This course enables students to understand the impact of IT on an organization’s transformative objectives. Students learn how to integrate IT as the key driver for business process change and for continuous improvement in incremental gains and for selective reengineering to effectuate substantial breakthroughs in process performance. Students will develop an in-depth understanding of how technology can have a push-effect on an organization’s processes and of the factors that must be in-synch to facilitate such an effect, e.g., organizational desire for change, corporate culture, and the strategic role that IT leaders must play in working together with the lines of business to effectuate this change.
Prerequisites: STAT GU5204 and STAT GU5205 Open to MA students in Statistics only Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.
This course introduces the Bayesian paradigm for statistical inference. Topics covered include prior and posterior distributions: conjugate priors, informative and non-informative priors; one- and two-sample problems; models for normal data, models for binary data, Bayesian linear models, Bayesian computation: MCMC algorithms, the Gibbs sampler; hierarchical models; hypothesis testing, Bayes factors, model selection; use of statistical software. Prerequisites: A course in the theory of statistical inference, such as STAT GU4204/GR5204 a course in statistical modeling and data analysis such as STAT GU4205/GR5205.
Prerequisites: STAT GR5206 or the equivalent. Open to MA students in Statistics only The course will provide an introduction to Machine Learning and its core models and algorithms. The aim of the course is to provide students of statistics with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems - not only to analyze large data sets, but to let computers perform tasks that traditional methods of computer science are unable to address. Examples range from speech recognition and text analysis through bioinformatics and medical diagnosis. This course provides a first introduction to the statistical methods and mathematical concepts which make such technologies possible.
Data Analytics
The creation and maintenance of sports leagues is a nuanced and complex endeavor. This course examines the format, hierarchy, membership, governance, and operational efficiencies of several sports leagues that have been launched with varying levels of success. Through a combination of lectures, case studies and guest speakers, students will learn about the ideation, funding, legal aspects, marketing, media strategy and monetization of these businesses, both domestically and globally. Students will gather data about emerging sports leagues of the past and present and conduct research on the leagues of their choice. The culminating project in this course will be an original proposal by student groups of a new sports league, addressing all of the aforementioned dimensions in a formal presentation to potential ‘investors.’ Students will present their proposal via online video conference for instructor feedback following the block week. This course is ideal for students who have an interest in the structural and operational decisions that affect the success and sustainability of sports leagues and their members.
This is an elective course for the M.S. program in Sports Management; students in the program may take this course when allowed by their curriculum requirements. Students outside of the Sports Management program may take this course upon approval of the Academic Program Director.
This course focuses on the duties, responsibilities, and challenges of managing IT project managers in complex organizations. It offers a holistic presentation of the key issues a program manager – and their respective project managers – will need to consider when planning, implementing, and reporting on a suite of projects (i.e., a program). It introduces executive students to the multifaceted realities that supervisors of project managers deal with in the context of technology systems. It pays especially close attention to crisis management in the context of programs, and provides students with best practices for addressing corollary concerns. The course will introduce students to multiple frameworks for managing programs – offering students perspectives from global project managers. Some assignments in this class mimic the kinds of deliverables a program manager will be expected to produce throughout the course of managing a suite of projects. Students must therefore develop an approach to program management based on actual projects within their company or industry. Other assignments in this class will have to do with case studies, allowing students the ability to reflect on how they will respond in a number of common situations, such as interpersonal issues, calendaring failures, and legal risk.
This course will develop the knowledge and skills necessary for conducting comprehensive and focused health assessments for individuals with emphasis placed on interviewing skills, health histories, and physical and psychosocial findings in the well person. Communication and record keeping skills are developed.
TBA
Students will utilize the knowledge and skills learned to perform a comprehensive or focused health assessment including history and physical examination in a supervised laboratory. Students will record findings in an approved manner and demonstrate utilization of holistic, region-cultural, and ethical approaches to individuals and families.
This course provides a comprehensive overview of the grants process, with specific reference to the research, writing, and managing of a range of grant types. The grants process is considered within the context of an institution’s total fundraising strategy as well as its overall mission-based goals. The course covers the range of possible grant-giving institutions, including government, corporate, and foundation, as well as the various types of grants, such as challenge, and their respective considerations for the fundraiser and nonprofit institution. Emphasis is placed on developing competitive proposals, accurate budgets, and appropriate systems of administration. Prerequisite: Fundraising Fundamentals: NOPM PS5370
This is an introductory pharmacology course, and, since pharmacology is an applied science, it builds on several foundational concepts of biology, chemistry, microbiology, anatomy, and physiology in the context of nursing practice. Principles of pharmacology will be discussed, including pharmacokinetics, pharmacodynamics, and toxicities. Major pharmacologic agents used in treating more common disease states will be discussed with emphasis on relating the mechanism of action to the therapeutic use.