LINEAR REGRESSION MODELS
Prerequisites: STAT GR5203 and GR5204 or the equivalent. Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
- Department: Statistics
- F 6:10 p.m.-8:55 p.m.
- MW 8:40 a.m.-9:55 a.m.
- MW 6:10 p.m.-7:25 p.m.
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Instructor:
Haiyuan Wang
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Instructor:
Yuqi Gu
h-index: 6 Info -
Instructor:
Gabriel Young
CULPA: 7 Info - 3 points
LINEAR REGRESSION MODELS
Prerequisites: STAT GR5203 and GR5204 or the equivalent. Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
- Department: Statistics
- MW 6:10 p.m.-7:25 p.m.
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Instructor:
Gabriel Young
CULPA: 7 Info - 3 points
GEOGRAPHIC INFORMATIONS SYSTEMS (GIS) FO
GEOGRAPHIC INFORMATION SYSTEMS
- Department: Sustainability Management
- W 6:10 p.m.-8 p.m.
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Instructor:
Carolynne Hultquist
Info - 3 points
STAT COMP & INTRO DATA SCIENCE
Corequisites: STAT GR5204 and GR5205 or the equivalent. 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: Statistics
- F 2:40 p.m.-5:25 p.m.
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Instructor:
Thibault Vatter
h-index: 8 Info - 3 points
STAT COMP & INTRO DATA SCIENCE
Corequisites: STAT GR5204 and GR5205 or the equivalent. 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: Statistics
- F 2:40 p.m.-5:25 p.m.
- F 10:10 a.m.-12:55 p.m.
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Instructor:
Thibault Vatter
h-index: 8 Info -
Instructor:
Gabriel Young
CULPA: 7 Info - 3 points
STAT COMP & INTRO DATA SCIENCE
Corequisites: STAT GR5204 and GR5205 or the equivalent. 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: Statistics
- F 10:10 a.m.-12:55 p.m.
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Instructor:
Gabriel Young
CULPA: 7 Info - 3 points
ELEMENTARY STOCHASTIC PROCESSE
Corequisites: GR5203 or the equivalent. Review of elements of probability theory. Poisson processes. Renewal theory. Walds equation. Introduction to discrete and continuous time Markov chains. Applications to queueing theory, inventory models, branching processes.
- Department: Statistics
- MW 11:40 a.m.-12:55 p.m.
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Instructor:
Anne Van Delft
CULPA: 2 h-index: 5 Info - 3 points
PYTHON FOR DATA ANALYSIS
- Department: Applied Analytics
- R 6:10 p.m.-8 p.m.
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Instructor:
Guilherme de Oliveira
Info - 3 points
PYTHON FOR DATA ANALYSIS
PYTHON FOR DATA ANALYSIS ONLNE
- Department: Applied Analytics
- T 8:10 p.m.-10 p.m.
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Instructor:
Max Vilenchik
Info - 3 points
COMMUNICATION AND GLOBAL BRANDS
COMMUNICATION & GLOBAL BR
- Department: Strategic Communication
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Instructor:
Cheryl Fenelle-Dixon
Info - 3 points
DIRECTING I
Students explore the grammatical rules and narrative elements of cinematic storytelling by completing a minimum of three short, nondialogue exercises and two sound exercises, all shot and edited in video. Emphasizes using the camera as an articulate narrator to tell a coherent, grammatically correct, engaging, and cinematic story. Technical workshops on camera, lighting, sound, and editing accompany the workshops, as well as lectures that provide a methodology for the director.
- Department: Film
- R 2 p.m.-5 p.m.
- R 6 p.m.-9 p.m.
- R 2 p.m.-5 p.m.
- R 6 p.m.-9 p.m.
- R 2 p.m.-5 p.m.
