Cognitive Science Courses
The following courses are offered by the Cognitive Science Program. These courses may also in some instances be cross-listed under other departments.
For more detailed information, see:
- Q510 – Cognitive Science Professional Development (2 credits)
- Discussions in this course cover a wide range of issues facing academic cognitive scientist, including: the ethical conduct of research, grant proposal writing and review, critical reading of the scientific literature, scientific writing, presentation skills, applying for jobs, teaching, challenges facing underrepresented groups in science, and issues in cross-disciplinary collaboration.
- Q511 Introduction to Embodied Cognitive Sciences (3 credits)
- This course provides a broad introduction to the growing importance of the concepts of situatedness, embodiment and dynamics in cognitive science. It covers both the key conceptual content and the historical development of these ideas. In addition, it survey classic work in this area.
- Examples will be drawn from philosophy, psychology, neuroscience, robotics, and the social sciences.
- Class meetings will consist of a combination of lectures by the instructor, guest lectures, and student presentation and discussion of readings
- Q520 - Mathematics and Logic of Cognitive Science (3 cr.)
- The course will cover the mathematical backgrounds of contemporary work in cognitive science.
- It will include basic material on both the symbolic and connectionist approaches
- machines, logics, networks, games and probability
- Q530 - Programming Methods in Cognitive Science (3 cr.)
- Introduction to computer programming methods for artificial intelligence and computer simulation of cognitive models
- Emphasis on the necessary data structures and their applications to cognitive science
- Programming projects may be related to state-space search for problem solving and game playing, production systems, and cognitive modeling including memory and neural simulations.
- Q540 - Philosophical Foundations of the Cognitive and Information Sciences (3 cr.)
- Introduction to the philosophical foundations of cognitive and information sciences
- Causal issues: cognitive architecture, physical embodiment, neuroscience, networks, dynamic systems, etc.
- Semantic issues: meaning, interpretation, representation, information flow.
- The role of both in language, logic, reasoning, action, perception, learning, categorization and consciousness.
- Emphasis on writing, analysis and expostion
- Q550 - Models in Cognitive Science (3 cr.)
Note: Q530 and Q560 are pre-requisites for Q550.
- An introduction to modeling in various areas of cognitive science
- Computer simulation models of complex cognition
- Models within artificial intelligence
- Models based on neural mechanisms and networks
- Formal and mathematical models in areas such as
psychology, linguistics, and philosophy
- Q551 - Brain and Cognition (3 cr.)
- An introduction to neural mechanisms underlying complex cognition, and a survey of topics inneuroscience related to cognition
- Provides a solid background in human biopsychology
- Q560 - Experimental Methods in Cognitive Science (3 cr.)
Specific goals of this course include:
- an understanding of experimental design and the resources for future studies;
- an understanding of converging measures and programmatic research;
- discussion of current controversies in experimental design; and
- hands-on experience designing, conducting, and critiquing experiments.
- Q570 - Behavior-Based Robotics (3 cr.)
Specific goals of this course include:
- This course will introduce methods and models in situated embodied cognitive science, with particular focus on behavior-based techniques on robots.
- The three main aspects of the course are:
- The state-of-the-art in behavior-based robotics research will be presented and its implications for embodied cognitive science will be discussed.
- Models and architectures will be theoretically scrutinized and evaluated with respect to their conceptual clarity, support by empirical data and biological plausibility
- Students will work in groups to tackle research questions in situated embodied cognition that can lead to publishable results
- Q580 - Introduction to Dynamic Systems in Cognitive Science (3 cr.)
- This course will introduce students to linear and nonlinear dynamic systems, including catastrophe and chaos theory
- Three main aspects are:
- Understanding the basic quantitative theory and techniques of dynamic systems
- Illustration of major concepts and systems behavior with the aid of computer graphics and numerical software
- Examples from cognitive science
- COGS-Q 590, Topics in the Cognitive and Information Sciences (3 cr.)
- This course covers in depth special topics not ordinarily covered in other departmental courses. Topics vary with instructor and semester.
- Q610 - Networks of the Brain (3 cr.)
- This course explores the complexity of the brain and its network architecture on several different levels, including neuroanatomy, spontaneous dynamics, neurocognitive networks, development and disease states, and embodiment. Building on a basic foundation of network theory, information theory, and nonlinear dynamics, the course covers both empirical and computational studies.
- Q700 - Seminar in Cognitive Science (3 cr.)
- Intensive study of specific topics in Cognitive Science
- Topics and instructors will change regularly
- May be repeated.
- Q733 - Colloquium Series (0 or 1 cr.)
- Colloquia and research presentations by members of the cognitive science community, both from Indiana University and from other institutions
- Three semesters at zero credits and one semester at one credit when the required colloquium is given by the student
- Q799 - Readings and Research in Cognitive Science (1-6 cr.)
- Tutorial research and study in specialized topics in cognitive science
- Q899 - Ph.D. Research (cr. arranged)