CHEME 1800
Last Updated
- Schedule of Classes - June 7, 2023 8:54PM EDT
- Course Catalog - June 7, 2023 7:14PM EDT
Classes
CHEME 1800
Course Description
Course information provided by the Courses of Study 2022-2023.
Engineering practice increasingly relies on computational tools and data analysis approaches. The course introduces computational thinking into engineering analysis. Integrates data science and statistics, linear algebra, artificial intelligence, and mathematical modeling approaches into the context of contemporary problems in the design and analysis of processes, products, and systems. Focuses on paradigms, not syntax. Use of the Julia programming language and its associated toolchain to transition from idea to implementation. In addition, cloud computing resources for course materials, assignments, and projects. Weekly labs provide guided hands-on practice. Course assignments use data sets and examples from industrial practice to develop fluency and understanding of real-life problems.
When Offered Spring.
Outcomes
- Analyze process and product data sets using tools from data science/statistics, and machine learning (ML).
- Identify and test quantitative models of process and product performance using real-time dynamic and static data sets.
- Demonstrate mastery of quantitative decision-making and risk management approaches in the context of a process, product, or system design.
Regular Academic Session. Choose one lecture and one discussion. Combined with: CHEME 4800
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Credits and Grading Basis
4 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- TR Olin Hall 245
- Jan 23 - May 9, 2023
Instructors
Varner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- TR Olin Hall 245
- Jan 23 - May 9, 2023
Instructors
Varner, J
-
Additional Information
Instruction Mode: In Person
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