 |
Fall 1997 Courses |
| This page last updated 1 January 1998 | |
|
Fall 1997 Courses |
| This page last updated 1 January 1998 | |
This course will provide students with a general introduction to the underlying biological principles and mechanisms which give rise to complex human cognitive and emotional behavior. Topics to be covered include: the anatomical structure of nerve cells and how they communicate, properties of brain organization and function, processing in sensory and motor systems and neural and hormonal influences on health and emotion. This course will focus on how emerging methods and approaches are beginning to make it possible for psychologists, computer scientists and biologists to gain an integrated understanding of complex behavior.
This course will cover fundamental findings and approaches in Cognitive Neuroscience, with the goal of providing an overview of the field at an advanced level. Topics will include high-level vision, spatial cognition, working memory, long-term memory, learning, language, executive control, and emotion. Each topic will be approached from a variety of methodological directions, for example, computational modeling, cognitive assessment in brain-damaged humans, non-invasive brain monitoring in humans, and single-neuron recording in animals. Lectures will alternate with sessions in seminar format. Prerequisites include graduate standing or strong prior background in at least one relevant discipline, and permission of the instructors.Note: The Olson/McClelland cognitive neuroscience course has been listed as both Psychology 85-765 and as Neuroscience NS2004. CNBC Graduate students based at CMU wishing to take the course at CMU should just register for it under the CMU number. CNBC graduate students at Pitt should get a signature from Joan Blaney in Neuroscience.
This course covers the primary approaches to Machine Learning from a variety of fields, including decision tree induction, neural network learning, statistical learning methods, genetic algorithms, Bayesian methods, explanation-based learning, and reinforcement learning. The course also covers theoretical concepts such as inductive bias, the PAC and Mistake-Bound learning framework, Occam's Razor, uniform convergence, and models of noise. Programming assignments include experimenting with various learning problems and algorithms (e.g., neural networks for face recognition, Bayesian methods for text classification). *CS Ph.D. students may obtain one core credit unit by arrangement with the instructor.For more details see http://www.cs.cmu.edu/~avrim/ML96/home.html
The structure and expression of eukaryotic genes are discussed, focusing on model systems from a variety of organisms. Current topics discussed include (1) isolation of specific DNA sequences using recombinant DNA technology, (2) the control of gene expression at the level of transcription, splicing and translation, (3) chromosome structure, including origins of replication, centromeres, telomeres, and transposons, and (4) molecular biology of humans.
This course is jointly offered by CMU's Biological Sciences Department (course 03-533) and University of Pittsburgh Physics and Astronomy Department (course number ???).Description: This is a one semester introduction to muclear magnetic resonance spectroscopy and imaging with emphasis on applications to biomedical problems. Part 1 of ht ecourse covers the basic theory of NMR and NMR imaging. Part 2 covers the applications of NMR imaging and spectroscopy to study tissue function with particular emphasis on brian function. Part 3 covers the use of NMR to determine protein structure, interactions and dynamics.
This course covers experimental research methods including proposing an experiment, literature search, experimental design, programming experiments, simple data analysis, research writing, and oral presentation. specific research techniques for reaction time, memory and learning methods, protocol analysis, and human subject methods are covered. The course provides students experience with the technical skills for advanced research. the course will require a number of laboratory assignments, execute human experiments, write up an experiment and an in-class final.
This is the basic course in the experimental psychology of human learning, memory and thinking. It should be taken by students who plan advanced study in areas such as: problem solving, learning, memory, psycholinguistics, attention, and human performance. It is also meant as a survey for students who want to discover more about human thinking.
This is the first of three introductory graduate courses designed to provide an overview of neuroscience. The topics covered include the electrophysiology of resting and action potentials, the electrophysiological analysis of synaptic transmission, and the modeling of small neural networks. Prerequisites: Graduate standing. Optional recitation section.
This course will cover fundamental findings and approaches in Cognitive Neuroscience, with the goal of providing an overview of the field at an advanced level. Topics will include high-level vision, spatial cognition, working memory, long-term memory, learning, language, executive control, and emotion. Each topic will be approached from a variety of methodological directions, for example, computational modeling, cognitive assessment in brain-damaged humans, non-invasive brain monitoring in humans, and single-neuron recording in animals. Lectures will alternate with sessions in seminar format. Prerequisites include graduate standing or strong prior background in at least one relevant discipline, and permission of the instructors.
Seminar for advanced graduate students and postdoctoral fellows. Provides guidance on a variety of "survival skills" in a series of monthly workshops. For more information contact the course director at SURVIVAL+@PITT.EDU. 2045 Readings In Neuroscience 1 (3 credits) Instructors: Edward Stricker Linda Rinaman Bill Yates A seminar for first-year graduate students in the Department of Neuroscience. The goal of the course is to develop skills in critical evaluation of the primary scientific literature, with a focus on problems involved in investigating the structure and functional properties of neural systems. Skills in effective public presentation of scientific research also are developed.
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