Cognitive and Cognitive Neurosciences
· Cognitive and Cognitive
Requirements for Cognitive and Cognitive Neurosciences Students Entering
Fall 1999 or Later
Rev. May 2004
I. Basic Requirements
Requirement: Complete 6 CCN topic courses and two out-of-home-area core
courses. (Four of the CCN 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
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.)
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).
is required to enroll in the Proseminar in
Experimental Psychology (701, 1 credit) each semester.
Project: same as department requirements (see Guidelines).
for the Preliminary Examination: same as department requirements (see
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.
literature reviews and/or theoretical syntheses of publishable quality.
Students should consult their committee members regarding the topic and breadth
of the papers.
3. 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
II. Methodology Courses That May Be Taken By CCN Students as Second and
Third Methodology Courses
Any graduate-level course numbered 302 or higher, except 332, 550, 638, and
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)
GEN 610 Quantitative genetics
GEN 620 Populations and quantitative genetics
GEN 629 Population genetics
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
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
Any graduate-level course numbered 309 or higher. Samples are shown below.
MAT 415 Mathematics for dynamic modeling
MAT 443 Applied linear algebra
NUE 461 Mathematical and computer modeling of physiological systems
PHI 511 Symbolic logic
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
Any graduate-level course numbered 313 or higher.
© 2003 by the Board of Regents of the University of