Sustainable Manufacturing
Graduate and Undergraduate course
The course is designed for engineering undergraduate/graduate students who are interested in furthering their knowledge in green engineering techniques. The approaches presented in this class are from the levels of manufacturing, machine and systems, as well as the overall product lifecycle and supply chain perspective. The main goal is to discuss practical aspects of sustainability and green engineering and encourage students to look at the processes and systems around them more carefully and think about opportunities to improve, reuse, replacement and reduction of the environmental impacts of the processes, systems, and behaviors.
Recommended Books
Other recommended books
Recommended books:
MID-Course Correction: Towards a Sustainable Enterprise: The Interface Model, Chelsea Green Publishing Company, Anderson, Ray C., White River Junction, VT, 2008, ISBN: 0-9645953-5-4.
Cradle to Cradle: Remaking the Way We Make Things, Michael Braungart, M., and McDonough, W., North Point Press, New York, 2002, ISBN 0-86547-587-3
Sustainable Manufacturing
Graduate and Undergraduate course
The course is designed for engineering undergraduate/graduate students who are interested in furthering their knowledge in green engineering techniques. The approaches presented in this class are from the levels of manufacturing, machine and systems, as well as the overall product lifecycle and supply chain perspective. The main goal is to discuss practical aspects of sustainability and green engineering and encourage students to look at the processes and systems around them more carefully and think about opportunities to improve, reuse, replacement and reduction of the environmental impacts of the processes, systems, and behaviors.
Artificial Intelligence and Machine Learning with Engineering Applications
Graduate Course
This course educates graduate students with recent data science methods and available AI technologies for formulating, investigating, and analyzing real-world sustainability challenges. The course introduces a wide range of machine learning and deep learning algorithms and further discusses their applications in environmental engineering. In addition, it discusses the mechanics of blockchain and cryptocurrencies, as well as the pros and cons of distributed ledger technologiest.
The course elements
Machine Learning, Deep Learning, Distributed Ledger Technology
The AI course consists of three main parts (1) machine learning algorithms, (2) deep learning principles, and (3) elements of blockchain technology
Recommended books
Recommended textbooks
Bishop, Christopher M. Pattern recognition and machine learning. springer, 2006.
Goodfellow, Ian, Yoshua Bengio, Aaron Courville, and Yoshua Bengio. Deep learning. Vol. 1, no. 2. Cambridge: MIT press, 2016.
Narayanan, Arvind, Joseph Bonneau, Edward Felten, Andrew Miller, and Steven Goldfeder. Bitcoin and cryptocurrency technologies: a comprehensive introduction. Princeton University Press, 2016.
Artificial Intelligence and Machine Learning with Engineering Applications
Graduate Course
This course educates graduate students with recent data science methods and available AI technologies for formulating, investigating, and analyzing real-world sustainability challenges. The course introduces a wide range of machine learning and deep learning algorithms and further discusses their applications in environmental engineering. In addition, it discusses the mechanics of blockchain and cryptocurrencies, as well as the pros and cons of distributed ledger technologiest.
Decision-Based System Analysis
Graduate course
The course is designed for engineering graduate students who are interested in furthering their knowledge in decision making methods during system design process. The Decision-Based Design (DBD) approach models design as a decision-making process with the aim of maximizing the performance of a designed artifact. The main question addressed in this course is: ‘what design alternative is the best considering both the performance of the design artifact and the sustainability preferences?’
Recommended books
Other recommended books
Fundamentals of Decision Making for Engineering Design and Systems Engineering, Hazelrigg, G.A., 2012
Decision-Making in Engineering Design, Lewis, Chen, and Schmidt, 2006
Making Hard Decisions: An Introduction to Decision Analysis, Clemen, R.T., Duxbury Press, 2001
Decision-based Design: Integrating Consumer Preferences into Engineering Design, Chen, W., Hoyle, C. and Wassenaar, H-J., Springer, 2012
Decision-Based System Analysis
Graduate course
The course is designed for engineering graduate students who are interested in furthering their knowledge in decision making methods during system design process. The Decision-Based Design (DBD) approach models design as a decision-making process with the aim of maximizing the performance of a designed artifact. The main question addressed in this course is: ‘what design alternative is the best considering both the performance of the design artifact and the sustainability preferences?’
System Analysis for Sustainable Design and Lifecycle Decisions
Graduate Course
The course is designed for graduate students who are interested in furthering their knowledge in decision-making methods with applications in sustainable systems design and lifecycle engineering. The course educates students with several quantitative methods further discusses practical aspects of sustainability engineering and encourages them to look at the systems around them more carefully and think about opportunities to improve, reuse, replacement, and reduction of the environmental impacts of the processes, systems, and behaviors.
Life Cycle Assessment
Product Lifecycle Engineering
Green Manufacturing: Fundamentals and Applications (Green Energy and Technology), David A. Dornfeld (Editor), Springer, 2013
Recommended books
Other textbooks
Mid-course correction: toward a sustainable enterprise: the interface model. Anderson, Ray C., 1998.
Business Dynamics, System Thinking and Modeling for a Complex World, Sterman, John, 2000.
Green Manufacturing: Fundamentals and Applications (Green Energy and Technology), David A. Dornfeld (Editor), Springer, 2013
System Analysis for Sustainable Design and Lifecycle Decisions
Graduate Course
The course is designed for graduate students who are interested in furthering their knowledge in decision-making methods with applications in sustainable systems design and lifecycle engineering. The course educates students with several quantitative methods further discusses practical aspects of sustainability engineering and encourages them to look at the systems around them more carefully and think about opportunities to improve, reuse, replacement, and reduction of the environmental impacts of the processes, systems, and behaviors.