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Instructor:
Hilary Brougher
Wikipedia Info -
Instructor:
Rania Attieh
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Instructor:
Ramin Bahrani
Wikipedia Info -
Instructor:
Diana Peralta
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Instructor:
Bette Gordon
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Instructor:
Bogdan G Apetri
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Instructor:
George Sikharulidze
Info - 3 points
CONFLICT RESOLUTION AND DYNAMICAL SYSTEM
CONF RESOLUTION/DYNAMIC S
- Department: Negotiation & Conflict Resolution
- USU 9 a.m.-5 p.m.
- None None-None
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Instructor:
Beth Fisher-Yoshida
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Instructor:
Camilo Azcarate
Info - 3 points
MICROECONOMICS ANALYSIS I
- Department: Economics
- MW 8:40 a.m.-9:55 a.m.
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Instructor:
Wouter R Vergote
CULPA: 15 Info - 3 points
CONFLICT, SOCIAL NETWORKS AND COMMUNICAT
CONFL SOCIAL NETWKS/COMM
- Department: Auditing
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Instructor:
Ted Perlmutter
Info - 0 points
CONFLICT, SOCIAL NETWORKS AND COMMUNICAT
CONFL SOCIAL NETWKS/COMM
- Department: Negotiation & Conflict Resolution
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Instructor:
Ted Perlmutter
Info - 3 points
MACROECONOMICS ANALYSIS I
- Department: Economics
- TR 10:10 a.m.-11:25 a.m.
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Instructor:
Ronald Miller
CULPA: 4 Info - 3 points
ADVANCED MICROECONOMICS
- Department: Economics
- M 4:10 p.m.-6 p.m.
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Instructor:
Bernard Salanie
CULPA: 18 Wikipedia h-index: 40 Info - 3 points
ADVANCED MACROECONOMICS
- Department: Economics
- T 2:10 p.m.-4 p.m.
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Instructor:
Irasema Alonso
CULPA: 12 Info - 3 points
FOUNDATIONS OF SPORTS MANAGEMENT
FOUNDATIONS OF SPORTS MGMT
- Department: Sports Management
- M 6:10 p.m.-8 p.m.
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Instructor:
Christopher Lencheski
Info - 3 points
FOUNDATIONS OF SPORTS MANAGEMENT
FOUNDATIONS OF SPORTS MGM
- Department: Sports Management
- W 2:10 p.m.-4 p.m.
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Instructor:
Portia Fultz Archer
Info - 3 points
FOUNDATIONS OF SPORTS MANAGEMENT
FOUNDATIONS OF SPORTS MGMT
- Department: Sports Management
- T 2:10 p.m.-4 p.m.
- T 6:10 p.m.-8 p.m.
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Instructor:
Scott Rosner
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Instructor:
Michael Dittelman
Info - 3 points
TIME SERIES ANALYSIS
Prerequisites: STAT GR5205 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: Statistics
- MW 1:10 p.m.-2:25 p.m.
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Instructor:
Rongning Wu
CULPA: 1 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: Statistics
- MW 6:10 p.m.-7:25 p.m.
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Instructor:
Ronald Neath
CULPA: 13
Info
- 3 points
DIRECTING ACTORS I
A workshop in which the student explores the craft and vocabulary of the actor through exercises and scene study as actors and the incorporation of the actor's vocabulary in directed scenes. Exploration of script analysis, casting, and the rehearsal process.
- Department: Film
- T 6 p.m.-9 p.m.
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Instructor:
John Rubin
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Instructor:
Mikael Sodersten
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Instructor:
Jodie Markell
Wikipedia Info -
Instructor:
Shira-Lee Shalit
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Instructor:
Patricia Golden
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Instructor:
June Stein
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Instructor:
Adrienne Weiss
Info - 3 points
ADVOCACY & ORGANIZING
Our interpersonal experiences and the personal identities we hold both shape and contribute to our individual concepts of health, as well as to our awareness of the beliefs and identities held by others. This course examines how various marginalized groups have historically organized and advocated to bring about change in communities impacted by health disparities and social injustice. How can understanding their stories and the strategies they've implemented to construct, share, and collect their narratives, inform health professionals and their allies in developing new and innovative approaches to hear, interpret, and respond to the needs of the communities they are charged with serving? At a time when a renewed focus is being placed on health equity, social justice, race, bias, resource distribution, and access, it is imperative to look more closely at the experiences of communities and the individuals within them who have been placed at greater vulnerability. With an attentiveness to intersectionality, critical race theory, and media studies, course materials will guide an exploration of narrative and its relationship to activism, advocacy, and messaging around community health.
