Managerial Economics

• Department: Business Economics
• SU 9 a.m.-10:15 a.m.
• RU 9 a.m.-10:15 a.m.
• 3 points

FINANCE FOR EFFECTIVE HCM

• Department: Human Capital Management
• M 8:30 p.m.-10 p.m.
• T 8:30 p.m.-10 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: Angela Finlay
  Info
• Instructor: Anthony J Rose
  Info
• Instructor: Solange Charas
  h-index: 4 Info
• 3 points

APPLIED BUSINESS INTEL FRAMEWORKS IN SPR

This course will build on the topics and tactics covered in Business Intelligence in Sports to create a real-life learning lab where students can apply key concepts and expand their techniques against real data from a partner professional sports team. More advanced skills around SQL, Tableau, and R will be developed and applied to relevant scenarios using available data such as customer demographics, behaviors, tickets, attendance, social media, marketing, surveys, and sponsorships. Students will leave the class prepared to join a team’s business intelligence department and make immediate contributions.

• Department: Sports Management
• W 8:10 p.m.-10 p.m.
• Instructor: Charlie Sungho Shin
  Info
• 3 points

INTEGRATIVE CAPSTONE WORKSHOP

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• Instructor: Kizzy M Charles-Guzman
  Info
• 3 points

CERAMICS I

• Department: Summer Session (SUMM)
• TF 11 a.m.-2 p.m.
• Instructor: Leah R Wolff
  Info
• 3 points

ADVANCED CONFLICT RESOLUTION

A multitude of approaches guide the practitioner when faced with a problem. In conflict resolution, these approaches stem from a range of disciplines, whether from psychology, social psychology, political science, international relations, clinical psychology or even from quantum theory and the latest advances in neuroscience. From this palette of theories, frameworks, and models, the avid and adequately equipped practitioner is able to engage with the conflicts arising from various situations. Ideally, he/she is able to prevent, reduce, mitigate or to de-escalate the conflict to such a degree that actors are able to constructively engage in handling their issues. The competence to understand the drivers and triggers of conflict, and the motives that actors have to engage in conflict is derived from the practitioner’s capacity and capability to be flexible, adaptable, and critical in deploying the knowledge and tools appropriate to resolve any conflict, whether international, communal, organizational or interpersonal. Using a combination of analysis and case studies, this course explores the intersection of theory and analysis, covering the various concepts and frameworks available in the field and applying them to current situations. The critical engagement with the discipline allows students to improve their critical thinking skills, asking a range of questions to appraise the validity of each introduced concept and model, thereby reflecting proactively on whether or not a theory is useful and applicable in explaining the myriad phenomena emerging from a conflict. Knowing when a theory is advantageous to allow for the investigation into what drives, triggers, and motivates the behaviors, attitudes, or emotions of conflict parties immerses students into the reality and practicality of dealing with complex issues and the pitfalls of making recommendations short of viable entry points for leveraging peace and bringing a potentially protracted conflict to a different pathway. The acquired competences are applicable not only towards the program, but also beyond the program as students will be empowered to reflect critically on a text, understand the internal and external validity of a theory, circumvent logical errors, focus on concise and cohesive line of argumentation, and apply results-based recommendations. These skills and competences are applicable to any position requiring analytical, writing, and presentation skills. This course builds on and expands the learnings from PS5101. It is a core course, allo

• Department: Negotiation & Conflict Resolution
• Instructor: Christine D Straw
  Info
• 3 points

PROBABILITY

Prerequisites: At least one semester of calculus. A calculus-based introduction to probability theory. Topics covered include random variables, conditional probability, expectation, independence, Bayes rule, important distributions, joint distributions, moment generating functions, central limit theorem, laws of large numbers and Markovs inequality.

• Department: Summer Session (SUMM)
• MTWR 4:30 p.m.-6:05 p.m.
• MW 7 p.m.-9:30 p.m.
• Instructor: Young S Kim
  CULPA: 5 Info
• Instructor: Michael Sobel
  CULPA: 5 Wikipedia h-index: 35 Info
• 3 points

STATISTICAL INFERENCE

Prerequisites: STAT GR5203 or the equivalent, and two semesters of calculus. Calculus-based introduction to the theory of statistics. Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals, maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.

