Today Program Opening address: Dr. Gail DePuy, Interim Dean, - PowerPoint PPT Presentation

National Science Foundation RET site: Research Experience for Teachers in Big Data and Data Science Summer 2018 Final Project Presentations Stephanie Philipp Olfa Nasraoui College of Education and Human Speed School of Engineering Development Dept. of Computer Engineering & Dept. of Middle and Secondary Computer Science Education Friday July 27, 2018 NSF CNS 1801513 - RET Site: Research Experiences for Teachers in Big Data and Data Science

Today’ Program ● Opening address: ○ Dr. Gail DePuy, Interim Dean, Speed School of Engineering Introduction to RET site project: ● ○ Dr. Olfa Nasraoui and Dr. Stephanie Philipp ● Teacher project presentations: ○ Teacher Teams ● Conclusions

RET Goals RET 6 weeks of Immersive Curriculum Research Experience in Disseminate to ... Development Big Data & Data Science & A.I. Translate Training Projects National Regional Computational Research Community: in with (CSTA) (KSTA) Experience Thinking concepts into Lesson Significant Own school, and Plans for Human Civic Data hands-on the Impact groups, Classroom skill sets ...

Enhanced content knowledge Research-based Teacher connections to: Understanding Outcomes - Next Generation Science of computer Standards (NGSS), science - International Society for Technology in Education research and (ISTE) design - National Council for processes Teachers of Mathematics (NCTM)

Projects (& Mentors) Teams Team “Earth Wind and Fire” Adaptive Robotic Assistants (Dan Popa, ECE) Jere Minter & Amir Dizdarevic Team “AI-PI” Explainable Recommendation (Artificial Intelligence - Private Algorithms (Olfa Nasraoui, Investigators) CECS) Arlene Crabtree & Terri Kurtz Humanitarian Landmine Team “Detection Connection” Detection (Hichem Frigui, Joyce Brooks & Andy Kemp CECS) High-Performance and Team “Code Busters Energy-Efficient Big Data Processing in the Cloud (Nihat Mollie Mason & Katie Perrault Altiparmak CECS) Big Data for Scientific Team “Sign O’ The Times” Visualization (Hui Zhang, Aneesah Nu’Man CECS)

Participating High Schools & Middle Schools Iroquois HS Seneca HS Male HS Assumption HS Carrollton MS North Bullitt HS Valley HS Frankfurt HS

Related Concepts: Data Mining Data Science Machine Learning Big Data Data Mining: Discovering useful knowledge from large data sets Using Machine Learning to build predictive and descriptive systems

Related Concepts: Data Mining Data Science Machine Learning Big Data A Data Scientist uses the scientific method + computational methods to acquire knowledge from existing data. - Tries to to solve problems using Data-driven algorithms. A Data Scientist typically - collaborates with domain experts to gain insight into the data and problems

Related Concepts: Data Mining Data Science Machine Learning Big Data A Data Scientist uses the scientific method + computational Data Mining: methods to acquire knowledge Discovering useful from existing data. Tries to to solve problems knowledge from large data - using Data-driven algorithms. sets A Data Scientist typically - Using Machine Learning to collaborates with domain build predictive and experts to gain insight into the descriptive systems data and problems Big Data = All the above + Data Engineering + Systems + Management + Applications

Data Science Pipeline http://data-science-la.tumblr.com/post/82349580838/data-science-toolbox-survey

Data Science Pipeline Machine Learning! http://data-science-la.tumblr.com/post/82349580838/data-science-toolbox-survey

https://www.wordstream.com/blog/ws/2017/07/28/machine-learning-applications

Examples of Machine Learning and Data Mining Make intelligent predictions ● ○ Does a brain image indicate a tumor? ○ Fight Information Overload: ■ Recommend products, movies, books, etc Find relevant information from ● huge amounts of data ○ Detect patterns, e.g. ■ Special events on the surface of the Sun ■ Land mines and other explosives Learn to converse with humans ● ○ Answer questions ○ Book travel ○ Natural Language Dialogue https://www.wordstream.com/blog/ws/2017/07/28/machine-learning-applications https://ebaytech.berlin/deep-learning-for-recommender-systems-48c786a20e1a

Participating High Schools & Middle Schools Iroquois HS Seneca HS Male HS Assumption HS Carrollton MS North Bullitt HS Valley HS Frankfurt HS

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Lab Group Selfie with Team AI-PI (Project 2)

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