Department: SOPH-Data Science (Academic_Department)

Code Name Description
BDS 711 Statistical Methods in Research Provides an introduction to selected important topics in statistical concepts and reasoning. This course represents an introduction to the field and provides a survey of data types and analysis techniques. Specific topics include applications of stat...
BDS 712 Statistical Methods in Research II A continuation of Statistical Methods in Research 1, this course introduces the student to more complicated methods than those discussed in the first course including generalized linear models, survival models and longitudinal data analysis. The emph...
BDS 713 Intro to Data Management and Programming Provides an introduction to programming and data management. The course will focus on planning and organizing programs to handle and process data, as well as the grammar of particular programming languages.
BDS 714 Statistical Methods for Clinical Trials Provides a basic understanding of the statistical concepts important in the design, conduct and analysis of clinical trials.
BDS 715 Intro to Sample Survey Analyses Provides an introduction to statistical concepts in the design and analyses of sample surveys. Covers topics such as instrument design, sampling procedures, variance estimation, reliability, validity, scaling and scoring, complex samples and weightin...
BDS 721 Analytics Provides an introduction to basic statistical and data analytic methods. This course covers topics such as data archetypes; exploratory data analysis; basic statistical paradigms including frequentist, likelihood and Bayesian approaches; contingency...
BDS 722 Advanced Analytics Continues introductions to intermediate and advanced statistical analysis methods for biomedical research. This course covers advanced regression topics, generalized linear models (GLM), generalized additive models (GAM), splines and smoothing techni...
BDS 723 Statistical Programming with R This course will provide students with an introduction to statistical computing. Students will learn the core ideas of programming functions, objects, data structures, flow control, input and output, debugging, logical design and abstraction through...
BDS 724 Longitudinal and Multilevel Models Covers statistical models for drawing scientific inferences from clustered\correlated data such as longitudinal and multilevel data. Topics include longitudinal study design; exploring clustered data; linear and generalized linear regression models f...
BDS 725 Survival Analysis This course introduces basic concepts and methods for analyzing survival time data obtained from following individuals until occurrence of an event or their loss to follow-up. We will begin this course from describing the characteristics of survival...
BDS 726 Generalized Linear Models Provides a foundation in the theory and application of generalized linear models and related statistical topics. A generalized linear model (GLM) is characterized by (1) a response variable with a distribution in an exponential dispersion family and...
BDS 727 Nonparametric Analyses Provides an introduction to modern topics in nonparametric data analysis for estimation and inference. Topics include kernel estimation, rank based methods, nonparametric regression, confidence sets and random processes. Methodology and theory are pr...
BDS 728 Multivariate Analysis Provides an introduction of the analysis of multivariate data, balancing theory, implementation and translation of these methods. Topics covered include matrix computations, visualization techniques, the multivariate normal distribution, MANOVA, pri...
BDS 739 Computational Statistics This course will cover efficient methods for obtaining numerical solutions to statistical problems. Topics include numerical optimization in statistical inference [expectation-maximization (EM) algorithm, Fisher scoring, etc.], Monte Carlo methods, r...
BDS 741 Statistical Inference I Introduces probability and distribution theory, including axioms of probability; random variables; probability mass and density functions; common discrete and continuous distributions; transformations and sums of random variables; expectations, varia...
BDS 742 Statistical Inference II This course is a continuation of Statistical Inference I and continues to introduce modern statistical theory and principles of inference based on decision theory and likelihood (evidence) theory.
BDS 743 Theory of Linear Models Provides an introduction to the development and use of general linear models including frameworks for parameter estimation and inference in a variety of settings. Theoretical foundations of the models will be reinforced with areas in which the models...
BDS 750 Study Design in Clinical Trials This course will equip doctoral-level biostatisticians and data scientists with the skills necessary to participate in the design, planning, and analysis of biomedical, clinical, and population-based health studies. This course will cover a wide arra...
BDS 751 Statistical Inference in Genetics This course will present fundamental theoretical concepts and statistical inference with emphasis on genetic epidemiology research for common human diseases. Five modules will be covered, including an introduction to statistical inference methods use...
BDS 752 Advanced Statistical Genetics An advanced course on modeling and methodology in statistical genetics for human diseases and traits. The course will cover topics including linkage analysis, population structure and stratification, admixture mapping, heritability and genetic risk p...
BDS 753 Bioinformatics Provides an introduction to selected important topics in bioinformatics. The course focuses on integrating bioinformatics resources with basic biology and clinical applications to enhance population health research. Includes methods for the analysis...
BDS 754 Principles of Programming with Python This course will introduce fundamental programming concepts such as data structures and algorithms, object oriented programming, and the basics of building interactive applications in the python programming language.
BDS 761 Data Science and Machine Learning I Provides a modern introduction to data science, including data wrangling and dynamic data visualization processes, while reinforcing reproducible research and applied machine learning methods. Course content will be delivered through lectures and han...
BDS 762 Advanced Data Science Provides a continuation into advanced Data Science topics with deeper programming and additional concepts. Topics include simulation, bootstrap, prediction, machine learning, and tool development. Course content will be delivered through lectures and...
BDS 763 Database Systems Review of database systems with special emphasis on data description and manipulation languages; data normalization; functional dependencies; database design; data integrity and security; distributed data processing; design and implementation of a co...
BDS 764 Data Visualization Provides an introduction to principles and techniques for creating effective interactive visualizations of quantitative information. Primary topics include principles for designing effective visualizations and implementing interactive visualizations...
BDS 765 Data Science and Machine Learning 2 This course introduces students to the basic theories, concepts, and techniques of machine learning and gives them a glimpse of the state-of-the-art methods in this area. Topics covered include Bayesian estimation and decision theory, maximum likelih...
BDS 766 Advanced Computational Methods Provides a blend of software engineering, stochastic processes and optimization for creating and deploying efficient analytic tools. Topics covered include software engineering paradigms, robust software design, data structure, object oriented design...
BDS 767 Deep Learning Applications This course will review the basic concepts of deep learning convolutional neural networks (CNNs), emphasizing application development. Students will be exposed to decent technologies and open-source tools such as PyTorch, TensorFlow, Keras, Jupyter N...
BDS 791 Special Topics This course is intended to meet special needs of individual students. Students who wish to learn more about a particular topic can approach a mentor to determine an advanced course of study for that topic. The structure of an individual course is dec...
BDS 792 Statistical Consulting Provides hands-on training and experience in statistical consulting. Written and oral communication skills are emphasized, working with collaborators/investigators on new and ongoing research projects.  Developing a consistent process and approach to...
BDS 793 Seminar Series: Microtopics This course consists of attending the weekly Department of Data Science faculty seminar series. The goal of this seminar course is to expose students to current research topics in the field, to also give them exposure to seminar presentations, and to...
BDS 794 Journal Club This biweekly journal club will include student presentations of high-impact or seminal biostatistics, data science, or genomics journal articles. Each participating student will be required to present once per semester, with additional presentations...
BDS 796 Directed Research Provides students to the opportunity to conduct research under the guidance of a faculty member from the Department of Data Science.
BDS 798 Dissertation Research Research and preparation of a dissertation.