• Department: Summer Session (SUMM)
• MTWR 6:15 p.m.-7:50 p.m.
• Instructor: Ji Meng Loh
  CULPA: 19 Info
• 3 points

APPLIED ANALYTICS FRAMEWORKS & METHDS II

APP AN FRAMEWORKS & METHODS II

• Department: Applied Analytics
• T 8:10 p.m.-10 p.m.
• Instructor: David Shilane
  Info
• 3 points

APPLIED ANALYTICS FRAMEWORKS & METHDS II

APAN FRMWRKS & MTHDS II ONLINE

• Department: Applied Analytics
• W 6:10 p.m.-8 p.m.
• Instructor: Gurgen Hayrapetyan
  Info
• 3 points

STAT COMP & INTRO DATA SCIENCE

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.

• Department: Summer Session (SUMM)
• MTWR 4:30 p.m.-6:15 p.m.
• Instructor: Gabriel Young
  CULPA: 7 Info
• 3 points

ADVANCED MEDIATION FOR BIOETHICS

ADV MEDIATION FOR BIOETHI

• Department: Bioethics
• WRFMT 9 a.m.-5 p.m.
• Instructor: Jenny Besch
  Info
• 3 points

ADVANCED MEDIATION

• Department: Negotiation & Conflict Resolution
• MTWR 9 a.m.-5 p.m.
• Instructor: Jenny Besch
  Info
• 3 points

PYTHON FOR DATA ANALYSIS

PYTHON FOR DATA ANALYSIS ONLNE

• Department: Applied Analytics
• T 8:10 p.m.-10 p.m.
• Instructor: Max Vilenchik
  Info
• 3 points

CONFLICT RESOLUTION AND DYNAMICAL SYSTEM

CONF RESOLUTION/DYNAMIC S

• Department: Negotiation & Conflict Resolution
• Instructor: Camilo Azcarate
  Info
• 3 points

SUSTAINABLE ENTREPRENEURSHIP

• Department: Sustainability Management
• W 4:10 p.m.-6 p.m.
• Instructor: Jonathan Hollander
  Info
• 3 points

Time Series Analysis

Open to MA students in Statistics only Prerequisites: STAT GU4205 or the equivalent. Least squares smoothing and prediction, linear systems, Fourier analysis, and spectral estimation. Impulse response and transfer function. Fourier series, the fast Fourier transform, autocorrelation function, and spectral density. Univariate Box-Jenkins modeling and forecasting. Emphasis on applications. Examples from the physical sciences, social sciences, and business. Computing is an integral part of the course.

• Department: Summer Session (SUMM)
• TR 1 p.m.-4:10 p.m.
• Instructor: Li Haoran
  Info
• 3 points

BAYESIAN STATISTICS

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.

• Department: Summer Session (SUMM)
• MTWR 9 a.m.-10:35 a.m.
• Instructor: Ronald Neath
  CULPA: 13 Info
• 3 points

PRACTICUM IN PEACEBUILDING

• Department: Negotiation & Conflict Resolution
• W 6:10 p.m.-8 p.m.
• 3 points

MAJOR & LEADERSHIP GIVING

• Department: Non Profit Management
• M 6:10 p.m.-8 p.m.
• Instructor: Leah E Heister
  Info
• 3 points

SUSTAINABLE AGRICULTURE

• Department: Sustainability Management
• R 6:10 p.m.-8 p.m.
• Instructor: Bruce Kahn
  Info
• 3 points

STATISTICAL MACHINE LEARNING

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.

• Department: Summer Session (SUMM)
• MTWR 2:45 p.m.-4:20 p.m.
• Instructor: Banu Baydil
  CULPA: 10 Info
• 3 points

PURPOSE-DRIVEN COMMUNICATION

• Department: Strategic Communication
• S 10 a.m.-noon
• Instructor: Hayley Berlent
  Info
• 3 points

EXTERNAL STAKEHOLDER REQUIREMENTS

EXT STAKEHOLDER REQ (ONLINE)

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• Instructor: R S Forston
  Info
• 3 points

EXTERNAL STAKEHOLDER REQUIREMENTS

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• Instructor: Joshua Timari
  Info
• 3 points

FOUNDATIONS OF LABOR & EMPLOYMENT LAW

FND OF LABOR & EMP LAW

• Department: Human Capital Management
• M 8 p.m.-9:30 p.m.
• W 6:30 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Lori B Rassas
  Info
• Instructor: Susan Alevas
  Info
• Instructor: Lee Miller
  Wikipedia Info
• 3 points

CONFLICT RESOLUTION FIELDWORK

NECR FIELDWORK

• Department: Negotiation & Conflict Resolution
• U 10 a.m.-12:15 p.m.
• Instructor: Nikolas Katsimpras
  Info
• 1 points

DATA ANALYTICS/METRICS IN THE NONPROFIT

Data Analytics

• Department: Non Profit Management
• W 6:10 p.m.-8 p.m.
• Instructor: James W Lauckhardt
  Info
• 3 points

EMERGING AND NICHE SPORTS LEAGUES

EMERGING & NICHE SPORTS L

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.

• Department: Sports Management
• MTWRF 9 a.m.-5 p.m.
• Instructor: Scott Rosner
  Info
• 3 points

PROJECT MANAGEMENT FOR TECH EXECUTIVES

PROG MGMT FOR TECH EXECS

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.

• Department: Technology Management
• T noon-1:30 p.m.
• Instructor: Yves Leon
  Info
• 3 points

ORGANIZATIONAL STRATEGY AND LEARNING

ORG STRAT AND LEARNING

• Department: Human Capital Management
• W 8:30 p.m.-10 p.m.
• Instructor: Sara Daly-Padron
  Info
• 3 points

WORKS OF ART

• Department: Narrative Medicine
• TR 6:10 p.m.-8 p.m.
• Instructor: Rika Burnham
  Info
• 3 points

STATISTICAL METHODS FOR FINANCE

Prerequisites: STAT GR5204 or the equivalent. STAT GR5205 is recommended. Open to MA students in Statistics only A fast-paced introduction to statistical methods used in quantitative finance. Financial applications and statistical methodologies are intertwined in all lectures. Topics include regression analysis and applications to the Capital Asset Pricing Model and multifactor pricing models, principal components and multivariate analysis, smoothing techniques and estimation of yield curves statistical methods for financial time series, value at risk, term structure models and fixed income research, and estimation and modeling of volatilities. Hands-on experience with financial data.

• Department: Summer Session (SUMM)
• MTWR 6:15 p.m.-7:50 p.m.
• Instructor: Hammou El Barmi
  CULPA: 8 Info
• 3 points

STRATEGIC VISUAL COMMUNICATION

This course focuses on exploring and clarifying the value and role of strategic visual communications within today’s broad business context. Through a combination of readings, case studies, class discussions, simulations, and media, students will recognize the importance visuals play in effective communications, gain insight into how visuals can help them to communicate more clearly and effectively, and understand the role of visuals in developing brands and marketing messages. In addition, students will build practical competencies in “the language of design” that will increase their effectiveness in selecting, briefing, leading, and evaluating design resources and their creative work.

• Department: Strategic Communication
• TR 6:10 p.m.-8 p.m.
• Instructor: Zachary T Pentel
  Info
• 3 points

MANAGING THE MISSION-BASED ORGANIZATION

• Department: Non Profit Management
• T 6:30 p.m.-8 p.m.
• Instructor: Carlos Ponce
  Info
• 3 points

TRANSFORMING TOTAL REWARDS

• Department: Human Capital Management
• T 8:10 p.m.-10 p.m.
• Instructor: Hassan Abdulhaqq
  Info
• 3 points

GLOBAL COMMUNICATION FOR PROFESSIONALS

GLOBAL COMM FOR PROFESSIONALS

• Department: Strategic Communication
• TWRFS 9 a.m.-5 p.m.
• Instructor: Kristine Billmyer
  Info
• 3 points

DIGITAL HR AND THE DIGITAL WORKPLACE

DIGITAL HR & DIGITAL WORK

• Department: Human Capital Management
• M 6:10 p.m.-8 p.m.
• Instructor: Nabeel Ahmad
  Info
• 3 points

The Sovereignty of Critique

This is a graduate-level, interdisciplinary survey of the literature of Critical Indigenous Studies.
Indigeneity is a condition that is attached to place and notions of time, but these are not
any
places, they are territories that have been targeted by others for possession, and this is not
any
time, this is time imagined to be in the past.  So to belong to those places in the present structures life, politics and effort in particular ways, as land, waters and other forms of liveleness have been pushed to an imagined past, in an ongoing taking of territory and resources.  Indigenous scholars, activists and memoirists provide an archive of this history of dispossession but one that is also countered by resistance and refusal to the push to disappear people from land and waters.  The intellectual and political work is rooted in questions of sovereignty, jurisdiction over territory and people, and deep textual and representional and political practices of critique. This intensive course is an advanced, interdisciplinary survey of the literature in Native American Studies that roots itself in key works that speak from that critique and history of dispossession. The syllabus is formed from some anthropological classics, Native and Indigenous Studies, memoir, political theory and poetry/critique. This course is open to graduate students and advanced undergraduates (thesis writers) with instructor permission only.

• Department: Summer Session (SUMM)
• T 4:10 p.m.-6 p.m.
• Instructor: Audra Simpson
  CULPA: 5 Wikipedia Info
• 4 points

LEADING CROSS CULTURAL GLOBAL ORGANIZATI

LDNG CROSS CULTURAL GLOBA

• Department: Human Capital Management
• T 6:10 p.m.-8 p.m.
• Instructor: Janet Walsh
  Info
• 3 points

LEADING CROSS CULTURAL GLOBAL ORGANIZATI

LDNG CROSS CULTURAL GLOBA

• Department: Human Capital Management
• T 6:10 p.m.-8 p.m.
• Instructor: Janet Walsh
  Info
• 3 points

RESEARCH DESIGN

• Department: Applied Analytics
• T 6:10 p.m.-8 p.m.
• Instructor: David Shilane
  Info
• 3 points

RESEARCH DESIGN

RESEARCH DESIGN ONLINE

• Department: Applied Analytics
• M 8:10 p.m.-10 p.m.
• Instructor: Natasa Rajicic
  Info
• 3 points

HISTORY OF BIOETHICS

• Department: Bioethics
• TR 1:30 p.m.-3 p.m.
• Instructor: Meghan L Crnic
  Info
• 3 points

PRACTICUM

• Department: Strategic Communication
• W 6:10 p.m.-8 p.m.
• 3 points

CAPSTONE SEMINAR

• Department: Human Capital Management
• T 8:30 p.m.-10 p.m.
• M 8:30 p.m.-10 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: Edna B Chun
  Info
• Instructor: Eduard Rivera
  h-index: 1 Info
• Instructor: Louis Scenti
  Info
• 3 points

Physical Assessment

PHYSICAL ASSESSMENT: LEC

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.

• Department: Nursing
• M noon-3 p.m.
• 3 points

Building Effective Knowledge Strategy fo

EFFECTIVE KNWLDGE STRAT &

This course has been designed for students looking to learn how to effectively consult with clients, peers, and others. This course is a guide for living in a time of free agency, outsourcing, and cross-functional work. Consulting skills are essential to design, recommend, implement, and sell your ideas and programs. The need for expertise goes far beyond having the best idea. It is knowing how to create an idea using a process that builds collaborative relationships and ensures successful adoption of your expertise.   Drawing on examples from a variety of organizations, this course will focus directly on strategies and tactics for designing services and products for organizations or institutions. The entire course and assignments will focus on working with a client to assess the environment, create a prioritized business case, and conclude with an implementation plan. Topics will include whole systems development, strategies for engagement, diagnosis to discovery, ethics and managing your consulting relationship, change management, and establishing yourself as a trusted advisor.   This is a hands-on course where students are expected to identify an existing consulting assignment (internal or external) that we will work throughout the class to help their client improve its effectiveness and competitiveness. Illustrative examples, case studies, interactive exercises, faculty expertise, and special guest leaders will be used to build your confidence and capability for consulting to clients.

• Department: Information & Knowledge Strat
• T 8 p.m.-10 p.m.
• Instructor: Edward J Hoffman
  Info
• 3 points

DIGITAL WORKPLACE AND DIGITAL TRANSFORMA

How do organizational leaders invest in digital technologies and capabilities to catalyze digital transformation? Moreover, how do corporations and institutions create an effective portfolio of digital investments that are aligned — continuously over time — with the organization’s mission and strategy? This course provides an introduction to digital transformation, and the modern (digital) “place” of work, such as intranets, search appliances, analytic dashboards, enterprise social media, mixed reality, and content management. Feeding the digital workplace are “sources of record,” including Enterprise Resource Planning (ERP), HR systems, Customer Relationship Management (CRM), IoT sensors, and digital marketing. Finally, we look at likely future scenarios for work and how organizations can prepare for digital transformation and beyond.

• Department: Information & Knowledge Strat
• R 8 p.m.-10 p.m.
• Instructor: Benjamin P Royce
  Info
• 1.5 points

NETWORKED WORK

For-profit and nonprofit organizations, alike, are embracing networks to share insights and data, act as a voting block, serve customers, foster pluralism, and innovate. For example, realtor COMPASS, the World Health Organization, the World Bank, and electric cooperatives are all leveraging networks. The ideas of “open” and “collective” are no longer seen as a rarified university experiment. Now these present a viable means for a growing number of purposes: get to market faster, thwart climate change, clean the oceans, and find cures to intractable diseases.   “Networked Work” presents the structure, impacts, and practical work of networks. There are many different forms of network, varying in size, shape and purpose. Yet there are some common practices and behavior models that trace their origins back to the science of the human brain, evolution and social and behavioral psychology. We will use the Knowledge Network Effectiveness Framework, a logic model flowing backwards from outcomes, to individual and social behavior, to dynamics, to design. Our lenses will also include social network analysis (SNA), complex spreading phenomena, behavioral insights, and cooperation. These lenses we bring to discuss practical cases in each of several network forms:  

social networks

communities of practice (or knowledge-networks),

open source,

open data, and

open innovation.

  Students will envision, diagnose and design networks for “cooperative advantage.” We will do that while considering that networks operate in the context of human bias, social influence, sustainability challenges, and technology advancement.

• Department: Information & Knowledge Strat
• R 7 p.m.-9 p.m.
• Instructor: Katrina Pugh
  h-index: 4 Info
• 3 points

SQL

SQL & RELATIONAL DB

• Department: Applied Analytics
• T 6:10 p.m.-8 p.m.
• Instructor: Day Yi
  Info
• 3 points

SQL

SQL & RELATIONAL DB ONLINE

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Darshan Desai
  Info
• 3 points

EMPIRICAL METHODS IN BIOETHICS

• Department: Bioethics
• TR 5:30 p.m.-7 p.m.
• Instructor: Nora Jacobson
  Info
• 3 points

STRATEGIC WORKFORCE PLANNING

• Department: Human Capital Management
• W 8:30 p.m.-10 p.m.
• Instructor: Mark S Baker
  Info
• 3 points

STRATEGIC RISK MANAGEMENT

STRAT RISK MGMT (ONLINE)

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• Instructor: Cecil R House
  Info
• 3 points

STRATEGIC RISK MANAGEMENT

STRATEGIC RISK MGMT

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• Instructor: Celia Kapsomera
  Info
• 3 points

NONPROFIT FINANCIAL MANAGEMENT

NONPROFIT FINANCIAL MGMT

This course provides a comprehensive set of financial management tools for nonprofit professionals, including managers and staff, whether they oversee financial statements and reporting or need to translate financial statements and reporting across stakeholders. This course emphasizes the requirements for nonprofits in recording and budgeting the financials to support the organization’s mission. Additionally, the course will provide students with the ability to analyze financial statements and answer financial questions typically asked by stakeholders such as the governing board, donors, the public, beneficiaries, media, and regulators. Finally, the course will identify the risks and opportunities found in an organization's financial information to increase the public's confidence in and understanding of the organization's mission and operations.

