 | | Course ID: | ARTI 2130. 3 hours. | | Course Title: | AI for Humans: Learning to Live with AI | Course
Description: | A study of ethical issues that arise with the adoption of artificial intelligence technologies. This course will help students understand the technologies involved, and the effects they have on society and help them develop possibilities for the resolution of problems that may arise. | | Athena Title: | AI for Humans | | Grading System: | A-F (Traditional) |
| | | Course ID: | ARTI(LING)(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, LING 3550, PSYC 3550, PHIL 3550, ARTI 3550H, LING 3550H, PSYC 3550H, PHIL 3550H | | 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(LING)(PSYC)(PHIL) 3550H. 3 hours. | | Course Title: | Introduction to Cognitive Science (Honors) | 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 Hon | | Equivalent Courses: | Not open to students with credit in ARTI 3550, LING 3550, PSYC 3550, PHIL 3550, ARTI 3550E, LING 3550E, PSYC 3550E, PHIL 3550E | | Prerequisite: | (PSYC 1030H or PSYC 1101 or PSYC 1101E or PHIL 2010 or PHIL 2010H or PHIL 2010E) and permission of Honors | | Grading System: | A-F (Traditional) |
| | | Course ID: | ARTI(LING)(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, LING 3550E, PSYC 3550E, PHIL 3550E, ARTI 3550H, LING 3550H, PSYC 3550H, PHIL 3550H | | 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(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) |
| | | Course ID: | ARTI 9000. 1-12 hours. Repeatable for maximum 60 hours credit. | | Course Title: | Doctoral Research | Course
Description: | Research while enrolled for a doctoral degree under the direction of faculty members. | | Athena Title: | Doctoral 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 9300. 1-12 hours. Repeatable for maximum 60 hours credit. | | Course Title: | Doctoral Dissertation | Course
Description: | Dissertation writing under the direction of the major professor. | | Athena Title: | Doctoral Dissertation | | Nontraditional Format: | Independent research and preparation of the doctoral dissertation. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | S/U (Satisfactory/Unsatisfactory) |
|