Department of Psychology
The University of North Carolina at Chapel Hill
Psychology 20
Introduction to Cognitive Psychology
Spring 2004
Time: TR
12:30pm-1:45pm Place: 101 Davie Hall
Instructor: Dr. Ute Bayen, Assoc. Prof. Phone: 962-6729
Office: 362 Davie Email: ubayen@unc.edu
Mailbox: 206 Davie Office Hours:
will be announced
Course
Objectives:
How does our mind work? How do we remember, and why do we forget? How do children acquire language? Why do older adults become "forgetful" (or do they)? Do people think logically and make rational decisions? Can computers "think"? How do current scientific theories answer these questions, and is there empirical evidence to support them? These and other issues will be discussed in this comprehensive survey of the field of cognitive psychology.
Required:
Text: Reed, S. K. (2004). Cognition. Theory and Applications (6th ed.). Belmont,
CA: Wadsworth.
CD and Manual:
CogLab (2004). Wadsworth.
Optional: Study Guide to accompany Reed’s Cognition. (all available in
Student Stores)
______________________________________________________________________
Class
Schedule
Jan. 8 Introduction
Jan. 13 Origins
of Cognitive Psychology (Ch. 1, pp. 1-7; CogLab Manual pp.iii-ix)
CogLab CD assignment: testing the CD and printing
Jan. 15 Modern
Cognitive Psychology and its Domains (Ch. 1, pp. 7-14)
Jan. 20 Perception
and Pattern Recognition (Ch. 2, pp. 17-30, 35-40)
CogLab assignment:
Word Superiority
Jan. 22 Attention
(Ch. 3)
CogLab
assignment: Stroop Effect
Jan. 27 Memory
Models (Ch. 5, pp. 100-103; Ch. 2, pp. 38-40)
CogLab
assignment: Serial Position
Jan. 29 Sensory
Memory (Ch. 2, 30-34)
CogLab assignment:
Partial Report
Feb. 3 Short-Term
and Working Memory (Ch.4)
CogLab
assignment: Sternberg Search
Feb.
5 Exam 1
Feb. 10, 12 Episodic
Long-Term Memory (Ch. 5 and 6)
CogLab
assignment: Encoding Specificity (due Feb. 10)
Feb. 17 Models
of Semantic Memory
(Ch. 9, pp. 213-235)
CogLab assignment: Lexical Decision
Feb. 19 No Class, instructor in D.C. for
NIH Perception and Cognition grant proposal reviews
Feb. 24 Concepts & Categories (Ch. 8); Schemas
& Scripts (Ch. 9, 235-243)
Feb. 26, Mar 2 Imagery (Ch. 7)
CogLab assignment: Mental Rotation (due Feb.
26)
Mar. 4 Language
(Ch. 10)
Mar. 9, 11 No
Class (Spring Break)
Mar. 16, 18 Language (Ch. 11)
Mar.
23 Exam 2
Mar. 25 Problem Solving (Ch. 12)
Mar. 30 Reasoning (Ch. 13, pp. 329-338)
CogLab assignment:
Wason Selection Task
Apr. 1, 6 Judgement
and Decision Making (Ch. 14)
CogLab
assignment: Typical Reasoning
(due Apr. 1)
Apr. 8 Cognitive
Development in Children
CogLab
assignment: Make-Up (any of the above)
Apr. 13 Cognitive
Aging
Apr. 15 Current
Research in the Bayen Lab
Apr. 20 Artificial
Intelligence
Apr.
22 Exam 3
Apr.
29, 12 noon Exam 4 (comprehensive Final Exam)
The dates listed for
particular topics are approximate dates. Depending on students' interests we
might spend more or less time on particular topics.
Lectures:
The content of
lectures will range from a close correspondence with the textbook to the
presentation of material not covered in the textbook at all. Regular class attendance is
expected. If you have to miss a class
session you are responsible for making up what you have missed. Please ask one of your classmates for notes
and handouts. I cannot provide notes
and handouts for missed lectures. If,
however, you must miss several classes because of prolonged illness or an
emergency situation, please contact me to discuss the material you missed.
