SSOE - Bioengineering - Approved Courses

Approved Math Courses

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

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
BIOST	2042	Intro to Statistical Methods 2	John Wilson	jww@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
ECE	2523	Digital Signal Processing
Math	2070	Numerical methods in scientific computing 1	Myron Sussman	mms125@pitt.edu
Math	2071	Numerical methods in scientific computing 2	Myron Sussman	mms125@pitt.edu
Math	2090	Numerical Solution of ODEs	Ivan Yotov	yotov@pitt.edu
Math	2370	Matrices and linear operators 1	Jonathan Holland	jeh89@pitt.edu
Math	2371	Matrices and linear operators 2	Evgueni Trofimov	evt3@pitt.edu
Math	2500	Algebra 1	Alexandr Borisov	borisov@pitt.edu
Math	2700	Topology 1	Paul Gartside	pmg20@pitt.edu
Math	2800	Differential Geometry 1	Thomas Hales	hales@pitt.edu
Math	2801	Differential Geometry 2	Thomas Hales	hales@pitt.edu
Math	2950	Methods in Applied Math	G Ermentrout	bard@pitt.edu
Math	2960	Computational Fluid Mechanics
Math	3070	Numerical solution of non-linear systems
Math	3071	Numerical solution of PDEs	Ivan Yotov	yotov@pitt.edu
Math	3072	The finite element method	Ivan Yotov	yotov@pitt.edu
Math	3370	Computational Models in Neurobiology	G Ermentrout	bard@pitt.edu
Math	3075	Parallel Finite Element Method
Math	3375	COMPUTATIONAL NEUROSCIENCE METHODS	G Ermentrout	bard@pitt.edu
Math	3380	Mathematics in Molecular Biology	G Ermentrout	bard@pitt.edu
Math	2601-2604	Advanced Scientific Computing 1-4	William Layton	wjl@pitt.edu
Math	2900-01	PDEs 1 and 2	Anna Vainchtein	aav4@pitt.edu
Math	2920-21	ODEs 1 and 2	Jonathan Rubin	jonrubin@pitt.edu
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

Approved Life Sciences Courses

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

Dept	Number	Title	Instructor	Instructor Email
BIOENG	2065	Introduction to Cell Mechanobiology	James Wang
BIOENG	2500	Intro to Cell and Molecular Biology	Rich Koepsel
BIOENG	2520	Molecular and Cell Biology and Biophysics	Partha Roy	mailto:proy@pitt.edu
BIOENG	2620	Introduction to Tissue Engineering	Kacey Marra
BIOENG	2530	Biochemistry for Engineers	Rich Koepsel
BIOENG/MSCMP	3735	Extracellular Matrix in Biology and Bioengineering	Brown, Bryan	brownb@upmc.edu
BIOSC CMU (Psychology)	2070 85-770	Immunology Cognitive Perception	Klatzky, Roberta	klatzky@cmu.edu
HPRED	2390	Nutrition in Sport and Exercise	Otto, Amy
HRS	2004	Pathophysiology Across the Life Span	Alexander, Sheila
HRS	2301	Selected Topics in Anatomy
HRS	2306	Motor Learning and Control of Movement/Health Promotion	Susan Whitney	whitney@pitt.edu
HRS	2307	Fall and Balance Dysfunction
HRS	2356	Concepts and Principles Related to Sensory Motor
HRS	2710	Functional Neuromuscular Stimulation
HRS	2771	Functional Anatomy and Physiology	Ray Burdett	rgb@pitt.edu
HRS	2772	Orthology of Pathology and Prosthetics	Robert Mundell	r.mundell@comcast.net
HRS	3898	Laboratory Techniques in Sports Medicine	Timothy Sell	tcs15@pitt.edu
INTBP	2100	Scientific Basis of Vision
MSBMG	2520	Eukaryotic Molecular Genetics	John Chaillet	chaillet@pitt.edu
MSCBIO / CMPBIO	2030	Introduction to Computational Structural Biology	Daniel Zuckerman	dmz@ccbb.pitt.edu
MSCMP	2730	Molecular Mechanisms of Tissue Growth and Diff.	Katyal Bell
MSCMP	2740	Molecular Pathobiology	Tim Oury	tdoury@pitt.edu
MSCMP	2820	Topics in Integrative Physiology
MSCBMP	2830	Cellular and Molecular Physiology
MSCMP	2880	Cellular Biology of Normal and Disease States
MSCMP	3710	Cancer Biology and Therapeutics	Abdolreza Zarnegar Thomas Kensler	rezazar@pitt.edu
MSCMP	3740	Stem Cells	Satdarshan Monga	smonga@pitt.edu
MSCMP	3750	Angiogenesis: MOLECULAR PATHWAYS AND PATHOPHYSIOLOGICAL FUNCTIONS	Shiyuan Cheng	chengs@upmc.edu
MSCMP	3770	Cell Therapy
MSCMP	3780	A Systems Approach to Inflammation	Yoram Vodovotz	vodovotz@pitt.edu
MSIMM	2210	Comprehensive Immunology
MSMBPH / MOLBPH	2001	Molecular Biophysics 1 (Biophysical Methods)	Joanne Yeh, John Rosenberg	jiyeh@pitt.edu; rosenbrg@pitt.edu
MSMBPH / MOLBPH	2002	Molecular Biophysics 2: Theory and Simulation	Daniel Zuckerman	dmz@ccbb.pitt.edu
MSMBPH / MOLBPH	2003	Molecular Biophysics 3 (Biomolecular Interactions and Dynamics)	Sandord Leuba	leuba@pitt.edu
MSMGBD	2525	Developmental Mechanisms of Human Disease
MSMPHL	3360	Molecular Pharmacology
MSNBIO	2614	Neuropharmacology	Michael Palladino	mjp44@pitt.edu
MSNBIO	2640	Neuropharmacology	Michael Palladino	mjp44@pitt.edu
MSNBIO	2070	Human Physiology	Bill Yates	byates@pitt.edu
NROSCI	2005	Cognitive Neuroscience	Carl Olson	colson@cnbc.cmu.edu
NROSCI	2011	Functional Neuroanatomy	Susan Sesack	sesack@bns.pitt.edu
NROSCI	2035	Control of Movement	Marc Sommer	masommer@pitt.edu
MSNBIO	2070	Human Physiology	Billy Joe Yates	byates@pitt.edu
NROSCI	2100	Cellular and Molecular Neurobiology	Carl Lagenaur	lagenaur@pitt.edu
NROSCI	2102	Systems Neuroscience	Dan Simons
NROSCI/MSNBIO	2112	Neurobiology

Approved Statistics Courses

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 2

STAT 2220 APPLIED REGRESSION

STAT 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.