• Department: Non Profit Management
• R 6:10 p.m.-8 p.m.
• 3 points

BASKETBALL ANALYTICS

• Department: Sports Management
• T 6:10 p.m.-8 p.m.
• Instructor: Steven Angel
  Info
• 3 points

MACHINE LEARNING: CONCEPTS & APPLICATION

• Department: Applied Analytics
• M 8:10 p.m.-10 p.m.
• Instructor: Adrian Heilbut
  h-index: 13 Info
• 3 points

OPERATIONAL RISK MANAGEMENT

OPERATIONAL RISK MGMT (ONLINE)

• Department: Enterprise Risk Management
• W 8:10 p.m.-10 p.m.
• Instructor: Rossano Rossi
  Info
• 3 points

OPERATIONAL RISK MANAGEMENT

OPERATIONAL RISK MGMT

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• Instructor: Prasad Kodali
  Info
• 3 points

INCLUSIVE LEADERSHIP

This course seeks to introduce students to the latest theory, research and practice of “Inclusive Leadership,” an evolving framework, for understanding the role of people leaders, teams, and individual contributors in cultivating diverse, equitable, and inclusion environments in companies and organizations. This interactive, intensive course will leverage insights, research, and experiences of leading scholars and practitioners in the fields of leadership, diversity, and inclusion. The content covered is grounded in inclusive leadership development, diversity management, team effectiveness, organization development, and intergroup relations. Students will learn hands-on strategies for fostering inclusion at every level of the organization, and how and why it matters on the overall culture and climate of the organization in a systematic way. Class discussions, assignments, and readings will pose questions such as: How to foster a culture of inclusion? How do we know when inclusion is actually taking place?

• Department: Human Capital Management
• MTWRF 9 a.m.-5 p.m.
• Instructor: Cindy R Pace
  h-index: 1 Info
• 3 points

Behavioural Finance

• Department: Finance
• 3 points

NEUROSCIENCE & ETHICS

• Department: Bioethics
• MW 4:30 p.m.-6 p.m.
• 3 points

INTRO TO QUANTITATIVE RISK MANAGEMENT

INTRO TO QRM (ONLINE)

• Department: Enterprise Risk Management
• M 8:10 p.m.-10 p.m.
• Instructor: Michael Ding
  Info
• 3 points

INTRO TO QUANTITATIVE RISK MANAGEMENT

INTRO TO QUANT RISK MGMT

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• Instructor: David J Romoff
  Info
• 3 points

Physical Assessment: Lab

PHYSICAL ASSESSMENT: LAB

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.

• Department: Nursing
• Instructor: Karen S Desjardins
  Info
• 1 points

CODING FOR RISK MANAGEMENT

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• Instructor: Matthew Frank
  Info
• 3 points

ENVIRONMENTAL ETHICS

• Department: Bioethics
• TR noon-2 p.m.
• Instructor: Arthur Kuflik
  Info
• 3 points

FINANCIAL RISK MANAGEMENT

FINANCIAL RISK MGMT (ONLINE)

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• Instructor: Adam H Litke
  Info
• 3 points

FINANCIAL RISK MANAGEMENT

FINANCIAL RISK MGMT

• Department: Enterprise Risk Management
• W 8:10 p.m.-10 p.m.
• Instructor: Justin Hon
  Info
• 3 points

GRANT WRITING

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

• Department: Non Profit Management
• T 6:10 p.m.-8 p.m.
• Instructor: John Hicks
  Info
• 3 points

