General
- Students must earn a grade of B- or better in each of the courses in the appropriate ISP curriculum (the General Intelligent Systems Track or the Biomedical Informatics Track ).
- Students must complete at least 72 (PhD) or 30 (MS) credits (including coursework and research) with a QPA of at least 3.0.
- See information about transfer and cross-registered credits from other institutions and about course substitutions.
General Intelligent Systems Track Curriculum
Prerequisites
Students are expected to have the undergraduate prerequisites needed to take the graduate courses required by the ISP. These may be required if not taken.
Curriculum
| Courses | Master's Degree | Doctoral Degree | |
|---|---|---|---|
| First Year Students | ISSP 2020 Topics in Intelligent Systems INFSCI 3005 Intro to Doctoral Program ISSP 2030 Advanced Topics in Intelligent Systems |
Encouraged, but not required | Required |
| Core | ISSP 2160 / CS 2710 Foundations of Artificial Intelligence
ISSP 2170 / CS 2750 Machine Learning ISSP 3712 / CS 3740 Knowledge Representation ISSP 2230 / CS 2731 Introduction to Natural Language Processing ISSP 2180 / CS 2770 Computer Vision |
Required
2 Required
|
Required
2 Required
|
| Theory | Applied or Mathematical Statistics BIOST 2041 Intro to Statistical Methods 1 BIOST 2042 Intro to Statistical Methods 2 BIOINF 2054 Statistical Foundations for Bioinformatics Data Mining BIOINF 2118 Statistical Foundations of Biomedical Informatics STAT 2131 Applied Statistical Methods 1 STAT 2132 Applied Statistical Methods 2 Theory of Computation, Algorithms CS 2110 Theory of Computation CS 2150 Design and Analysis of Algorithms ISSP 3520 / CS 3120 Theory of Learning Algorithms One additional course. Any of the theory courses listed above are acceptable. |
1 Required
1 Required
Required |
1 Required
1 Required
Required |
| Advanced Courses | Four ISSP advanced lecture courses, numbered 2000 or higher and approved by the student's advisor. | Required | Required |
Biomedical Informatics Track Curriculum (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.
Prerequisites
Students are expected to have the undergraduate prerequisites needed to take the graduate courses required by the ISP. These may be required if not taken.
Curriculum
| Courses |
Master's Degree |
Doctoral Degree | |
|---|---|---|---|
| First Year Students | ISSP 2020 Topics in Intelligent Systems INFSCI 3005 Intro to Doctoral Program ISSP 2030 Advanced Topics in Intelligent Systems |
Encouraged, but not required | Required |
| 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 |
Required | Required | |
| ISSP 2170 / CS 2750 Machine Learning ISSP 2230 / CS 2731 Introduction to Natural Language Processing ISSP 2180 / CS 2770 Computer Vision |
1 Required | 1 Required | |
| CS 1510 Design and Analysis of Algorithms (undergraduate level) CS 2150 Design and Analysis of Algorithms (graduate level) CS 3150 Advanced Topics in Design and Analysis of Algorithms |
1 Required | 1 Required | |
| BIOST 2041 Intro to Statistical Methods 1 BIOST 2042 Intro to Statistical Methods 2 BIOINF 2054 Statistical Foundations for Bioinformatics Data Mining BIOINF 2118 Statistical Foundations of Biomedical Informatics STAT 2131 Applied Statistical Methods 1 STAT 2132 Applied Statistical Methods 2 |
1 Required | 1 Required | |
| ISSP 2070/BIOINF 2101 Probabilistic Methods for Computer-based Decision Support ISSP 2017 / BIOINF 2071 Foundations of Biomedical Informatics 2 ISSP 2240 / INFSCI 2130 Decision Analysis and Decision Support Systems BIOINF 2111 Cognitive Studies for Health Informatics BIOINF 2017 Clinical Research Informatics BIOINF 2121 Human Computer Interaction and Evaluation Methods BIOINF 2117 Applied Medical Informatics BIOINF 2016 Foundations of Translational Bioinformatics BIOINF 2124 Principles of Global Health Informatics |
2 Required | 2 Required | |
| Advanced Courses | Graduate-level (2000 or higher, 3 credits or more) ISSP lecture course that has your adviser's approval as being relevant to your studies in the ISP. | 3 Required | 3 Required |
| TA | TA any biomedical informatics (BIOINF) course that is cross listed as an ISSP course. Students will register for three credits of the Doctoral Teaching Practicum BIOINF 3998 - special permission to be obtained from BMI training program coordinator. | Not Required | Required |