Preparation for a professional career in HCI. Hands-on workshops in resume and portfolio building, interviewing, public speaking, team work. HCI career choices and trajectories.

Independent research conducted under the guidance of a faculty member.

This class offers an introduction to the world of building mathematical and computational models to understand cognitive and neural processes. The philosophy of this course is to have you actually build these models and engage with the data to (re)discover the theories for yourself. To this end you will be deriving mathematical expressions for behaviors in different experiments, building computational models to simulate neural firing, and analyzing real behavioral and neural data. In addition, you’ll have the opportunity to build your own models and experiments in a project that takes the place of the final. While computational methods can be applied to understand any aspect of Cognition, in this course we will focus on the computational modeling of decision making. By focusing on a single topic, the goal is to go deep down the modeling rabbit hole to really see how models are built, tested, and improved upon over time. 

This course provides academic credit for independent research conducted under the supervision of a Georgia Tech faculty advisor. The course does not involve regular class meetings, assignments, or examinations. The scope and direction of research are determined by the student in consultation with the thesis advisor, consistent with the requirements of the degree program. Students are expected to demonstrate sustained progress, intellectual independence, and increasing scholarly sophistication appropriate to their level of training.

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Students conduct research under the direction of a faculty member on problems in cognition and brain sciences. This course provides academic credit for independent studies under the direction of a faculty member. The scope and direction of the studies are determined by the student (or small group of students) in consultation with the instructor. Within the Decision Processes Laboratory, projects may include behavioral experimentation, cognitive modeling, and meta-science investigations. Students are expected to engage in sustained, self-directed inquiry and contribute to ongoing research programs.

This course presents current research topics in cognitive aging.