PSYC 331

Spring 2006 All Classes

All Classes

Credit: 4 hours.

Examination of the methods used to study human thought processes, including attention, memory, decision-making, language and concepts. Students will learn to design, carry out, and report research in cognitive psychology.

Prerequisite: PSYC 224 or 248; and PSYC 235.

PSYC 331 class schedule data for spring 2006
CRN Type Section Time Day Location Instructor Section Details
39639
Laboratory
AB1
8:00AM -9:50AM
MW
37 Psychology Building
Kuchinsky, S
Hummel, J
Part of Term:
1
Date Range:
01/17/06-05/03/06
Section Info:
This semester, this course introduces students to the basics of neural network modeling. It emphasizes the formal characteristics of the main classes of networks and the evaluation of neural networks as models of human perception and cognition. The course requires familiarity with basic mathematics (matrix algebra and calculus are recommended but not required; basic algebra is a must) and computer programming skills. Priority enrollment given to Psychology seniors through Nov. 4. Psychology juniors priority begins Nov. 5.
39640
Laboratory
AB2
10:00AM -11:50AM
MW
37 Psychology Building
Kuchinsky, S
Hummel, J
Part of Term:
1
Date Range:
01/17/06-05/03/06
Section Info:
This semester, this course introduces students to the basics of neural network modeling. It emphasizes the formal characteristics of the main classes of networks and the evaluation of neural networks as models of human perception and cognition. The course requires familiarity with basic mathematics (matrix algebra and calculus are recommended but not required; basic algebra is a must) and computer programming skills. Priority enrollment given to Psychology seniors through Nov. 4. Psychology juniors priority begins Nov. 5.
39641
Laboratory
AB3
1:00PM -2:50PM
MW
37 Psychology Building
Kandhadai, P
Hummel, J
Part of Term:
1
Date Range:
01/17/06-05/03/06
Section Info:
This semester, this course introduces students to the basics of neural network modeling. It emphasizes the formal characteristics of the main classes of networks and the evaluation of neural networks as models of human perception and cognition. The course requires familiarity with basic mathematics (matrix algebra and calculus are recommended but not required; basic algebra is a must) and computer programming skills. Priority enrollment given to Psychology seniors through Nov. 4. Psychology juniors priority begins Nov. 5.
39642
Laboratory
AB4
3:00PM -4:50PM
MW
37 Psychology Building
Kandhadai, P
Hummel, J
Part of Term:
1
Date Range:
01/17/06-05/03/06
Section Info:
This semester, this course introduces students to the basics of neural network modeling. It emphasizes the formal characteristics of the main classes of networks and the evaluation of neural networks as models of human perception and cognition. The course requires familiarity with basic mathematics (matrix algebra and calculus are recommended but not required; basic algebra is a must) and computer programming skills. Priority enrollment given to Psychology seniors through Nov. 4. Psychology juniors priority begins Nov. 5.
39546
Lecture
AL1
10:30AM -12:20PM
R
207 Psychology Building
Hummel, J
Part of Term:
1
Date Range:
01/17/06-05/03/06
Section Info:
This semester, this course introduces students to the basics of neural network modeling. It emphasizes the formal characteristics of the main classes of networks and the evaluation of neural networks as models of human perception and cognition. The course requires familiarity with basic mathematics (matrix algebra and calculus are recommended but not required; basic algebra is a must) and computer programming skills. Priority enrollment given to Psychology seniors through Nov. 4. Psychology juniors priority begins Nov. 5.
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