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Rev. May 2004
I. Basic Requirements
- Core Course Requirement: Complete 6 CNN topic courses and two
out-of-home-area core courses. (Four of the CNN topic courses will also fulfill
the department's seminar requirement stated in "Guidelnes").
By end of
year 2: Complete 6 topic courses among those offered as Psychology
733.
By end of Year 3: Complete 2 out-of-home-area core courses (out of
Cognitive and Cognitive Neurosciences) core courses. The courses that can be
used to fulfill this requirement may be chosen from the departmental core
courses listed on page 9 of “Guidelines” and courses in other departments that
contribute to the Language, Memory, and Cognition and Perceptual Systems
enterprise, e.g., linguistics, computer science, communication disorders,
philosophy, neurosciences, and electrical engineering. In consultation with the
major professor, students must file a petition to the Graduate Committee
requesting approval of the proposed courses if the courses are not listed in
“Guidelines.” A syllabus of the proposed course and justification of why the
course should be counted must be submitted as part of the petition. (Note:
Courses outside the department which are intended to satisfy this requirement
may also be counted toward the outside-the-department minor.)
- Methodology Course Requirement: By end of year 1, complete 610. By end of
year 3, complete second and third methodology courses from among those on the
approved list (see below).
- Each student is required to enroll in the Proseminar in Experimental
Psychology (701, 1 credit) each semester.
- First Year Project: same as department requirements (see
Guidelines).
- Certification for the Preliminary Examination: same as department
requirements (see Guidelines).
- Students are strongly encouraged to sit for prelims by the end of the third
year. The prelim examination seeks to evaluate the student's oral and written
mastery of at least two content areas within Cognitive and Cognitive
Neurosciences. Students choose a committee of three faculty members, consisting
of two members of the Cognitive and Cognitive Neurosciences area group and one
outside-the-area member. The student's major advisor serves as chair of the
prelim committee. Students should consult their committee regarding the areas of
emphasis and timing of the examination. Students are strongly encouraged to meet
with the members of their committee on a regular basis prior to the anticipated
date of the exam. Students are strongly encouraged to provide each member of
their committee with a reading list, typically 2-3 months before the anticipated
exam date.
Written requirements for the prelim exam are ONE of the
following:
- A written exam consisting of two four-hour sessions. The written exam should
be designed such that 1 hour of each session is devoted to planning, thinking,
organizing; while 3 hours are devoted to writing.
OR
- Two literature reviews and/or theoretical syntheses of publishable quality.
Students should consult their committee members regarding the topic and breadth
of the papers.
OR
- Some combination of (1) and (2) contingent upon approval by the prelim
committee.
The written exam is followed by a 1-2 hour oral
examination with the prelim committee. The oral exam should occur no more than
two weeks after the written exam. The intent of the oral exam is to allow the
student to expand on the issues addressed in the written format (i.e., exam
and/or papers) in an informal setting that is similar to professional
evaluations. Faculty should "grade" the written exam PRIOR TO THE ORAL EXAM and
communicate any areas of particular concern to the student's major professor.
The major advisor is required to communicate these concerns to the student (at
least 24 hours) prior to the meeting. The faculty members will meet in private
immediately after the oral exam to decide upon the final evaluation. Grades for
the prelim exam are: Fail, Pass, and Pass with
distinction.
II. Methodology Courses That
May Be Taken By CNN Students as Second and Third Methodology Courses
- Computer Science:
Any graduate-level course numbered 302 or higher,
except 332, 550, 638, and 699.
- Educational Psychology:
EDP 711 Structural equation modeling
EDP 711
Hierarchical Linear Modeling
EDP 773 Factor anaysis
EDP 861 Statistical
analysis & design in education research
EDP 862 Multivariate
analysis
EDP 870 Test theory I (formerly 770)
- Genetics:
GEN 610 Quantitative genetics
GEN 620 Populations and
quantitative genetics
GEN 629 Population genetics
- Electrical and Computer Engineering: Any graduate-level course numbered 401
or higher. Samples are shown below.
ECE 401 Electro-acoustical
engineering
ECE 407 Audio system analysis
ECE 430 Random signal analysis
ECE 431 Digital signal processing
ECE 531 Speech signal processing
ECE 532 Theory and application of pattern recognition
ECE 533 Image
processing
- Industrial Engineering:
IE 433 Introduction to optimization methods
IE 525 Linear programming methods
IE 526 Advanced linear programming
IE 611 Systems modeling
IE 612 Computer methods in systems analysis
IE 623 Deterministic modeling techniques
IE 624 Stochastic modeling
techniques
- Mathematics:
Any graduate-level course numbered 309 or higher. Samples
are shown below.
MAT 415 Mathematics for dynamic modeling
MAT 443
Applied linear algebra
- Neurophysiology:
NUE 461 Mathematical and computer modeling of
physiological systems
- Philosophy:
PHI 511 Symbolic logic
- Phychology:
PSYCH 615 Quantitative methods in psychology
PSYCH 710
Design and analysis of psychological experiments
PSYCH 711 Applied
mutlivariate analysis
PSYCH 711 Applied structural equation modeling
PSYCH
916 Mathematical Models of Psychological Processes
- Statistics:
Any graduate-level course numbered 313 or higher.
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