Summary of "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.
- Day 1:
-
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.
Category
Educational
