Introduction to NSF-sponsored Big Data Education Project

transcript

Building a Big Data Analytics Workforce in

iSchoolsPenn State Big Data Education Project Team

Presenter: Eun-Kyeong Kim (Ph.D. Candidate)(eun-kyeong.kim@psu.edu)

The GeoVISTA Center, The Department of GeographyThe Pennsylvania State University

KOCSEA 2015

Big Data Education Project Team

Dr. Jungwoo Ryoo

Associate Professor,IST at Penn State Altoona

PI Co-PIs

Dr. Soo-yong ByunAssociate Professor

Education at Penn State University Park

Dr. Dongwon LeeAssociate ProfessorIST at Penn State University Park

Graduate Project Manager

M.S. Eun-Kyeong KimPh.D. Candidate,

Geography (GIScience) at Penn State University Park

Undergraduate Research Associates

William Aiken

Security and Risk AnalysisPenn State Altoona Penn State University Park

Whitney HernandezVictoria McIntyre

Computer Science

Ryan A. Bury

Geography (GIS)

Nate GouldWilliam Casselberry

Table of Content• Why does Big Data Education

matter?• NSF-sponsored project: Big Data

Education– Goals & objectives– Project team & timelines– Learning module 1, 2, 3 for big data

analytics– Deliverables & workshops

• Call for Participations

Buzzword: Big DataEveryone talks about Big Data in these days.

Why: the Explosion of Data• Data grows exponentially fast in

volume and variety.– SDSS (the Sloan Digital Sky Survey):

about 200 GB / day.– LSST (Large Synoptic Survey Telescope):

about 140 TB / 5 days.

Why: Big Data is useful• Many applications of big data

analytics• The U.S. government “Big Data

Research and Development Initiative” in 2012

Why: Demand in Manpower• McKinsey, “The United States alone

faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.”

The Current State of Big Data Education

Course Title Offered by

Building a Data Science Team Johns Hopkins via Coursera

Data Analysis and Statistical Inference Duke via Coursera

Mining Massive Data Sets Stanford via Coursera

Course TitleTechniques and Concepts of Big Data

Hadoop Fundamentals

Up and Running with Public Data Sets

William Aiken. (2015). Online Courses on Big Data Analytics. http://sites.psu.edu/bigdata/2015/11/18/online-courses-on-big-data-analytics/ 23 Great Schools with Master’s Programs in Data Science. http://www.mastersindatascience.org/schools/23-great-schools-with-masters-programs-in-data-science/

MS in Business Analytics & Information Management

MS in Analytics

Offline Curricular Online Courses

The Current State of Big Data Education

Course Title Offered by

Building a Data Science Team Johns Hopkins via Coursera

Data Analysis and Statistical Inference Duke via Coursera

Mining Massive Data Sets Stanford via Coursera

Course TitleTechniques and Concepts of Big Data

Hadoop Fundamentals

Up and Running with Public Data Sets

William Aiken. (2015). Online Courses on Big Data Analytics. http://sites.psu.edu/bigdata/2015/11/18/online-courses-on-big-data-analytics/ 23 Great Schools with Master’s Programs in Data Science. http://www.mastersindatascience.org/schools/23-great-schools-with-masters-programs-in-data-science/

MS in Business Analytics & Information Management

MS in Analytics

Offline Curricular Online Courses

Not much efforts to establish a

systematic curriculum for data science

for iSchools &

evaluate teaching methods.

Big Data Education for iSchools

• Interdisciplinary institutions addressing broad “information”-related problems

• 65 world-wide institutions

iSchool incoming students often are

equipped with modest computational

competencies and math

understanding, compared to the

computer science.

iSchool incoming students often are

equipped with modest computational

competencies and math

understanding, compared to the

computer science.

It is challenging to teach the concept of

big data analytics and closely related

technologies to iSchool students.

NSF-funded Research Project:Building a Big Data Analytics

Workforce in iSchools

Building a Big Data Analytics Workforce in iSchools• In this project, our team …1) Develop three types of learning

modules to teach big data analytics to undergraduates in iSchools;

2) Develop faculty expertise for teaching the developed materials;

3) Implement the learning modules and evaluate students’ learning.