SUSTAINABILITY TECHNOLOGY AND THE EVOLUT

SUST TECH & EVOL OF SMART

• Department: Sustainability Management
• TR 5:10 p.m.-7 p.m.
• Instructor: Gregory J Falco
  Info
• 3 points

FRM PRACTICES

• Department: Enterprise Risk Management
• M 8:10 p.m.-10 p.m.
• Instructor: David J Romoff
  Info
• 3 points

FUNDRAISING FUNDAMENTALS FOR NONPROFITS

This course provides a comprehensive overview of fundraising and development in the nonprofit sector and introduces students to basic terminology and concepts in the field. The various fundraising vehicles are surveyed and participants learn to apply fundraising strategies as they balance individual donor and institutional needs. Relationship building, the solicitation process, the psychological dynamics and the realities of asking for money are examined as students refine their skills through analysis of case studies and participation in role playing exercises. A full array of written formats used by fundraising professionals including mission statements, grant proposals, acknowledgment letters, and campaign appeal materials are introduced. While students develop an understanding of the essentials of fundraising operations, they also examine the larger issues confronting today’s fundraising managers as well as explore the relationships between fundraisers and a nonprofit organization’s management structure and other stakeholders.

• Department: Non Profit Management
• T 6:30 p.m.-8 p.m.
• Instructor: Ramone Segree
  CULPA: 1 Info
• 3 points

Pharmacology

PHARMACOLOGY

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.

• Department: Nursing
• F 8 a.m.-11 a.m.
• Instructor: Sally W Aboelela
  CULPA: 5 Info
• 3 points

E-HEALTH, ETHICS, AND POLICY

• Department: Bioethics
• MW 7:30 p.m.-9 p.m.
• Instructor: Jared H Silberman
  Info
• 3 points

INTERNATIONAL SPORTS MANAGEMENT

• Department: Sports Management
• MW 4:10 p.m.-6 p.m.
• Instructor: Cataldo Ruta
  Info
• 3 points

CREDIT RISK MANAGEMENT

• Department: Enterprise Risk Management
• R 8:10 p.m.-10 p.m.
• Instructor: Rahmi E Aktug
  Info
• 3 points

CAPSTONE

Capstone projects afford a group of students the opportunity to undertake complex, real-world, client-based projects for nonprofit organizations, supervised by a Nonprofit Management program faculty member. Through the semester-long capstone project, students will experience the process of organizational assimilation and integration as they tackle a discrete management project of long or short-term benefit to the client organization. The larger theoretical issues that affect nonprofit managers and their relationships with other stakeholders, both internal and external, will also be discussed within the context of this project-based course.

• Department: Non Profit Management
• W 6:30 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Ali Webb
  Info
• Instructor: Thomas W Watson
  Info
• 3 points

SPORTS REVENUES STRATEGIES & ANALYSIS

Digital, social, and mobile media continue to heavily impact every aspect of sports business, often in profound and unanticipated ways, particularly in managing and optimizing revenue streams. All revenue line items are fully intertwined and integrated with each other, media, sponsorship, ticketing, hospitality, concessions and licensing, etc. Students of this course will learn to analyze and optimize the ecosystem of sports business including content rights, ticketing, sponsorship, merchandising, marketing, etc., as well as make business analytics decisions by leveraging business analytics software to run scenario analysis.

• Department: Sports Management
• R 6:10 p.m.-8 p.m.
• Instructor: Eric Sherman
  Info
• 3 points

MA Mentored Research

MA MENTORED RESEARCH

This course is intended to provide a mechanism to MA students in Statistics who undertake on-campus project work or research. The course may be signed up with a faculty member from the Department of Statistics for academic credit. Students seeking to enroll in the course should identify an on-campus project and a congenial faculty member whose research is appealing to them, and who are able to serve as their mentor. Students should then submit an application to enroll in this course, which will be reviewed and approved by the Faculty Director of the MA in Statistics program.

