Twin Cities campus

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Twin Cities Campus

Experimental and Clinical Pharmacology Ph.D.

Experimental and Clinical Pharmacology
College of Pharmacy
Link to a list of faculty for this program.
Contact Information
Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, 7-115 Weaver-Densford Hall, 308 Harvard Street S.E., Minneapolis, MN 55455 (612-625-2160)
  • Program Type: Doctorate
  • Requirements for this program are current for Fall 2020
  • Length of program in credits: 48
  • This program does not require summer semesters for timely completion.
  • Degree: Doctor of Philosophy
Along with the program-specific requirements listed below, please read the General Information section of this website for requirements that apply to all major fields.
The Experimental and Clinical Pharmacology (ECP) graduate program was designed specifically for students interested in clinical research. Its goal is to advance the science of human pharmacology and therapeutics to improve the safe, effective, and economical use of drugs by patients. Students study such topics as experimental pharmacotherapy, drug metabolism, infectious disease, neuroscience/neuropharmacology, pharmacometrics, and pharmacogenomics. Graduates are prepared for distinguished careers in clinical research.
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program is 3.00.
A US bachelor's degree or a comparable foreign degree from a recognized college or university is required.
Preference is given to candidates who have had a professionally-related pharmacy education, but those from other fields such as biology, chemistry, statistics, and public health will be considered.
Other requirements to be completed before admission:
All international students who are non-English speakers are required to submit TOEFL scores. TOEFL test date must be within 2 years of program start. However, applicants who have completed 24 quarter credits or 16 semester credits within the past 24 months in residence as full-time students at recognized institutions of higher learning in the United States or other English-speaking countries before entering the University of Minnesota are generally exempted from this requirement. GRE required by all students except for applicants that have completed a PharmD at a U.S.-accredited institution.
Special Application Requirements:
Students are generally admitted to the ECP program for fall semester only. All application materials should be submitted by the admissions deadline listed on the departmental website. Applications received after the application deadline will be considered on a space-available basis only. Application to the ECP program at the University of Minnesota is done entirely online.
International applicants must submit score(s) from one of the following tests:
  • TOEFL
    • Internet Based - Total Score: 79
    • Internet Based - Writing Score: 21
    • Internet Based - Reading Score: 19
The preferred English language test is Test of English as Foreign Language.
Key to test abbreviations (TOEFL).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
24 credits are required in the major.
24 thesis credits are required.
This program may be completed with a minor.
Use of 4xxx courses toward program requirements is permitted under certain conditions with adviser approval.
A minimum GPA of 3.00 is required for students to remain in good standing.
At least 2 semesters must be completed before filing a Degree Program Form.
Required Courses (9 credits)
Take the following courses. Take ECP 8982 twice for a total of 2 credits, and take ECP 8100 2 times for a total of 2 credits.
ECP 5220 - Regulatory Issues in Drug Research (2.0 cr)
ECP 8230 - Principles of Clinical Pharmacology (2.0 cr)
ECP 8983 - Scientific Communications in Experimental and Clinical Pharmacology (1.0 cr)
ECP 8982 - Inter-Institutional Journal Club in Translational Research (1.0 cr)
ECP 8100 - Seminar (1.0 cr)
Statistical Analysis (4 credits)
Select at least one of the following courses in consultation with the advisor. Two courses are preferred and will count towards Electives or Focus Area.
PUBH 6450 - Biostatistics I (4.0 cr)
or STAT 5101 - Theory of Statistics I (4.0 cr)
or PUBH 6451 - Biostatistics II (4.0 cr)
or STAT 5102 - Theory of Statistics II (4.0 cr)
Electives
Take additional courses, in consultation with the director of graduate studies and/or advisor to complete the 24 course credits required.
