CHEME 1800

CHEME 1800

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.

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CHEME 4800

  • 4 Credits Graded

  • 19268 CHEME 1800   LEC 001

    • TR Olin Hall 245
    • Jan 23 - May 9, 2023
    • Varner, J

  • Instruction Mode: In Person

  • 19545 CHEME 1800   DIS 201

    • TR Olin Hall 245
    • Jan 23 - May 9, 2023
    • Varner, J

  • Instruction Mode: In Person