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Queen's University
 

Brain, Behaviour and Cognitive Science at Queen's University

Currently Offered Courses

Below is a list of courses currently offered. In the Graduate calendar, some of the courses are listed only with generic and relatively non-specific titles and course description. The specific contents depends on who teaches them and may change slightly. For these courses, we are here offering a more specific course descriptions provided by the instructor who teaches the course.

Note, that in addition to the courses listed here you may also take courses from other areas within Psychology and from adjacent disciplines (e.g. Neuroscience, Computing) as long as both your supervisor and the BBCS Area Chair approve your choice.

For a full timetable of Psychology graduate courses, click here.


Fall 2013

Psyc 801: Design of Experiments
Instructor: Rod Lindsay
Term: Fall
Time: Monday, 10:00am–11:30am; Wednesday 8:30am–10:00am
Location: Hum 223
Lab Time: Thursday, 1:00pm–2:30pm
Lab Location: Hum 219

Topics include: The logic of the test for significance and controversies concerning it; ANOVA and its  underlying linear model for between- subject, within-subject and split-plot designs; orthogonal comparisons for trend analysis and for special contrasts; restricted randomization and the randomized-block design; partial confounding in latin-squares; balancing conditions against trend; hierarchical designs; ANOVA and multiple correlation; designs including organismic variables; random- effect models and the fixed-effect fallacy; data transformations and non-parametric tests.



Psyc 907: BBCS Research Seminar
Instructor: All faculty in BBCS
Term: Fall
Time: Monday, 12:30pm – 14:30pm
Location: Hum 228

Hardly ever are the questions we are researching today entirely new. Rather, they are motivated by other people's work and they are rooted in the history of our discipline. This is also true for the topics studied in your lab including your own thesis topic.

In this year's BBCS seminar, we want to learn about a number of personalities which were particularly influential in shaping Experimental Psychology over the last century or two. It will be the students' task to identify an individual whose work contributed to define the foundation of their own field of research. Students will then prepare a presentation in which they teach the course about this individual's work, how it was motivated, and what kind of influences it had on their scientific environment. Students are required to make the connection to their very own work or the work conducted in the lab they have joined.



Psyc 921: Advanced Topics in Cognitive Psychology Labs in Sensation and Perception
Instructor: Niko Troje
Term: Fall
Time: Tuesday, 4:00 - 5:30 pm
Location: Hum 228

We will use the course to develop and design a number of online experiments to enrich a hypothetical 2nd year course on Sensation and Perception. At the end we will produce a detailed user manual for each lab.

Teams composed of one graduate student and one undergraduate student will take on development of the individual labs. Over the term, they will
  • study the relevant literature
  • design a lab focused on a seminal experiment
  • write a user manual for the lab
A final “conference” day, during which final projects are presented, will conclude the course.



    Psyc 931: Neuroplasticity and Behaviour
    Instructor: Hans Dringenberg
    Term: Fall
    Time: Monday, 2:30pm-4:30pm
    Location: Kings 306

    This year's course will focus on the role of sleep in plasticity at the behavioural (e.g., learning, consolidation, memory formation) and neural level (networks/systems, synaptic, cellular).
    The proposed functions of sleep in memory consolidation and related plasticity mechanisms will be critically discussed. Coverage will include in vitro and in vivo approaches in both vertebrate and invertebrate species. Emphasis will be placed on identifying general principles, as well as unresolved or contentious issues with regard to the functions played by sleep across vastly different species.



    Winter 2014

    Psyc 802: Introduction to Multivariate Analysis
    Instructor: Jill Jacobson
    Term: Winter
    Time: Monday, 1:00pm-2:30pm; Wednesday, 11:30am-1:00pm
    Location: KINGST 310
    Lab Time: Thursday, 1:00pm–2:30pm
    Lab Location: Hum 219

    The objective of PSYC 802 is to provide instruction and practice in using multivariate statistical techniques and in the communication of findings. The aims are to offer a course that:  a) provides practical skills training in multivariate statistical analysis and writing up results, b) helps students learn how to choose the right the test or at least be able to defend their selection; and c) familiarizes students with SPSS, HLM, and LISREL for conducting multivariate analyses.   Topics include:  Factorial, within-subjects, and mixed-design ANOVA; ANCOVA; MANOVA; multiple, mediated, and moderated regression; hierarchical linear modeling; exploratory and confirmatory factor analyses; and structural equation modeling.



    Psyc 970: Advanced Special Topics in Cognitive Science I
    Instructor: Daryl Wilson
    Term: Winter
    Time: Tuesday, 1:00pm-2:30pm; Thursday, 11:30am-1:00pm
    Location: MACCOE230

    A variety of topics in attentional control will be covered and will include such topics as limits in attentional control, models of attentional control, cortical mechanisms of attention, spatial and temporal attention, interaction of attention and memory, and cross-modal attentional control.



    Psyc 971: Advanced Special Topics in Cognitive Science: Time series analysis and the use of Matlab
    Instructor: Randy Flanagan
    Term: Winter
    Time: Tuesday, 4:00pm-5:30pm
    Location: Hum326
    Lab Times: Monday, 10:00am-11:30am; Wednesday, 8:30am-10:00am
    Lab Location: Hum 219

    Focus on specific issues within the cognitive science area. The objective of this course is to (1) introduce the student to basic techniques for the quantitative analysis of time-varying signals and (2) teach the student how to apply these techniques using MATLAB, the most commonly used high-level computing language used in science and engineering. Emphasis will be placed on methods appropriate to the psychological research environment. The theoretical background for each technique will be presented briefly, but the major stress will be on the application to practical problems. This will be achieved partially by the demonstration of typical analysis procedures. More importantly, students will be required to undertake assignments involving the analysis of simulated and actual psychological data. Expertise in MATLAB or signal processing is not required.

    Kingston, Ontario, Canada. K7L 3N6. 613.533.2000