The document introduces the University of Wisconsin-Madison's Engineering Professional Development program and its online Master's in Applied Computing and Engineering Data Analytics. It outlines EPD's expertise in online engineering education, the benefits of UW's approach including practical learning and interaction, and details of the Applied Computing master's program including its focus on data analytics skills, typical courses, and application process.

2. Learn Anywhere, Respected Everywhere
For Aspiring
Applied Computing and Engineering Data Analytics
Master’s Degree Students
University of Wisconsin - Madison
Engineering Professional Development

3. Goals for Today’s Session
• Introduce you to UW-Madison
Engineering Professional
Development
• Explain what differentiates our
approach to online learning for
practicing engineers
• Address your interests and
questions about the Applied
Computing and Engineering Data
Analytics online master’s degree
• Begin your path to admission

4. Overview – University of Wisconsin
Engineering Professional Development (EPD)
• Academic Department in College of
Engineering
• Expertise
– >35 dedicated faculty
– >40 support staff
– >1000 ad-hoc instructors
• Serving engineers and technical professionals
• Global reach – last year participants came
from
– 50 States, D.C. and Puerto Rico
– 82 countries
– Military on deployment
4

5. EPD Career-Long Learning Opportunities
• Online Graduate Education
– Master’s Degrees
– Graduate Certificates
• Professional Development
– Courses
• On-campus
• Onsite
• Online
– Certificates
5

6. Customer-Focused Learning Segments
6
Infrastructure and
Environment
Energy Facilities
Management Products and
Processes
https://epd.wisc.edu/courses/

7. University of Wisconsin’s Graduate Engineering
Online Degree Programs
• Applied Computing and
Engineering Data Analytics
• Manufacturing Systems
• Sustainable Systems Engineering
• Environmental Engineering
• Engineering Management
• Engine Systems
• Electrical Engineering (Power)
• Mechanical Engineering (Controls)
• Mechanical Engineering (Polymers)
• Technical Japanese
Today’s
Focus
Pamela Klabbers, senior scientist in the
department of physics, holds a large
parallel processing computer card, one of
300 such cards to be mounted into 18
crates to collectively create a massive
image processor capable of analyzing one
trillion bits of data per second. The scientist
is working with engineers at UW-Madison
to develop and test the imaging processor
for use as part of the image detector at
CERN, the world's largest particle physics
laboratory in Geneva, Switzerland.

8. Why Most Online Programs
Don’t Measure Up
• Online students are treated like second-class citizens with an e-
peephole to an on-campus class
• Courses are one-way pipes to stream content at you
• Little meaningful interaction with fellow students and faculty
• Course content designed for traditional, pre-career students
• Students are passive bystanders, not collaborators expected to
provide real world context

9. What Distinguishes University of Wisconsin-
Madison’s Approach to Online Education
• LEARN BY doing … at your workplace, with real projects
– Practical, applied, project-based learning
• LEARN WITH motivated peers who are accomplished engineers
– Cohort model, small class sizes
• LEARN FROM highly engaged UW professors and students from leading
companies across the US and internationally
• LEARN THROUGH a format optimized for distance learning
- Structured learning includes realtime discussions, collaborative
assignments, recorded learning modules, readings, and projects
- Active advisors ensure the learning experience meets your expectations

10. • Ranked 6th among schools offering online graduate
engineering programs by U.S. News & World Report
– Fourth year in a row ranked in the top 10
– One of six institutions to maintain top 10 ranking since 2013
• A high-quality degree from a world-class university…that just happens
to be available to you online
– Programs have won top honors for quality and performance
– Ranked 24th worldwide for academic quality
– Ranked 4th nationally in research expenditures
• Online degrees are identical in stature to a degree earned on campus
– Same academic rigor and review
– Same standards and degree
Proof in the Pudding

11. Today…
• An explosion in big data, data
analytics, and applied
computing
– demand for deep analytical
talent in the U.S. will outpace
supply by up to 60% by 2018
• For database administrators,
BLS prediction is for a 31%
labor force increase
– That’s an additional 33,900
positions by 2020
Source: Big Data: The Next Frontier for Innovation, Competition, and
Productivity: McKinsey Global Institute
Microsoft chairman and chief software architect Bill
Gates delivers a surprise lecture in CS 302,
Introduction to Programming at UW-Madison.