- Department: Narrative Medicine
- T 12:10 p.m.-2 p.m.
- 3 points
INNOVATIONS IN PHILANTHROPY
- Department: Non Profit Management
- W 6:10 p.m.-8 p.m.
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Instructor:
Richard T Feiner
Info - 3 points
ATHLETE ACTIVISM & SOCL JUSTICE IN SPRTS
- Department: Sports Management
- M 12:10 p.m.-2 p.m.
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Instructor:
Leonard Elmore
Info - 3 points
THE EARTH'S CLIMATE SYSTEM
- Department: Sustainability Management
- T 4:10 p.m.-6 p.m.
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Instructor:
Benjamin I Cook
CULPA: 3 h-index: 56 Info - 3 points
DIVERSITY, EQUITY & INCLUSION IN PHILANT
DIV, EQUITY & INCLUSN IN
Diversity, equity, and inclusion (DEI) is an increasingly salient practice in the charitable sector. Done well, DEI practice – such as more diverse recruitment policies, more inclusive organizational culture, and greater attention to the equitable distribution of programmatic outcomes – helps nonprofit and foundation managers and leaders attract and retain talent, improve programmatic outcomes, and lend greater credibility to the work of the charitable sector. The need for such practice is evident: most nonprofits and foundations are not representative of the communities they serve; the accumulation of wealth that enables large private foundations to exist exacerbates the very issues they may seek to combat; and in seeking to help those affected by inequality, nonprofits and foundations may reproduce the same patterns of inequality within their own organizations. Despite the growing need for effective DEI practice, much of the knowledge of it is diffuse and disconnected. At times, practitioners can’t even agree on the basic terms. Yet in this disagreement lies a clue: pursued deeply, a DEI analysis leads one to conclude that mainstream institutions, and the broader society of which they are a part, are ultimately designed to make DEI difficult to understand, much less enact. This means that DEI practice eventually names and pushes back on the very power relations and institutional dynamics that surround us in the charitable sector and make our work possible. To reckon fully with DEI means to question the very assumptions and relationships on which our sector is based. This course aims to equip students with critical faculties and practical tools to be informed and ethical practitioners of DEI in the charitable sector while remaining alive to the tensions between DEI and current sector practice.
- Department: Non Profit Management
- M 6:30 p.m.-8 p.m.
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Instructor:
Vernetta L Walker
Info - 3 points
ADVANCED MACHINE LEARNING
Prerequisites: STAT GR5241 This course covers some advanced topics in machine learning and has an emphasis on applications to real world data. A major part of this course is a course project which consists of an in-class presentation and a written project report.
- Department: Statistics
- TR 10:10 a.m.-11:25 a.m.
- 3 points
APPLIED DATA SCIENCE
Prerequisites: Pre-requisite for this course includes working knowledge in Statistics and Probability, data mining, statistical modeling and machine learning. Prior programming experience in R or Python is required. This course will incorporate knowledge and skills covered in a statistical curriculum with topics and projects in data science. Programming will covered using existing tools in R. Computing best practices will be taught using test-driven development, version control, and collaboration. Students finish the class with a portfolio of projects, and deeper understanding of several core statistical/machine-learning algorithms. Short project cycles throughout the semester provide students extensive hands-on experience with various data-driven applications.
- Department: Statistics
- W 6:10 p.m.-8:55 p.m.
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Instructor:
Ying Liu
CULPA: 2 h-index: 12 Info - 3 points
Introduction to TensorFlow with Python
Intro. TensorFlow with Py
This course is an optional companion lab course for GR5242 Advanced Machine Learning. The aim of this course is to help students acquire the basic computational skills in Tensorflow and Python to implement machine learning models. Lab class materials will be aligned closely with the topics covered in GR5242. Google Colab and Jupyter notebooks will be used as the main tools for the hands-on lab exercises. Open to GR5242 students only.
