEMENT
Long Title: ENGINEERING PRODUCT MANAGEMENT IN INDUSTRY 4.0
Department: Center Engineering Leadership
Instructor: Abusomwan, Uyiosa
Meeting: 6:15PM - 9:15PM M (8-JAN-2024 - 19-APR-2024)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
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 Level(s):
Graduate
Must be enrolled in one of the following Degree(s):
Master of Bioengineering
Master of Comp & Appl Math
Master of Civil & Env Eng
Master of Chemical Eng
Master of Computer Science
Master of Comp Sci & Eng
Master of Data Science
Master of Electrical Comp Eng
Master of Eng Mgmt & Leadershp
Master of Industrial Eng
Master of Mechanical Eng
Master Materials Sci & NanoEng
Master of Statistics
Graduate Certificate
Must be enrolled in one of the following Fields of Study:
Major: Computational & Applied Math
Major: Chemical Engineering
Major: Computer Science
Major: Computational Science & Eng
Major: Data Science
Major: Electrical & Computer Eng.
Major: Engineering Mgmt & Leadership
Certificate: Engineering Project Management
Major: Industrial Engineering
Major: Mechanical Engineering
Major: Materials Science & NanoEng
Certificate: Product Mgmt for Eng Leaders
Major: Statistics
Major: Bioengineering
Section Max Enrollment: 35
Section Enrolled: 21
Enrollment data as of: 31-OCT-2024 9:32PM
Final Exam: No Final Exam
Description: The fourth and latest industrial revolution, Industry 4.0, is comprised of intelligent automated machines and devices being developed by unconstrained manufacturing technologies (e.g., 3D printing), which can give them unprecedented sensing and communication capabilities. The internet of things (machines and sensors and the ‘big data’ they output) is creating new avenues for the remote collection of data from these new products. Engineering leaders will have a unique opportunity to guide engineering teams to create products that can leverage and evolve based on data from the supply chain to customer usage.
In order to enroll in an online section of this course, you are expected to have a working camera and microphone. During class sessions, you must be able to participate using your microphone and you are expected to have your camera on for the duration of the class so that you are visible to the instructor and other students in the class, just as you would be in an in person class.