By the end of the course, students should have learned:

1. About the historical antecedents of cognitive psychology, including behaviorism,
   neobehaviorism, verbal learning, linguistics, human engineering, communication
   engineering, information theory, and computer science, and be able to specify
   which elements were contributed by each to current cognitive psychology.
2. About the role of attention in cognitive processes, including models of selective
   attention, and filter and capacity models of limited capacity attentional systems.
3. About models of sensory memory, short term memory, working memory, and long term 
   memory and to relate the models to the output of attentional processes.
4. About modern models for the internal representation of knowledge, including
   feature comparison models, hierarchical networks, spreading activation models,
   and schema-based models, and be able to relate them to attentional and memory
   processes.
5. About the modern models for processing semantic and syntactic information and be
   able to explain computer programs for speech and text comprehension.
6. About the history of analyses of problem solving, including gestalt, behaviorist,
   neobehaviorist, and information processing and analyses.
7. The structure of problem solving computer models for general problem solving,
   game playing programs for chess and checkers and programs for solving arithmetic, 
   algebra and geometry problems. 
8. About modern models of Reasoning, Judgment and Decision making.

1.  Origins of Cognitive Psychology
2.  Attention
3.  Object Recognition
4.  Neural Models
5.  Schemata
6.  Representations:  Visuospatial and Imagery
7.  Representations:  Categories
8.  Memory:  Basics of Short Term Memory and Long Term Memory
9.  Memory:  Encoding
10. Memory:  Retrieval
11. Memory:  Picture memory, Distortions, Mnemonics
12. Cognitive and Motor Skill Acquisition
13. Psycholinguistics
14. Problem Solving
15. Reasoning
16. Judgment and Decision Making