CSE 5531
Transcript Abbreviation:
Intr Cogn Sci
Course Description:
Interdisciplinary survey of the fields of artificial intelligence, linguistics, neuroscience, philosophy of mind, and psychology; various aspects of cognitive perception, representation, and computation.
Course Levels:
Undergraduate (1000-5000 level)
Graduate (5000-8000 level)
Designation:
Elective
General Education Course:
(N/A)
Cross-Listings:
Cross-listed in Ling, Philos, or Psych.
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits:
(N/A)
Total Completions Allowed:
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: At least 12 cr hrs in at least two of these four subjects (only 6 cr hrs from any one subject): CSE, Ling, Philos, Psych.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 612, Linguist 612, Philos 612, or Psych 612.
Course Goals / Objectives:
Master the lingua franca of cognitive science - the language of information processing
Master specific concepts, theories, and experimental results in cognitive science
Master multiple definitions of the foundational concepts of computation and representation and be able to discuss them from multiple points of view
Be competent with the interdisciplinary nature of cognitive science, the diversity of viewpoints, the controversies and the areas of nascent consensus
Be competent with reading and discussing research papers from multiple disciplines
Be familiar with brain anatomy and physiology
Be familiar with the basic cognitive architecture - how perception, memory, language, motor control, and so forth come together to produce adaptive behavior
Be familiar with the components of a grammar: phonology, morphology, syntax, and semantics
Be familiar with writing critical essays on topics outside one?s area of specialization
Be exposed to each of the five constituent disciplines and be familiar with its methods, key concepts, and focus of investigation
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC out-of-class | REC in-class | Weekly LAB out-of-class | Weekly LAB in-class |
|---|---|---|---|---|---|
| Introduction | 1.5 | 0.0 | 0 | 0.0 | 0 |
| Philosophy: Overview. Nativism vs. empiricism. Mind-body problem. Functionalism. Turing Test. Modularity of mind. Consciousness. | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Neuroscience: Overview. Brain anatomy. Neuroimaging. Neurophysiology. Synaptic plasticity. Biological basis of learning. Brain damage. Amnesia. Aphasia. Agnosia. | 6.0 | 0.0 | 0 | 0.0 | 0 |
| Artificial Intelligence: Overview. Turing machines. Physical symbol systems. Heuristic search. Connectionism. Machine Learning. | 6.0 | 0.0 | 0 | 0.0 | 0 |
| Psychology: Overview. Behaviorism vs. cognitive psychology. Perception and psychophysics. Multiple memory systems. Executive control. High-level cognition. | 6.0 | 0.0 | 0 | 0.0 | 0 |
| Linguistics: Overview, Components of a grammar. Phonology. Syntax. Compositionality, systematicity, and productivity. Semantics. Language acquisition. Is language innate? | 6.0 | 0.0 | 0 | 0.0 | 0 |
| Integration: What is representation? Answers from all 5 disciplines. Cognitive architectures. ACT-R. Leabra. | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Robotics and Embodied Cognition: Overview. Symbol grounding. | 1.5 | 0.0 | 0 | 0.0 | 0 |
| Advanced Topics | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Exams | 3.0 | 0.0 | 0 | 0.0 | 0 |
| Total | 39 | 0 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Summary papers (3 papers, 8% each) | 24% |
| Attendance and participation | 10% |
| Midterm Exam 1 | 20% |
| Midterm Exam 2 | 20% |
| Final Exam | 26% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Cognitive Science: An Introduction to the Study of Mind | Friedenberg & Silverman |
ABET-CAC Criterion 3 Outcomes:
| Some contribution (1-2 hours) | 1 | Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. |
| Substantial contribution (3-6 hours) | 3 | Communicate effectively in a variety of professional contexts. |
| Substantial contribution (3-6 hours) | 4 | Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles |
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
| Some contribution (1-2 hours) | 1 | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
| Substantial contribution (3-6 hours) | 3 | an ability to communicate effectively with a range of audiences - pre-2019 EAC SLO (g) |
| Substantial contribution (3-6 hours) | 4 | an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |
| Substantial contribution (3-6 hours) | 7 | an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Embedded Literacies Info: