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

Olfa Nasraoui Speed School of Engineering

• Dept. of Computer Engineering &

Computer Science Stephanie Philipp College of Education and Human Development

• Dept. of Middle and Secondary

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

Curriculum Development

6 weeks of Immersive Research Experience in Big Data & Data Science & A.I.

Training in concepts and hands-on skill sets Projects with Significant Human Impact Computational Thinking

Translate Research Experience into Lesson Plans for the Classroom

Disseminate to ...

National (CSTA) Regional (KSTA)

Community: Own school, Civic Data groups, ...

Enhanced content knowledge

Research-based connections to:

• Next Generation Science

Standards (NGSS),

• International Society for

Technology in Education (ISTE)

• National Council for

Teachers of Mathematics (NCTM)

Understanding

• f computer

science research and design processes

Teacher Outcomes

Big Data for Scientific Visualization (Hui Zhang, CECS)

Team “Sign O’ The Times” Aneesah Nu’Man

High-Performance and Energy-Efficient Big Data Processing in the Cloud (Nihat Altiparmak CECS)

Team “Code Busters Mollie Mason & Katie Perrault

Humanitarian Landmine Detection (Hichem Frigui, CECS)

Team “Detection Connection” Joyce Brooks & Andy Kemp

Explainable Recommendation Algorithms (Olfa Nasraoui, CECS)

Team “AI-PI” (Artificial Intelligence - Private Investigators) Arlene Crabtree & Terri Kurtz

Adaptive Robotic Assistants (Dan Popa, ECE)

Team “Earth Wind and Fire” Jere Minter & Amir Dizdarevic

Projects (& Mentors) Teams

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

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 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

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

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

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

Machine Learning!

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

Social Hour

Social Hour

Social Hour

Social Hour

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

Social Hour