Undergraduate Courses 2026-27

Back

Expand All Print All

CTDL

Critical Thinking and Data Literacy

CTDL 1901
Cognitive Foundations of University Education: Critical Thinking and Data Literacy
3 Credit(s)
Previous Course Code(s)
CORE 1901
Exclusion(s)
IDPO 1020 (prior to 2022-23)
Description
This course provides an introduction to critical thinking and data literacy. Students will be equipped with critical tools to analyse problems of reasoning, evaluate the truthfulness of evidence, examine the fallacies of thinking, as well as the ability to construct valid arguments and reasonable solutions for their personal and professional life.
Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.
  Identify and analyze relevant information, data, and sources for problems
- 2.
  Articulate assumptions made in arguments
- 3.
  Construct valid arguments using analytical skills, data, and evidence
- 4.
  Justify solutions with relevant criteria and standards
- 5.
  Evaluate implications and consequences of the solutions
- 6.
  Communicate decisions effectively using data and evidence
CTDL 1902
AI and Society: Ethics, Cognition, and Critical Analysis
3 Credit(s)
Previous Course Code(s)
IDPO 2500B
Mode of Delivery
[BLD] Blended learning
Description
This course explores how artificial intelligence (AI) will impact society and the economy. It covers key topics such as ethics, social justice, and the benefits and existential risks of AI. Throughout the course, students will learn about AI through by using AI to complete various tasks. The course is designed around active learning exercises encouraging students to develop hybrid critical thinking skills, which leverage generative AI to extend their natural human capabilities. Students will be expected to learn how to maximize the benefits gained from AI assistance while avoiding potential pitfalls. The course employs a range of assessment methods, including group projects and individual reflection journals, to foster both collaborative learning and personal growth.
Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.
  Explain the fundamental concepts of AI, its capabilities and limitations, and its potential impact on the society and economy
- 2.
  Explain how AI differs from human cognition, and how AI may complement and/or disrupt human cognition
- 3.
  Apply critical thinking skills to evaluate AI technologies, particularly in the context of cognitive science theories and human-machine relationships
- 4.
  Analyze the role of AI in society using network theory, complexity theory, ethical theories, and other relevant theoretical frameworks
- 5.
  Demonstrate the ability to communicate effectively about AI, its role in society, and its social, economic, and ethical implications
CTDL 1950
Decision - Inside Out: Empowering Interdisciplinary Thinking
3 Credit(s)
Description
In today’s fast-paced world, strong thinking skills are essential for academic success and personal growth across various disciplines. This interdisciplinary course, offered by Academy of Interdisciplinary Studies, is designed for junior-level students to enhance their critical thinking, problem-solving, and decision-making abilities by integrating perspectives from multiple fields. Through engaging in interactive activities and discussions, students will learn to analyze information, evaluate arguments, and develop creative solutions to real-world challenges that span different domains. These skills are not only vital for effective learning but also prepare students for future careers and responsible citizenship. By fostering a mindset of inquiry and reflection, this course empowers students to become confident thinkers and informed decision-makers in an ever-changing environment.
Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.
  Address issues with a systems thinking mindset
- 2.
  Apply design thinking tools to understand users’ needs and identify a problem statement
- 3.
  Describe the different types and attributes of data, assess the data quality and select the appropriate data collection method
- 4.
  Apply the analytics framework for problem analysis and decision making
- 5.
  Communicate and persuade the audience through a structured approach to report the problem and solutions of the issue

Back