Courses

HR
 

Find a Course

Use the menus below to help you find a course.

By Prefix and Number: PREFIX: NUMBER:
By Prefix:
 
 
HR
Advanced Search

Keyword Search
Online Learning (E)
Service-Learning (S)
Honors (H)
Integrated Language (I)
Writing Intensive (W)
Non-Credit Discussion Group (D)
Lab (Non-Credit and Credit) (L)

Quicklinks

Schedule of Classes
Transfer Equivalency Search
Course Application Deadlines


Syllabus information is only available for a single course. Enter a specific course number or select a specific course ID from the drop down list, to view syllabus information.
       
Course ID:ARTI(PSYC)(PHIL) 3550. 3 hours.
Course Title:Introduction to Cognitive Science
Course
Description:
Interdisciplinary study of mind and intelligent activity that forms cognitive sciences. Contributions of psychology, philosophy, linguistics, biology, anthropology, computer science, and education toward uncovering important aspects of the mind and intelligent activity are discussed.
Athena Title:Intro to Cognitive Science
Equivalent Courses:Not open to students with credit in ARTI 3550E, PSYC 3550E, PHIL 3550E
Prerequisite:PSYC 1030H or PSYC 1101 or PSYC 1101E or PHIL 2010 or PHIL 2010H or PHIL 2010E
Semester Course
Offered:
Offered fall and spring semester every year.
Grading System:A-F (Traditional)
       
Course ID:ARTI(PSYC)(PHIL) 3550E. 3 hours.
Course Title:Introduction to Cognitive Science
Course
Description:
Interdisciplinary study of mind and intelligent activity that forms cognitive sciences. Contributions of psychology, philosophy, linguistics, biology, anthropology, computer science, and education toward uncovering important aspects of the mind and intelligent activity are discussed.
Athena Title:Intro to Cognitive Science
Equivalent Courses:Not open to students with credit in ARTI 3550, PSYC 3550, PHIL 3550
Nontraditional Format:This course will be taught 95% or more online.
Prerequisite:PSYC 1030H or PSYC 1101 or PSYC 1101E or PHIL 2010 or PHIL 2010H or PHIL 2010E
Semester Course
Offered:
Offered summer semester every year.
Grading System:A-F (Traditional)
       
Course ID:ARTI(PHIL) 4340/6340. 3 hours.
Course Title:Ethics and Artificial Intelligence
Course
Description:
AI-based machines are making life-and-death decisions out in the world and can lead to additional bias and injustice in society. Examination of ethical issues and obligations related to AI. Topics include politics of technology, data collection and mining, algorithm creation and transparency, and the use and future of AI.
Athena Title:Ethics and AI
Prerequisite:PHIL 2030 or PHIL 2030E or PHIL 2030H or CSCI 3030 or CSCI 3030E or CSCI 3030H or CSCI(PHIL) 4550/6550 or a 3000-level PHIL course
Semester Course
Offered:
Offered spring semester every year.
Grading System:A-F (Traditional)
       
Course ID:CSCI(ARTI) 4530/6530. 4 hours.
Course Title:Introduction to Robotics
Course
Description:
Introduction to the hardware and software involved in autonomous mobile robotics. Course content emphasizes the mathematical and statistical models related to robotic perception and motion, associated algorithms, and their programming in computer- simulated environments. Course structure involves classroom instruction, written and programming assignments, and exams.
Athena Title:Introduction to Robotics
Undergraduate Prerequisite:(CSCI 2610 or CSCI 2611) and CSCI 2720
Graduate Prerequisite:Permission of department
Semester Course
Offered:
Not offered on a regular basis.
Grading System:A-F (Traditional)
       
Course ID:CSCI(ARTI) 4540/6540. 3 hours.
Course Title:Symbolic Programming
Course
Description:
Programming in LISP and PROLOG, with emphasis on artificial intelligence techniques. Other languages used for artificial intelligence work will be presented more briefly.
Athena Title:SYMBOLIC PROG
Prerequisite:CSCI 1302 or permission of department
Pre or Corequisite:CSCI(PHIL) 4550/6550
Semester Course
Offered:
Not offered on a regular basis.
Grading System:A-F (Traditional)
       
Course ID:CSCI(ARTI) 4600/6600. 3 hours.
Course Title:Reinforcement Learning
Course
Description:
Reinforcement learning studies methods for learning to act optimally based on the reward or punishment over time. Such machine learning is useful when we wish to learn high-quality behavior under uncertainty and the only data are reward signals. Introduces classical and modern methods in single- and multi-agent settings.
Athena Title:Reinforcement Learning
Prerequisite:CSCI(PHIL) 4550/6550
Semester Course
Offered:
Not offered on a regular basis.
Grading System:A-F (Traditional)
       
