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Cognitive Science Graduate Certificate Program (Interdisciplinary)

The primary objective of this certificate is to supply graduate students interested in Cognitive Science with interdisciplinary training in the 3 major fields of Cognitive Science, Cognitive Psychology, Artificial Intelligence, and Linguistics. The focus of these courses is to develop core competencies to support research in cognitive science as well as applications in human-computer interaction, information systems, advertising and marketing, and design. While the program will be administered by the Institute for Intelligent Systems, the courses are being taught by seven different departments in four different colleges (Arts and Sciences, Communication Sciences and Disorder, Engineering, and Education).

A. Admissions Requirements

Applicants to the Cognitive Science Graduate Certificate may be admitted in any semester. The certificate will be promoted across all departments in the University and within the Institute for Intelligent Systems. Students currently admitted to a graduate program at the U of M may apply for admission. In rare instances, students who have not been admitted to a graduate program must apply to the Graduate School for admission as Non-Degree Seeking students; they will be considered for admission on an individual basis.

B. Program Requirements

The program requires completion of 15 semester credit hours distributed as follows:

The following course is required: PSYC 7514-8514, Seminar: Cognitive Science (Same as COMP 7514-8514 and PHIL 7514-8514)

One of the following courses is required:

    • PSYC 7207-8207, Developmental Psychology
    • PSYC 7208-8208, Psychology of Perception
    • PSYC 7211-8211, Cognitive Processes
    • PSYC 7222-8222, Psychology of Human Memory
    • PSYC 7407-8407, Cognition & Emotion
    • PSYC 7503-8503, Seminar Experimental Psychology
    • PSYC 7701-8701, Behavioral Neuroscience

One of the following courses is required:

    • AUSP 8017, Digital Signal Processing Speech/Hearing 
    • EECE 7216-8216, Computer Vision
    • EECE 7262-8262, Logical Foundations Artificial Intelligence
    • EECE 7266-8266, Prolog Processing/Intelligent Systems
    • COMP 6720, Introduction Artificial Intelligence (Same as EECE 6720)
    • COMP 6730, Expert Systems (Same as EECE 6730.)
    • COMP 7118-8118, Topics in Data Mining
    • COMP 7282-8282, Evolutionary Computation
    • COMP 7720-8720, Artificial Intelligence (Same as EECE 7720-8720)
    • COMP 7740-8740, Neural Networks (Same as EECE 7740-8740)
    • COMP 7745-8745, Computational Intelligence
    • COMP 7760-8760, Control of Autonomous Agents
    • COMP 7770-8770, Knowledge Representation/Reasoning
    • COMP 7780-8780, Natural Language Processing (Same as PSYC 7221-8221)
    • PSYC 7313-8313, Computational Models Cognitive Science

One of the following courses is required:

    • AUSP 7002-8002, Seminar Communication Sciences
    • AUSP 7000-8000, Speech Science
    • AUSP 7006-8006, Language and Speech Development
    • AUSP 7008-8008, Acoustic and Perceptual Phonetics
    • AUSP 7011-8011, Psycholinguistics
    • ENGL 7507-8507, Empirical Methods Linguistic Research
    • ENGL 7508-8508, Corpus Linguistics
    • ENGL 7511-8511, Survey of Linguistics
    • ENGL 7512-8512, Morphology and Syntax
    • ENGL 7590-8590, Applied/Theoretical Linguistics

Electives: Total credits: 3 hours (1 course)
One of the following courses is required outside of the student's field. Other elective courses may be selected in consultation with the program director.

    • AUSP 7002-8002, Seminar Communication Sciences
    • AUSP 7000-8000, Speech Science
    • AUSP 7006-8006, Language and Speech Development
    • AUSP 7008-8008, Acoustic and Perceptual Phonetics
    • AUSP 7011-8011, Psycholinguistics
    • AUSP 8017, Digital Signal Processing Speech/Hearing
    • EECE 7216-8216, Computer Vision
    • EECE 7262-8262, Logical Foundations Artificial Intelligence
    • EECE 7266-8266, Prolog Processing/Intelligent Systems
    • COMP 6720, Introduction Artificial Intelligence (Same as EECE 6720)
    • COMP 6730, Expert Systems (Same as EECE 6730.)
    • COMP 7118-8118, Topics in Data Mining
    • COMP 7282-8282, Evolutionary Computation
    • COMP 7720-8720, Artificial Intelligence (Same as EECE 7720-8720)
    • COMP 7740-8740, Neural Networks (Same as EECE 7740-8740)
    • COMP 7745-8745, Computational Intelligence
    • COMP 7760-8760, Control of Autonomous Agents
    • COMP 7770-8770, Knowledge Representation/Reasoning
    • COMP 7780-8780, Natural Language Processing (Same as PSYC 7221-8221)
    • IDT  7070-8070, The Instructional Design Process I
    • IDT  7074-8074, Theories and Models of Instructional Design
    • IDT  7090-8090, Development of Interactive Learning Environments I
    • PHIL 6421, Philosophy of Mind
    • PSYC 7207-8207, Developmental Psychology
    • PSYC 7208-8208, Psychology of Perception
    • PSYC 7211-8211, Cognitive Processes
    • PSYC 7222-8222, Psychology of Human Memory
    • PSYC 7301-8301, Research Design and Methodology
    • PSYC 7313-8313, Computational Models Cognitive Science
    • PSYC 7407-8407, Cognition & Emotion
    • PSYC 7503-8503, Seminar Experiment Psychology
    • PSYC 7514-8514, Seminar: Cognitive Science (repeatable; Same as COMP 7514-8514 and PHIL 7514-8514)
    • PSYC 7701-8701, Behavioral Neuroscience

C. Graduation Requirements:

  1. The student must complete all five Courses (4 required, 1 elective) with an average grade of B (3.0) or higher, for a total of 15 credit hours.
  2. In the semester of graduation, the student must submit the Apply to Graduate form to the Graduate School and a Graduate Certificate Candidacy form to the College Director of Graduate Studies by the deadline specified by the Graduate School.

NOTE: An interdisciplinary governance structure will manage and oversee the graduate certificate with primary leadership and accountability based in the Institute for Intelligent Systems.

The Associate Director of the Institute for Intelligent Systems will be the graduate coordinator for the program and will advise students regarding courses. This advising process will include an introductory meeting with students entering the certificate that focuses on course options and course prerequisites for later electives. The program will also have a Governance Board appointed by the Director of the Institute for Intelligent Systems. The Board will consist of 6 members. Members will come from the Institute for Intelligent Systems or affiliated departments.