Online Graduate Certificate in Data Science for the Chemical Industry
Authors
- Andrew Medford Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA https://orcid.org/0000-0001-8311-9581
- Fani Boukouvala https://orcid.org/0000-0002-0584-1517
- Martha Grover Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA https://orcid.org/0000-0002-7036-776X
- David Sholl Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
- Carson Meredith Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
- Pengfei Cheng Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA https://orcid.org/0000-0001-5358-9873
- Sihoon Choi Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA https://orcid.org/0000-0002-7594-5709
- Gabriel Gusmão Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA https://orcid.org/0000-0002-2857-6963
- Zachary Kilwein Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
- Suryateja Ravutla Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA https://orcid.org/0000-0002-5039-8032
- Fatimah Wirth Georgia Institute of Technology, Georgia Tech Professional Education, Atlanta, GA 30332, USA
- Zaid Sewer Georgia Institute of Technology, Georgia Tech Professional Education, Atlanta, GA 30332, USA
- Jennifer Wooley Georgia Institute of Technology, Georgia Tech Professional Education, Atlanta, GA 30332, USA
DOI:
https://doi.org/10.18260/2-1-370.660-130434Abstract
The Graduate Certificate in Data Science for the Chemical Industries was designed to provide skills to working professionals, via a fully online and asynchronous format. The certificate may also be earned by undergraduate and graduate students at Georgia Tech. The certificate consists of four courses. The two core courses are Data Analytics for Chemical Engineers and Data Driven Process Systems Engineering, which focus on providing basic data analytics skills with examples that are relevant to chemists and chemical engineers. Students also select two electives from a wide range of online offerings at Georgia Tech, allowing them to explore more fundamental or applied aspects of data science.
Author Biographies
Andrew Medford, Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
A.J. Medford, PhD, is an Assistant Professor in the School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. He received his PhD from Stanford University, and his undergraduate degree from NC State University. His research group focuses on the application of data science and machine learning to problems in heterogeneous catalysis and computational chemistry. He regularly teaches Numerical Methods for Chemical Engineers, and designed the Data Analytics for Chemical Engineers course that is part of the DSCI certificate. ORCID: 0000-0001-8311-9581
Fani Boukouvala
Fani Boukouvala, PhD, is an Assistant Professor in the School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. She earned her PhD at Rutgers University and her research lies on the interface of Process Systems Engineering and Data-Science, with applications in energy and manufacturing systems. At GT, she has taught Process Design & Economics, and Separations Processes, and has designed the Data-Driven Process Systems Engineering course for the Online Graduate Certificate. ORCID: 0000-0002-0584-1517
Martha Grover, Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
Martha Grover, PhD, is a Professor in the School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. She earned her PhD from the California Institute of Technology and her research focuses on control and optimization of molecular organization, with applications in materials processing, separation, and chemical evolution. She teaches numerical methods, process control, and thermodynamics. ORCID: 0000-0002-7036-776X
David Sholl, Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
David Sholl, PhD, is a Professor in the School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. He is also the Director of Transformational Decarbonization Initiatives at Oak Ridge National Laboratory. His research has primarily focuses on using materials modeling methods to develop new materials and processes for chemical separations and energy applications.
Carson Meredith, Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
Carson Meredith, PhD, is a Professor in the School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. He is also the Executive Director of Georgia Tech’s Renewable Bioproducts Initiative. Dr. Meredith's group researches the surfaces and interfaces of advanced materials.
Pengfei Cheng, Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
Pengfei Cheng is a PhD candidate in the School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. His research mainly focuses on global optimization, optimization under uncertainty, and optimizing for carbon capture. He earned his master from Carnegie Mellon University and bachelor from Dalian University of Technology.
Sihoon Choi, Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
Sihoon Choi is a PhD student in the School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. His research focuses on the establishment of a universal machine learning model that accounts for the adsorption of multiple adsorbates in metal-organic frameworks (MOF). He was into managing the online course format with Vocareum during his teaching assistantship for Data Analytics for Chemical Engineers.
Gabriel Gusmão, Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
Gabriel S. Gusmão is a doctoral student in the School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. His research interests span the fields of heterogeneous catalysis, surface sciences, microkinetic modeling and the utilization of scientific machine learning to solve related inverse problems. He has served as teaching assistant for undergraduate numerical methods, data analytics for the College of Engineering and for the ChBE, and he has mentored students in the ACS Bridge Program.
Zachary Kilwein, Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
Zachary Kilwein is a PhD candidate in the School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology, where he focuses on research related to scientific machine learning (ML), physics-informed neural networks (PINNs), and security-constrained optimal power flow. In his capacity as TA for data-driven process systems engineering, he helped to develop course material to teach students about modern ML programming, hybrid models, and PINNs.
Suryateja Ravutla, Georgia Institute of Technology, School of Chemical & Biomolecular Engineering, Atlanta, GA 30332, USA
Suryateja Ravutla is a PhD student in the School of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. His research interests are primarily in Data-Driven Optimization, Hybrid Modeling and Physics Informed machine Learning. He has been a teaching assistant in the course of Data Driven Process Systems Engineering, and helped develop the Jupyter notebooks used to teach the course.
Fatimah Wirth, Georgia Institute of Technology, Georgia Tech Professional Education, Atlanta, GA 30332, USA
Dr. Fatimah Wirth is an Instructional Designer at Georgia Tech Professional Education (GTPE). She has presented at international conferences on online learning, written conference proceedings, books, a book chapter and journal articles. She has won grants and numerous awards, taught in-person and online, volunteered as an AECT award coordinator and AECT and Educause mentors and served on councils, committees and editorial review boards including GTPE Staff Council, GTPE DE&I subcommittee and HETL.
Zaid Sewer, Georgia Institute of Technology, Georgia Tech Professional Education, Atlanta, GA 30332, USA
Zaid Sewer is an Interactive Instructional Media Specialist at the Georgia Institute of Technology. For 6 years he has been working within educational media recording, editing and producing content for online master’s degree students. He holds a Bachelor of Arts from the Art Institute of Atlanta.
Jennifer Wooley, Georgia Institute of Technology, Georgia Tech Professional Education, Atlanta, GA 30332, USA
Jennifer Wooley is the Director of Professional Master’s Programs at the Georgia Institute of Technology.
