Degree Requirements
Students are expected to have the prerequisites needed to take the courses necessary to obtain the PhD degree in ISP. These may be required if not already taken.
General Intelligent Systems Track
First-year students
- ISSP 2020 - Topics in Intelligent Systems
- INFSCI 3005 - Introduction to the Doctoral Program
- ISSP 2030 - Advanced Topics in Intelligent Systems
Core
AND choose two of the following:
- ISSP 2170 / CS 2750 - Machine Learning
- ISSP 2230 / CS 2731 - Intro to Natural Language Processing
- ISSP 2180 / CS 2770 - Computer Vision
Theory
Applied or mathematical statistics. Choose one of the following:
- BIOST 2041 - Introduction to Statistical Methods 1
- BIOST 2042 - Introduction to Statistical Methods 2
- BIOINF 2118 - Statistical Foundations of Biomedical Informatics
- STAT 2131 - Applied Statistical Methods 1
- STAT 2132 - Applied Statistical Methods 2
Theory of computation, algorithms. Choose one of the following:
One additional course required. Any of the theory courses listed above are acceptable.
Advanced courses
Four ISSP advanced lecture courses, numbered 2000 or higher and approved by the PhD advisor.
Biomedical Informatics Track (ISP/MI)
This assumes that a student already has training in a health care field; if this is not so, then the faculty will select a set of courses that teach the student basic medical knowledge, and the student may take these courses as electives.
First-year students
- ISSP 2020 - Topics in Intelligent Systems
- INFSCI 3005 - Introduction to the Doctoral Program
- ISSP 2030 - Advanced Topics in Intelligent Systems
Core
- ISSP 2083 / BIOINF 2032 - Biomedical Informatics Journal Club
- ISSP 2016 / BIOINF 2070 - Foundations of Biomedical Informatics 1
- ISSP 2160 / CS 2710 - Foundations of Artificial Intelligence
Then choose one of the following:
- ISSP 2170 / CS 2750 - Machine Learning
- ISSP 2230 / CS 2731 - Intro to Natural Language Processing
- ISSP 2180 / CS 2770 - Computer Vision
AND choose one of the following:
- CS 1510 - Algorithm Design
- CS 2150 - Design & Analysis of Algorithms
- CS 3150 - Advanced Topics in Design & Analysis of Algorithms
AND choose one of the following:
- BIOST 2041 - Introduction to Statistical Methods 1
- BIOST 2042 - Introduction to Statistical Methods 2
- BIOINF 2118 - Statistical Foundations of Biomedical Informatics
- STAT 2131 - Applied Statistical Methods 1
- STAT 2132 - Applied Statistical Methods 2
AND choose two of the following:
- ISSP 2070 / BIOINF 2101 - Probabilistic Methods
- ISSP 2017 / BIOINF 2071 - Foundations of Biomedical Informatics 2
- ISSP 2240 / INFSCI 2130 - Decision Analysis and Decision Support Systems
- BIOINF 2121 - Human-computer Interaction and Evaluation Methods
- BIOINF 2117 - Applied Medical Informatics
- BIOINF 2016 - Foundations of Translational Informatics
- BIOINF 2124 - Principles of Global Health Informatics
Advanced Courses
Three (3) advanced lecture courses, numbered 2000 or higher, relevant to ISP and approved by the academic advisor.
TA
TA any biomedical informatics (BIOINF) course that is cross-listed as an ISSP course.
For more degree requirements details, visit the Intelligent Systems course catalog.