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Course Overview

Cognitive Science is the interdisciplinary study of mind and intelligence. This seminar-style course will discuss topics concerning the nature of human and computational intelligence. Students will engage with established researchers in diverse fields of study through invited research talks, in person and online discussions. Students are expected to participate in discussions, write summaries of readings, and produce a final report and presentation of a research project. Read more details on student expectations and the current list of invited speakers, and watch a video introduction to the class.


Important Dates


The course will consist of a series of invited lectures from experts in many areas of cognitive science, who will present discuss their cutting-edge research. In-class and online discussions will complement the invited lectures. Students will complete a project and do a final presentation.


The grading breakdown is subject to change. Each of these deliverables is described more fully on the deliverables page Group projects may be OK by permission from instructor. See project pages for details


There are no formal pre-requisites, as the field is inherently multi-disciplinary and requires breadth across disciplines. Some of the topics may involve some mathematics, but the students will be given the necessary background during the course. The ideal project is one that will show how cognitive science can be used in the student's research, regardless of the major area.

Academic Integrity

Academic Integrity: In order to maintain a culture of academic integrity, members of the University of Waterloo community are expected to promote honesty, trust, fairness, respect and responsibility. All members of the UW community are expected to hold to the highest standard of academic integrity in their studies, teaching, and research. The Office of Academic Integrity's website ( contains detailed information on UW policy for students and faculty. This site explains why academic integrity is important and how students can avoid academic misconduct. It also identifies resources available on campus for students and faculty to help achieve academic integrity in and out of the classroom.

Grievance: A student who believes that a decision affecting some aspect of his/her university life has been unfair or unreasonable may have grounds for initiating a grievance. Read Policy 70 - Student Petitions and Grievances, Section 4,

Discipline: A student is expected to know what constitutes academic integrity, to avoid committing academic offenses, and to take responsibility for his/her actions. A student who is unsure whether an action constitutes an offense, or who needs help in learning how to avoid offenses (e.g., plagiarism, cheating) or about rules for group work/collaboration should seek guidance from the course professor, academic advisor, or the Undergraduate Associate Dean. When misconduct has been found to have occurred, disciplinary penalties will be imposed under Policy 71 Student Discipline. For information on categories of offenses and types of penalties, students should refer to Policy 71 - Student Discipline,

Avoiding Academic Offenses: Most students are unaware of the line between acceptable and unacceptable academic behaviour, especially when discussing assignments with classmates and using the work of other students. For information on commonly misunderstood academic offenses and how to avoid them, students should refer to the Faculty of Mathematics Cheating and Student Academic Discipline Policy,

Appeals: A student may appeal the finding and/or penalty in a decision made under Policy 70 - Student Petitions and Grievances (other than regarding a petition) or Policy 71 - Student Discipline if a ground for an appeal can be established. Read Policy 72 - Student Appeals,