Courses

• GRS CL 791: Greek Seminar
  Topic for Fall 2011: Thucydides.
• GRS CN 699: Teaching College Cognitive and Neural Systems I
  The goals, contents, and methods of instruction in cognitive and neural systems. General teaching-learning issues. Required of all teaching fellows.
• GRS CN 700: Computational and Mathematical Methods in Neural Modeling
  Introduction to advanced computational topics used in quantitative modeling. Techniques from signal processing, probability, statistics, vector quantization, optimal control, and ordinary and partial differential equations. Theory, simulations, and techniques illustrated with neural networks and other behavioral and biological models.
• GRS CN 710: Advanced Topics in Neural Modeling
  Examines current neural network models to prepare students to participate in research on an advanced level. Topics are chosen based upon the latest discoveries and methodologies in the field and upon the research interests of advanced CNS students.
• GRS CN 720: Neural and Computational Models of Planning and Temporal Structure in Behavior.
  Identifies characteristics and principles of serial plan formulation, choice, and learning in humans. Includes theoretical analyses and neural network modeling of such processes as they appear in communicative speech and gesture, handwriting, typing tool use, and object assembly.
• GRS CN 730: Models of Visual Perception
  Offers advanced survey of topics in the neural and computational modeling of psychophysical data in mammalian vision. Assignments include oral presentations on selected readings and a term paper containing a literature review and model development and analysis.
• GRS CN 740: Topics in Sensory Motor Control
  Topics include spatial representation, speech production, and rhythmic movement. Representations appropriate for handwriting, reaching, speaking, and walking are investigated with emphasis on different levels of representation and interactions between these levels. Material includes psychophysical data, neurophysiology, and neural models.
• GRS CN 760: Topics in Speech Perception and Recognition
  This course surveys advanced topics in automatic speech recognition and auditory representation of speech signals, especially as they relate to speech perception. The course is constructed around a thorough introduction to state-of-the-art techniques in automatic speech recognition and relates these to perspectives obtained from perceptual and neurophysiological research. The course begins with the necessary fundamentals in digital signal processing and statistical pattern recognition, then discusses the major techniques in automatic speech recognition, including neural networks, hidden markov models, and dynamic programming. It explores the relation of these techniques to neurophysiological processing and psycholinguistic data, and evaluates neural models of auditory processing and speech perception. Modeling techniques, including parameter optimization and goodness-of-fit tests, are covered.
• GRS CN 780: Topics in Computational Neuroscience
  In this seminar, recent research papers and applications in computational neuroscience are reviewed. Topics covered include cortical modeling, analog VLSI, active perception, robotic control, stereo vision, and computer-aided neuroanatomy.
• GRS CN 810: Topics in Cognitive and Neural Systems
  Topic for Fall 2011: Adaptive computing: From virtual to robotic agents. Students design biologically- inspired computational models that implement autonomous perception, decision making, and action in virtual and robotic agents. A term project, executed by small groups, is required, including a problem statement and an implementation of a behavioral task.
• GRS CS 640: Artificial Intelligence
  Studies computer systems that exhibit intelligent behavior, in particular, perceptual and robotic systems. Topics include human computer interfaces, computer vision, robotics, game playing, pattern recognition, knowledge representation, planning.
• GRS CS 655: Graduate Computer Networks
  Concepts underlying the design of high-performance computer networks and scalable protocols. Topics include Internet design principles and methodology, TCP/IP implementation, packet switching and routing algorithms, multicast, quality of service considerations, error detection and correction, and performance evaluation.
• GRS CS 660: Graduate Introduction to Database Systems
  Graduate introduction to database management systems. Examines entity-relationship, relational, and object-oriented data models; commercial query languages: SQL, relational algebra, relational calculus, and QBE; file organization, indexing and hashing, query optimization, transaction processing, concurrency control and recovery, integrity, and security.
• GRS CS 670: Performance Analysis of Computer Systems
  Introduction to measurement, modeling, and simulation of computer systems. Applictions of probability and stochastic processes to computer systems modeling; queues and queuing networks; discrete event simulations. Applications in client server systems and networking are emphasized.
• GRS CS 680: Graduate Introduction to Computer Graphics
  Introduction to computer graphics algorithms, programming methods, and applications. Focus on fundamentals of two- and three-dimensional raster graphics: scan-conversion, clipping, geometric transformations, and camera modeling. Introduce concepts in computational geometry, computer-human interfaces, animation, and visual realism.
• GRS CS 697: Computer Science Graduate Initiation
  Guidance for graduate students embarking on a research career in computer science. Topics include: research resources and methodologies, the research project development process, refereeing and reviewing, written and oral presentations, the dissertation, writing effective research proposals, ethics, and career planning. (Required of first-year doctoral candidates; open to interested CS Master's students.)
• GRS CS 698: CS Teaching Fellow Training
  Covers topics needed to be successful computer science teaching fellow. These include goals, content, and methods of instruction in computer science, and general teaching/learning issues. Required once of all teaching fellows.
• GRS CS 699: Teaching College Computer Science I
  The goals, contents, and methods of instruction in computer science. General teaching-learning issues. Required of all teaching fellows.
• GRS CS 792: Advanced Topics in Computer Science
  Seminar restricted to graduate students; topics of mutual interest to faculty and students and not currently available in the graduate program.
• GRS EC 699: Teaching College Economics I
  The goals, contents, and methods of instruction in economics. General teaching-learning issues. Required of all teaching fellows.

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