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37 - ITC - Information Technology - Miscellaneous
ITC 229 - Artificial Intelligence (AI) For Simulative Modeling
| Code | Start Date | Duration | Venue | |
|---|---|---|---|---|
| ITC 229 | 28 October 2024 | 5 Days | Istanbul | Registration Form Link |
| ITC 229 | 02 December 2024 | 5 Days | Istanbul | Registration Form Link |
Course Description
Somebody claims that, if a 25 cents was dropped from the top of a skyscraper, it would be going so fast when it hit the pavement and if it hit a person, it would break his skull.
how would you test such a claim?
Of course it doesn’t make any sense to ask someone to stand and you make a real experiment, however, we can test this myth by making and analyzing a model. and that is exactly what is this course is all about.
The essential skills of modeling — abstraction, analysis, simulation, and validation — are central in engineering, natural sciences, social sciences, medicine, and many other fields.
Many scientists learn these skills implicitly, but in most real life applications they are not able to experience that explicitly, and as a result many real life applications has not been done. That’s the problem this course is meant to address.
Course Objectives
- Modeling and simulation methodologies considering both practical and theoretical aspects
- Grasp modeling concepts with emphasis on performance analysis
- Build simulation models and parameterization using synthetic data
- Analyze simulation output data to evaluate performance criteria
- Create a complete imaginary situation where the trainee can design a simulative, descriptive, and finally predictive model
- Create your own simulation room, e.g, aircraft simulation room and possible surrounding interaction scenarios
Who Should Attend?
- Data Scientists
- Data Engineers
- Data Architects
Course Details/Schedule
Day 1
- Modeling
- Bike Share System
- Iteration
- Sweeping Parameters
- World Population
Day 2
- Proportional Growth
- Limits to growth
- Projecting population growth
- Analysis of population growth
- Case study part one
Day 3
- Epidemiology
- Modeling vaccination
- Sweeping parameters
- Nondimentionalization
- Colling coffee & adding milk
Day 4
- Pharmacokinetics
- Glucose and insulin
- Case study part two
- Pennies and drag
Day 5
- Baseball demo
- Optimal baseball
- Rotation
- Torque
- Case study part 3
- Under the hood