Course ID:ARTI 4900. 3 hours. Repeatable for maximum 18 hours credit.
Course Title:Topics in Artificial Intelligence
Course
Description:
Special topics in artificial intelligence. Topics will vary. Consult the program director for the specific topics to be offered in a given year.
Athena Title:Topics in Artificial Intellige
Nontraditional Format:Topics course.
Semester Course
Offered:
Not offered on a regular basis.
Grading System:A-F (Traditional)
       
Course ID:ARTI 4950. 3-9 hours. Repeatable for maximum 9 hours credit.
Course Title:Directed Readings in Cognitive Science
Course
Description:
Reading and independent research on a specified topic beyond normal course offerings and closely supervised by the instructor. Application should be made in advance of registration to the Artificial Intelligence Center Director. Open only to students prepared to pursue advanced material.
Athena Title:DIR READING COG SCI
Nontraditional Format:Directed study.
Prerequisite:Permission of department
Semester Course
Offered:
Offered fall, spring and summer semester every year.
Grading System:A-F (Traditional)
       
Course ID:ARTI 4960R. 1-6 hours. Repeatable for maximum 16 hours credit.
Course Title:Faculty-Mentored Undergraduate Research I
Course
Description:
Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, and synthesize and interpret data and to present results in writing and other relevant communication formats.
Athena Title:Undergraduate Research I
Nontraditional Format:This course belongs to a progressive research course sequence to promote a student's increasing skill development and depth of inquiry, as well as growing independent research capability. This course requires the close supervision of a faculty member as the student undertakes a systematic and in-depth inquiry into unknown, fundamental, and applied problems. In some cases, the student will work collaboratively as part of a research team. The student will have to apply understanding of the discipline to identify or shape research questions and apply skills and techniques learned to the research project. Students will gather data, synthesize relevant literature, analyze, and interpret data. The student will present results in writing or through participation in research-group or program meetings and meetings with their faculty mentor. The student will receive feedback from the faculty mentor on their research progress and written or oral presentation of results. A minimum of 45 hours of work per credit hour per semester is required.
Prerequisite:Permission of department
Semester Course
Offered:
Offered fall, spring and summer semester every year.
Grading System:A-F (Traditional)
       
Course ID:ARTI 4970R. 1-6 hours. Repeatable for maximum 8 hours credit.
Course Title:Faculty-Mentored Undergraduate Research II
Course
Description:
Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data and to present results in writing and other relevant communication formats.
Athena Title:Undergraduate Research II
Nontraditional Format:These courses belong to a progressive research course sequence to promote a student's increasing skill development and depth of inquiry, as well as growing independent research capability. The courses require the close supervision of a faculty member as the student undertakes a systematic and in-depth inquiry into unknown, fundamental, and applied problems. In some cases, the student will work collaboratively as part of a research team. The student will have to apply understanding of the discipline to identify or shape research questions and apply skills and techniques learned to the research project. Students will gather data, synthesize relevant literature, analyze, and interpret data. The student will present results in writing or through participation in research-group or program meetings and meetings with their faculty mentor. The student will receive feedback from the faculty mentor on their research progress and written or oral presentation of results. A minimum of 45 hours of work per credit hour per semester is required.
Prerequisite:Permission of department
Semester Course
Offered:
Offered fall, spring and summer semester every year.
Grading System:A-F (Traditional)
       
Course ID:ARTI 4980R. 1-6 hours. Repeatable for maximum 8 hours credit.
Course Title:Faculty-Mentored Undergraduate Research III
Course
Description:
Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data and to present results in writing and other relevant communication formats.
Athena Title:Undergraduate Research III
Nontraditional Format:These courses belong to a progressive research course sequence to promote a student's increasing skill development and depth of inquiry, as well as growing independent research capability. The courses require the close supervision of a faculty member as the student undertakes a systematic and in-depth inquiry into unknown, fundamental, and applied problems. In some cases, the student will work collaboratively as part of a research team. The student will have to apply understanding of the discipline to identify or shape research questions and apply skills and techniques learned to the research project. Students will gather data, synthesize relevant literature, analyze, and interpret data. The student will present results in writing or through participation in research-group or program meetings and meetings with their faculty mentor. The student will receive feedback from the faculty mentor on their research progress and written or oral presentation of results. A minimum of 45 hours of work per credit hour per semester is required.
Prerequisite:Permission of department
Semester Course
Offered:
Offered fall, spring and summer semester every year.
Grading System:A-F (Traditional)
       