Prerequisites
Some familiarity with python is assumed, but we will begin the class with a tutorial on 'Python for machine learning'.
EXTERNAL STAKEHOLDER REQUIREMENTS
EXT STAKEHOLDER REQ (ONLINE)
- Department: Enterprise Risk Management
- M 8:10 p.m.-10 p.m.
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Instructor:
Guoqiang Li
Info - 3 points
EXTERNAL STAKEHOLDER REQUIREMENTS
- Department: Enterprise Risk Management
- T 8:10 p.m.-10 p.m.
- R 6:10 p.m.-8 p.m.
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Instructor:
R S Forston
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Instructor:
Alan Cheung
h-index: 5 Info - 3 points
FUNDAMENTALS OF EDITING
This online class explores the creative and narrative principals of editing through the editing of students' 8-12 minute films and / or other footage. Instructors are professional editors who will provide lecture and individual based instruction.
- Department: Film
- R 10 a.m.-1 p.m.
- W 6 p.m.-9 p.m.
- F 10 a.m.-1 p.m.
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Instructor:
John D Allen
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Instructor:
Keith Reamer
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Instructor:
David G Gutnik
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Instructor:
Madeleine Gavin
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Instructor:
John Lyons
Info - 1.5 points
FOUNDATIONS OF LABOR & EMPLOYMENT LAW
- Department: Human Capital Management
- T 8:10 p.m.-10 p.m.
- M 6:30 p.m.-8 p.m.
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Instructor:
Jerry Cutler
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Instructor:
Lori B Rassas
Info - 3 points
CONFLICT RESOLUTION FIELDWORK
NECR FIELDWORK
- Department: Negotiation & Conflict Resolution
- SU 10 a.m.-12:15 p.m.
- S 9 a.m.-5 p.m.
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Instructor:
Nikolas Katsimpras
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Instructor:
Jenny Besch
Info - 1 points
DATA ANALYTICS/METRICS IN THE NONPROFIT
DATA ANLTCS/METRICS IN NONPRFT
Data Analytics
- Department: Non Profit Management
- T 6:30 p.m.-8 p.m.
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Instructor:
Annie Rhodes
Info - 3 points
DATA ANALYTICS/METRICS IN THE NONPROFIT
Data Analytics
- Department: Non Profit Management
- W 6:10 p.m.-8 p.m.
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Instructor:
James W Lauckhardt
Info - 3 points
BUILDING RESILIENCE IN 21ST CENTURY DETR
BLDG RESILIENCE IN DETROI
Detroit is well-recognized as the Blackest big city in America within one of the most segregated metropolitan areas. This preeminence collapsed over the span of the past 40 years under the weight of racist public policy, public and private malfeasance, financial disinvestment, and the temporary usurpation of Black political power. In an effort to better understand current conflicts between Black citizens and their government, this class will examine the role of race in public policy formation, institutional systems, and government. We will examine the thesis that sustainability and racism cannot co-exist; that sustainability is rooted in inclusive social well-being now and in future generations, whereas racism is rooted in hoarding of power and resources for one dominant group. We will explore grass-roots efforts to address root causes, community development efforts to build sustainable communities, and alternative approaches to restructuring local economies.
- Department: Sustainability Management
- M 6:10 p.m.-8 p.m.
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Instructor:
Donna Givens Davidson
Info - 3 points
CRAFTING THE LANGUAGE OF NONPROFIT LEADE
CRAFTNG LANG OF NONPRFT L
Whether through a speech to key donors, a published op-ed column, an annual report or media interview, leaders of nonprofit organizations must be compelling storytellers. Although other courses in the Nonprofit Management M.S. program helpfully concentrate on the strategy and tactics of communications outreach and social media engagement, the intensive focus of this elective will be on developing students’ capacity for literate writing and speaking across a range of public forums and institutional challenges that face nonprofit organizations. Through a combination of readings, discussion and, most importantly, a diverse range of writing assignments and creative exercises, students will emerge with a new level of editorial proficiency in creating the kind of written and spoken communications that support a nonprofit’s development, promote its public service mission, and manage difficult political, legal and institutional issues that distract organizations from achieving their mission-driven goals. Students will learn best practices for crafting persuasive communications in an increasingly complex and time-sensitive media environment.
- Department: Non Profit Management
- T 6:10 p.m.-8 p.m.
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Instructor:
David Stone
Wikipedia Info - 3 points
DATA ANALYSIS AND VISUALIZATION IN SUSTA
DATA ANALYSIS & VIS SUST
- Department: Sustainability Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Gregory G Yetman
Info - 3 points
VALUE OF BRAND
VALUE OF BRAND:MAKNG-BUSI
This course introduces students to the economic importance of brand building activities based on the proven link between brand equity and business performance. Students examine the role that strategy and communication play in building brand equity, and explore how the changing media landscape is causing companies to rethink traditional brand-building practices. Students will use critical thinking, case-analysis, market research, and strategic presentations to persuade a business decision maker to invest in brand building efforts. For students who are interested in building stronger brand cultures within their organizations (for both the profit and nonprofit sectors) and/or for pursuing careers on the brand side of strategy, this course answers the question: Why should businesses and institutions care about branding?
- Department: Strategic Communication
- W 8:10 p.m.-10 p.m.
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Instructor:
Kristen J Campolattaro
Info - 3 points
ORGANIZATIONAL STRATEGY AND LEARNING
ORG STRAT AND LEARNING
- Department: Human Capital Management
- T 6:10 p.m.-8 p.m.
- M 8:30 p.m.-10 p.m.
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Instructor:
Nabeel Ahmad
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Instructor:
Sara Daly-Padron
Info - 3 points
CORPORATE, PRIVATE, COMMUNTY FOUNDATIONS
CORP PRIV COMM FOUNDATIONS
- Department: Non Profit Management
- W 6:30 p.m.-8 p.m.
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Instructor:
John Tyler
h-index: 3 Info - 3 points
STATISTICAL METHODS IN FINANCE
Prerequisites: STAT GR5204 or the equivalent. STAT GR5205 is recommended. 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: Statistics
- F 10:10 a.m.-12:40 p.m.
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Instructor:
Hammou El Barmi
CULPA: 8
Info
- 3 points
STAT INF/TIME-SERIES MODELLING
Prerequisites: STAT GR5205 or the equivalent. Available to SSP, SMP Modeling and inference for random processes, from natural sciences to finance and economics. ARMA, ARCH, GARCH and nonlinear models, parameter estimation, prediction and filtering.
- Department: Statistics
- TR 6:10 p.m.-7:25 p.m.
- S 10:10 a.m.-12:40 p.m.
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Instructor:
Li Haoran
Info - 3 points
STOCHASTC PROCSSES-APPLICTNS I
Prerequisites: STAT GR5203 or the equivalent. Basics of continuous-time stochastic processes. Wiener processes. Stochastic integrals. Ito's formula, stochastic calculus. Stochastic exponentials and Girsanov's theorem. Gaussian processes. Stochastic differential equations. Additional topics as time permits.
- Department: Statistics
- MW 4:10 p.m.-5:25 p.m.
- MW 6:10 p.m.-7:25 p.m.
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Instructor:
Johannes Wiesel
h-index: 6 Info -
Instructor:
Lars T Nielsen
h-index: 17 Info - 3 points
MANAGING THE MISSION-BASED ORGANIZATION
- Department: Non Profit Management
- T 6:30 p.m.-8 p.m.
