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Engineering in the World of AI
Artificial intelligence (AI) is transforming every practice of engineering, reshaping how problems are solved and innovations are built. Proficiency with AI has become a fundamental competency expected of today's engineering professionals.
The Engineering in the World of AI Learning Community brings together first-year students across all engineering majors with award-winning faculty who are passionate about applying AI and data science to modern engineering practice.
In the fall semester, you'll learn the fundamentals of the data lifecycle and how to find, wrangle, analyze and manage data. In the spring, we will explore how AI informs contemporary engineering practice through a guided, hands-on introduction to key concepts, tools, and real-world case studies. No programming experience is needed.
After you are admitted into the learning community, you will be invited to join our Discord server and to introduce yourself, so that we can begin to get to know each other over the summer. When you arrive on campus, you'll live with other community members and make friends quickly, taking classes together as a cohort and engaging with our faculty through fun and enriching learning community activities. Thanks to our alumni, we're able to offer exclusive opportunities to learn about careers in engineering and to build out your personal and professional networks.
For specific questions regarding the Engineering in the World of AI LC, visit our site or reach out to Professor Michael Witt (mwitt@purdue.edu).
Eligibility
- First-time beginning students admitted to the First-Year Engineering Program
- This LC is not available to Honors College participants
Residential Component
- Students will indicate interest in learning communities (LCs) and apply during their housing application process. Students will be informed of the status of their LC application in mid-May.
- Roommate selection will occur after LC decisions have been made. If admitted to an LC, students will need to match with other student(s) admitted to the same LC. If not selected for an LC, the student's original housing preferences will be considered during general housing placement and the student will be able to roommate match with other general housing students.
- The location of learning community housing will be determined based on the incoming class size and the needs of the learning community.
- For specific question regarding learning communities, email learningcommunities@purdue.edu.
- For housing questions, visit (https://www.housing.purdue.edu/) or email housing@purdue.edu.
Duration
Full Academic Year
Associated Courses and Information
Fall
ILS 10300 - Introduction to Data Lifecycle Management (1 credit)
Spring
ENGR 10300 - Applications of AI in Engineering (1 credit)
Every fee eligible student involved with a learning community (LC) at Purdue will be assessed the $200 LC fee to their university account. These funds support activities and travel, signature LC events, housing assignments and/or course registration and instructor stipends.
Events and Activities Included:
Examples of community activities from previous years:
- Data science and sports: Moneyball with Coach Matt Painter
- Shark Tank start-up pitch competitions - in the past working with Art Norins, Bruce Schechter and President Mung Chiang
- Scenario -based learning and networking with prominent Purdue alumni such as Drew Feustel (NASA), Kim Riddle (P&G), Chris Jones (Stryker), Todd Montabana (Accenture)
- Barbeques, movie and game nights, volleyball, soccer, ultimate frisbee, Mario Kart
- Machine Learning March Madness basketball tournament simulation
- Biweekly Big Data Trophy community competitions
Information above is subject to change. If you are placed in the LC, the associated courses will be on your schedule prior to you registering for the rest of your courses.
