The School of Computing at Queen’s University invites applications from suitably qualified candidates interested in teaching courses shown below.
The University invites applications from all qualified individuals. Queen’s is strongly committed to employment equity, diversity, and inclusion in the workplace and encourages applications from Black, racialized/visible minority and Indigenous people, women, persons with disabilities, and 2SLGBTQ+ persons.
Applications
Applications will be received until June 20, 2025. Review of applications will commence shortly thereafter, and the final appointment is subject to budgetary approval. Additional information about the School of Computing can be found on the School’s website.
There are instructions on how to apply as a term adjunct and how to apply as a teaching fellow.
Fall Term 2025
- The Fall term period is from September 1, 2025 to December 31, 2025.
- Classes will be in session from September 2, 2025 to December 2, 2025, inclusive.
Courses
ARIN 100 Fundamentals of Artificial Intelligence
Units: 3.00
A general introduction to how modern Artificial Intelligence technology works and how to work with it. Topics will range from the effective and ethical use of AI to how it is changing the landscape of education and industry. The history of automated technology and AI will be covered, and students will gain both an appreciation for, and an understanding of, how modern AI came to be.
Learning Hours: 120 (36 Lecture, 84 Private Study)
Requirements: Prerequisite None.
Offering Faculty: Faculty of Arts and Science
Course Learning Outcomes:
- Explain foundational concepts in artificial intelligence and the historical evolution of AI technologies, while critically reflecting on the ethical and societal impacts of these technologies.
- Evaluate the role of AI in shaping modern industries and education, analyzing both the benefits and potential dangers of AI systems in various sectors.
- Identify both the opportunities and limitations of AI in their respective fields (e.g., business, healthcare, engineering, arts, science, etc.).
- Communicate, through written and oral presentations, informed perspectives on the ethical implications of AI technologies, engaging in debates about privacy, bias, and the potential dangers of AI in decision-making processes.