Course ID:ARTI 4990R. 1-6 hours. Repeatable for maximum 8 hours credit.
Course Title:Undergraduate Research Thesis (or Final Project)
Course
Description:
Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data. Students will write or produce a thesis or other professional capstone product, such as a report or portfolio that describes their systematic and in-depth inquiry.
Athena Title:Undergraduate Thesis
Nontraditional Format:This is a capstone course under the direct supervision of a faculty member. This course may be the culmination of the 4960R- 4980R sequence. Students will write a thesis or other professional capstone product, such as a report or portfolio, that describes their systematic and in-depth inquiry into an unknown, fundamental, or applied problem. The thesis or capstone product is written in close collaboration with the faculty member and must be approved by that faculty member and/or the department. The student will apply understanding of the discipline to identify or shape the research question and apply skills and techniques learned to complete the research project. The student will have gathered data, synthesized relevant literature and materials, analyzed, and interpreted data. The student will demonstrate in writing the contribution of their work to the discovery and interpretation of knowledge significant to their field of study. The student will have presented results in the form of a properly formatted, professionally rigorous thesis document or other appropriate professional capstone product and through the formal presentation of the thesis or product to faculty and peers during an approved event. The student will receive feedback from the faculty member on the overall execution of their thesis project, the written thesis, and their presentation.
Prerequisite:Permission of department
Semester Course
Offered:
Offered fall, spring and summer semester every year.
Grading System:A-F (Traditional)
       
Course ID:ARTI 6900. 3 hours. Repeatable for maximum 18 hours credit.
Course Title:Topics in Artificial Intelligence
Course
Description:
Special topics in artificial intelligence. Topics will vary. Consult the program director for the specific topics to be offered in a given year.
Athena Title:Topics in Artificial Intellige
Nontraditional Format:Topics course.
Semester Course
Offered:
Not offered on a regular basis.
Grading System:A-F (Traditional)
       
Course ID:ARTI 6950. 1 hour.
Course Title:Faculty Research Seminar
Course
Description:
Weekly research seminar. Students must attend and write a report at the end of the semester.
Athena Title:Faculty Research Seminar
Prerequisite:Permission of department
Semester Course
Offered:
Offered fall semester every year.
Grading System:A-F (Traditional)
       
Course ID:ARTI 7000. 1-9 hours. Repeatable for maximum 15 hours credit.
Course Title:Master's Research
Course
Description:
Research while enrolled for a master's degree under the direction of faculty members.
Athena Title:MASTER'S RESEARCH
Nontraditional Format:Independent research under the direction of a faculty member.
Prerequisite:Permission of department
Semester Course
Offered:
Offered fall, spring and summer semester every year.
Grading System:S/U (Satisfactory/Unsatisfactory)
       
Course ID:ARTI 7007. 3 hours. Repeatable for maximum 12 hours credit.
Course Title:Internship in Artificial Intelligence Business/Industry
Course
Description:
Internship in a professional setting allowing students to integrate their educational experience with real world situations in logic programming, expert system development, heuristic search, etc.
Athena Title:INTERN AI BUS/IND
Nontraditional Format:Supervised occupational experience in business and industry.
Prerequisite:Permission of department
Semester Course
Offered:
Offered fall, spring and summer semester every year.
Grading System:S/U (Satisfactory/Unsatisfactory)
       
Course ID:ARTI 7300. 1-9 hours. Repeatable for maximum 30 hours credit.
Course Title:Master's Thesis
Course
Description:
Thesis writing under the direction of the major professor.
Athena Title:MASTER'S THESIS
Nontraditional Format:Independent research and thesis preparation.
Prerequisite:Permission of department
Semester Course
Offered:
Offered fall, spring and summer semester every year.
Grading System:S/U (Satisfactory/Unsatisfactory)
       
Course ID:ARTI 8000. 3 hours. Repeatable for maximum 17 hours credit.
Course Title:Topics in Artificial Intelligence
Course
Description:
Special topics in artificial intelligence. Topics will vary. Consult the program director for the specific topics to be offered in a given year.
Athena Title:Topics in Artificial Intell
Nontraditional Format:Topics course.
Prerequisite:Permission of department
Semester Course
Offered:
Not offered on a regular basis.
Grading System:A-F (Traditional)
       
Course ID:ARTI 8800. 1-5 hours. Repeatable for maximum 17 hours credit.
Course Title:Directed Readings in Artificial Intelligence
Course
Description:
Directed reading and research in artificial intelligence in area of student's special interest.
Athena Title:Directed Reading Artif Intel
Nontraditional Format:Directed study.
Prerequisite:Permission of department
Semester Course
Offered:
Offered fall, spring and summer semester every year.
Grading System:A-F (Traditional)
       
Course ID:CSCI(ARTI) 8950. 4 hours.
Course Title:Machine Learning
Course
Description:
An in-depth introduction to machine learning methods and an exploration of research problems in machine learning and its applications which may lead to work on a project or a dissertation.
Athena Title:MACHINE LEARNING
Prerequisite:CSCI(PHIL) 4550/6550 or CSCI 4560/6560 or permission of department
Semester Course
Offered:
Not offered on a regular basis.
Grading System:A-F (Traditional)
HR
 
 
Privacy