Educational Modules
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About
There have been monumental leaps in technologies associated with high-performance computing, manufacturing, food system sciences, and engineering. These technologies have the potential to drastically improve food processing efficiency, food quality, and safety. AIFS’ educational content seeks to address the need for training on data, models, analytics, and technological systems. The AIFS module creators have extensive expertise in data science, machine-learning, modeling and simulation technologies.
Graduate Level Modules
Module 1A: Calculus
Module 1B: Linear Algebra
Module 1C: Statistics
Module 1D: Differential Equations
Module 2A: Heat Transfer
Module 2B: Constitutive Laws - Continuum Mechanics
Module 2C: Particle Dynamics
Module 2D: Optics
Module 3A: Geometric Raytracing
Module 3B: Finite Difference Method
Module 3C: Generic Time Stepping
Module 3D: ODE Models for Control
Module 3E: Monte Carlo Methods
Module 4A: Genetic Algorithms
Module 4B: Gradient-Based Optimization
Module 4C: Properties of Food Mixtures
Module 4D: Decision Tree and Random Forest
Module 5A: 3D Robotic Printing
Module 5B: Ag and UAVs
Module 5C: Pumping a Food Slurry Through a Tube
Module 5D: Crop Dusting
Module 5E: Disease Contamination
Module 5F: Decontamination With Lasers
Module 5G: Solar Farm Manufacturing
Module 5H: Ag Drone Simulator
Module 5I: X-ray Decontamination
Module 6A: Artificial Neural Networks