Courses

• GRS CL 991: Ds Classic Stdy
  
• GRS CL 992: Ds Classic Stdy
  
• 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 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 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 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 CN 901: Dir Study Cns
  
• GRS CN 902: Dir Stdy in Cns
  
• GRS CN 911: Dr Patrn Models
  
• GRS CN 915: Dr Visn Models
  
• GRS CN 921: Dr Spch Models
  
• GRS CN 925: Dr Motor Models
  
• GRS CN 931: Dr Cond Models
  
• GRS CN 935: Dr Cog Models
  
• GRS CN 941: Dr Dynm Models
  
• GRS CN 945: Dr Appl Models
  
• GRS CN 951: Dr Hdwr Models
  
• 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 651: Distributed Systems
  Programming-centric introduction to how networks of computers are structured to operate as coherent single systems. Introducing principles of architecture, processes, communications, naming, synchronization, consistency and replication, fault tolerance and security, and paradigms such as web-based, object-based, file system, and consistency-based.
• 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.

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