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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 system.  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.

Follow us on Instagram @engineeringworldofdata

dinner
Matt Painter
instructors
Students

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 - Honors College students will participate in the Goss Scholars Learning Community

Residential Component

  • Students from this learning community will reside in Shreve Hall, unless dual placed into Women in Engineering or athletics participation.
  • If you wish to also participate in Women in Engineering and want to live with WIE, be sure to preference WIE higher on your application
  • You will indicate your learning community housing preference within the learning community application. A signed housing contract is required to apply to this learning community.
  • Your roommate in most cases will be a member of the learning community
  • Completing a housing contract is a separate process from applying for a learning community

Duration

Full Academic Year

Associated Classes

Fall

ENGR 13100 - Transforming Ideas to Innovation 1
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

 

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.

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