ANAT 5xxx
or ANAT 6xxx
or ANAT 7xxx
or ANSC 5xxx
or ANSC 8xxx
or BBE 5xxx
or BBE 8xxx
or BICB 5xxx
or BICB 8xxx
or BINF 5xxx
or BIOC 5xxx
or BIOC 6xxx
or BIOC 8xxx
or BIOL 5xxx
or BIOL 6xxx
or BIOL 8xxx
or BMEN 5xxx
or BMEN 8xxx
or BMSC 8xxx
or BTHX 5xxx
or BTHX 8xxx
or CGSC 8xxx
or CHEM 5xxx
or CHEM 8xxx
or CLS 5xxx
or CLS 8xxx
or CMB 5xxx
or CMB 8xxx
or ECHO 4xxx
or ECP 5xxx
or ECP 8xxx
or EEB 5xxx
or EEB 8xxx
or GCD 5xxx
or GCD 6xxx
or GCD 8xxx
or HINF 5xxx
or HINF 8xxx
or MATH 5xxx
or MATH 8xxx
or MCDG 8xxx
or MEDC 5xxx
or MEDC 8xxx
or MICA 8xxx
or NSC 5xxx
or NSC 8xxx
or NSCI 5xxx
or NSCI 6xxx
or NURS 5xxx
or NURS 6xxx
or NURS 7xxx
or NURS 8xxx
or PHAR 5xxx
or PHAR 6xxx
or PHAR 7xxx
or PHCL 5xxx
or PHCL 8xxx
or PHM 5xxx
or PHM 6xxx
or PHM 8xxx
or PHSL 5xxx
or PHSL 6xxx
or PHSL 8xxx
or PUBH 5xxx
or PUBH 6xxx
or PUBH 7xxx
or PUBH 8xxx
or SAPH 5xxx
or SAPH 8xxx
or SCB 5xxx
or SCB 8xxx
or SCIC 8xxx
or STAT 5xxx
or STAT 8xxx
or TXCL 5xxx
or TXCL 8xxx
or VMED 5xxx
or VMED 8xxx
Thesis Credits
Take exactly 24 credit(s) from the following:
· ECP 8888 - Thesis Credit: Doctoral (1.0-24.0 cr)
Focus Areas
Pharmacometrics (11 credits)
Coursework chosen from the following list, or other courses to meet the 11-credit focus area requirement, are selected in consultation with the advisor.
ECP 8500 - Advances in Pharmacometrics Modeling and Simulation (1.0 cr)
or ECP 8501 - Pharmacometrics (2.0 cr)
or ECP 8502 - Introductory Population Pharmacokinetic Methods (2.0 cr)
or ECP 8503 - Intermediate Population PK/PD Methods (2.0 cr)
or ECP 8504 - Modeling Biologics (2.0 cr)
or ECP 8505 - Application of physiological-based pharmacokinetic modeling(PBPK) to model-informed drug development (2.0 cr)
or ECP 8506 - Clinical Trial Simulation (2.0 cr)
or PUBH 6450 - Biostatistics I (4.0 cr)
or PUBH 6451 - Biostatistics II (4.0 cr)
or PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis (3.0 cr)
or PUBH 7430 - Statistical Methods for Correlated Data (3.0 cr)
or PUBH 7440 - Introduction to Bayesian Analysis (3.0 cr)
or PUBH 7450 - Survival Analysis (3.0 cr)
or STAT 5101 - Theory of Statistics I (4.0 cr)
or STAT 5102 - Theory of Statistics II (4.0 cr)
-OR-
Neuroscience/Neuropharmacology (11 credits)
Coursework chosen from the following list, or other courses to meet the 11-credit focus area requirement, are selected in consultation with the advisor.
NSC 5461 - Cellular and Molecular Neuroscience (3.0 cr)
or NSCI 5501 - Neurodegenerative Diseases, Mechanisms to Therapies (3.0 cr)
or PUBH 6450 - Biostatistics I (4.0 cr)
or PUBH 6451 - Biostatistics II (4.0 cr)
or PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis (3.0 cr)
or Neuro-Immune Interactions
CMB 8361 - Neuro-Immune Interactions (3.0 cr)
or NSC 8026 - Neuro-Immune Interactions (3.0 cr)
or PHCL 8026 - Neuro-Immune Interactions (3.0 cr)
or Advanced Neuropharmaceutics
CMB 8481 - Advanced Neuropharmaceutics (4.0 cr)
or NSC 8481 - Advanced Neuropharmaceutics (4.0 cr)
or PHM 8481 - Advanced Neuropharmaceutics (4.0 cr)
-OR-
Infectious Diseases (11 credits)
Coursework chosen from the following list, or other courses to meet the 11-credit focus area requirement, are selected in consultation with the advisor.
ECP 5620 - Drug Metabolism and Disposition (3.0 cr)
or MICA 8002 - Structure, Function, and Genetics of Bacteria and Viruses (4.0 cr)
or MICA 8003 - Immunity and Immunopathology (4.0 cr)
or MICA 8010 - Microbial Pathogenesis (3.0 cr)
or PHAR 6224 - Advanced Pharmacogenomics and Precision Medicine (2.0 cr)
or PUBH 6450 - Biostatistics I (4.0 cr)
or PUBH 6451 - Biostatistics II (4.0 cr)
or PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis (3.0 cr)
-OR-
Pharmacogenomics (11 credits)
Coursework chosen from the following list, or other courses to meet the 11-credit focus area requirement, are selected in consultation with the advisor.
ECP 5620 - Drug Metabolism and Disposition (3.0 cr)
or ECP 8900 - Advanced Topics in Experimental and Clinical Pharmacology (1.0-4.0 cr)
or GCD 4034 - Molecular Genetics and Genomics (3.0 cr)
or GCD 4143 - Human Genetics and Genomics (3.0 cr)
or GCD 8073 - Genetics & Genomics in Human Health (2.0 cr)
or PHAR 6224 - Advanced Pharmacogenomics and Precision Medicine (2.0 cr)
or PUBH 6381 - Genetics in Public Health in the Age of Precision Medicine (2.0 cr)
or PUBH 6450 - Biostatistics I (4.0 cr)
or PUBH 6451 - Biostatistics II (4.0 cr)
or PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis (3.0 cr)
 
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ECP 5220 - Regulatory Issues in Drug Research
Credits: 2.0 [max 2.0]
Typically offered: Every Fall
Regulatory issues encountered in conducting drug research trials. Performing different aspects of clinical trials. Lectures, readings, small group discussions, homework assignments. prereq: ECP grad student or Pharm.D. professional student or instr consent
ECP 8230 - Principles of Clinical Pharmacology
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Factors determining drug exposure, drug-receptor pharmacology, drug response. Personalized medicine including drug interactions, obesity, age (geriatrics/pediatrics), critical illness, therapeutic evaluation, drug development. prereq: Grad student in Experimental and Clinical Pharmacology or instr consent
ECP 8983 - Scientific Communications in Experimental and Clinical Pharmacology
Credits: 1.0 [max 1.0]
Typically offered: Every Spring
Introduction of professional development concepts in written and oral scientific communication through lectures, literature readings, and class participation.
ECP 8982 - Inter-Institutional Journal Club in Translational Research
Credits: 1.0 [max 2.0]
Typically offered: Every Fall
This course is structured as an inter-institutional journal club between universities of Minnesota, Pittsburgh, and Kentucky that is focused on translational research in clinical pharmacology. Articles will be discussed on topics such as precision medicine, pharmacokinetics, pharmacometrics, pharmacogenomics, and clinical biomarkers.
ECP 8100 - Seminar
Credits: 1.0 [max 8.0]
Grading Basis: S-N only
Typically offered: Every Fall & Spring
Selected topics in experimental/clinical pharmacology. prereq: ECP grad student or instr consent
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
This course will cover the fundamental concepts of exploratory data analysis and statistical inference for univariate and bivariate data, including: ? study design and sampling methods, ? descriptive and graphical summaries, ? random variables and their distributions, ? interval estimation, ? hypothesis testing, ? relevant nonparametric methods, ? simple regression/correlation, and ? introduction to multiple regression. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [College-level algebra, health sciences grad student] or instr consent
STAT 5101 - Theory of Statistics I
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Logical development of probability, basic issues in statistics. Probability spaces. Random variables, their distributions and expected values. Law of large numbers, central limit theorem, generating functions, multivariate normal distribution. prereq: (MATH 2263 or MATH 2374 or MATH 2573H), (MATH 2142 or CSCI 2033 or MATH 2373 or MATH 2243)
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
This course will cover more advanced aspects of statistical analysis methods with a focus on statistical modeling, including: ? two-way ANOVA, ? multiple linear regression, ? logistic regression, ? Poisson regression, ? log binomial and ordinal regression, ? survival analysis methods, including Kaplan-Meier analysis and proportional hazards (Cox) regression, ? power and sample size, and ? survey sampling and analysis. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent
STAT 5102 - Theory of Statistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Sampling, sufficiency, estimation, test of hypotheses, size/power. Categorical data. Contingency tables. Linear models. Decision theory. prereq: [5101 or Math 5651 or instr consent]
ECP 8888 - Thesis Credit: Doctoral
Credits: 1.0 -24.0 [max 100.0]
Grading Basis: No Grade
Typically offered: Every Fall, Spring & Summer
Thesis credit: doctoral. prereq: Max 18 cr per semester or summer; 24 cr required
ECP 8500 - Advances in Pharmacometrics Modeling and Simulation
Credits: 1.0 [max 6.0]
Grading Basis: S-N only
Typically offered: Every Fall & Spring
Modeling/simulation at interface between physiological/pharmacological processes. Current literature, discussion groups. Computer applications using relevant software programs. prereq: Grad student in ECP or PHM or instr consent
ECP 8501 - Pharmacometrics
Credits: 2.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Theory/application of contemporary methods for analysis of concentration-time data and exposure-response relationships. prereq: ECP grad major or PHM grad major or instr consent
ECP 8502 - Introductory Population Pharmacokinetic Methods
Credits: 2.0 [max 2.0]
Typically offered: Periodic Fall, Spring & Summer
Theoretical background for using mixed effects model in population analysis. Building fixed/random effects into a pharmacostatistical model. Project allows students to become familiar with a contemporary population pharmacokinetic analysis program.
ECP 8503 - Intermediate Population PK/PD Methods
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
This course will present the theory and hands-on application of intermediate population methods using nonlinear mixed-effects model applied to pharmacologic systems.
ECP 8504 - Modeling Biologics
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
This course will develop computer skills to apply nonlinear regression models to describe the pharmacokinetics and pharmacodynamics of biologics. prereq: A course in basic pharmacokinetics; enrollment in the Experimental & Clinical Pharmacology or Pharmaceutics graduate program, or instructor consent
ECP 8505 - Application of physiological-based pharmacokinetic modeling(PBPK) to model-informed drug development
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
Theory/implementation of contemporary methods for analysis and simulation of PBPK to support model-informed drug development.
ECP 8506 - Clinical Trial Simulation
Credits: 2.0 [max 2.0]
Typically offered: Every Spring
Theory/application of contemporary methods of using simulations to design more efficient/informative clinical trials. prereq: ECP grad or instr consent
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
This course will cover the fundamental concepts of exploratory data analysis and statistical inference for univariate and bivariate data, including: ? study design and sampling methods, ? descriptive and graphical summaries, ? random variables and their distributions, ? interval estimation, ? hypothesis testing, ? relevant nonparametric methods, ? simple regression/correlation, and ? introduction to multiple regression. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
This course will cover more advanced aspects of statistical analysis methods with a focus on statistical modeling, including: ? two-way ANOVA, ? multiple linear regression, ? logistic regression, ? Poisson regression, ? log binomial and ordinal regression, ? survival analysis methods, including Kaplan-Meier analysis and proportional hazards (Cox) regression, ? power and sample size, and ? survey sampling and analysis. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent
PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Introduction to and methodology of randomized clinical trials. Design issues, sample size, operational details, interim monitoring, data analysis issues, overviews. prereq: 6451 or concurrent registration is required (or allowed) in 6451 or 7406 or instr consent
PUBH 7430 - Statistical Methods for Correlated Data
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Correlated data arise in many situations, particularly when observations are made over time and space or on individuals who share certain underlying characteristics. This course covers techniques for exploring and describing correlated data, along with statistical methods for estimating population parameters (mostly means) from these data. The focus will be primarily on generalized linear models (both with and without random effects) for normally and non-normally distributed data. Wherever possible, techniques will be illustrated using real-world examples. Computing will be done using R and SAS. prereq: Regression at the level of PubH 6451 or PubH 7405 or Stat 5302. Familiarity with basic matrix notation and operations (multiplication, inverse, transpose). Working knowledge of SAS or R (PubH 6420).
PUBH 7440 - Introduction to Bayesian Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Introduction to Bayesian methods. Comparison with traditional frequentist methods. Emphasizes data analysis via modern computing methods: Gibbs sampler, WinBUGS software package. prereq: [[7401 or STAT 5101 or equiv], [public health MPH or biostatistics or statistics] grad student] or instr consent
PUBH 7450 - Survival Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Statistical methodologies in analysis of survival data. Kaplan-Meier estimator, Cox's proportional hazards multiple regression model, time-dependent covariates, analysis of residuals, multiple failure outcomes. Typical biomedical applications, including clinical trials and person-years data. prereq: 7405, [STAT 5101 or STAT 8101]
STAT 5101 - Theory of Statistics I
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Logical development of probability, basic issues in statistics. Probability spaces. Random variables, their distributions and expected values. Law of large numbers, central limit theorem, generating functions, multivariate normal distribution. prereq: (MATH 2263 or MATH 2374 or MATH 2573H), (MATH 2142 or CSCI 2033 or MATH 2373 or MATH 2243)
STAT 5102 - Theory of Statistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Sampling, sufficiency, estimation, test of hypotheses, size/power. Categorical data. Contingency tables. Linear models. Decision theory. prereq: [5101 or Math 5651 or instr consent]
NSC 5461 - Cellular and Molecular Neuroscience
Credits: 3.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Lectures by team of faculty, problem sets in important physiological concepts, discussion of original research papers. prereq: NSc grad student or instr consent
NSCI 5501 - Neurodegenerative Diseases, Mechanisms to Therapies
Credits: 3.0 [max 3.0]
Course Equivalencies: Nsci 4501/Nsci 5501
Grading Basis: A-F only
Typically offered: Every Fall
With a rapid increase in population aging in western educated industrialized rich democratic (WEIRD) societies, neurodegenerative disorders such as Alzheimer?s disease have become an alarming health priority due to the current absence of disease-modifying therapies. The objective of this course is to acquire a fundamental appreciation for the most common degenerative disorders of the nervous system as well as to integrate central notions shared across these diseases and emerging concepts in the field.
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
This course will cover the fundamental concepts of exploratory data analysis and statistical inference for univariate and bivariate data, including: ? study design and sampling methods, ? descriptive and graphical summaries, ? random variables and their distributions, ? interval estimation, ? hypothesis testing, ? relevant nonparametric methods, ? simple regression/correlation, and ? introduction to multiple regression. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
This course will cover more advanced aspects of statistical analysis methods with a focus on statistical modeling, including: ? two-way ANOVA, ? multiple linear regression, ? logistic regression, ? Poisson regression, ? log binomial and ordinal regression, ? survival analysis methods, including Kaplan-Meier analysis and proportional hazards (Cox) regression, ? power and sample size, and ? survey sampling and analysis. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent
PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Introduction to and methodology of randomized clinical trials. Design issues, sample size, operational details, interim monitoring, data analysis issues, overviews. prereq: 6451 or concurrent registration is required (or allowed) in 6451 or 7406 or instr consent
CMB 8361 - Neuro-Immune Interactions
Credits: 3.0 [max 3.0]
Typically offered: Fall Odd Year
Regulatory systems (neuroendocrine, cytokine, and autonomic nervous systems) linking brain and immune systems in brain-immune axis. Functional effects of bidirectional brain-immune regulation. Offered fall of odd-numbered years. prereq: [MICB 5218 or equiv], [NSC 5561 or equiv]
NSC 8026 - Neuro-Immune Interactions
Credits: 3.0 [max 3.0]
Course Equivalencies: MVB 8361/NSc 8026/Psy 8026
Typically offered: Periodic Fall & Spring
Regulatory systems (neuroendocrine, cytokine, and autonomic nervous systems) linking brain and immune systems in brain-immune axis. Functional effects of bidirectional brain-immune regulation. Course is offered fall of even-numbered years. prereq: 5561, MicB 4131
PHCL 8026 - Neuro-Immune Interactions
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Regulatory systems (neuroendocrine, cytokine, autonomic nervous systems) linking brain/immune systems in brain-immune axis. Functional effects of bidirectional brain-immune regulation. prereq: MICA 8001 or equiv or instr consent
CMB 8481 - Advanced Neuropharmaceutics
Credits: 4.0 [max 4.0]
Course Equivalencies: CMB 8481/NSc 8481/Phm 8481
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Delivery of compounds to central nervous system (CNS) to activate proteins in specific brain regions for therapeutic benefit. Pharmaceutical/pharmacological issues specific to direct drug delivery to CNS. prereq: instr consent
NSC 8481 - Advanced Neuropharmaceutics
Credits: 4.0 [max 4.0]
Course Equivalencies: CMB 8481/NSc 8481/Phm 8481
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Delivery of compounds to central nervous system (CNS) to activate proteins in specific brain regions for therapeutic benefit. Pharmaceutical/pharmacological issues specific to direct drug delivery to CNS. prereq: instr consent
PHM 8481 - Advanced Neuropharmaceutics
Credits: 4.0 [max 4.0]
Course Equivalencies: CMB 8481/NSc 8481/Phm 8481
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Delivery of compounds to central nervous system (CNS) to activate proteins in specific brain regions for therapeutic benefit. Pharmaceutical/pharmacological issues specific to direct drug delivery to CNS. prereq: instr consent
ECP 5620 - Drug Metabolism and Disposition
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Spring Odd Year
Oxidatative/conjugative enzymes systems involved in human drug metabolism/disposition. Various in vitro models used to evaluate drug metabolism or chemical entity, pros/cons of each. Factors involved in conducting in vivo studies. Components used to predict in vivo drug disposition from in vivo studies. prereq: Grad student or instr consent
MICA 8002 - Structure, Function, and Genetics of Bacteria and Viruses
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Structure, function, and metabolism of microorganisms. Microbial genetics. Molecular virology. prereq: [One undergrad or grad course each in [microbiology, genetics, biochemistry]] or instr consent
MICA 8003 - Immunity and Immunopathology
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Lymphocyte activation, signal transduction in lymphocytes, antigen receptor genetics, antigen presentation, lymphoid anatomy, adaptive immune responses to microbes, immunodeficiency, immunopathology, cytokines, transplantation, autoimmunity. prereq: Upper level undergrad immunology course or instr consent
MICA 8010 - Microbial Pathogenesis
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Molecular mechanisms of bacterial/viral pathogenesis. Strategies of disease causation/interaction with host, regulation of virulence factors, mechanism of virulence factor transmission to other microbes. prereq: MICa grad student or instr
PHAR 6224 - Advanced Pharmacogenomics and Precision Medicine
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
This course is for individuals wanting advanced knowledge in PGx and an introduction to the broader field of precision medicine. It consists of lectures, homework assignments and class discussions designed to introduce precision medicine as it relates to the impact of genetic variation on health and the advanced practice of pharmacogenomics. Students will learn diagnostic methods to identify germline and somatic mutations, how algorithms and equations are used for predictions and the relationships between genes and environment. How these concepts apply in the clinical settings, forecast health and drug response will be presented. Emerging tools in genetics and pharmacogenomics will be presented. The course will also address clinical implementation and the ethical, legal, and social issues presented by precision medicine and PGx. Prerequisite: 3rd year PharmD student, graduate student in healthcare or related program, or equivalent experience or instructor consent
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
This course will cover the fundamental concepts of exploratory data analysis and statistical inference for univariate and bivariate data, including: ? study design and sampling methods, ? descriptive and graphical summaries, ? random variables and their distributions, ? interval estimation, ? hypothesis testing, ? relevant nonparametric methods, ? simple regression/correlation, and ? introduction to multiple regression. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
This course will cover more advanced aspects of statistical analysis methods with a focus on statistical modeling, including: ? two-way ANOVA, ? multiple linear regression, ? logistic regression, ? Poisson regression, ? log binomial and ordinal regression, ? survival analysis methods, including Kaplan-Meier analysis and proportional hazards (Cox) regression, ? power and sample size, and ? survey sampling and analysis. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent
PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Introduction to and methodology of randomized clinical trials. Design issues, sample size, operational details, interim monitoring, data analysis issues, overviews. prereq: 6451 or concurrent registration is required (or allowed) in 6451 or 7406 or instr consent
ECP 5620 - Drug Metabolism and Disposition
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Spring Odd Year
Oxidatative/conjugative enzymes systems involved in human drug metabolism/disposition. Various in vitro models used to evaluate drug metabolism or chemical entity, pros/cons of each. Factors involved in conducting in vivo studies. Components used to predict in vivo drug disposition from in vivo studies. prereq: Grad student or instr consent
ECP 8900 - Advanced Topics in Experimental and Clinical Pharmacology
Credits: 1.0 -4.0 [max 8.0]
Typically offered: Every Fall & Spring
Topic varies depending on faculty teaching course. prereq: ECP grad program or instr consent
GCD 4034 - Molecular Genetics and Genomics
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Molecular genetics and genomics of eukaryotes. Course emphasizes mechanisms of gene regulation and how these are studied. Current strategies used to study the activity and function of genes and genomes, including the role of chromatin, will be covered. Techniques will include gene knockouts/knockdown, genome engineering, genome-wide analysis of RNA and protein expression and function, as well as genome-wide protein binding and chromatin interaction mapping. Technologies covered will include next-generations and third-generation sequencing and CRISPR-based strategies for gene modification and precision gene regulation. Students will analyze and present recent primary papers in molecular genetic and genomics. Prerequisite: BIOL 4003
