Machine Learning, Modeling, and Simulation Principles

Course 1 of 2 in the program Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI

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  • START DATE September 21, 2020 More Dates
  • TIME COMMITMENT 4-6 hours per week
  • DURATION 5 weeks
  • FORMAT Online
  • PRICE $1,350

WHAT YOU WILL LEARN

Understand the computational tools used in engineering problem-solving in course 1 of this 2-course program. View the week by week schedule here.

  • Simulate physical processes using numerical discretization methods.
  • Assess cost-accuracy trade-offs in numerical simulation.
  • Learn powerful optimization techniques and understand their fundamental role in machine learning.
  • Describe canonical machine learning problems from a statistical perspective.
  • Practice real-world forecasting and risk assessment problems using Monte Carlo simulation.

WHO SHOULD ENROLL

  • Industry professionals with at least a bachelor's degree in engineering (e.g., mechanical, civil, aerospace, chemical, materials, nuclear, biological, electrical, etc.) or the physical sciences.

  • Other technical professionals with a background in college-level mathematics including differential calculus, linear algebra, and statistics.

  • Programming experience not necessary, but some experience with MATLAB (R) is very useful.

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HOW YOU WILL LEARN

MIT FACULTY AND INSTRUCTORS

Youssef M. Marzouk

Youssef M. Marzouk

Faculty Co-Director of MIT Center of Computational Engineering, Associate Professor of Aeronautics & Astronautics and Director of Aerospace Computational Design Laboratory, MIT

MIT Center for Computational Science and Engineering

MIT Center for Computational Science and Engineering

MIT CCSE Faculty

COURSES IN THIS PROGRAM

To earn a Professional Certificate, you must complete both courses in the program. For those who do not want to commit to the full program, courses can be taken on an individual basis. Savings apply when enrolling into the full program.

Machine Learning, Modeling, and Simulation Principles Machine Learning, Modeling, and Simulation Principles

Course 1 of 2 in the program Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI

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Applying Machine Learning to Engineering and Science Applying Machine Learning to Engineering and Science

Course 2 of 2 in the program Machine Learning, Modeling, and Simulation: Engineering Problem-Solving in the Age of AI

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