| Printer Friendly Page |
|
Fall 2004 First day of classes for CMU & Pitt: Monday, August 30, 2004. Core courses: Cognitive Neuroscience,
CMU Computer Science 15-781 Machine Learning: 12 units
Classes will not begin until after the CSD Immigration Course
CMU Psychology 85-706 Graduate Core Course Cognitive Psychology
85-713 Human Information Processing and Artificial Intelligence: 9 units
85-765
Cognitive Neuroscience: 9 units [CNBC core course]
Prerequisites:
Graduate standing
or two upper-level psychology courses from the areas of developmental
psychology, cognitive psychology, computational
modeling of intelligence, neuropsychology or neuroscience.
Graduate
Students Only. Please email Dr. Jay McClelland for permission to enroll
at mcclelland@cmu.edu
85-770 Perception: 9 units CMU Robotics 16-720 Section A, Computer Vision: 12 units This course
deals with the science and engineering of computer vision, that is, the analysis
of patterns in visual images of the world with the goal of reconstructing and
understanding the objects and processes in the world that are producing them.
The emphasis is on physical, mathematical, and information processing aspects
of vision. Topics covered include image formation and representation, camera
geometry and calibration, multi-scale analysis, segmentation, contour and region
analysis, energy-based techniques, reconstruction of based on stereo, shading
and motion, 3-D surface representation and projection, and analysis and recognition
of objects and scenes using statistical and model-based techniques. The material
is based on a recent graduate-level textbook augmented with research papers,
as appropriate. The course involves considerable Matlab programming exercises. Textbook Information: Prerequisites:
15-385. Some reservations are for Graduate Students in Robotics CMU Statistics 36-749 Experimental Design for Behavioral and Social Sciences: 12 units Statistical aspects of the design and analysis
of planned experiments are studied in this course. A clear statement of the
experimental factors will be emphasized. The design aspect will concentrate
on choice of models, sample size and order of experimentation. The analysis
phase will cover data collection and computation, especially analysis of
variance, and will stress the interpretation of results. In addition to weekly
lecture, students will attend a computer lab once a week. Prerequisite: 36-202,
36-220, or 36-247 Pitt Mathematics NONE. Pitt Neuroscience NROSCI 2005 Cognitive Neuroscience CR HRS: 3 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, i.e. computational modeling, cognitive assessment in brain-damaged
humans, non-invasive brain monitoring in humans and single-neuron recording
in animals. Lecture format will be used for most sessions, with a few
sessions devoted to discussion. Prerequisites: Graduate standing or permission
of the instructor. NROSCI 2011 Functional Neuroanatomy: CR HRS: 4.0 This course covers the basic
structure of the central nervous system from spinal cord to cerebral cortex. The
major sensory, motor and integrative neural systems of the human brain are
discussed. Based on an understanding of normal neural connections and
brain function, the anatomical and physiological basis of various neurological
disorders of the nervous system will be explored. Prerequisites: NROSCI 1000 or 1003. Special Enrollment
Counseling is required for registration. Students should contact Dr. Sesack
for permission
to register. NROSCI/MSNBIO 2100 Cellular and Molecular Neurobiology: CR HRS: 7.0 [CNBC core course] This is a required course for
students in the Program in Neuroscience, and also satisfies the CNBC core requirement
in neurophysiology. The course is very demanding. For this reason, CNBC students
not in the Neuroscience program might prefer to take Jon Johnson's undergraduate
neurophysiology course in the Spring instead. The regular syllabus will be
augmented with half a dozen supplementary lectures specifically for CNBC graduate
students. The Cellular and Molecular course covers
protein structure and function, gene expression, neuronal development, membrane
properties, the action potential, synaptic transmission, and second messenger
systems, and synaptic plasticity. It consists of a lecture section and a conference
section; students should sign up for both. The conference section is devoted
to discussion of papers in the primary literature. Pitt Psychology PSY 2205 Psychopathology: CR HRS: 3.0 The aim of this course is to
provide a critical background in research strategies, phenomena, empirical
research, and models of adult psychopathology. The course emphasis will be
on etiological and pathological research, with both psychological and biological
findings to be discussed. Course concentration will be on the major psychopathologies
with clinical onset in adulthood, including schizophrenia, affective disorders,
anxiety, addictions, and eating disorders. Conceptual and methodological issues
that cross diagnostic categories will be stressed. Treatment approaches and
differential diagnosis will be covered but not emphasized. Prerequisites: Permission
of the instructor if not psychology graduate student. PSY 2400 Human Cognition: Research Methods: CR HRS: 3.0 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 experiment, write-up an experiment and an in-class final. This is an advanced course on attention. Topics covered include
selective attention, vigilance, theories, skill acquisition, automatic processing,
and feature search. Physiology of attention, and learning effects. Students
read and discuss current research papers in the area and are expected to
carry out either an empirial or review research project in the area. |