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Instructor:
Timothy Higdon
Info - 3 points
CONTENT STRATEGY
Sitting at the intersection of business strategy, digital development, user experience, communication, and publishing, content strategy has emerged over the last few years as a discipline examining the purpose behind content (in all manifestations) and how it supports business, organizational, and user goals. While it originated in digital web design and user experience, content strategy now encompasses a much broader set of considerations and addresses content creation, distribution, and governance across multiple channels, especially the interplay among digital, social, and traditional media. Content strategy provides a holistic approach for unlocking the value behind content and for increasing its effectiveness in achieving business and organizational objectives. This course will present the fundamentals of content strategy and explore the discipline’s approaches, techniques, and tools that course participants can apply directly to the content situation in their own organization. It will draw parallels with – and highlight distinctions among – traditional communication strategy, publishing, and content strategy, and provide students with a framework to create a sustainable program grounded in meaningful, actionable content.
- Department: Strategic Communication
- M 6:10 p.m.-8 p.m.
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Instructor:
Jenny M Fernandez
Info - 3 points
CONTENT STRATEGY
Sitting at the intersection of business strategy, digital development, user experience, communication, and publishing, content strategy has emerged over the last few years as a discipline examining the purpose behind content (in all manifestations) and how it supports business, organizational, and user goals. While it originated in digital web design and user experience, content strategy now encompasses a much broader set of considerations and addresses content creation, distribution, and governance across multiple channels, especially the interplay among digital, social, and traditional media. Content strategy provides a holistic approach for unlocking the value behind content and for increasing its effectiveness in achieving business and organizational objectives. This course will present the fundamentals of content strategy and explore the discipline’s approaches, techniques, and tools that course participants can apply directly to the content situation in their own organization. It will draw parallels with – and highlight distinctions among – traditional communication strategy, publishing, and content strategy, and provide students with a framework to create a sustainable program grounded in meaningful, actionable content.
- Department: Strategic Communication
- M 6:10 p.m.-8 p.m.
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Instructor:
Jenny M Fernandez
Info - 3 points
TRANSFORMING TOTAL REWARDS
- Department: Human Capital Management
- W 8:10 p.m.-10 p.m.
- M 8:10 p.m.-10 p.m.
- T 6:30 p.m.-8 p.m.
- W 6:30 p.m.-8 p.m.
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Instructor:
Hassan Abdulhaqq
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Instructor:
Lisa Hunter
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Instructor:
Edna B Chun
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Instructor:
Lee Miller
Wikipedia Info - 3 points
MANAGING DIVERGING STAKEHOLDER INTERESTS
RESPONSE TO CLIMATE CHANG
This course will explore ways in which a changing climate drives divergent, often conflicting, responses from different segments of society: distinct economic classes, industries, communities, countries, etc. This course takes a case study approach, looking at how specific socio-economic impacts of global warming are changing alignments and/or deepening stakeholder entrenchment. It has become common to say that “society lacks political will” to implement effective climate policy; but a closer look indicates that it might be more accurate to say that strong, but conflicting, interests delay action. Further, when the costs of climate change and other environmental risks accrue to one social group while the benefits of new opportunities to another, regulatory policy can be badly distorted. To address this set of problems students will start with science-based projections of change in the Arctic and North America, and will look at how different stakeholders have already responded to change. The course will include a segment on modeling stakeholder conflict. Several types of models will be described and students will have access to a version of the Human and Nature Dynamics (HANDY) model that has been modified to include delays in policy implementation. The HANDY model runs quickly enough to try out scenarios in class to test possible impacts of conflict and delay on environmental sustainability.
- Department: Sustainability Technology
- W 6:10 p.m.-8 p.m.
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Instructor:
Robert Newton
h-index: 9 Info - 3 points
DIGITAL HR AND THE DIGITAL WORKPLACE
DIGITAL HR & DIGITAL WORK
- Department: Human Capital Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Ashley K Buonasera
Info - 3 points
CAPITAL MARKETS & INVESTMENTS
Risk/return tradeoff, diversification and their role in the modern portfolio theory, their consequences for asset allocation, portfilio optimization. Capitol Asset Pricing Model, Modern Portfolio Theory, Factor Models, Equities Valuation, definition and treatment of futures, options and fixed income securities will be covered.