ObjectivesMore concretely, we …(1)Develop, assess, and disseminate three

innovative learning modules;(2)Prepare faculty with pedagogical guidelines

and lesson plans;(3)Institutionalize the learning modules and

teaching strategies among a community of 17 iSchool campuses at Penn State & beyond;

(4)Disseminate the developed materials and practices into wider audience.

Big Data Education Project Team (1/3)

Dr. Jungwoo Ryoo

Associate Professor,IST at Penn State Altoona

PI Co-PIs

Dr. Soo-yong ByunAssociate Professor

Education at Penn State University Park

Dr. Dongwon Lee

Associate ProfessorIST at Penn State University ParkGraduate Project Manager

M.S. Eun-Kyeong KimPh.D. Candidate,

Geography (GIScience) at Penn State University Park

Undergraduate Research Associates

William Aiken

Security and Risk AnalysisPenn State Altoona Penn State University Park

Whitney HernandezVictoria McIntyre

Computer Science

Ryan A. Bury

Geography (GIS)

Nate GouldWilliam Casselberry

Advisory Board Members

Alan MacEachren, Ph.D.The Director, The GeoVISTA CenterProfessor, The Dept. of Geographyat Penn State University Park

David Fusco, Ph.D.Lecturer, ISTat Penn State University Park

David Fusco, Ph.D.Professor, ISTat Penn State University Park

Jeongkyu Lee, Ph.D.Associate Professor, The Dept. of CSEat University of Bridgeport

Jongwook Woo, Ph.D.Professor, The Dept. of Computer Information Systemsat California State University, Los Angeles

Marlies Temper, M.A.Senior Researcher, The Dept. of Computer Science and SecurityInstitute of IT Security Research

Simon Tjoa, M.A.FH lecturer & International Coordinator, The Dept. of Computer Science and SecurityInstitute for IT Security Research

William Cantor, Ph.D.Senior Instructor, ISTat Penn State York

Collaborating Institutions

Internal Collaborator

Penn State Berks

External CollaboratorGeorge Mason University

iSchool CollaboratorsDrexel UniversityThe University of Pittsburgh

2-yr-college CollaboratorsYTI Career Institute South Hills

Task 1: Learning Modules• Learning modules used for 2-3 weeks in

one semester• Module 1: Digital Storytelling about

Big Data– Using “storytelling” as an education

tool to building awareness about big data, big data analytics techniques, and big data-related career opportunity

• Module 2: Security Analysis in the Cloud• Module 3: Big Data Mining

Task 1: Learning Modules• Module 2: Security Analysis in the

Cloud– About how big data analytics can be used to

address challenges in various IT domains (e.g. network security, sensor networks, and human/device-generated signals).

• Module 3: Big Data Mining– About how big data analytics is used to solve

real-life problems in data mining applications (e.g. online dating site, climate change, and infectious disease research using social media).

Task 2 & 3• Task 2: Implementing Learning

modules and Developing Faculty Expertise

• Task 3: Evaluating Educational Innovations– Using pre-tests and posttests– Control groups (traditional methods)

vs. Target groups (innovative methods)

Timeline (2015.09 – 2018.08)Year 1

Year 2

Year 3Timeline (2015.09 – 2018.08)

Deliverables (1/2) – Big Data E-Textbook

• Co-Authors: Jungwoo Ryoo, Eun-Kyeong Kim

• Authors are not limited to the project team.

Deliverables (1/2) – Big Data E-Textbook

• Co-Authors: Jungwoo Ryoo, Eun-Kyeong Kim

• Authors are not limited to the project team.

Teaching materials & guidelines for faculty & students

Deliverables (2/2) –Blog Entries & Publications

• Blog Entries

Call for Participations• Join our research project as a

community member!• http://sites.psu.edu/bigdata/

community/

@BigData_EduBigData.Edu.Proj@gmail.comhttp://sites.psu.edu/BigData

Thank you for attending!

@BigData_EduBigData.Edu.Proj@gmail.comhttp://sites.psu.edu/BigData

Introduction to NSF-sponsored Big Data Education Project

Data & Analytics