Gurobi Opti101 Training Video 1 - Introduction & Welcome

Main Ideas and Concepts

• Introduction to Optimization Training

  The video introduces the first-ever Hands-On Optimization 101 training for data science, led by Lindsay Monari from Gurobi Optimization. The training spans two partial days, focusing on the fundamentals of optimization.

• Training Structure
  • Day 1:
    • Covers the building blocks of optimization models and their applications.
    • Includes a session on modeling and coding with hands-on exercises.
    • Compares machine learning with mathematical optimization.
  • Day 2:
    • Continues with advanced modeling and coding using GurobiPy.
    • Participants will apply their learning to a real-world use case using Google Colab.
• Access and Certification

  Attendees do not need to install Gurobi but can access a limited version through Google Colab. A certificate of completion will be issued to participants who complete the required sessions by December 1, 2022.

• Target Audience

  The training is designed for data science practitioners, academics, and anyone interested in optimization. It aims to engage both beginners and those with some prior experience in optimization.

• Goals of the Training
  • Equip participants with the ability to identify optimization problems.
  • Develop skills to model these problems and build confidence in applying optimization techniques.
• Tools and Prerequisites

  The training will utilize Jupyter notebooks in Google Colab, primarily focusing on Python. Participants are encouraged to have a Google account to access Colab.

• Expert Instructors
  • Jerry Uren, the lead instructor, has extensive experience in operations research and data science.
  • Assan Kabanda, a principal operations research scientist, emphasizes the importance of understanding mathematical optimization in analytics.
• Educational Resources

  Gurobi offers free licenses for academics and recent graduates. Introduction of a web-based game called the "Burrito Optimization Game" to engage new learners.

Methodology and Instructions

• Training Format

  Combination of lectures, hands-on exercises, and real-world applications. Use of Jupyter notebooks hosted in Google Colab for practical coding experience.

• Steps for Participation
  • Register for the training and ensure attendance for both days.
  • Complete the required sessions by December 1, 2022, to receive a certificate.
  • Use the provided materials and solution keys if assistance is needed during the training.

Speakers and Sources

• Lindsay Monari: Lead of the academic program at Gurobi Optimization.
• Jerry Uren: Lead instructor for Optimization 101, data science strategist at Gurobi.
• Assan Kabanda: Principal operations research scientist at Decision Spot, lecturer at Northwestern University.