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Here is a list of things I think are important and want to eventually learn or write out for other to learn.

Teaching Ideas

• Teach how to create datasets with small scale experiments
• Run analysis using R or Pandas in Python
• Put analysis in report via RBlogdown or RBookdown
• Need own servers, small physical lab that generates data, data visualization team, app/comp sci team

Stuff to Learn and Put into Notebooks Later

• Branch and Bound
• Common MIP Cuts
• Q Learning
• SARSA
• R
• Tidyverse
• GGPlot
• Plotly
• GGAnimate and other Animation packages
• Gurobi
• Machine Learning Workflows
• Functions
• Shiny – Difference between Plotly and Shiny?
• Python
• Pandas
• Plotly
• Machine Learning
• Fucntions
• Matlabplot/Seaborn
• Ask Bard difference between decomp methods and CP, MCP and Bilevel optimization
• Raspberry Pi Machines
• Basic Hacking

New Artistic Skills

• Learn Piano
• Introduction to Painting
• Guitar after Piano

Pages of Learned Info

• Basic Engineering
• -Calculus
• -Physics
• -Statics and Dynamics
• -Circuits
• -Thermo
• -Fluids
• Chemical Engineering
• -Mass
• -Kinetics
• -Controls
• -Thermo 2
•
• ORIE
• Optimization
• -Stochastic Processes
• Probability
• Statistics
• Data Collection
• Time Series
• Data Processing
• ML, regression, etc.
• System Analysis
• -optimization, simulation, logistics, PIC, systems modeling, MDP
• -Visualization
• -graphs, system modeling
• -Operations Design
• -simulation, systems modeling
• -Operations Management
• -PIC, logistics, simulation, queuing

Workflow

R:

Python

Writing / Presentations

Workflow for writing

• When writing paragraphs, put up a heading saying what that paragraph is supposed to do
• Remove the headings later, but use them as notes
• Write introduction to get idea of what you want to show in the paper
• Do small lit review to find novel contributions
• Go through the main points you want to explore
• Then make charts for the results and update the intro
• See if the results match your hypothesizes
• Comment on peculiarities
• Approve those sections
• Then write conclusion, methods, background, etc
• Conclusion should match the thesis questions of the introduction
• Should also have an implications and future research part
• Note Results and Discussion are one section 