This interdisciplinary course starts from an introduction to psychophysics with its definitions, historical background and its intersection with neuroscience, psychology, physics and other interwoven disciplines. Examples from every day and real-life instances will make it more interesting. Adopting an interactive approach, this course will provide an overview of human sensory systems like vision, hearing, touch, taste, and smell and their neural basis. The students will learn about the difference between the sensation and perception, responses and their qualitative and quantitative responses to various stimuli. As this course includes the experimental and data analysis aspects, students will not only learn about the data organization but also about its visualization and analysis.
Foundations to Cognitive Science explores the multidisciplinary nature of cognition, covering attention, perception, knowledge representation, reasoning, cognitive biases, and decision making. Through lectures, labs, and case studies, students apply cognitive principles to problem solving and decision making in various contexts.
Design Cognition explores the intersection of cognitive science and design/entrepreneurship. Students understand cognitive principles applied in user-centric design, including user observation, persona development, analogical thinking, mental models, and interaction design. Through labs and case studies, they analyze user needs, apply cognitive tools, and enhance user experience.
The Cognitive Management course focuses on the application of cognitive principles in entrepreneurial ventures. Students develop cognitive management skills and learn about opportunity recognition, effectuation theory, team cognition, and emotional intelligence. Through labs and case studies, they utilize computer-based methods, tools, and simulations to analyze real-life scenarios and enhance their entrepreneurial decision-making abilities.
This course in Computational Methods in Cognitive Neuroscience provides an in-depth exploration of key topics. Students will delve into neurons and neural coding, artificial and biological neural networks, cognitive architectures, computational cognition, and neuroimaging data analysis. Through labs, they will apply computational methods and tools to model neural activity, implement neural networks, develop cognitive architectures, create computational models of behavior, and analyze neuroimaging data.
This undergraduate psychology course provides an introduction to the field of psychology and its applications. Topics include the origins and perspectives of psychology, research methods, personality theories, social cognition, cultural psychology, organizational behavior, interpersonal dynamics, workplace stress, and the biological basis of behavior. The course integrates lab components for conducting experiments and case studies to apply psychological theories in real-life contexts.