Bashar ShalabI HW 10
.pptx
School
University Of Arizona**We aren't endorsed by this school
Course
SIE 250
Subject
Industrial Engineering
Date
Dec 16, 2024
Pages
4
Uploaded by BasharShalabi
SIE 250 – HW 10
Explain how Science of Sports uses sports to explain to kids about systems engineering, industrial engineering, or operations research.•The Science of Sport program incorporates systems engineering, industrial engineering, and operations research principles into sports education for kids. With Science of Sport kits tailored to specific sports and curriculum books, teacher workshops, STEM field trips, showcases, and summer camps, students gain hands-on experiences that link athletic activities to engineering and operational concepts. The program's unique initiatives, such as the STEMadium app and after-school programs, provide interactive and customizable platforms for students to explore the underlying STEM principles of sports in a fun and engaging manner. By combining classroom instruction with practical experiences and technological tools, the program effectively introduces young learners to the intricate systems and engineering involved in sports, making STEM education accessible and enjoyable.
The traffic model that Dr. Head presented becomes very complicated very quickly. What is an approach to simplifying the building of this model?•I believe that using statistical techniques to create traffic models is a less complicated approach than what Dr. Head presented. These techniques allow for the identification of essential characteristics, such as vehicle flow and patterns, that have a influence on traffic behavior through data analysis. Focusing on these critical factors improves the accuracy and productivity of the model-building process. This method's ability to simplify the model without decreasing accuracy. A more effective illustration of the linkages inside traffic systems is made possible by the model's ability to reduce complicated interactions into digestible parts. •This ensures that the model has a complete understanding of the processes impacting traffic behavior without becoming full with unnecessary updates which keeps its capacity to identify broad trends and patterns.
According to Mr. Schlabach, is the future with AI/ML advancements scary, dangerous, fascinating, or not that much different than what we see today? Explain your answer.•Mr. Schlabach claims that AI devices are incapable of autonomous thought and that their capacities are restricted. His point of view is based on the idea that artificial intelligence is essentially incapable of actual comprehension, even if it can do tasks and handle quantities of data. He believes that these devices follow the guidelines that their human designers have programmed for them, functioning according to patterns. As a result, This point of view highlights a larger discussion about the nature of machine intelligence in the field of artificial intelligence.