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Engineering in the World of Data
How does your navigation system on your phone know where a traffic jam is? How can we find patient zero in a medical epidemic? How can sensor networks tell us about the health of our bodies, the food we grow and the lifelines in our cities? Students in this learning community learn how to use data to discover knowledge they can use to make sense of physical and built systems. As engineers we learn to use this knowledge to inform our design of systems that impact our lives.
In the first semester (ENGR 13100 and ILS 10300), you will learn the fundamentals of data science: types of data, data lifecycle, transformation, and visualization, and make evidence-based decisions in user-centered design problems.
In the second semester (ENGR 13200 and ENGR 10300), you will develop skills to build and use analytical tools with MATLAB and Python programming languages. Learn how to gather, organize, and store big data sets and then build algorithms in a way that machines can autonomously process the data. These courses use engineering projects to prepare students for their academic and professional careers.
Join a cohort of first-year engineering students who will take a series data-science themed courses together and participate in fun and educational co-curricular and extracurricular activities unique to the EWD learning community.
Visit the Engineering in the World of Data website to learn more.
Eligibility
- First-time beginning students admitted to the First-Year Engineering Program or to Pre-ABE in the College of Agriculture
- This LC is not available to Honors College participants
Residential Component
- Required. The location of learning community housing will be determined based on the incoming size and needs of the learning community.
- A signed housing contract is required to apply to this learning community. Once a housing contract is completed, you will indicate your learning community housing preference within the learning community application. Applications received by the priority deadline will be considered first.
- If you want to be placed with a preferred roommate and be admitted to a learning community with a required residential component, both you and your roommate must apply (and be accepted) to the same learning community. Students admitted to learning communities with a required residential component cannot be paired with students admitted to learning communities with an optional residential component.
- For specific question regarding learning communities, email learningcommunities@purdue.edu.
- Completing a housing contract is a separate process from applying to a learning community. If you have questions about housing, contact University Residences (https://www.housing.purdue.edu/) at housing@purdue.edu.
Duration
Full Academic Year
Associated Courses and Information
Fall
ENGR 13100 - Transforming Ideas to Innovation 1 (Optional)
ILS 10300 - Introduction to Data Lifecycle Management
ENGL 10600 - First Year Composition – First Year Composition with Data Science Emphasis (optional based on AP scores or transfer credit)
Spring
ENGR 13200 - Transforming Ideas to Innovation 2
ENGR 10300 - Computational Methods of Data Science for Engineers
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
- Learning Python with Pythons: programming boot camp with animal management data and snakes
- Dawn or Doom conference: workshop on presenting data effectively and lunch with keynote speaker
- Field trip to Cummins Technical Center: simulation and product testing data management and analytics
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.
