Blueprint

Blueprint is an academic enrichment program that was designed for highly motivated Black students currently in Grades 9, 10 and 11 who are interested in careers in Science, Technology Engineering and Math with a strong interest in Engineering. The program includes 5 weeks of summer programming and yearlong student engagement including monthly webinars and scheduled meet-ups. Students will be exposed to state-of-the-art teaching facilities and labs at Canada’s top engineering school and have the opportunity to hear from students and researchers in the fields.

Registration for Blueprint 2020 is now closed and applicants have been selected.

Application Requirements

  • Nomination/Recommendation from a Current Maths or Science Teacher or Guidance Counselor (Applicants should include email address for Teacher or Guidance Counselor in the application, Teacher or Guidance Counselor will be contacted to complete a nomination sheet)
  • Unofficial High School Transcript
  • Statement of interest outlining why you should be admitted to the program. (250-300 words)

Selection Criteria

Students’ application will go through a competitive selection process. Students will then be selected for an interview via Skype or in person. Students must identify as Black and be Canadian Citizens or Permanent Residents.

Cost

FREE! All costs will be covered by The University of Toronto Engineering.

Important Dates:

  • Application Open – January 6th
  • Application Deadline – February 24th
  • Interviews – February 24th – March 6th
  • Decision Letters – March 18th – March 23rd

Courses

Our course features a selection of inspiring lectures, current research discussions, and hands-on activities. Through these courses, students will explore the Engineering Design Process and use their imaginations to create solutions to real-world problems. Students will leave with a basic understanding of the skills and knowledge required to pursue degrees and careers in STEM, specifically Engineering.

Course Topics

  • Equity & Ethics in Artificial Intelligence
    Due to the exponential increase of computing power in the past decade, many problems that were once deemed unsolvable by a computer have been realized by using machine learning. Research and industry are leaning heavily on machine learning to solve some of the most complex problems currently facing us today and investing in the technology to help us better plan for the future. Join us as we introduce machine learning concepts and use current machine learning libraries to create algorithms that learn from data. This hands-on course will explore the need for ethics & equity within artificial intelligence.
  • Foodology & The Hunger for Change
    Our local and global food systems are heavily influenced by engineers. From optimizing food production to influencing food strategy and development, engineers not only play a role as consumers of food but also as scientists, designers and policymakers. This course will enable students to take a critical perspective on our current food systems, issues within them, and the latest strategies to ensure the food we eat is healthy, just and sustainable. Through hands-on activities, students will create their own version of a healthy diet, bust common food myths and use data to recommend new policies for food systems. Using the engineering design process, students will also get the opportunity to design their own innovative, at-home gardens systems.
  • Designing Tomorrow’s Sustainable Cities
    Cities are the economic engines of the world. The health and wealth of nations depend on how well cities function. The rapid population growth in cities requires us to maximize the use of public facilities such as transit services. The course will provide technical background and supported with fundamental of cross-disciplinary concepts to help cities tackle challenges that threaten well-being. Students will investigate how to collect and analyze data to make evidence- based decisions. Students will then carry out simulations using system dynamics and agent-based microsimulation activities.

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