12. Master of Engineering in
Applied Computing &
Engineering Data
Analytics
• Lead big data initiatives
• Integrate high throughput computing, data structures,
data analysis, and data visualization concepts and
methods to solve complex engineering problems
• Evaluate and select from multiple complex data analysis
approaches to create actionable engineering
information
• Create systems that are capable of processing large
volumes of data in solving complex engineering
problems

13. Who are Our Students? Some We Know, Some
We Don’t
• Those We Know – Engineering Professionals
– Those using modeling and simulation in engineering
– Those who will apply advanced computing technologies,
and data management/analysis tools and techniques to
solve complex engineering problems
– Those manipulating large data sets to solve engineering
problems and manage systems
• Those We Don’t
– Quickly evolving field means many future jobs do
not exist today
– Those that have emerged require advanced degrees

14. First-of-Its-Kind Program
• Integrated master’s level
program for engineering
– Different than existing degrees in
business data, data analysis, and
computer science
• But…
– Data is data, regardless of where
it comes from
• Fundamentals of the field
including statistics, analytics,
and applied computing
A rack of 252 CPUs in the Computer Sciences
Building is one of six similar clusters of computers
on campus that make up the Grid Laboratory of
Wisconsin (GLOW), a distributed computing
system used for processing large amounts of
scientific data or running massive simulations.

15. Introduction to Parallel Computing
for Engineering Applications
Introduction to Numerical Methods
Introduction to Database Design &
Management
Optimum Design of Mechanical
Elements and Systems
Connected Learning & Digital
Proficiency
Theory and Applications of Pattern
Recognition
Statistical Experimental Design for
Engineers
Professional Presentations
Leading Teams Computer-Aided Geometric Design
Introduction to Data Analysis with R Introduction to Industrial Data
Analytics
Intermediate Data Analysis with R Project Management
30 credits, 6 semester cohort-based program
M.Eng. Applied Computing and Engineering Data
Analytics: Typical Courses

16. WACC and Euler
• Tied to Wisconsin Applied Computing Center
– Built on the belief that modeling, simulation,
and visualization an ever-increasing role in
solving concrete engineering problems and in
fostering innovation.
• Euler Cluster
– You’ll also have access to Euler, a multi-core
supercomputer cluster used for state-of-the-art
modeling and simulation in a variety of
disciplines, a benefit many other institutions
cannot offer
– Software: Environment Modules used to provide
access to multiple software packages
– OS: Scientific Linux 6.2
– Hardware: Fourteen GPU compute nodes and a
head node
Source: http://wacc.wisc.edu/documentation/EulerWalkthrough.pdf
Dan Negrut
Vilas Associate Professor
NVIDIA CUDA Fellow
Co-Director, Wisconsin Applied
Computing Center
Department of Mechanical
Engineering
Department of Electrical and
Computer Engineering
University of Wisconsin – Madison
608.265.6124
http://sbel.wisc.edu/
http://homepages.cae.wisc.edu/~negrut

17. Sunday
Homework
due
Monday
Listen to
recorded
lecture
Tuesday
Listen to
recorded
lecture
Wednesday
Option #1:
Participate
in morning
Web
conference
Thursday
Option #2:
Participate
in evening
Web
conference
Friday Saturday
Online discussion
Homework
Group Project Work
Readings
Typical Weekly Rhythm of Courses

18. Education, Admissions,
Tuition, Application Deadlines
• Requirements
• Bachelor of Science (B.S.) from
an accredited institution
• Minimum 3.0 prior GPA
• Completion of Graduate School
application
• Tuition
• One rate: $1,600 per credit, 30
credits
• Applications are accepted for
admission to the Fall term.
Apply as soon as possible!
Admissions Fall
Early Deadline March 1
Regular Deadline June 1
Late Consideration July 1

19. How to Apply
• Step 1: Email your intent to apply
• Step 2: Submit the Online Application
• Step 3: Request Transcripts
• Step 4: Complete a Phone Interview
• Step 5: Application Evaluation
Ken Hahn, a system administrator for a distributed
computing facility in the Computer Sciences and
Statistics building at the University of Wisconsin-
Madison, maintains an enclosed bank of
distributed computing equipment. The facility uses
technology developed by Miron Livny, a UW-
Madison computer science professor specializing
in distributed computing, which pools the
computing power of thousands of processors to
conduct number crunching at a huge scale.

20. • Career-Long Learning
– Engineering Professional Development provides degrees, certificates and professional
development throughout your entire engineering career
• Applied Computing and Engineering Data Analytics
– Master of Engineering
– Foundations of statistics, analytics, and applied computing to answer big data challenges
– Specifically applied to engineering processes
• Learn From…and With…the Best
– Practical, applied, project-based learning
– Engaged faculty, classmates and program advisors
• Apply Now!
– Classes begin September 2016 (Fall term)
– Early Deadline – March 1
Learn Anywhere,
Respected Everywhere

21. Next Steps
• Contact us
–Shainah Greene, Graduate Coordinator
• shainah.greene@wisc.edu
• 608.262.0468
–Matt Griswold, Program Director
• matt.griswold@wisc.edu
• 608.609.6033
• Learn more at our website
– https://epd.wisc.edu/online-degree/applied-computing-and-engineering-data-analytics/

22. Thank You!
University of Wisconsin–Madison
College of Engineering
Department of Engineering Professional Development