COURSES	TITLE	INSTRUCTOR	TIME	ROOM
Ling 545-401	Mathematical Foundations I	Kahana/Liberman	W 9-12
Psyc 612-401	Statistics	Rosenbaum	TR 12-1:30	JMHH G65
Psyc 709-301	Ethics and Professional Standards	Hunt	R 11-1	Arranged
Psyc 709-302	Psychodynamic Approaches to Psychopathology and Treatment	Barber	W 4-6:30	3535 Market Conf.Rm.
Psyc 727-401	Electronics for Scientists	Andrews-Labenski	TR 4-5:30	PsyL A16
Psyc 739-301	S/T Perception	Backus/Swingley	T 1:30-4:30	Rm. 326A/3401 Walnut
Psyc 751-301	S/T Cognitive Psychology	Gleitman/Gleitman	Arranged	Arranged
Psyc 757-301	Language & Communication Sciences Research Seminar	Trueswell	Arranged	Arranged
Psyc 774-401	Attitudes & Behavioral Predictions	Fishbein	T 1:30-4:30	Anns 318
Psyc 781-401	Auditory Neurobiology	Richards/Saunders	Arranged	Arranged
Psyc 811-301	Psychodiagnostic Interviewing	Hunt	Arranged	Arranged
Psyc 815-301	Introductory Practicum	Hunt	Arranged	Arranged
Psyc 820-301	Advanced Practicum	DeRubeis	Arranged	Arranged
Psyc 820-302	Advanced Practicum	Goldstein	Arranged	Arranged
Psyc 820-303	Advanced Practicum	Hunt	Arranged	Arranged
	How to Teach	H.Gleitman	R 1-4	PsyL C16

   
                    

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Psyc 604-401

Cognitive Neuroscience

Russell Epstein

 

Cross-listed with INSC 592

.50 c.u.  Meets January 9 through 1/9/06 through 2/24/06 

Introduction to Cognitive Neuroscience.  This course will review what has been learned about the neural mechanisms underlying intelligent behavior in humans and animals.  The course will be organized by the traditional topic areas of cognitive science, specifically:  Vision (early vision through object recognition), attention, learning and memory, motor control, planning and problem-solving, and language.  Within each topic we will attempt to integrate the results of the different neuroscience approaches to each topic, including the study of human neurological patients, lesion studies in animals, single unit recordings, neural network modelling, and functional imaging techniques. (Fulfills the "Brain" requirement)

Psyc 604-402

Cognitive Neuroscience

Amishi Jha

 

Cross-listed with INSC 592

.50 c.u.  Meets 2/27/06 through 4/21/06

Introduction to Cognitive Neuroscience.  This course will review what has been learned about the neural mechanisms underlying intelligent behavior in humans and animals.  The course will be organized by the traditional topic areas of cognitive science, specifically:  Vision (early vision through object recognition), attention, learning and memory, motor control, planning and problem-solving, and language.  Within each topic we will attempt to integrate the results of the different neuroscience approaches to each topic, including the study of human neurological patients, lesion studies in animals, single unit recordings, neural network modelling, and functional imaging techniques. (Fulfills the "Brain" requirement)

Psyc 609-401

Systems and Integrative Neuroscience

Michael Nusbaum

Cross-listed with INSC 573

This course provides an introduction to what is known about how neuronal circuits solve problems for the organism and to current resarch approaches to this question.  Topics include: vision, audition, olfaction, motor systems, plasticity, and oscillations.  In addition, the course aims to provide an overview of the structure of the central nervous system.  A number of fundamental concepts are also discussed across topics, such as: lateral inhibition, integration, filterting, frames of reference, error signals, adaptation.  The course format consists of lectures, discussions, readings of primary literature, supplemented by textbook chapters and review articles. (Fulfills the "Brain" requirement)

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Ling 545-401

Mathematical Foundations I

Mike Kahana/Mark Liberman

Cross-listed with Cogs 501

**This is Part 1 of a two-semester course.  May be use to count toward one Prosem - permission of DGS required

The backgrounds and mathematical sophistication of the students entering the LCS-IGERT graduate program will vary widely. A two-semester Mathematical Foundations sequence will provide all students with basic mathematical modeling and algorithmic tools, while still providing sufficient challenges for the most advanced. These two courses (course numbers to be announced soon), will be taught in a computer/media lab setting and will cover relevant aspects of a wide range of mathematical topics that are directly relevant to animal, human or machine communication, or that provide prerequisites for these topics. Examples of topics directly relevant to communication include information theory, game theory, and formal language theory. Examples of important topics include signal processing, machine learning, and probabilistic models. These two semesters obviously cannot substitute entirely for the dozen or more semesters that normally would be required to cover a similar range of topics. However, they can give students the ability to understand and implement algorithms from published descriptions, Re: Mathematical Foundationsespecially given appropriate libraries of basic functions, and to discuss alternative approaches with experts in a well-informed manner. It is clearly not the case that every LCS-IGERT students will use every mathematical or algorithmic topic from this course in his or her research. However, applications are often unexpected, and fortune favors the prepared. In addition, this background will enablestudents to make sense of a wide range of courses and readings that might otherwise be inaccessible. Finally, the shared experience of this course will help IGERT students to establish a personal as well as conceptual basis for future collaborations. Each semester of this two-semester sequence will be  co-taught by two faculty members (Liberman and Kahana will teach the first semester, in Spring of 2006). Because of the diversity of topics and of  the students' backgrounds, the two-semester course sequence will be organized into a series of "modules", each designed to explicate a core mathematical and algorithmic topic. Each module will deal with specific problems of the type that IGERT students need to solve and will be as self-contained as possible, although of course one module will often require understanding of concepts and techniques taught in another.  Fulfills the "Mind" requirement.