- Department: Mathematics
- S 7 p.m.-9:20 p.m.
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Instructor:
Alexei Chekhlov
CULPA: 3
h-index: 10
Info
- 3 points
ROLE & UNIQUE NATURE OF NONPROFIT SECTOR
ROLE & UNIQUE NATURE OF NONPRF
- Department: Non Profit Management
- M 2:10 p.m.-4 p.m.
- W 6:10 p.m.-8 p.m.
- T 6:30 p.m.-8 p.m.
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Instructor:
Gregory Witkowski
Info - 3 points
ADVANCED DATA ANALYSIS
Prerequisites: W4315 and either another statistics course numbered above the 4200 or permission of instructor. Required for the major in statistics. Data analysis using a computer statistical package and selected exploratory data analysis subroutines. Topics include editing of data for errors, exploratory and standard techniques for one-way analysis of variance, linear regression, and two-way analysis of variance. Material is presented in case-study format.
- Department: Statistics
- F 6:10 p.m.-8:55 p.m.
- 3 points
TOPICS IN MODERN STATISTICS
APP MACHINE LRNING IMAGE ANALY
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
- Department: Statistics
- W 7 p.m.-9:30 p.m.
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Instructor:
Xiaofu He
h-index: 21 Info - 3 points
TOPICS IN MODERN STATISTICS
INTRO TO PROB GRAPHICAL MODELS
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
- Department: Statistics
- M 7 p.m.-9:30 p.m.
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Instructor:
Ori Shental
Info - 3 points
TOPICS IN MODERN STATISTICS
INTRO TO PROB GRAPHICAL MODELS
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
- Department: Statistics
- M 7 p.m.-9:30 p.m.
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Instructor:
Ori Shental
Info - 3 points
TOPICS IN MODERN STATISTICS
DATA SCI - CLINCAL DECSN MAKNG
Topics in Modern Statistics will provide MA Statistics students with an opportunity to study a specialized area of statistics in more depth and to meet the educational needs of a rapidly growing field.
- Department: Statistics
- M 2:40 p.m.-3:55 p.m.
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Instructor:
Katharina Schultebraucks
h-index: 13 Info - 1 points
Muslims in early modern Europe: East Cen
Muslims early mod EC Euro
This seminar is an invitation to go beyond the traditional, simplistic and misleading distinction established since the 19th century between “Europe” and “Islam”. It keeps a good distance from the major national and radical narratives, and it invites us to reinterpret the history of East Central Europe, and more broadly the history of Europe, through the light of the social life of Muslims in the early modern period. From Sofia to Munich and from Sarajevo to Vilnius, free or enslaved, Muslims constituted a culturally-, linguistically-, gender-, economically-, socially- and ethnically-dynamic and diverse population. They lived beyond the borders of the multiple states in which they were born, settled, worked, and operated. They were nothing but integrally part of early modern European society. We will specifically focus on early modern Est Central Europe: a lively contact zone between the
dâr al-islâm
and the
dâr al-harb
, but also what Braham Stoker referred to as “the whirlpool of European races”. Thus, in this seminar, we will address several historiographical and methodological issues such as: how could we explain that the history of Muslims has been under-researched in European history? From what materials can we explore the social life of Muslims, especially in early modern East Central Europe? With what methods? How can this history contribute to the history of race, migration, and empire and to get a better understanding of the social fabric of a more and more diverse society through history?
- Department: History
- T 4:10 p.m.-6 p.m.
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Instructor:
David Do Paco
Info - 4 points
RESEARCH DESIGN
- Department: Applied Analytics
- T 6:10 p.m.-8 p.m.
- T 8:10 p.m.-10 p.m.
- W 6:10 p.m.-8 p.m.
- F 12:10 p.m.-2 p.m.
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Instructor:
Laura A Sywulak
Info -
Instructor:
Bisakha Peskin
Info -
Instructor:
Scott A Spencer
Info -
Instructor:
Robert E Harlow
Info - 3 points