University of Pittsburgh

Course Requrierments (in effect up to 11/09/17)

 

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
required                      

required

Core ISSP 2160 / CS 2710 Foundations of Artificial Intelligence required required
ISSP 2170 / CS 2750 Machine Learning
ISSP 3712 / CS 3740 Knowledge Representation
ISSP 2230 / CS 2731 Introduction to Natural Language Processing
2 required 2 required
Theory Applied or mathematical statistics BIOST 2041 Intro to Statistical Methods 1 (sample syllabus)
BIOST 2042 Intro to Statistical Methods 2 (sample syllabus)
BIOINF 2054 Statistical Foundations for Bioinformatics Data Mining
BIOINF 2118 Statistical Foundations of Biomedical Informatics
STAT 2131 Applied Statistical Methods 1 (sample syllabus)
STAT 2132 Applied Statistical Methods 2 (sample syllabus)
1 required 1 required
Theory of computation, algorithms CS 2110 Theory of Computation
CS 2150 Design and Analysis of Algorithms
ISSP 3520 / CS 3120 Theory of Learning Algorithms
1 required 1 required
  One additional course. Any of the theory courses listed above are acceptable. required required
Advanced courses Four ISSP advanced lecture courses, numbered 2000 or higher and approved by the PhD adviser. 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
required                     

required

  ISSP 2083 / BIOINF 2032 Biomedical Informatics Journal Club
ISSP 2015 / BIOINF 2011 Foundations of Clinical and Public Health Informatics
ISSP 2160 / CS 2710 Foundations of Artificial Intelligence

required
required
required

required
required
required

  ISSP 2170 / CS 2750 Machine Learning
ISSP 2230 / CS 2731 Introduction to Natural Language Processing
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 (sample syllabus)
BIOST 2042 Intro to Statistical Methods 2 (sample syllabus)
BIOINF 2054 Statistical Foundations for Bioinformatics Data Mining
BIOINF 2118 Statistical Foundations of Biomedical Informatics
STAT 2131 Applied Statistical Methods 1 (sample syllabus)
STAT 2132 Applied Statistical Methods 2 (sample syllabus)
1 required 1 required
  ISSP 2070/BIOINF 2101 Probabilistic Methods for Computer-based Decision Support
ISSP 2081 Foundations of Bioinformatics
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. not required required


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