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Courses
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Bioengineering
Completion of four of the following courses:
- BIEN 223: Engineering Analysis of Physiological Systems Bahman Anvari
- BIEN 224: Cellular and Molecular Engineering Jiayu Liao
- BIEN 249: Integration of Computational and Experimental Biology
- BIEN 264: Biotransport Phenomena Victor G.J. Rodgers
- BIEN 270: Transport with Reactions in Biological Systems Victor G.J. Rodgers
- Chemical Engineering
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Data Science
Completion of four of the following courses:
- CS 229: Machine Learning Christian Shelton
- CS 230: Computer Graphics Craig Schroeder
- CS 235: Data Mining Techniques Eamonn Keogh
- CS 236: Database Management Systems Chinya Ravishankar
- CS 242: Information Retrieval and Web Search Vagelis Hristidis
- EE 241: Advanced Digital Image Processing Amit Roy-Chowdhury
- EE 243: Advanced Computer Vision Amit Roy-Chowdhury
- PHYS 243: Foundations of Applied Machine Learning Bahram Mobasher
- PHYS 244: Application of Visualization in Data Science Bahram Mobasher
- PHYS 247: Introduction to Applied Data Science Bahram Mobasher
- STAT 207: Advanced Statistical Computing James Flegal
- STAT 208: Statistical Data Mining Methods Dan Jeske
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Electrical Engineering - Power Systems
Completion of the following courses:
- EE 123: Power Electronics or EE153: Electric Drives Roman Chomko
- EE 218*: Power System Steady State and Market Analysis Nanpeng Yu
- EE 232: Introduction to Smart Grid Hamed Mohsenian-Rad
* EE218 requires taking ENGR160 and EE155 as prerequisite courses.
- Environmental Engineering - Systems (Water)
- Materials at the Nanoscale
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Mechanical Engineering
Completion of the following courses:
- ME 203: Design and Analysis of Engineering Experiments
- ME 210: Sustainable Product Design Sundararajan Venkatadriagaram
- ME 223: Secure and Reliable Control Systems Fabio Pasqualetti
- ME 240A: Fundamentals of Fluid Mechanics Marko Princevac
- ME 270: Introduction to Microelectrical Systems Cengiz Ozkan
- ME 272: Nanoscale Science and Engineering Cengiz Ozkan
- ME 274: Plasma-aided Manufacturing and Materials Processing Lorenzo Mangolini
ENGR 296: Project Design Course (includes a literature review and a report)
The Project Design Course is intended to provide a problem analysis and system design experience similar to professional practice, and the opportunity to practice and perfect the skills of technical writing and oral presentation. All MSOL students must complete a total of four credit hours of the project course in a subject of interest with respect to their specialization area.
Course Learning Objectives
At the completion of this course, the engineer will be able to:
- Demonstrate an ability to apply knowledge of mathematics, science, and engineering
- Demonstrate an ability to design and conduct experiments, as well as to analyze and interpret data
- Ability to gather, analyze, and correlate professional information relating to their project
- Demonstrate an ability to identify, formulate, and solve engineering problems
- Gain knowledge and understanding of professional and ethical responsibility
- Demonstrate an ability to communicate effectively
- An awareness of the impact of engineering solutions in a global, economic, business, environmental, and societal context
- Demonstrate an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice