Fall 22 Basic & Biomedical Sciences Courses BIOCHEMISTRY: http

Fall 22 Basic & Biomedical Sciences Courses

BIOCHEMISTRY:

http://www.biochem.duke.edu/

First Half Semester:

BIOCHEM 658 (SBB 658) Structural Biochemistry I – [Structure of Macromolecules] Principles of modern structural

biology. Protein-nucleic acid recognition, enzymatic reactions, viruses, immunoglobulins, signal transduction, and

structure-based drug design described in terms of the atomic properties of biological macromolecules. Discussion of

methods of structure determination with particular emphasis on macromolecular X-ray crystallography NMR methods,

homology modeling, and bioinformatics. Students use molecular graphics tutorials and Internet databases to view and

analyze structures. Prerequisites: organic chemistry and introductory biochemistry. Minicourse, 1

half-semester. MWF

3:30-4:20 pm; Beese; ONLINE; 2 Units

Second Half Semester:

BIOCHEM 631 (CMB, NEUROBIO, PHARM) Contemporary Topics in Membrane Biology – This course will highlight

modern topics regarding biological membranes and membrane proteins that are important for human physiology and

disease. Topics include structure and dynamics of biological membranes, structure and function of membrane proteins

that play critical roles in cell signaling, diseases related to dysfunction of membrane and membrane proteins, and

current efforts on drug discovery. Major techniques used in membrane research will also be covered. The format will be

a combination of lectures and discussion of primary literature. Students will be evaluated based on their class

participation and performance at the final presentations. Reserved for graduate students; open to undergraduate

students by instructor permission. Minicourse, 2

half-semester. MWF 1:45-3:00 pm; Lee; ONLINE; 2 Units

BIOCHEM 659 (CELLBIO, IMMUNOL, SBB, UPGEN 659) Structural Biochemistry II – [Molecular Biology I] Continuation of

BIOCHEM 658. Structure/function analysis of proteins as enzymes, kinetics of binding, catalysis and allostery, protein

folding, stability and design protein-protein interactions. Prerequisite: Biochemistry 658, organic chemistry, physical

chemistry, and introductory biochemistry. This is an introductory course to learn how to use quantitative methods to

understand biological structure and function. Minicourse, 2

half-semester. MWF 3:30-4:20 pm; Zhou; ONLINE; 2 Units

BIOCHEM 681 (SBB 681) Biophysical Methods – This course provides an overview of nine prominent methods used in

biochemistry, cell biology and structural biology. They are: optical spectroscopy, fluorescence, light microscopy, ligand

binding, kinetics, mass spectrometry, magnetic resonance, electrophysiology and cryoelectron microscopy. The goal is to

provide students with sufficient background knowledge to allow them to read and understand papers in the primary

literature that employ one or more of these methods. Each method is taught by an instructor who employs the method

in their own research. Grade is based on problem sets, quizzes and a final presentation to the class of a paper that uses a

method of the student’s choice. TuTh, 10:15-11:30 am; Oas; HYBRID/147 Nanaline Duke Bldg; 3 Units

BIOLOGY

https://biology.duke.edu/courses/2020-fall

BIOSTATISTICS:

http://biostat.duke.edu

BIOSTAT 701. Introduction to Statistical Theory and Methods I. This course provides a formal introduction to the basic

theory and methods of probability and statistics. It covers topics in probability theory with an emphasis on those needed

in statistics, including probability and sample spaces, independence, conditional probability, random variables,

parametric families of distributions, and sampling distributions. Core concepts are mastered through mathematical

exploration and linkage with the applied concepts studied in BIOSTAT 704. Prerequisite(s): 2 semesters of calculus or its

equivalent (multivariate calculus preferred). Familiarity with linear algebras is helpful. Corequisite(s): BIOSTAT 702,

BIOSTAT 703. Instructor: Janice McCarthy. Meets: MW 10:05am-11:20am, Hock 10089. Credits: 3.

BIOSTAT 702. Applied Biostatistical Methods I. This course provides an introduction to study design, descriptive

Fall 22 Basic & Biomedical Sciences Courses

statistics, and analysis of statistical models with one or two predictor variables. Topics include principles of study design,

basic study designs, descriptive statistics, sampling, contingency tables, one- and two-way analysis of variance, simple

linear regression, and analysis of covariance. Both parametric and non-parametric techniques are explored. Core

concepts are mastered through team-based case studies and analysis of authentic research problems encountered by

program faculty and demonstrated in practicum experiences in concert with BIOSTAT 703. Computational exercises will

use the R and SAS packages. Prerequisite(s): 2 semesters of calculus or its equivalent (multivariate calculus preferred).

Familiarity with linear algebras is helpful. Corequisites(s): BIOSTAT 701, BIOSTAT 703, BIOSTAT 721. Instructor: Tina

Davenport. Meets: MW 8:30am-9:45am, Hock 10089. Credits: 3.

BIOSTAT 703. Introduction to the Practice of Biostatistics I. This course provides an introduction to biology at a level

suitable for practicing biostatisticians and directed practice in techniques of statistical collaboration and communication.

With an emphasis on the connection between biomedical content and statistical approach, this course helps unify the

statistical concepts and applications learned in BIOSTAT 701 and BIOSTAT 702. In addition to didactic sessions on

biomedical issues, students are introduced to different areas of biostatistical practice at Duke University Medical Center.

Biomedical topics are organized around the fundamental mechanisms of disease from both evolutionary and

mechanistic perspectives, illustrated using examples from infectious disease, cancer and chronic/degenerative disease.

In addition, students learn how to read and interpret research and clinical trial papers. Core concepts and skills are

mastered through individual reading and class discussion of selected biomedical papers, team-based case studies and

practical sessions introducing the art of collaborative statistics. Corequisite(s): BIOSTAT 701, BIOSTAT 702. Instructors:

Jesse Troy and Josh Granek. Meets: TTh 10:05am-11:20am, Hock 10089. Credits: 3.

BIOSTAT 703L. Introduction to the Practice of Biostatistics I Lab. The lab is an extension of the course. The lab is run like

a journal club. The lab instructs students how to dissect a research article from a statistical and scientific perspective.

The lab provides students the opportunity to present on material covered in the co-requisite course and to practice the

communication skills that are a core tenant of the program. Corequisite(s): BIOSTAT 703 or permission of the director of

graduate studies. Instructors: Jesse Troy and Josh Granek. Meets: Section 1- T 11:45am-1:00pm, Hock 11025. Section 2- F

10:05am-11:20am, Hock 11025. Credit: 0.

BIOSTAT 707. Statistical Methods for Learning and Discovery. This course surveys a number of techniques for high

dimensional data analysis useful for data mining, machine learning and genomic applications, among others. Topics

include principal and independent component analysis, multidimensional scaling, tree-based classifiers, clustering

techniques, support vector machines and networks, and techniques for model validation. Core concepts are mastered

through the analysis and interpretation of several actual high dimensional genomics datasets. Prerequisite(s): BIOSTAT

701, 702, 704, 705, and 721 or 722/821 or their equivalents, or permission of the director of graduate studies.

Instructor: Jessilyn Dunn. Meets: TTh 8:30am-9:45am, Hock 10089. Credits: 3.

BIOSTAT 710. Statistical Genetics and Genetic Epidemiology. Topics from current and classical methods for assessing

familiality and heritability, linkage analysis of Mendelian and complex traits, family-based and population-based

association studies, genetic heterogeneity, epistasis, and gene-environmental interactions. Computational methods and

applications in current research areas. The course will include a simple overview of genetic data, terminology, and

essential population genetic results. Topics will include sampling designs in human genetics, gene frequency estimation,

segregation analysis, linkage analysis, tests of association, and detection of errors in genetic data. Prerequisite(s):

BIOSTAT 701, 702, 704, 705, and 721 or 722/821 or their equivalents, or permission of the director of graduate studies.

Instructor: Andrew Allen. Meets: MW 11:45am-1:00pm, Hock 10089. Credits: 3.

BIOSTAT 713. Survival Analysis. Introduction to concepts and techniques used in the analysis of time to event data,

including censoring, hazard rates, estimation of survival curves, regression techniques, applications to clinical trials.

Fall 22 Basic & Biomedical Sciences Courses

Interval censoring, informative censoring, competing risks, multiple events and multiple endpoints, time dependent

covariates; nonparametric and semi- parametric methods. Prerequisite(s): BIOSTAT 701, 702, 704, 705, and 721 or

722/821 or their equivalents, or permission of the director of graduate studies. Instructor: Yuan Wu. Meets: MW

3:05pm-4:20pm, Hock 10089. Credits: 3.

BIOSTAT 719. Generalized Linear Models. The class introduces the concept of exponential family of distributions and

link function, and their use in generalizing the standard linear regression to accommodate various outcome types.

Theoretical framework will be presented but detailed practical analyses will be performed as well, including logistic

regression and Poisson regression with extensions. Majority of the course will deal with the independent observations

framework. However, there will be substantial discussion of longitudinal/clustered data where correlations within

clusters are expected. To deal with such data the Generalized Estimating Equations and the Generalized Linear Mixed

models will be introduced. An introduction to a Bayesian analysis approach will be presented, time permitting.

Prerequisite(s): BIOSTAT 701, 702, 704, 705, and 721 or 722/821 or their equivalents, or permission of the director of

graduate studies. Instructor: Hwanhee Hong. Meets: TTh 11:45am-1:00pm, Hock 10089. Credits: 3.

BIOSTAT 721. Introduction to Statistical Programming I (R). This class is an introduction to programming in R, targeted

at statistics majors with minimal programming knowledge, which will give them the skills to grasp how statistical

software works, tweak it to suit their needs, recombine existing pieces of code, and when needed create their own

programs. Students will learn the core of ideas of programming (functions, objects, data structures, input and output,

debugging, and logical design) through writing code to assist in numerical and graphical statistical analyses. Students will

learn how to write maintainable code, and to test code for correctness. They will then learn how to set up stochastic

simulations and how to work with and filter large data sets. Since code is also an important form of communication

among scientists, students will learn how to comment and organize code to achieve reproducibility. Programming

techniques and their application will be closely connected with the methods and examples presented in the co-requisite

course. The primary programming package used in this course will be R. Prerequisite(s): None; familiarity with linear

algebras is helpful. Corequisite(s): BIOSTAT 702. Instructor: Brooke Alhanti. Meets: TTh 8:30am-9:45am, Hock 214.

Credits: 3.

BIOSTAT 801. Biostatistics Career Preparation and Development I. The purpose of this course is to give the student a

holistic view of career choices and development and the tools they will need to succeed as professionals in the world of

work. The fall semester will focus on resume development, creating a professional presence, networking techniques,

what American employers expect in the workplace, creating and maintaining a professional digital presence and learning

how to conduct and succeed at informational interviews. Practicums in this semester include an informational

interviewing and networking practicum with invited guests. Students participate in a professional “etiquette dinner” and

a “dress for success” module as well an employer panel. Corequisite(s): BIOSTAT 701 through BIOSTAT 703. Instructor:

Ellen Baker. Meets: W 1:25pm-2:40pm, Hock 10089. Credit: 1.

BIOSTAT 802. Biostatistics Career Preparation and Development II. The purpose of this course is to further develop the

student’s job seeking ability and the practical aspects of job/internship search or interviewing for a PhD program. The

goal is to learn these skills once and use them for a lifetime. Modules that will be covered include: Communication skills

both written and oral, interviewing with videotaped practice and review, negotiating techniques, potential career

choices in the Biostatistics marketplace, and working on a team. This semester includes writing and interviewing

practicum, and a panel of relevant industry speakers. Students will leave this course with the knowledge to manage their

careers now and in the future. Prerequisite: BIOSTAT 801. Instructor: Ellen Baker. Meets: Th 1:25pm-2:40pm, Hock

10089. Credit: 1.

BIOSTAT 823. Statistical Program for Big Data. This course describes the challenges faced by analysts with the

Fall 22 Basic & Biomedical Sciences Courses

increasing importance of large data sets, and the strategies that have been developed in response to these challenges.

The core topics are how to manage data and how to make computation scalable. The data management module covers

guidelines for working with open data, and the concepts and practical skills for working with in-memory, relational and

NoSQL databases. The scalable computing module focuses on asynchronous, concurrent, parallel and distributed

computing, as well as the construction of effective workflows following DevOps practices. Applications to the analysis of

structured, semi-structured and unstructured data, especially from biomedical contexts, will be interleaved into the

course. The course examples are primarily in Python and fluency in Python is assumed. Prerequisite(s): BIOSTAT 821 or

permission of the Director of Graduate Studies. Instructor: Cliburn Chan. Meets: MW 4:40pm-5:55pm, Hock 10089.

Credits: 3.

BIOSTAT 900: Current Problems in Biostatistics. Advanced seminar on topics at the research frontiers in biostatistics.

Readings of current biostatistical research and presentations by faculty and advanced students of current research in

their area of specialization. Instructor: Sean O’Brien. Credit: 1.

BIOSTAT 906. Statistical Inference. Introduce decision theory and optimality criteria, sufficiency, methods for point

estimation, confidence interval and hypothesis testing methods and theory. Prerequisite: Biostatistics 704 or equivalent.

Instructor consent required. Prerequisite: Permission of the Director of Graduate Studies. Instructor: Jichun Xie. Meets:

MW 10:05am-11:20am, Hock 11025. Credits: 3.

BIOSTAT 907: Phase II Clinical Trials. Introduction to diverse statistical design and analytical methods for randomized

phase II clinical trials. Topics: Minimax, optimal, and admissible clinical trials Inference methods for phase II clinical trials;

clinical trials with a survival endpoint; clinical trials with heterogeneous patient populations; and randomized phase II

clinical trials. Instructor consent required. Instructor: Sin-Ho Jung. Meets: TTh 11:45am-1:00pm, Hock 11110. Credits: 3.

BIOSTAT 908: Independent Study (Research Rotations). Faculty directed statistical methodology research. Instructor

consent required. Instructor: Sean O’Brien. Credit: 1.

BIOSTAT 911. Modern Inferential Techniques and Theory. The theory for M- and Z- estimators and applications.

Semiparametric models, geometry of efficient score functions and efficient influence functions, construction of

semiparametric efficient estimators. Introduction to the bootstrap: consistency, inconsistency and remedy, correction

for bias, and double bootstrap. U statistics and rank and permutation tests. Prerequisite: STA 711 and BIOSTAT 906 or

Permission of the Director of Graduate Studies. Instructor: Zhiguo Li. Meets: TTh 10:05am-11:20am, Hock 11025. Credits:

BIOTRAIN:

BIOTRAIN 701: Foundations in Professionalism for Biomedical Scientists. This course equips 1st year School of

Medicine (SoM) biomedical PhD students with professionalism skills, including but not limited to stress management,

effective communication, and mentor-mentee relationships. The course is team-taught by National Research Mentoring

Curriculum-trained faculty members and Leadership and Management in Action Program-trained PhD students from

diverse SoM PhD programs. Content includes interactive lectures that provide fundamental knowledge of key

professional skills, and small group active learning sessions (“Gateway Groups”) during which students discuss and

practice professionalism skills and receive feedback from faculty mentors, peer mentors, and peers. Instructors: Sullivan,

Kostrewa. TH 8:30AM-9:30AM.

BIOTRAIN 720: Grant Writing for Biomedical Scientists. Introduction to scientific grant writing for second- (or third-)

year PhD students. This course contains lecture-based and active learning sessions. Content includes lectures combined

Fall 22 Basic & Biomedical Sciences Courses

with class discussions on grant agencies, format and structure of grant applications, concepts in peer review, best

practices in articulating study design and data outcomes, rigor and reproducibility in a research plan, and crafting

biological significance and training statements. Students write an NIH-style proposal and actively participate in topical

study sections to receive oral and written critiques of their proposals and to provide constructive feedback of others'

proposals. Open only to second- or third-year students in biomedical PhD programs. Instructor: Sullivan and staff. MWF

8:45AM - 9:45AM.

CELL AND MOLECULAR BIOLOGY:

http://medschool.duke.edu/cmb

CMB 710 A-F - Cell & Molecular Biology Modules

Modules in the CMB 710 series (A – F) are required for all CMB students. Modules are offered sequentially during the

Fall semester. These are the core offerings of the Cell & Molecular Biology Program. Topics reflect the expertise of the

corresponding faculty and emphasize either in-depth critical discussion of the primary literature or

quantitative/mathematical approaches to addressing biological questions. Each module lasts for 2 weeks, with 3

meetings per week. Students entering through CMB are required to take 6 modules in fall semester of their first year

with a minimum of 4 modules in the CMB 710 series. The other two may be from the UPGEN 778 series. A total of 12

modules are required for CMB, with a total of 8 from CMB710. To help you prepare for each module, the instructors

have included a summary with any required reading that should be completed prior to the start of each module, and

prerequisites.

Note: The Drop/Add deadline for Fall 2022, applies to all modules. CHECK for any prerequisites. MWF 10:20 – 11:40 am;

Di Talia (Course Director); 1 Unit each

CMB 733.01 (NEUROBIO, PHARM) – Experimental Design and Biostatistics for Basic Biomedical Scientists – See PHARM

333.01

CMB 733.02 (NEUROBIO, PHARM) – Experimental Design and Biostatistics for Basic Biomedical Scientists – See PHARM

333.02

CMB 733.03 (NEUROBIO, PHARM) – Experimental Design and Biostatistics for Basic Biomedical Scientists Statistics –

See PHARM 333.03

CMB 764 Cell and Molecular Biology Colloquium – [Student Seminar] required of all CMB students. Each Monday at

noon, presentations by upper-year students: one student talks about ongoing dissertation research and another

introduces a research paper relevant to that week's seminar. Students attend the Thursday seminar and can have lunch

with the speaker. Credit is based on attendance. M 11:45-1:00 pm; Boyce; 2 Units

CMB 797 Modern Techniques in Molecular Biology - This course introduces the fundamental laboratory techniques used

in basic research. It is divided into two sections. One section covers techniques used for protein purification, analysis, and

the study of protein-protein interactions. The second covers nucleic acid based techniques, including a review of basic

nucleic acid chemistry, enzymatic modification, qualitative and quantitative PCR, nucleic acid sequencing, cloning

strategies, vectors, and measurement of transcript expression including microarray techniques. This course is built

around a team-based learning model. Course reading material and recorded lectures are provided to students to review

before class and class time is spent reinforcing the material through problem sets and group discussion. 8:45-9:45 am;

Madan Kwatra; 3 Units

CELL BIOLOGY:

http://www.cellbio.duke.edu

CHEMISTRY: For a complete listing, please go to: http://www.chem.duke.edu/graduates/courses.php

COMPUTATIONAL BIOLOGY & BIOINFORMATICS:

Fall 22 Basic & Biomedical Sciences Courses

http://genome.duke.edu/education/CBB

CBB 510S Computational Biology & Bioinformatics Seminar- Lectures, and seminars on selected topics of current

interest in computational biology & bioinformatics. Required of all 1st and 2nd year CBB students. Mon 12p-1p;

Schmidler; Online; 1 Unit

CBB 520 Genome Tools and Technologies - The course introduces the laboratory and computational methodologies for

genetic and protein sequencing, mapping and expression measurement. Prerequisites: Students are expected to have

some background course work in genetics, molecular biology, biochemistry, and a modern programming language. TuTh

10:30-11:45 am; Dietrich; 3 Units

CBB 574 Modeling and Engineering Gene Circuits - This course discusses modeling and engineering gene circuits, such

as prokaryotic gene expression, cell signaling dynamics, cell-cell communication, pattern formation, stochastic dynamics

in cellular networks and its control by feedback or feedforward regulation, and cellular information processing. The

theme is the application of modeling to explore "design principles" of cellular networks, and strategies to engineer such

networks. Students need to define an appropriate modeling project. At the end of the course, they're required to write

up their results and interpretation in a research-paper style report and give an oral presentation. Prerequisites:

Biomedical Engineering 260L or consent of instructor. MW 1:45p-3:00p; Instructor You; 3 units.

New Course- CBB 914-Graphical Models for Biological Data Introduction to probabilistic graphical models and

structured prediction, with applications in genetics and genomics. Hidden Markov Models, transducers, conditional

random fields, stochastic context-free grammars, Bayesian hierarchical models, and approaches to integrative modeling.

Algorithms for exact and approximate inference. Applications in DNA/RNA analysis, phylogenetics, sequence alignment,

allelic phasing and imputation, genome/epigenome annotation, and gene regulation. Prerequisite: probability and

statistics (BIOSTAT 701 or STA 611 or equivalent), and some programming experience with python, R, or similar

language. Instructor: Majoros TuTh 11:45a-1:00p

CBB 658 Biochem 658 Structural Biochemistry I-See BIOCHEM 658

CBB 659 Biochem 659 Structural Biochemistry II –See BIOCHEM 659

COGNITIVE NEUROSCIENCE:

751. Neuroscience Bootcamp. Neuroscience Bootcamp is a one week immersive lecture, discussion and laboratory

course for graduate students in the Neurobiology Graduate Program and the Cognitive Neuroscience Admitting

Program, and graduate students in allied programs at the discretion of the instructors. The Duke Neuroscience

Bootcamp is designed to (1) provide a common knowledge base of neuroscience fundamentals; (2) demystify the tools

of the discipline—providing hands-on experience with techniques that are commonly used to explore cellular/molecular,

circuits and cognitive neuroscience; and (3) introduce new students to a wide variety of Duke faculty and helpful

resources for ensuring a successful graduate career. Instructor: Glickfeld, Grandl, Egner. 2 units. C-L: Neurobiology 751;

Online Only

DEVELOPMENTAL & STEM CELL BIOLOGY:

https://sites.duke.edu/dscb/

DSCB 700 Classic Papers in Development - The goal of this Fall seminar course is to deepen understanding of the class

findings and advances in the field of Development, Stem Cell, and Regenerative Biology and to provide a historical view

of how these findings affect our approaches in the field today. The course will consist of both first and second year

DSCB students and 20 faculty members who will select papers and facilitate group discussions. MWF - 12-1:30 pm;

Lechler; 1 Unit

DSCB 730 Hands on Development Mini Course - This class is required for first year DSCB students only, will expose

students to basic principles and techniques in development and stem cell biology. This year the class will be held

Fall 22 Basic & Biomedical Sciences Courses

virtually and students will meet with individual faculty to learn about different model systems. MWF (8/17 - 8/28

afternoon only); Lechler, 1 Unit

IMMUNOLOGY:

https://immunology.duke.edu/

IMMUNOL 544 Principles of Immunology - This is a graduate level course that is open to both graduate students and

advanced undergraduates. It is an introduction to the molecular and cellular basis of the immune response. Topics

include anatomy of the lymphoid system, lymphocyte biology, antigen-antibody interactions, humoral and cellular

effector mechanisms, and control of immune responses. The last third of the course focuses on special topics and

application such as transplantation, autoimmunity, immunodeficiency, and tumor immunity. On selected days, the class

is broken down into small discussion groups of approximately 15 students to discuss material introduced in the lectures

or to work on problem sets. Graduate students in the Department of Immunology lead these sections. MWF 1:45-2:35

pm; Miao; 3 Units.

IMMUNOL 601 Immunology of Human Disease - This advanced course will cover the immune aspect of various human

diseases including autoimmune diseases, allergy, tumor, inflammation and infectious diseases. Required course for all

students specializing in immunology. Prior course requirement: IMM544. Tues 10:15-11:30 am; He; 1 Unit.

IMMUNOL 701D Pillars of Immunology – This course will cover discoveries of historical importance in the field of

immunology through student presentations and discussions of classical papers. Intended for students seeking a PhD in

Immunology. F 10:15-11:30 am; Tedder & Krangel; 1 Unit.

IMMUNOL 731S Immunology Seminar--Work in progress seminar in which students and postdoctoral trainees give 30

min to 1 hour presentations of their research. Considered a showcase of current research in the Department of

Immunology. All students enrolled in IMM programs are required to give a presentation once per year. Informal

questions and discussion are encouraged throughout presentation. First and second year Immunology graduate students

should register for Immunology 731S which is graded credit. Third through sixth year Immunology students, along with

non-Immunology majors should register for Immunology 732S which is non- graded credit. Attendance is essential for

both spring and fall terms. M 4:20-5:10 pm; Shinohara; 1 Unit.

IMMUNOL 732S Immunology Seminar--Work in progress seminar in which students and postdoctoral trainees give

30min to 1 hour presentations of their research. Considered a showcase of current research in the Department of

Immunology. All students enrolled in IMM programs are required to give a presentation once per year. Informal

questions and discussion are encouraged throughout presentation. First and second year Immunology graduate students

should register for Immunology 731S for graded credit. Third through sixth year Immunology students, along with non-

Immunology majors should register for Immunology 732S which is non-graded credit. Attendance is essential for both

spring and fall terms. M 4:20-5:10 pm; Shinohara; 1 Unit.

IMMUNOL 735 Topics in Immunology - Focus on current immunology research, emphasizing emerging research areas

and new directions in established areas. Students present recent papers in selected subjects. Required course for all

students specializing in immunology. Th 8:45-10 am; Ciofani; Credit/no credit grading only; 1 Unit.

IMMUNOL 791A Research in Immunology – This course is the first of two for first year students enrolled in the

Immunology Graduate Program designed to introduce bench work in immunology and to expose students to a variety of

techniques to increase their proficiency. One to two research rotations will be conducted in training faculty laboratories

for periods of 6 weeks. Rotations should be approved by the DGS. The second course is IMMUNOL791B offered in the

spring. Both courses must be taken in order for the four total credits and grades to post. 2 Units

Second Half Semester:

IMMUNOL 659 / BIOCHEM 659 Structural Biochemistry II - See BIOCHEM 659

Fall 22 Basic & Biomedical Sciences Courses

INTEGRATED TOXICOLOGY AND ENVIRONMENTAL HEALTH (CERTIFICATE):

http://sites.nicholas.duke.edu/envhealth/

ENVIRON 501 Environmental Toxicology – (required) Study of environmental contaminants from a broad perspective

encompassing biochemical, ecological, and toxicological principles and methodologies. Discussion of sources,

environmental transport and transformation phenomena, accumulation in biota and ecosystems. Impacts at various

levels of organization, particularly biochemical and physiological effects. Prerequisites: organic chemistry and vertebrate

physiology or consent of instructor.

TuTh 10:15-11:30 am GH 1105; 3 units; Instructors: Jayasundara, Meyer

ENVIRON 540 Chemical Fate of Organic Compounds – This course will review the basics of environmental organic

chemistry with a focus on contaminant chemistry. During this course we will discuss quantitative processes used in

predicting the fate and distribution of organic chemicals in the environment with regards to

equilibrium/thermodynamics and some kinetic considerations. Topics will include equilibrium partitioning among air,

water, sediments and biological tissues, including bioaccumulation and biomagnification. The processes influencing the

transport and ultimate fate of organic contaminants in rivers and lakes will be discussed in addition to processes

influencing global transport. Prerequisites: university-level general chemistry and organic chemistry within last four

years.

Lectures ASYNCHRONOUS ONLINE; Discussions M 3:30-4:45 pm or W 3:30-4:45 pm GH 1105 or ONLINE; 3 units;

Instructor: Stapleton

ENVIRON 847S Seminar in Toxicology – (required) Cross-listed with PHARM 847S-01. A weekly research seminar

throughout the year is required of participants in the Toxicology Program, but open to students in related fields as

well. Students, faculty and invited national speakers present their latest research findings concerning neurotoxicology,

molecular biology, teratology, environmental toxicology, public policy of environmental regulation and related fields.

F 12:00-1:15 pm GH 1112 or ONLINE; 1 Unit; Instructor: Meyer.

PHARM 533 Essentials of Pharmacology and Toxicology - (required) See PHARM 533

PHARM 733 Experimental Design and Biostatistics for Basic Biomedical Scientists - (required) See PHARM 733

MEDICAL PHYSICS

http://medicalphysics.duke.edu

MEDPHY 500 Radiation Physics - A course covering the basics of ionizing and non-ionizing radiation, atomic and nuclear

structure, basic nuclear and atomic physics, radioactive decay, interaction of radiation with matter, and radiation

detection and dosimetry. MW 10:15 am -11:30 am; Turkington; 1032 Hock Plaza; 3 Units.

MEDPHY 505 Anatomy and Physiology for Medical Physicists - A course focused on medical terminology, biochemistry

pertaining to MP, basic Anatomy and physiology, elementary tumor and cancer biology, and overview of disease in

general. Upon completion, the student should: (a) understand anatomic structures, their relationships, their cross-

sectional and planar projections, and how they are modified by attenuation and artifacts in the final images; (b)

understand the physiology underlying radionuclide images, (c) understand how (a) – (b) are modified by disease, (d)

identify anatomical entities in medical images (different modalities), and (e).identify basic disease features in medical

images (e.g., Pneumothorax in chest radiographs, microcalcoifications in mammograms). MW 8:30 am – 9:45 am;

Reiman; 1032 Hock Plaza; 3 units

MEDPHY 530 Modern Medical Diagnostic Imaging System - A course describing basics of imaging science, x-ray imaging

modalities including basic principles, detectors, scattered radiation, planar imaging, CT, fluoroscopic imaging, nuclear

medicine imaging, US and MRI, and computers in imaging.TUTH 10:15 am - 11:30 pm; Solomon; 1032 Hock Plaza; 3

Units.

Fall 22 Basic & Biomedical Sciences Courses

MEDPHY 722 Advanced Photon Beam Radiation Therapy. This course will cover the physics and clinical application of

advanced external beam photon therapies with special emphasis on IMRT. Prerequisite: MP 220. TUTH 8:30 am - 9:45

am, Q. Wu.; 1032 Hock Plaza, 3 Units

MEDPHY 725 Physics and Clinical Applications of Brachytherapy. The course is designed to combine traditional lectures

and clinical physics practicum on the topic of LDR (low dose rate) and HDR (high dose rate) brachytherapy. Prerequisite:

Medical Physics 520. MTH 3:30 pm - 4:30 pm; Craciunescu, Meltsner; clinics, 2 Units.

MEDPHY 726 Practicum on Monte Carlo method in Medical Physics - This course focuses on the fundamentals of

Monte-Carlo simulations and provides hands-on experience with clinical Monte-Carlo codes used in medical dosimetry.

The course will introduce software such as MCNP, EGS, FLUKA, GEANT and Penelope and companion data analysis

software ROOT, PAW and CERNLIB. Students will study at least one major code and will perform two or more projects

based on a clinically relevant task. Prerequisites: Calculus, modern physics, and programming. Knowledge of C, C++, or

Fortran would be a plus. TU 1:45 pm –4:45 pm, Gunasingha, 1032 Hock Plaza, 1-3 Units.

728. Clinical Practicum and Shadowing (RT). The course gives hands on experience in practical aspects of medical

physics as applied to radiation therapy. Special emphasis is given to the operation of various therapy units and dose

measuring devices, techniques of measuring the characteristics of radiation beams, commissioning and quality

assurance checks for radiation producing devices in the clinic. The course includes shadowing a clinician, technologist, or

physicist, while performing their routine clinical tasks. TH 5:15 pm - 8:15 pm, Z. Wang, clinics, 3 Units.

MEDPHY 751-1 Medical Physics Basic Research Topics - This seminar provides an overview of research projects

conducted by medical physics faculty through a series of invited talks. The aim of the seminar is to help first year

students identify their research interests and career/training orientation. TU 12:00 pm –1:15 pm; Darnell; 1032 Hock

Plaza, 1 Unit.

MEDPHY 751-3 Professional Development Skills for Medical Physicists - This seminar provides important skills for

students’ professional development through a series of presentations on relevant topics that include public speaking,

effective scientific and professional communication, interviewing skills, entrepreneurship, etc. Designed for second year

Medical Physics students. TH 12:00 pm – 1:15 pm; Wilson; 1032 Hock Plaza, 1 Unit.

MEDPHY 734 Advanced Topics of Non-ionizing-based Imaging Modalities. This course covers advanced topics in

non-ionizing Imaging modalities such as Ultrasound and MR imaging, including speckle statistics, Doppler imaging,

advanced MR pulse sequences, MR angiography, flow and diffusion etc. Instruction will consist of didactic lectures

accompanied by hands-on laboratory exercises (practicum). TUTH 1:45 pm – 3:00 pm; Robertson; 1032 Hock Plaza, 3

Units

MEDPHY 763 Advanced Radiation Biology in Medical Physics. This course will teach students about cutting-edge topics

in the field of radiobiology that have relevance to medical physicists. The teaching will be through the format of a

Journal Club. Journal Club Format. We will provide an outline for how to perform a manuscript review, prior to any

student presentations. At the beginning of the semester, groups of students will select papers that they wish to present

to the class. Each student assigned to a particular paper will prepare a written review and discuss their assessments

with the class during one of the scheduled class dates. Class and group participation is required. Detailed report on

selected subject. Students will select a topic from either the reviewed manuscripts or an approved subject of their own

choosing (must contain both biology and physics components). The student will write a detailed report on this subject.

We will provide a format for the report. Grading will be based upon quality of manuscript review presentations and the

detailed final written report. MW 12:00 pm – 1:00 pm; Dewhirst, Palmer; 1032 Hock Plaza, 3 Units

MOLECULAR CANCER BIOLOGY

https://pharmacology.duke.edu/training/graduate/molecular-cancer-bio

Fall 22 Basic & Biomedical Sciences Courses

MOLCAN 780 (PHARM 780) Advances in Cancer Research - [Student Seminar] A presentation and discussion course in

which program faculty and graduate students review the recent progress in areas of cancer research being investigated

at Duke University. Provides an important avenue for evaluation and feedback for graduate student research and is

required each year for all students pursuing their Ph.D. degree in molecular cancer biology. Th 3:30-4:40pm;

Cartoni/Zhao; LSRC C144, 2 Units

MOLCAN 818 (PHARM 818) Molecular Mechanisms of Oncogenesis - This course is a lecture presentation and

discussion course on the molecular mechanisms underlying cancer development in which students complete periodic

tests, present a paper, and work in a group to write and defend a grant proposal. The objective of the course is to

provide an opportunity for in-depth discussions of molecular mechanisms underlying the development of human

cancers. The course is intended for second-year students who have already taken the course of Cell Signaling. TuTh

10:15-11:30 am; Wood/Yao; LSRC C335, 3 Units

MOLECULAR GENETICS & MICROBIOLOGY

http://mgm.duke.edu

MGM 701 Foundations of MGM – This core course is open to MGM first year students with exposure to research

interests in the department. MGM faculty will provide an overview of their research along with important historical

context. Credit grading only. Tu (every other Tuesday) 4:00-5:30pm; Heaton; TBD; 1 unit

MGM 720 Computational Tools in Next Generation Genomic Analysis – This course is an intensive, one semester

course in computer skills necessary to carry out analysis of next generation genomic data. The philosophy for this course

is that we are training PhD students, and they should have a fairly in-depth understanding of how this analysis is carried

out. This course offers that understanding. The course will involve only a small amount of lecture, and be primarily a

hands-on laboratory with extensive discussion. Permission number from Instructor required for registration. Class size is

limited to 6 students. TuTh 1:25-2:40pm and lab of 3:05-4:20pm; Dietrich; 415 Jones, 3 units

MGM 778 (CMB, UPGEN 778) - Genetic Approaches to the Solution of Biological Problems – See UPGEN 778

MGM 790S - Topics in Molecular Genetics and Microbiology - Required course for all graduate students receiving

their degree through MGM through third year of PhD program. Instructor: Tobin and staff. 1 unit. F (every other Friday)

4:00pm-5:30pm

MGM 793 Research for Graduate Students - Laboratory investigation for Graduate students. Various labs within the

department of molecular genetics and microbiology. Credits to be arranged. Instructor consent is required.

Instructor: Tobin. 2 units.

NEUROBIOLOGY

http://www.neuro.duke.edu

NEUROBIO 719-01 Concepts in Neuroscience I: Cellular and Molecular Neurobiology - The goal of this course is for

students to gain in depth knowledge of cellular and molecular neurobiology and to learn to critically evaluate the

associated primary scientific literature. This is a required core course for Neurobiology program graduate students. The

course is also frequently taken by other graduate students with research interests in neuroscience including (but not

limited to) those in Cognitive Neuroscience, Cell Biology, Developmental Biology, Pharmacology, Genetics, Biology,

Psychology, and Biomedical Engineering.

Sep 6 – Dec 8; MWF 10:15am - 11:30am; Grandl/West; Bryan Research, room 301; 5 Units.

Fall 22 Basic & Biomedical Sciences Courses

NEUROBIO 726S.001 Neurobiology Journal Club (Seminar): First and second year Neurobiology graduate students

attend the weekly Neurobiology Invited Seminar Series. Once a month, students will meet to hold a student-run journal

club to discuss the work of a speaker from an outside institution.

Weekly Tu 12:00 pm – 1:15 pm; Monthly Fri 3:30pm-4:45pm; West; Bryan Research, rooms 101 and 301; 1 Unit.

NEUROBIO 730.01 Neurostatistics: Introduction to applied probability theory and statistical methods in commonly used

neuroscience.

Oct 5 – Nov 23; T Th 10:00am - 11:30am; Beck; Bryan Research, room 301; 1 Unit.

NEUROBIO 733.01 (CMB, PHARM 733.01) Experimental Design and Biostatistics for Basic Biomedical Scientists - See

PHARM 733.01

NEUROBIO 751 (NEUROSCI 751) Neuroscience Boot Camp: Neuroscience Bootcamp is a two-week immersive lecture,

discussion and laboratory course for graduate students in the Neurobiology Graduate Program and the Cognitive

Neuroscience Admitting Program, and graduate students in allied programs at the discretion of the instructors. The

Duke Neuroscience Bootcamp is designed to (1) provide a common knowledge base of neuroscience fundamentals; (2)

demystify the tools of the discipline - providing hands-on experience with techniques that are commonly used to explore

cellular/molecular, circuits and cognitive neuroscience.

Aug 26 - Sep 19, TWThF; 9:00am – 5:00pm; Glickfeld/Grandl/Samanez-Larkin; Bryan Research, room 301; 2 Units.

NEUROBIO 759S (PSY 759S, PHIL 753S) Principles in Cognitive Neuroscience I- Introduction to the cognitive

neuroscience of emotion, social cognition, executive function, development, and consciousness. Topics also include

cognitive disorders, and computer modeling. Highlights current theories, methodological advances, and

controversies. Students evaluate and synthesize findings across a variety of research techniques. Consent of instructor

required. T Th 12:00pm-1:15 pm; Cabeza; 3 Units.

NEUROBIO 790 Student Seminar – Preparation and presentation of seminars to students and faculty on topics of broad

interest in neurobiology. Required of all first – and second-year students. W 12:00 – 2:30 pm; Rebecca Yang/Jeremy Kay;

1 unit

NEUROBIO 793 Research in Neurobiology (Independent Study)- This course acquaints students with research in

neuroscience and allows them to become proficient in a variety of techniques. It is an independent study in one of the

laboratories of the training faculty. Students are expected to do three rotations in three semesters. (Laboratory

Rotations) (up to 12 Units)

NEUROSCIENCE

http://www.dibs.duke.edu/education/graduate

PATHOLOGY

https://patholgy.duke.edu/education/phd-graduate-program/curriculum

PATHOL 725 Introduction to Systemic Histology The purpose of this course is to teach students how to identify a variety

of normal tissues and cell types in standard histologic sections. Structure/function relationships will be emphasized,

using an organ system approach. The scheduled class time includes both lecture and laboratory using “virtual

microscopy”, where scanned glass slides are viewed on the screen of your laptop/tablet computer. The course is open

to graduate students and advanced undergraduates and is recommended for students whose research requires

examination of tissue sections. MWF 1:25-2:40 pm, Hale; 3 Units

PATHOL 735S Animal Models in Translational Research The goal of this course is to give students a working knowledge

of the use of animal models in research, types of models and how to choose for translational relevance. Topics include

the regulations governing the use of animals in research, principles of in vivo experimental design, as well as best

Fall 22 Basic & Biomedical Sciences Courses

practices for data collection, interpretation and reporting during animal study conduct. Students will be exposed to the

principal elements that impart variability and bias in the generation of animal study data, and will learn best practices

for the conduct of high-quality animal studies that lead to reproducible data. MW 11:45am-1:00pm, Everitt/ Norton, 3

Units, location TBD

PATHOL 787 Basic Biology of Cells as a Function of Age: Implication for Disease The objective of this course is to review

the fundamentals of cell biology as a function of age and their contribution to pathologies associated with age-related

diseases. This course will cover a wide range of principles, including concepts and theories of aging, impact of aging on

cell regulation and signaling, metabolism and epigenetics, relevant in vitro and in vivo experimental models, and

potential anti-aging therapies. The course format will involve a combination of lectures and journal club style sessions, in

which students will have the opportunity to hone their analytical and critical thinking skills while evaluating current

literature. MW 9:30am-11:00am, Malek, Liton 3 Units, location TBD

PATHOL 855 Graduate Seminar, Pathology Graduate Students only, This is a year-long course where each graduate

student gives a presentation on his/her research in a formal setting to their peers and Pathology Graduate faculty. All

Pathology graduate students are required to register for this course each semester throughout their training. Typically,

1st and 2nd year graduate students get 30 min time slots but more senior students are given 1 hr. time slots. Different

aspects of presentations by the students (e.g. introduction, significance, quality and rigor of data, validity of conclusions,

quality of slides, delivery style, etc.) are anonymously assessed by everyone in the audience, using critique sheets that

are provided to the graduate student’s mentor for review with students. As a result of the strong emphasis on the

importance of oral presentation of research, and peer review, remarkable improvements in the quality and contents of

student presentations have been observed each year. Th 4:00pm-5:00pm, Abraham, 3 Units, MSRB1 001

PHARMACOLOGY

https://pharmacology.duke.edu/training/graduate/pharmacology

PHARM 533 Essentials of Pharmacology & Toxicology - Drug absorption, distribution, excretion and metabolism.

Structure and activity relationships; drug and hormone receptors and target cell responses. Consent of instructor

required. Prerequisite: introductory biology; Chemistry 151L; Mathematics 31 and 32. Instructor: Slotkin and staff,

MWF 3:30-4:50 pm; LSRC C144; 4 Units. NOTE: CMB Students in Pharmacology are currently required to take PHR 533

Essentials in Pharmacology & Toxicology. This is also a core course for the Environmental Health Certificate.

PHARM 733.01 (CMB, NEUROBIO, BME, MOLCAN 733.01) Experimental Design and Biostatistics for Basic Biomedical

Scientists - The use and importance of statistical methods in laboratory science, with an emphasis on the nuts and bolts

of experimental design, hypothesis testing, and statistical inference. Central tendency and dispersion, Gaussian and non-

Gaussian distributions, parametric and nonparametric tests, uni- and multivariate designs, ANOVA and regression

procedures. Student presentations in addition to formal lectures. Consent of instructor required. T 8:30-10:15 am; LSRC

C144; Slotkin (Runs concurrently with Section 733.02 & 733.03) 2 Units.

PHARM 733.02 (CMB, NEUROBIO, BME, MOLCAN 733.02) Experimental Design and Biostatistics for Basic Biomedical

Scientists - The use and importance of statistical methods in laboratory science, with an emphasis on the nuts and bolts

of experimental design, hypothesis testing, and statistical inference. Central tendency and dispersion, Gaussian and non-

Gaussian distributions, parametric and nonparametric tests, uni- and multivariate designs, ANOVA and regression

procedures. Student presentations in addition to formal lectures. Consent of instructor required. W 8:30-10:15 am; LSRC

C144; Slotkin (Runs concurrently with Section 733.02 & 733.03) 2 Units.

PHARM 733.03 (CMB, NEUROBIO, BME, MOLCAN 733.03) Experimental Design and Biostatistics for Basic Biomedical

Scientists - The use and importance of statistical methods in laboratory science, with an emphasis on the nuts and bolts

of experimental design, hypothesis testing, and statistical inference. Central tendency and dispersion, Gaussian and non-

Gaussian distributions, parametric and nonparametric tests, uni- and multivariate designs, ANOVA and regression

Fall 22 Basic & Biomedical Sciences Courses

procedures. Student presentations in addition to formal lectures. Consent of instructor required. Th 8:30-10:15 am; LSRC

C144; Slotkin (Runs concurrently with Section 733.02 & 733.03) 2 Units.

PHARM 780 (MOLCAN 780) Advances in Cancer Research – See MOLCAN 780

PHARM 818 (MOLCAN 818) Molecular Mechanisms of Oncogenesis - See MOLCAN 818

POPULATION HEALTH SCIENCES

https://populationhealth.duke.edu/education

PHS 701 Applied Analytic Methods for Population Health Sciences I

Students will get an introduction to study design, descriptive statistics, and analysis of statistical models with one or two

predictor variables. Topics include: principles of study design, basic study designs, descriptive statistics, sampling,

contingency tables, one- and two-way analysis of variance, simple linear regression, and analysis of covariance. Both

parametric and nonparametric techniques are also explored. Core concepts are taught through team-based case studies

and analysis of research datasets taken from the population health sciences literature and demonstrated in concert with

PHS 703 (Introduction to SAS Programming for Population Health Sciences). Computational exercises will primarily use

the SAS Statistical Computing Platform. MW 10:05AM - 11:20AM; Hammill; 2

Floor Imperial Building, Classroom A; 3

Units

PHS 703 Introduction to Statistical Programming for Population Health Sciences I, concurrent with PHS 701

Students will be introduced to statistical software packages (e.g., SAS Software System, R Statistical Computing Platform)

to provide an introduction to the core ideas of programming, including data preparation, input/output, debugging, and

strategies for program design. Students will learn to write code to perform descriptive, statistical, and graphical

analyses, and write maintainable code, to test for correctness, and to apply basic principles of reproducibility.

Programming techniques and their applications will be closely connected with the methods and examples presented in

the co-requisite applied analytic methods course PHS 701. This course assumes minimal programming knowledge. 8:30-

10:00 AM; Dean; 2

Floor Imperial Building, Classroom A; 1 unit

PHS 705 Topics in Population Health Sciences I

Students will gain foundational knowledge in the US healthcare system, population health sciences, and health and

healthcare including an introduction to major diseases and disorders. Topics include: overall structure of the US

healthcare system, insurance, Medicare, Medicaid, VA system, the ACA, mental health, health economics, and quality of

care. TU TH 10:05-11:20 AM, Dupre, 2

Floor Imperial Building, Classroom A; 3 Units

PHS 707 Population Health Sciences Research Methods and Study Design I

This is the first in a two-course sequence that gives students a strong foundation in population health research methods.

The course introduces critical concepts in research methods, including varying types of validity, reliability, and causal

inference. Topics include: sampling and interpretation of probability and nonprobability sampling; an introduction to

measurement theory; threats to internal validity; experimental designs; and quasi-experimental designs. TU TH 8:30-

9:45 AM; King; 2

Floor Imperial Building, Classroom A; 3 Units

PHS 709 Professional Development I

1 hour

This multi-semester course gives students a holistic view of their career choices and how to develop the tools they’ll

need to succeed professionally. Fall semester focuses on creating a strong professional presence, proper networking

techniques, American employer expectations, creating and maintaining a professional digital presence, and learning how

to conduct and succeed at informational interviews. Students will attend interviewing and networking events with Duke

staff and faculty as well as external guests. W 8:30-9:45 AM, Skinner; 2

Floor Imperial Building, Classroom A; 1 Unit

PHS 811 Pragmatic Health Policy Research

3 hours

Fall 22 Basic & Biomedical Sciences Courses

This course covers the foundational principles of health policy and policy science, and continues on to consider practical

examples of research being used to change policy at various levels.

This course bridges the divide between analysis/methods courses (generating evidence) and policy courses (understanding

specific policy areas, process and stakeholders) to help students build foundational knowledge and focused skills in

framing/communicating timely, policy-relevant evidence, applicable to many population health-related career paths.

Students will increase knowledge and mastery of theoretical and substantive foundations of pragmatic policy analysis, specific

policy areas and issues (e.g. SNAP, Medicaid, opioid use disorder, infant mortality, etc). M 3:00-6:00 PM, Sandoe, 2

Floor

Imperial Building, Classroom A; 3 Units; Open to both Master’s and PhD students

PHS 813 Improving Population Health through Implementation Science

3 Hours

Implementation science addresses the translation of evidence-based practices, programs and policies into real world settings.

This course will include didactic lectures, with case studies, applied group work, and a culminating real-world, hands-on

implementation, dissemination, de-implementation, or QI science project. W 3:00-6:00 PM, Zullig, 2

Floor Imperial Building,

Classroom B; 3 units; Open to both Master’s and PhD students

PHS 815 Fundamentals of qualitative research implementation

3 Hours

This course prepares learners for serving as a research assistant on qualitative research studies. Learners will gain competency

in 1) conducting qualitative research studies, with an emphasis on study coordination and interviewing skills, and 2) managing

data and conducting applied thematic analysis.

Learners will have competency in 1) coordinating qualitative studies (e.g., screening, recruitment, regulatory, scheduling), 2)

conducting qualitative interviews (e.g., demonstrable skills in leading in-depth interviews and focus groups), 3) managing

study data, and 4) conducting qualitative analysis (e.g., demonstrable skills in analysis steps, use of software). T TH, 8:30-10:00

AM, Bosworth, 2

Floor Imperial Building, Classroom B; 3 Units; Open to both Master’s and PhD students

PHS 702 Applied Analytic Methods for Population Health Sciences II

3 Hours

This course is a continuation of PHS 701. Topics include: analysis of multivariable statistical models with continuous,

dichotomous and survival outcomes. Topics include mixed effects models, generalized linear models (GLM), basic

models for survival analysis and regression models for censored survival data, clustered data. Students will explore

parametric and nonparametric and perform computational exercises using the SAS System and R Statistical Computing

Platform. MW 10:05-11:20 AM; Maciejewski; 2

Floor Imperial Building, Classroom A; 3 Units

PHS 704 Introduction to Statistical Programming for Population Health Sciences II

1.5 hours, concurrent with PHS 702

Students will build on programming learned in PHS 703 using the SAS Software System and R Statistical Computing

Platform. Students will perform descriptive, statistical, and graphical analyses, and write maintainable code, test code

for correctness, and apply basic principles of reproducibility. Programming and assignments will be closely connected

with the methods and examples presented in the co-requisite applied analytic methods course PHS 702. MW 8:30-10:00

AM; Dean; 2

Floor Imperial Building, Classroom A; 1 Unit

PHS 706 Topics in Population Health Sciences II

This course is a continuation of topics introduced in PHS 705 including: definition and measurement of population

health; an overview of determinants of health including medical care, socioeconomic status, the physical environment

and individual behavior, and their interactions; an overview of health services research, dissemination and

implementation science, epidemiology, and measurement sciences. TU TH 10:05-11:20 AM; Wang ; 2

Floor Imperial

Building, Classroom A; 3 Units

PHS 708 Population Health Sciences Research Methods and Study Design II

This is the second in a two-course sequence that gives students a strong foundation in population health research

methods. Topics include: qualitative and mixed methods, and advanced designs relevant to population health. The

course applies foundational design information to methods unique to population health, including pragmatic trials,

Fall 22 Basic & Biomedical Sciences Courses

administrative claims data, and electronic medical record data. The course culminates in the development of a strong

research question for a literature review, using the methods learned to critique research on a topic of the student’s

choosing. TU TH 8:30-9:45 AM; Curtis; 2

Floor Imperial Building, Classroom A; 3 Units

PHS 710 Professional Development II

This course is a continuation of PHS 709 and teaches project and team management. This course will give the student a

holistic view of career choices and development and the tools they will need to succeed as professionals in the world of

work. W 8:30-9:45 AM; Skinner; 2

Floor Imperial Building, Classroom A; 1 Unit

UNIVERSITY PROGRAM IN GENETICS AND GENOMICS

http://upg.duke.edu

UPGEN 659 / BIOCHEM 659 Structural Biochemistry II - See BIOCHEM 659

UPGEN 658/ BIOHEM 658 Structural Biochemistry 1-See BIOCHEM 658

UPGEN 701 Advanced Topics in Genetics and Genomics - This course is open only to first year UPGG graduate class.

Weekly discussion of current literature in genetics (Fall semester) and genomics (Spring Semester). This is course is

meant to fill two objectives. The first objective is to ground each of the members of the UPGG first year class, regardless

of their interest, in the two areas of focus of the program - namely, genetics and genomics. The second objective is to

facilitate interactions among the diverse student body by bringing the class together once a week for discussion. W

3:45p-5:00; 2 Units.

UPGEN 711 (BIOLOGY 701) - Succeeding in Graduate School in the Biological 0Sciences- Weekly lecture and Q&A on

choosing a thesis advisor, the grant proposal and scientific manuscript peer review processes, and other topics related

to succeeding in graduate school. Also counts for RCR credit. Minicourse, 1st half-semester. M 5:15p-6:15PM; Noor;

Online; 0.5 Units

UPGEN 716 Genetics Student Research - Presentations by genetics students on their current research. Required course

for all graduate students specializing in genetics. Credit grading only. Tues 4:30p-6:00 pm; Silva and Yan; 1 Unit

UPGEN 750 Genetics Colloquium - Lectures, and seminars on selected topics of current interest in genetics. Required of

all students specializing in genetics. Tu 12:30-1:30; Ashley-Koch; Online; 1 Unit

UPGEN 778A-F Genetic Approaches to the Solution of Biological Problems (MGM 778) UPGEN 778A-F are six mini-

courses offered sequentially during the fall semester and together cover 24 topics. These courses are part of the core

offerings of the University Program in Genetics and Genomics and allow maximum flexibility for a student-designed

curriculum. Multiple topics are available during each mini-course and students choose one. The topics address

everything from fundamentals of genetics to modern molecular genetic and genomic strategies for the analysis of a

variety of biological systems. Each mini-course consists of six classes. MWF 2:00-3:30 pm; Daniel Lew; Full list of topics

available at https://upg.duke.edu/current-students/courses; 1 Unit per module.