Please refer to this Graduate & Professional Studies Catalog link for approved courses.

* Please note, the courses in BOLD at the bottom of the list have not been taught in the past three years.

All MATH listed courses will count as satisfactory for this requirement.

Dept Number Title Instructor Instructor Email
BIOENG 2001 Mathematical Methods in Bioengineering  Tin-Kan Hung  tkhung@pitt.edu  
BIOST 2049 Applied Regression Analysis Ada Youk ayouk@pitt.edu
         
ChE 2410 Methods in Applied Math for Chem Engs    
ECE 2671 Optimization Methods    
ECE

2082

Linear Optimization     
ECE  2521 Analysis of Stochastic Processes      
ME 2001 Differential equations Giovanni Galdi galdi@pitt.edu

ME

ME

2002

2060

Linear and complex analyses

Numerical Methods

Giovanni Galdi

Albert To

galdi@pitt.edu

albertto@pitt.edu

Stat 2220 Applied Regression Carl Bodenschatz cboden@pitt.edu
Stat 2661 Linear Models Theory 1 Allan Sampson asampson@pitt.edu

Please refer to this Graduate & Professional Studies Catalog link for approved courses.

Dept Number Title Instructor Typically offered in
CMU
(Psychology)
85-770 Cognitive Perception Klatzky, Roberta Spring 
BIOENG 2520 Molecular and Cell Biology and Biophysics  Partha Roy  
         
         
HRS 2004 Pathophysiology Across the Life Span   Alexander, Sheila   Summer
HRS  2306 Motor Learning and Control of Movement/Health Promotion Whitney, Susan Spring
HRS  2307 Fall and Balance Dysfunction  Whitney, Susan Spring 
HRS  2356 Concepts and Principles Related to Sensory Motor  Carvell, George Spring 
HRS 2710 Functional Neuromuscular Stimulation     
HRS 2771 Functional Anatomy and Physiology  Kamaraj, Deepan Chandru Fall  
HRS  2772 Orthology of Pathology and Prosthetics Fieldler, Goeran Fall
HRS 3898 Laboratory Techniques in Sports Medicine Connaboy, Christoper Fall
INTBP 2100 Scientific Basis of Vision  Fedorchak, Morgan; Rossi, Ethan; Sigal, Ian Fall 
MSCBIO /
CMPBIO
2030 Introduction to Computational Structural Biology Bahar, Ivet; Lezon, Timothy, Camacho, Carlos Fall
MSCMP 2730 Molecular Mechanisms of Tissue Growth and Diff. Katyal Bell Spring 
MSCMP 2740 Molecular Pathobiology Tim Oury Spring
MSCMP 2820 Topics in Integrative Physiology    
MSCMP 3750 Angiogenesis: Molecular Pathways and Pathophysiological Functions   Spring 
MSCMP 3710 Cancer Biology and Therapeutics Stabile, Laura; Locker, Joseph Fall
MSCMP 3740 Stem Cells Satdarshan Monga Fall
MSCMP  3770 Cell Therapy    Spring 
MSCMP 3780 A Systems Approach to Inflammation Clermont, Gilles Fall
MSIMM 2210 Comprehensive Immunology Fuschiotti, Patrizia Spring 
MSMBPH /
MPLBPH 
2001 Molecular Biophysics 1: Structure  Furey, William  Fall 
MSMBPH /
MOLBPH
2002 Molecular Biophysics 2: Theory and Simulation Danielman Fall
MSMGBD  2525 Developmental Mechanisms of Human Disease  Tsang, Michael; Yanowitz, Judith  Spring 
MSMPHL 3360 Molecular Pharmacology Galbaiti, Ferruccio  Fall 
MSNBIO  2614 Neuropharmacology  Palladino, Michael  Spring
MSNBIO 2070 Human Physiology  Yates, Bill Fall
NROSCI 2005 Cognitive Neuroscience Olson, Carl Fall
NROSCI 2011 Functional Neuroanatomy Susan Sesack sesack@bns.pitt.edu
NROSCI 2100 Cellular and Molecular Neurobiology Lillien, Laura Fall
NROSCI 2102 Systems Neuroscience Turner, Robert Spring 
NROSCI /
MSNBIO 
2112 Neurobiology  Lillien, Laura Spring 

Please refer to this Graduate & Professional Studies Catalog link for approved courses.

All courses in the STAT and BIOST Departments will count towards this requirement.

BIOENG 2525 APPLIED BIOSTATISTICS

BIOINF 2118 PROBABILITY AND STATISTICS FORBIOMEDICAL INFORMATICS   

BIOST 2014: INTRODUCTION TO BIOSTATISTICS FOR BIOMEDICAL SCIENTISTS  

BQOM 2401 STATISTICAL ANALYSIS: UNCERT

CLRES 2020 STATISTICAL APPROACHES IN CLINICAL RESEARCH

CMU 36-746 STATISTICAL METHODS FOR NEUROSCIENCE*CMU 36-759 STATISTICAL MODELS OF THE BRAIN* PSY 2010 STATISTICAL ANALYSIS 2STAT 2220 APPLIED REGRESSIONSTAT 2221 ADVANCED APPLIED MULTIVARIATE ANALYSIS*Note that these courses will only count with prior approval from the BioE Graduate Coordinator as a statistics course for those students in the Neural Engineering track area provided those students have a formal background in statistics, via an undergraduate degree or other means. Any questions and requests for the required approval should be directed to the Graduate Coordinator.