Current students

Monday, March 9, 2026 4:00 pm - 6:00 pm EDT (GMT -04:00)

Agri-food Innovation Challenge

Who is this challenge for? University of Waterloo students from all levels and faculties.

What: An exciting two-week challenge where you’ll connect with new students, solve real-world problems, grow your skills, meet industry experts and compete for a total of $10K in cash prizes.

Thursday, March 26, 2026 7:30 pm - 9:30 pm EDT (GMT -04:00)

"Who keeps us safe?" Christian Politics of Care

The Bechtel Lectures provide the opportunity for representatives of a variety of disciplines and professions to explore topics that reflect the breadth and depth of Mennonite history, identity, faith and culture. Conrad Grebel University College is pleased to host this annual event. The 2026 Bechtel Lecturer is Isaac Villegas, MDiv.

Wednesday, April 1, 2026 5:00 pm - 7:30 pm EDT (GMT -04:00)

Co-op Workplace Simulation

In this interactive simulation, you will act as a co-op student at a healthcare company, work with peers to uncover the organization’s key challenges, and learn how to communicate your proposed solution clearly and confidently. The company is fictional, but the problems are realistic and reflect current issues faced by similar organizations.

Thursday, February 12, 2026 11:00 am - 12:00 pm EST (GMT -05:00)

Love Data Week: Love at First Stat - Rediscover the Fundamentals

Refresh your understanding of fundamental statistical concepts and strengthen your data analysis skills in this interactive workshop. Using R, we’ll revisit key topics such as descriptive statistics, probability distributions, hypothesis testing and basic inferential techniques. Through guided exercises, you’ll learn how to apply these concepts effectively to interpret and analyze data with confidence.

Tuesday, February 10, 2026 11:00 am - 12:00 pm EST (GMT -05:00)

Love Data Week: Turning Numbers into Love Letters

Data are often stored in tables or databases, which provide information about size and variable types but reveal little about underlying patterns. This workshop introduces graphical and numerical techniques to uncover data structure and summarize distributions effectively.