GCD 4143 - Human Genetics and Genomics
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Human Genetics ? the science of how our genomes function, vary, and shape our unique, individual characteristics ? is a rapidly expanding field with major implications for medical and fundamental research, clinical practice, and many other areas. In this course, students will learn about the principles of human genetics & genomics at the levels of molecules, cells, individuals, and populations. Topics include patterns of inheritance; the molecular causes and biochemical basis of genetic disorders; disease gene identification; the origin and distribution of human genetic variation; genetic influences on common, complex diseases; epigenetics and regulation of gene expression; genomic technologies for understanding human genomes; cancer genetics; behavioral genetics; human ancestry and evolution; applications such as genetic screening, genetic counseling, and gene therapy; and ethical questions raised by emerging abilities to edit the human genome, modify the human germline, and many more. prereq: BIOL 4003 or instructor consent
GCD 8073 - Genetics & Genomics in Human Health
Credits: 2.0 [max 3.0]
Typically offered: Every Spring
Application of molecular, biochemical, chromosomal, and population genetics to human variation and disease. Abnormal chromosome number and structure; abnormal enzyme, structural protein, receptor, and transport; analysis of inheritance patterns; behavioral genetics; genetic basis of common disease. Current research articles in human genetics. prereq: 8131 or BIOL 4003 or instr consent
PHAR 6224 - Advanced Pharmacogenomics and Precision Medicine
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
This course is for individuals wanting advanced knowledge in PGx and an introduction to the broader field of precision medicine. It consists of lectures, homework assignments and class discussions designed to introduce precision medicine as it relates to the impact of genetic variation on health and the advanced practice of pharmacogenomics. Students will learn diagnostic methods to identify germline and somatic mutations, how algorithms and equations are used for predictions and the relationships between genes and environment. How these concepts apply in the clinical settings, forecast health and drug response will be presented. Emerging tools in genetics and pharmacogenomics will be presented. The course will also address clinical implementation and the ethical, legal, and social issues presented by precision medicine and PGx. Prerequisite: 3rd year PharmD student, graduate student in healthcare or related program, or equivalent experience or instructor consent
PUBH 6381 - Genetics in Public Health in the Age of Precision Medicine
Credits: 2.0 [max 2.0]
Typically offered: Every Fall
Our understanding of human genomic variation and its relationship to health is expanding rapidly. This knowledge is now being translated primarily through the field of ?precision medicine? (finding the right drug for the right person at the right time). Public health, in contrast, seeks to abate the social and environmental factors that lead to disease and health disparities. This course will provide an introduction to the field of public health genomics at this interesting point in its history. Approximately one-half of the course is devoted to Genetic Epidemiology, or the science of detecting genetic risk factors for human disease. The other half of the course will cover public health genomics, including ?precision public health?, genetic screening programs, and the possibilities and pitfalls of direct to consumer marketing of genetic tests. How genomics relates to health equity will be a recurring theme of this course. This is a graduate course designed primarily for Epidemiology MPH and PhD students, and fulfills the ?Epi Of? requirement for the MPH in Epidemiology. Graduate students from other programs are very welcome.
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
This course will cover the fundamental concepts of exploratory data analysis and statistical inference for univariate and bivariate data, including: ? study design and sampling methods, ? descriptive and graphical summaries, ? random variables and their distributions, ? interval estimation, ? hypothesis testing, ? relevant nonparametric methods, ? simple regression/correlation, and ? introduction to multiple regression. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
This course will cover more advanced aspects of statistical analysis methods with a focus on statistical modeling, including: ? two-way ANOVA, ? multiple linear regression, ? logistic regression, ? Poisson regression, ? log binomial and ordinal regression, ? survival analysis methods, including Kaplan-Meier analysis and proportional hazards (Cox) regression, ? power and sample size, and ? survey sampling and analysis. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent
PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Introduction to and methodology of randomized clinical trials. Design issues, sample size, operational details, interim monitoring, data analysis issues, overviews. prereq: 6451 or concurrent registration is required (or allowed) in 6451 or 7406 or instr consent