Class
participation:
Active class participation is strongly encouraged. Students who, at the end of the semester, have only a few points missing to reach the next higher course grade and have actively participated in class will receive the higher grade. I will often ask your opinion on issues, and I hope we will have lively discussions. Please also let me know when you would like repetition or clarification of a point. Please raise your hand when you would like to answer a questions or contribute to a discussion.
CogLab
experiments and written assignments
The CogLab CD allows you to run
demonstrations of important experiments on your computer. You will do each
experiment listed in the schedule above, answer some questions about it and
hand in your results and written responses.
For these assignments
please do the following:
1. During the first
week of classes, test your CogLab CD,
make sure you fulfil the technical requirements (e.g., you have access to a
computer and printer that can run the experiments and print out results,
respectively). Also read the general introduction in the Manual (pp. iii to
ix).
2. For each assigned
experiment, read the explanation of the experiment in your CogLab manual.
3. Using the CogLab
CD, click on the assigned experiment.
4. Make sure to enter your name so that the results
printout will have your name on it.
5. Read the
instructions on the computer screen.
6. Run the experiment
(complete all trials).
7. Save your results
(on your harddrive or a floppy disk from where you can print).
8. Make a printout of
your results (summary results, not trial by trial). Make sure this printout has
your name printed on it to prove that you did the experiment.
9. Answer in
writing three questions from the
“basic questions” listed in your CogLab Manual. For most experiments, there are
only three basic questions in the Manual. If there are more, you may pick any
three of them. Please write the title
of the experiment on top of the first page and your name in the upper right corner of the first page. The papers must
be typed. You may use your book (or other books) and/or your class notes to
answer the questions if that is helpful. However, you may not discuss an assignment with your classmates until you have
handed it in.
10. To hand in
the assignment, firmly staple your
paper (i.e., answer to questions) and the printout of your experiment results
together (no paper clips!), with your paper on top.
11. Hand in the
assignment before class on the due date.
There are 10 such assignments, each worth
10 points. You can thus earn a total of
100 points by completing them. I will read each paper, but I will not give
differential grades, that is, every student who completes the experiment,
answers three questions to the best of his/her ability, and hands in the assignment
on time will receive 10 points. The due dates for handing in a specific
homework assignment are listed in the course schedule. The papers are due at
12:30pm (start of class). No late
assignments will be accepted (no exceptions!). However, if you have to miss
an assignments because of an emergency, illness, or technical difficulties you
can make up this one assignment and hand it in on April 8. You can only do one
such make-up assignment. I do not accept e-mailed assignments.
Exams.
There will be four exams in this class.
The first three exams will include material that was covered in class, in
assigned readings, and in written assignments between two exams (e.g., Exam 3
includes what was covered between Exam 2 and Exam 3). The forth exam is a comprehensive Final Exam during finals
week. The final covers material from the entire course. Exams will consist of
multiple-choice, fill-in-the-blank, and short-answer questions. All exams are closed-book. Every one of the four exams will be graded
on a 0 to 100 point scale.
Only your three strongest exams will be
counted toward your course grade. That is, I will ignore the exam on which you
received the lowest number of points.
However, I will not give make-up exams. The points from your three best exams
will be added up. Thus, you can achieve
a total of 300 points for exams.
Course Grade.
Points from your
written assignments (up to 100 points) and from your three best exams (up to
300 points) will be added up to determine your course grade. Your course grade is determined by the percentage
points you reach. Grades will be assigned as follows:
Grade Percent
A = 100-94
A- = 93-90
B+ = 89-87
B = 86-84
B- =
83-80
C+ =
79-77
C =
76-74
C- = 73-70
D+ = 69-67
D = 66-60
F =
59 or less
Honor Code. The University Honor Code will be
reinforced. Any violation will be
reported to the Student Attorney General.
Violations of the honor code include any form of academic dishonesty
such as cheating, plagiarism, or the deliberate misrepresentation of fact. If you have any questions regarding the
Honor Code, please ask me.