Wade Fagen-Ulmschneider Email & Phone Number
@illinois.edu
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Who is Wade Fagen-Ulmschneider? Overview
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Wade Fagen-Ulmschneider is listed as Teaching Professor at University of Illinois Urbana-Champaign, based in Urbana-Champaign Area, United States. AeroLeads shows a work email signal at illinois.edu and a matched LinkedIn profile for Wade Fagen-Ulmschneider.
Wade Fagen-Ulmschneider previously worked as Teaching Associate Professor at University Of Illinois At Urbana-Champaign and Teaching Assistant Professor at University Of Illinois At Urbana-Champaign. Wade Fagen-Ulmschneider holds Phd from University Of Illinois At Urbana-Champaign.
Email format at University of Illinois Urbana-Champaign
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AeroLeads found 1 current-domain work email signal for Wade Fagen-Ulmschneider. Compare company email patterns before reaching out.
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.
Listed skills include Computer Science, Data Structures, C++, Algorithms, and 24 others.
Wade Fagen-Ulmschneider's current company
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Wade Fagen-Ulmschneider work experience
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Teaching Professor
CurrentTeaching 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/
Teaching Associate Professor
Teaching Assistant Professor
Fixed Income Strategist
Gsoc: Google Summer Of Code
Software Engineer
Wade Fagen-Ulmschneider education
Master Of Science With Thesis
Bs With Thesis, Summa Cum Laude Honors
Frequently asked questions about Wade Fagen-Ulmschneider
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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 University of Illinois Urbana-Champaign?
Wade Fagen-Ulmschneider is listed as Teaching Professor at University of Illinois Urbana-Champaign.
What is Wade Fagen-Ulmschneider's email address?
AeroLeads has found 1 work email signal at @illinois.edu for Wade Fagen-Ulmschneider at University of Illinois Urbana-Champaign.
Where is Wade Fagen-Ulmschneider based?
Wade Fagen-Ulmschneider is based in Urbana-Champaign Area, United States while working with University of Illinois Urbana-Champaign.
What companies has Wade Fagen-Ulmschneider worked for?
Wade Fagen-Ulmschneider has worked for University Of Illinois Urbana-Champaign, University Of Illinois At Urbana-Champaign, Morgan Stanley, Google, and Cisco Systems.
How can I contact Wade Fagen-Ulmschneider?
You can use AeroLeads to view verified contact signals for Wade Fagen-Ulmschneider at University of Illinois Urbana-Champaign, including work email, phone, and LinkedIn data when available.
What schools did Wade Fagen-Ulmschneider attend?
Wade Fagen-Ulmschneider holds Phd from University Of Illinois At Urbana-Champaign.
What skills is Wade Fagen-Ulmschneider known for?
Wade Fagen-Ulmschneider is listed with skills including Computer Science, Data Structures, C++, Algorithms, C, Python, Object Oriented Design, and Java.
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