Psyc 612-401

Statistics

Paul Rosenbaum

Cross-listed with Stat 500

Covers two unrelated topics: loglinear and logit models for discrete data and nonparametric methods for nonnormal data. Emphasis is on practical methods of data analysis and their interpretation. Primarily for doctoral students in the managerial, behavioral, social and health sciences. May be taken before Stat 500 with permission of instructor.

Psyc 709-301

Ethics and Professional Standards

Melissa Hunt

This half semester course will cover a number of required topics relevant to the practice of clinical psychology.  Topics include, but are not limited to:  confidentiality and privilege; legal requirements for record keeping, including HIPAA legislation and how to deal with subpoenas; duty to warn and duty to protect; management of suicidality, homicidality and suspected or confirmed child abuse; problematic dual relationships; informed consent for treatment; criminal liability (e.g. fraud and billing practices); and the importance of practicing within one’s area of competence, including knowing when to seek supervision/consultation, when to refer, and multicultural competence issues.  Permission of instructor required.

Psyc 709-302

Psychodynamic Approaches to Psychopathology and Treatment

Jacques Barber

The course will cover major psychoanalytic theories of psychopathology and psychotherapy and discussion of students' actual clinical cases.

Psyc 727-401

Electronics for Scientists

John Andrews-Labenski

 

Cross-listed with INSC 727-401

An introductory theory and practicum course covering the essential principles and applications of electronics.  Emphasis is on understanding basic electricity, measurements, instrumentation, circuit simulation, data acquisition, and computer control systems used in research environments.  http://www.psych.upenn.edu/shop/psyc727)  

 

Psyc 739-301

S/T Perception

Ben Backus/Daniel Swingley

Perceptual Learning:  Perception is guided by experience: over a range of time scales, what we have experienced in the past alters the way we interpret information in the present.  This seminar will focus on perceptual learning, broadly construed.  Topics will include adaptation effects, models of category learning, attention, and infant learning, among others.  Readings will be primary source material.  Prerequisites: any course in perception, cognitive psychology, or cognitive neuroscience; or instructor permission.

Psyc 751-301

Special Topics in Cognitive Psychology

Henry Gleitman/Lila Gleitman

This is a research seminar in cognitive psychology offered by Henry and Lila Gleitman.  The seminar meets every Wednesday evening at the Gleitmans.  To assure intellectual continuity, participation has to be on a one-year basis.  Participation (whether by registration or auditing) is by permission of the instructors.  If interested, get in touch with either Henry or Lila Gleitman via e-mail.

Psyc 757-301

Language and Communication Sciences Research Seminar.

John Trueswell

This weekly research seminar is designed to provide an intellectualgathering for those students interested in the interdisciplinary study of language and communication. It is our hope that this seminar will increase intellectual interaction among students from different disciplines who are all nevertheless engaged in the study of language and communication. Sessions will alternate between what we call  From-Within and From-Without meetings.    During a From-Within meeting, a student participant will be asked to present his/her ongoing research to the group, thereby providing an opportunity for the student to explain his/her work to non-experts in related disciplines.  During From-Within weeks, students will present and discuss selected readings by experts from outside Penn, in particular, that week's colloquium speaker at the Institute for Research in Cognitive Science, or the Brain and Lanuage series.  This "journal club" will expose students to research going on outside Penn, and prepare all of us for the colloquium in a way that is not normally possible.  Please contact Professor Trueswell by e-mail (trueswel@psych.upenn.edu) if you are interesdted in attending.  Lunch will be provided.

Psyc 774-401

Attitudes & Behavioral Prediction

Martin Fishbein

Cross-listed with COMM 577

An introduction to the concept of attitude and its role in behavioral prediction.  The course will cover standardized attitude measurement instruments (e.g., GThurstone, Likert, Guttman and Semantic Differential Scales), expectancy-value models, and psychological or individual level theories of behavioral prediction and change (e.g., Health Belief Model, Theory of Reasoned Action, Theory of Planned Behavior, Social Cognitive Theory, Theory of Interpersonal Relations and Subjective Culture, and the Transtheoretical Stage of Change Model).  Emphasis will be placed upon how an understanding of theory and measurement is necessary for developing effective behavior change interventions.

Psyc 781-401

Auditory Neurobioloy

Virginia Richards/Jim Saunders

Cross-listed with INSC 581-401

This course will review the fundamental processes and mechanisms of the peripheral and central auditory system. Topics include an overview of auditory transduction as a mechanical and electro-chemical process; the processing of simple and complex acoustical signal in the central auditory pathway, and the pathophysiology of hearing due to excessive sound exposure or ototoxic drug treatment.

Psyc 811-301

Psychodiagnostic Interviewing

Melissa Hunt

Psyc 815-301

Introductory Practicum

Melissa Hunt

Psyc 820-301

Advanced Practicum

Rob DeRubeis

Psyc 820-302

Advanced Practicum

Alan Goldstein

Psyc 820-303

Advanced Practicum

Melissa Hunt

How to Teach

Henry Gleitman

This course will be run as a practicum. Every student will give a lecture for an undergarduate psych class - ideally Psyc 001, which will be crtiqued by all members of the class for content and presentation.