Data science and visualization academy

The data science and visualization academy will bring exposure to state-of-the-art visualization, machine learning and data science tools to high school students. We aim to stimulate curiosity in the fast-moving field of machine learning, advances in visualization, and the exciting discipline of prescriptive analytics. With a gentle approach to theoretical foundations, the focus will be on improving empirical and critical thinking skills through real-world problems and case studies. By the end of the one-week program, students will not only be exposed to key data science techniques such as data visualization and data wrangling but will also be exposed to modern machine learning methodologies, which are all building blocks for today's AI and analytics fields. Students will work with some state-of-the-art visualization tools and play with modern data science computing software based on real-life case studies.

Dates

Monday, July 18- Friday, July 22, 2022

Cost

$50 registration fee for students with the rest of the cost covered by sponsors through scholarships

Curriculum

Highly experienced faculty team and teaching assistants bring a mixture of theory sessions during the morning hours with afternoon sessions dedicated for project work. Students present their project work and findings on the last day of the program.

Monday

  • Faculty
    Ratna Chinnam
  • 10:00 - 12:00 p.m. topics
    - Program overview
    - Visualization
  • 1:00 - 3:00 p.m. activity
    - Team formation
    - Project goals and objectives
    - Review datasets
     

Tuesday

  • Faculty
    Yanchao Liu
    Sara Masoud
  • 10:00 - 12:00 p.m. topics
    - Exploratory data analysis
    - Modeling: statistics
  • 1:00 - 3:00 p.m. activity
    - Project work
     

Wednesday

  • Faculty
    Murat Yildirim
    Sara Masoud
  • 10:00 - 12:00 p.m. topics
    - Modeling: statistics & machine learning
  • 1:00 - 3:00 p.m. activity
    - Project work
     

Thursday

  • Faculty
    Evrim Dalkiran
    Ekram Murat
  • 10:00 - 12:00 p.m. topics
    - Decision support
    - Optimization prescriptive analytics
  • 1:00 - 3:00 p.m. activity
    - Project work
     

Friday

  • Faculty
    Ratna Chinnam
    Industry speakers
  • 10:00 - 12:00 p.m. topics
    - Industry guest speakers
    - Virtual field trip
    - Career advice
  • 1:00 - 3:00 p.m. activity
    - Team presentations
    - Awards
     
 

Location

The program will meet online using Zoom to allow interested participants from across the State of Michigan and surrounding areas/states. Course will also use Canvas Course Management software along with our VDI Virtual Computing platform (preloaded with all necessary software and datasets).

Eligibility

High school and middle school students currently enrolled in grades 8th-11th with a strong background in mathematics and interest in data analytics. Previous understanding of statistics is preferred. Students must be open to the challenge of a rigorous curriculum. 

Requirement

After watching the video below, click the registration button and provide a one paragraph essay on why you would like to be accepted into the program.