Wade Fagen-Ulmschneider

Wade Fagen-Ulmschneider Email and Phone Number

Teaching Professor @ University of Illinois Urbana-Champaign
Urbana, IL, US
Wade Fagen-Ulmschneider's Location
Urbana-Champaign Area, United States
Wade Fagen-Ulmschneider's Contact Details

Wade Fagen-Ulmschneider work email

Wade Fagen-Ulmschneider personal email

n/a
About Wade Fagen-Ulmschneider

I believe that world-class education is education worth sharing. Working with students to create quality experiences that they're proud to share, while they master their skills in Data Structures, Data Science, Data Discovery, and Data Visualization.

Wade Fagen-Ulmschneider's Current Company Details
University of Illinois Urbana-Champaign

University Of Illinois Urbana-Champaign

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Teaching Professor
Urbana, IL, US
Wade Fagen-Ulmschneider Work Experience Details
  • University Of Illinois Urbana-Champaign
    Teaching Professor
    University Of Illinois Urbana-Champaign
    Urbana, Il, Us
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  • University Of Illinois Urbana-Champaign
    Teaching Professor
    University Of Illinois Urbana-Champaign Aug 2023 - Present
    Urbana, Illinois, United States
    Teaching Professor, Computer Science, Grainger College of EngineeringFaculty Fellow, Center for Innovation in Teaching and LearningAffiliate: Department of Statistics, Liberal Arts and SciencesAffiliate: Game Studies and Design, School of Information SciencesCurrent and Recently Taught Courses:- CS/STAT/IS 107: Data Science Discovery (Spring '19-Spring '20; Fall '21 - Present)- [MOOC] Accelerated Computer Science Fundamentals Specialization (3-course Coursera Specialization, launched in Summer '19, 4.9/5.0 rating from over 100 reviews)- CS 340: Introduction to Computer Systems (Fall '19 - Spring '23)- Data Science: Creativity (Summer '19; Two-week interactive summer Data Science course)- Data Science: Creativity Sprint (Summer '19; 2.5-hour interactive Data Science lecture)- CS 400: Data Structures for Practitioners of Computer Science (Fall '18)- CS 225: Data Structures (Spring '17 - Spring '19)- CS 296-25: Data Structures Honors Section (Spring '17, Spring '19)- CS 205/305: Data Driven Discovery (Spring '15 - Spring '17)- CS 105: Introduction to Computing (Spring '14 - Fall '15)- CS 241: System Programming (Fall 2013)More details: https://waf.cs.illinois.edu/
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  • University Of Illinois At Urbana-Champaign
    Teaching Associate Professor
    University Of Illinois At Urbana-Champaign Aug 2019 - Jul 2023
    Urbana-Champaign, Illinois Area
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  • University Of Illinois At Urbana-Champaign
    Teaching Assistant Professor
    University Of Illinois At Urbana-Champaign Aug 2013 - Jul 2019
    Urbana, Il
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  • Morgan Stanley
    Fixed Income Strategist
    Morgan Stanley Jun 2010 - Aug 2011
    New York, Ny
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  • Google
    Gsoc: Google Summer Of Code
    Google May 2009 - Aug 2009
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  • Cisco Systems
    Software Engineer
    Cisco Systems May 2008 - Aug 2008
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Wade Fagen-Ulmschneider Skills

Computer Science Data Structures C++ Algorithms C Python Object Oriented Design Java Javascript Lecture Data Science Systems Programming Data Visualization Linux Distributed Systems C# Research Php Public Lectures Ajax D3.js Network Programming Data Discovery Education Worth Sharing Rapid Prototyping Json Software Development Social Media

Wade Fagen-Ulmschneider Education Details

Frequently Asked Questions about Wade Fagen-Ulmschneider

What company does Wade Fagen-Ulmschneider work for?

Wade Fagen-Ulmschneider works for University Of Illinois Urbana-Champaign

What is Wade Fagen-Ulmschneider's role at the current company?

Wade Fagen-Ulmschneider's current role is Teaching Professor.

What is Wade Fagen-Ulmschneider's email address?

Wade Fagen-Ulmschneider's email address is wf****@****iuc.edu

What schools did Wade Fagen-Ulmschneider attend?

Wade Fagen-Ulmschneider attended University Of Illinois At Urbana-Champaign, The University Of Texas At Dallas, The University Of Texas At Dallas.

What skills is Wade Fagen-Ulmschneider known for?

Wade Fagen-Ulmschneider has skills like Computer Science, Data Structures, C++, Algorithms, C, Python, Object Oriented Design, Java, Javascript, Lecture, Data Science, Systems Programming.

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