CHEME 5760

CHEME 5760

Course information provided by the Courses of Study 2023-2024.

Decision-making is essential to almost everything facet of life. However, are you making the best possible decisions? This course introduces quantitative decision-making tools and strategies that will give students a framework to make the best possible decisions in life, love, and finance. Students will be introduced to concepts such as utility maximization using personalized happiness functions. Students will also be introduced to modern machine learning and artificial intelligence approaches to decision-making, such as Markov Decisions Processes (MDP), Reinforcement Learning (RL), Imitation Learning (IL), and Multiagent decision-making tools and methods.

When Offered Fall.

  • Students will identify personalized happiness functions and use these functions, along with key concepts such as utility maximization, to make optimal decisions in personal and professional contexts.
  • Students will demonstrate fluency in developing and applying artificial intelligence and machine learning tools to problems in decision-making in personal and professional contexts.
  • Students will interrogate process, product, and financial data sets to compute optimal decisions in offline and real-time contexts.

View Enrollment Information

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 3 Credits Graded

  • 19565 CHEME 5760   LEC 001

  • Instruction Mode: In Person

  • 19566 CHEME 5760   DIS 201

    • F Upson Hall 216
    • Aug 21 - Dec 4, 2023
    • Varner, J

  • Instruction Mode: In Person