Clayton T Morrison
- Associate Professor, School of Information
- Associate Professor, Statistics-GIDP
- Associate Professor, Cognitive Science - GIDP
Contact
- Richard P. Harvill Building, Rm. 437A
- Tucson, AZ 85721
- claytonm@email.arizona.edu
Degrees
- M.S. Computer Science
- University of Massachusetts, Amherst, Massachusetts, United States
- Ph.D. Philosophy
- Binghamton University, Binghamton, New York, United States
- Situated Representation
- M.A. Philosophy
- Binghamton University, Binghamton, New York, United States
- B.A. Cognitive Science
- Occidental College, Los Angeles, California, United States
Interests
Research
Machine Learning, Causal Inference, Artificial Intelligence, Automated Planning, Knowledge Representation, Cognitive Science
Courses
2020-21 Courses
-
Directed Research
INFO 692 (Fall 2020) -
Dissertation
INFO 920 (Fall 2020)
2019-20 Courses
-
Artificial Intelligence
INFO 550 (Spring 2020) -
Artificial Intelligence
ISTA 450 (Spring 2020) -
Capstone
INFO 698 (Spring 2020) -
Dissertation
INFO 920 (Spring 2020) -
Dissertation
INFO 920 (Fall 2019) -
Independent Study
CSC 599 (Fall 2019) -
Independent Study
INFO 699 (Fall 2019) -
Independent Study
MATH 599 (Fall 2019) -
Intro to Machine Learning
INFO 521 (Fall 2019) -
Intro to Machine Learning
ISTA 421 (Fall 2019) -
Research
INFO 900 (Fall 2019)
2018-19 Courses
-
Directed Research
INFO 492 (Spring 2019) -
Dissertation
INFO 920 (Spring 2019) -
Independent Study
STAT 599 (Spring 2019) -
Dissertation
INFO 920 (Fall 2018) -
Independent Study
INFO 699 (Fall 2018) -
Intro to Machine Learning
INFO 521 (Fall 2018) -
Intro to Machine Learning
ISTA 421 (Fall 2018)
2017-18 Courses
-
Capstone
INFO 698 (Summer I 2018) -
Directed Research
INFO 492 (Summer I 2018) -
Artificial Intelligence
INFO 550 (Spring 2018) -
Artificial Intelligence
ISTA 450 (Spring 2018) -
Directed Research
INFO 692 (Spring 2018) -
Dissertation
INFO 920 (Spring 2018) -
Independent Study
INFO 499 (Spring 2018) -
Directed Research
INFO 692 (Fall 2017) -
Dissertation
LIS 920 (Fall 2017) -
Intro to Machine Learning
INFO 521 (Fall 2017) -
Intro to Machine Learning
ISTA 421 (Fall 2017)
2016-17 Courses
-
Artificial Intelligence
INFO 550 (Spring 2017) -
Artificial Intelligence
ISTA 450 (Spring 2017) -
Research
STAT 900 (Spring 2017) -
Dissertation
STAT 920 (Fall 2016) -
Honors Independent Study
ISTA 399H (Fall 2016) -
Independent Study
ISTA 599 (Fall 2016) -
Independent Study
LIS 699 (Fall 2016) -
Intro to Machine Learning
INFO 521 (Fall 2016) -
Intro to Machine Learning
ISTA 421 (Fall 2016)
2015-16 Courses
-
Honors Thesis
ISTA 498H (Summer I 2016) -
Independent Study
ISTA 499 (Summer I 2016) -
Bayesian Modeling & Inference
INFO 510 (Spring 2016) -
Bayesian Modeling & Inference
ISTA 410 (Spring 2016) -
Directed Research
ISTA 392 (Spring 2016) -
Honors Thesis
ISTA 498H (Spring 2016) -
Internship
ISTA 493 (Spring 2016) -
Research
LIS 900 (Spring 2016)
Scholarly Contributions
No activities entered.