• Department: Statistics
• Instructor: Wayne Lee
  CULPA: 7 Info
• Instructor: Demissie Alemayehu
  h-index: 14 Info
• Instructor: Tian Zheng
  CULPA: 13 Wikipedia h-index: 25 Info
• 0-1 points

Statistical Fieldwork

Prerequisites: GR5203; GR5204 &GR5205 and at least 4 approved electives This course is an elective course for students in the M.A. in Statistics program that counts towards the degree requirements. To receive a grade and academic credits for this course, students are expected to engage in approved off-campus internships that can be counted as an elective. Statistical Fieldwork should provide students an opportunity to apply their statistical skills and gain practical knowledge on how statistics can be applied to solve real-world challenges.

• Department: Statistics
• Instructor: Demissie Alemayehu
  h-index: 14 Info
• 1 points

MANAGING DATA

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Amreeta Choudhury
  Info
• 3 points

MANAGING DATA

MANAGING DATA ONLINE

• Department: Applied Analytics
• M 8:10 p.m.-10 p.m.
• Instructor: Mohamed Mneimneh
  Info
• 3 points

Science of Nursing Practice

SCIENCE OF NURSING PRACTI

This fundamental course introduces students to core concepts of nursing science including taxonomy, philosophies of caring, nursing process, and evidence-based care. Concepts from the biological, physical, epidemiological, and behavioral sciences will be utilized as students begin the study of adults experiencing major biophysical health problems. The course is an introduction to the role of the professional nurse in medical/surgical nursing care of the adult client in context of populations.

• Department: Nursing
• M 8 a.m.-11 a.m.
• 3 points

MODERN DATABASE ARCHITECTURE

This course provides coverage of modern database architecture and how organizations extract, transform, and load data to set the foundation for deep analytics within their organization. Students will develop a broad understanding of cloud-based computing environments such as Amazon’s AWS and Microsoft’s Azure, MapReduce and data parallel applications using Hadoop, noSQL databases such as MongoDB. Students will learn how to develop a strong working knowledge of relational and non-relational databases, structured and unstructured data, as well as scalability and performance issues as they relate to modern applied analytics. Students will cover different types and scales of data and how to apply the best database framework for their organization’s analytic needs. The course will provide case studies from industry and students will apply their knowledge to architect real business solutions, not only the optimal architectural framework but the total costs, including hardware, software and human costs, to implement such a solution.

• Department: Technology Management
• S 12:15 p.m.-1:45 p.m.
• Instructor: Douglas M Scherer
  Info
• 3 points

Summer Internship in Climate and Society

SUMMER INTERN:CLIM & SOC

Prerequisites: enrollment in the M.A. Program in Climate and Society. During the third and final term of study for the 12-month M.A. Program in Climate and Society, students must complete either a thesis or internship and simultaneously enroll in EESC W4405. The summer internship requires a minimum of 140 hours of professional participation during the Summer Term in a position related to core issues of concern to the Program. The selected position must be approved by the Director of the M.A. Program by a specified date in the Spring Semester preceding the Summer Term. The position must be substantive in nature and must constitute a practical, professional experience. Students will be evaluated on the basis of oral and written updates on the work, a student internship report to be submitted at the end of the Summer Term, and on the basis of a supervisor report form to be submitted by the site supervisor for the internship.

• Department: Summer Session (SUMM)
• 6 points

CAPSTONE WORKSHOP IN CLIMATE AND SOCIETY

In this course, students will work jointly with a client organization in the climate and society field. Under the guidance of the instructors, they will take a short request from the organization for a specific product (data analysis, program development, curricular and training material, or other related items), develop a work plan, implement the work plan, and present the final product to the client. This course gives students direct experience in the co-production of knowledge in the climate and society field, a valuable skill in the contemporary world. It extends the training in the integration of natural science and social science that is a hallmark of the Climate + Society program. It includes training in the construction of a boundary object--a final product--conducted jointly with the client organization; this training includes instruction in project design, implementation and evaluation, and in communication between organizations.

• Department: Summer Session (SUMM)
• 6 points