Duke University 2009-2010 - Office of the Registrar - Duke University
Duke University 2009-2010 - Office of the Registrar - Duke University
Duke University 2009-2010 - Office of the Registrar - Duke University
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
to evaluate and critique tests. Students learn to administer, score and interpret eh WPPSI, WISC, WAIS, and selected<br />
tests <strong>of</strong> academic achievement and neuropsychological brain functions. Students learn to write a formal report <strong>of</strong><br />
assessment findings, to give oral consultations to patients, parents and referring physicians, to understand <strong>the</strong> legal<br />
aspects <strong>of</strong> assessment practice, and to appropriately apply test for diagnosis and treatment planning. Instructor: M<strong>of</strong>fitt.<br />
3 units.<br />
355. Research Practicum. Students will be involved in a research apprenticeship to a faculty member for hands-on<br />
experience with research efforts. Instructor: Staff. 3 units.<br />
356. Research Practicum. Students will be involved in a research apprenticeship to a faculty member for hands-on<br />
experience with research efforts. Instructor: Staff. 3 units.<br />
357S. Cognitive Neuroscience Colloquia. Graduate students (2nd year and higher) and o<strong>the</strong>r research trainees (e.g.<br />
postdocs) in cognitive neurosciences will each take a turn at presenting a research topic (e.g. a research update, a practice<br />
talk, an experimental proposal, presentation <strong>of</strong> a scientific article) in a forum aimed at helping junior researchers develop<br />
and hone <strong>the</strong>ir presentation skills. Consent <strong>of</strong> instructor required. Instructor: Woldr<strong>of</strong>f and staff. 1 unit.<br />
359S. Principles in Cognitive Neuroscience I. Introduction to <strong>the</strong> cognitive neuroscience <strong>of</strong> emotion, social cognition,<br />
executive function, development, and consciousness. Topics also include cognitive disorders, and computer modeling.<br />
Highlights current <strong>the</strong>ories, methodological advances, and controversies. Students evaluate and syn<strong>the</strong>size findings<br />
across a variety <strong>of</strong> research techniques. Consent <strong>of</strong> instructor required. Instructor: Cabeza, Labar, Purves, or Woldorff.<br />
3 units. C-L: Neurobiology 349S, Philosophy 359S<br />
360S. Principles in Cognitive Neuroscience II. Introduction to <strong>the</strong> cognitive neuroscience <strong>of</strong> emotion, social cognition,<br />
executive function, development, and consciousness. Topics also include cognitive disorders, and computer modeling.<br />
Highlights current <strong>the</strong>ories, methodological advances, and controversies. Students evaluate and syn<strong>the</strong>size findings<br />
across a variety <strong>of</strong> research techniques. Consent <strong>of</strong> instructor required. Instructor: Cabeza, Labar, Purves, or Woldorff.<br />
3 units. C-L: Neurobiology 350S, Philosophy 360S<br />
362. Functional Magnetic Resonance Imaging. The course covers all aspects <strong>of</strong> functional magnetic resonance imaging,<br />
from its basic principles in physics, engineering, biophysics, and physiology; through computational, analytic, and<br />
signal processing issues; to its applications in neurobiology and cognitive neuroscience. The course will consist <strong>of</strong><br />
weekly lectures and integrated laboratory sessions. Lectures will be given by BIAC faculty, and will incorporate primary<br />
readings in <strong>the</strong> field to encourage discussion. The laboratory sessions will involve analysis <strong>of</strong> fMRI data sets that<br />
illustrate issues discussed in <strong>the</strong> lectures. Students will gain experience both in <strong>the</strong> <strong>the</strong>oretical principles <strong>of</strong> fMRI and<br />
in <strong>the</strong> practical aspects <strong>of</strong> experimental design and data analysis. Instructor: Huettel. 3 units. C-L: Neurobiology 381<br />
363S. Psychology and Neuroscience First Year Seminar I. Analysis and discussion <strong>of</strong> current models and research in<br />
psychology and neuroscience. Focus is on <strong>the</strong>ories and research in brain-behavior relations, particularly those relevant<br />
for perception, memory, and attention in humans and animals. Instructor: Staff. 1.5 units.<br />
364S. Psychology and Neuroscience First Year Seminar II. Analysis and discussion <strong>of</strong> current models and research in<br />
psychology and neuroscience. Focus is on <strong>the</strong>ories and research in brain-behavior relations, particularly those relevant<br />
for perception, memory, and attention in humans and animals. Instructor: Staff. 1.5 units.<br />
366. Applied Analysis <strong>of</strong> Variance. Application <strong>of</strong> analysis <strong>of</strong> variance typical in psychology and related disciplines.<br />
Introduction to <strong>the</strong> general linear model. Foundations <strong>of</strong> experimental design, probability, inference. Topics include:<br />
one factor ANOVA, factorial ANOVA with two- and three-way interactions, trend analysis, within-subjects designs,<br />
analysis <strong>of</strong> covariance, effect size and power estimation. Equips students to apply, interpret, and report results <strong>of</strong><br />
ANOVA. Training in <strong>the</strong> use <strong>of</strong> SAS statistical computing system. Mandatory weekly lab sessions. Assumes undergraduate<br />
statistics course; understanding <strong>of</strong> basic statistical concepts. Consent <strong>of</strong> instructor required. Instructor: Staff. 3<br />
units.<br />
367. Applied Correlation and Regression Analysis. Applications <strong>of</strong> correlation and regression analysis typical in<br />
psychology and related disciplines. Correlation topics include: computing, testing, and comparing zero-order, partial,<br />
and semi-partial correlation coefficients. Regression topics include: logic <strong>of</strong> model comparison, hierarchical analysis,<br />
effect and dummy coding, interaction effects, curvilinear effects, diagnostics, and power estimation. Equips students<br />
to apply, interpret, and report results <strong>of</strong> correlation and multiple regression analyses. Training in <strong>the</strong> use <strong>of</strong> <strong>the</strong> SAS<br />
statistical computing system. Mandatory weekly lab sessions. Assumes prior graduate training in general linear model.<br />
Consent <strong>of</strong> instructor required. Instructor: Staff. 3 units.<br />
368. Applied Structural Equation Modeling. Applications <strong>of</strong> structural equation modeling typical in psychology and<br />
related disciplines. Topics include: notation, path diagrams, specification and identification, estimation, modification,<br />
power estimation, measurement models, multivariate regression models, panel models, growth models. Emphasis on<br />
model comparisons, limits on causal inference. Equips students to apply, interpret, and reports results <strong>of</strong> structural<br />
equation modeling analyses. Training in <strong>the</strong> use <strong>of</strong> relevant s<strong>of</strong>tware. Mandatory weekly lab sessions. Prerequisite:<br />
Psychology 274 or equivalent. Consent <strong>of</strong> instructor required. Instructor: Staff. 3 units.<br />
369. Research Syn<strong>the</strong>sis and Meta-Analysis (G). 3 units. C-L: see Education 369<br />
Departments, Programs, and Course Offerings 196