APPLIED ANALYTICS FRAMEWORKS & METHDS II
APP AN FRAMEWORKS & METHODS II
- Department: Applied Analytics
- R 8:10 p.m.-10 p.m.
- T 8:10 p.m.-10 p.m.
- W 8:10 p.m.-10 p.m.
- W 6:10 p.m.-8 p.m.
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Instructor:
Adrian Heilbut
h-index: 13 Info -
Instructor:
Joseph Egbulefu
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Instructor:
Guilherme de Oliveira
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Instructor:
Birol Emir
CULPA: 14 Info - 3 points
ADVANCED NEGOTIATION
- Department: Negotiation & Conflict Resolution
- R 6:10 p.m.-8 p.m.
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Instructor:
Yelena Naginsky
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 7:40 p.m.-8:55 p.m.
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Instructor:
Irene Hueter
CULPA: 9 Info - 3 points
STAT COMP & INTRO DATA SCIENCE
STAT COMP & INTRO TO DATA SCI
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.
Foundations of Clinical Medicine: Tutori
FNDATION CLINICAL MED: TU
- Department: Medicine
- 0 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
- TR 6:10 p.m.-7:25 p.m.
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Instructor:
Anne Van Delft
CULPA: 2 h-index: 5 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
PYTHON FOR DATA ANALYSIS
- Department: Applied Analytics
- S 12:10 p.m.-2 p.m.
- W 6:10 p.m.-8 p.m.
- M 8:10 p.m.-10 p.m.
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Instructor:
Helga Hartelt Baez
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Instructor:
Guilherme de Oliveira
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Instructor:
Alexander Clark
Info - 3 points
CONFLICT RESOLUTION AND DYNAMICAL SYSTEM
CONF RESLTN & DYNAMICAL SYSTMS
- Department: Negotiation & Conflict Resolution
- USUS 9 a.m.-5 p.m.
- 3 points
DISASTER PHILANTHROPY
This course analyzes the ways in which philanthropists and nonprofit organizations plan for and respond to disasters. Disasters create immense need quickly. People have responded generously to many natural and human-created disasters that have led to thousands of victims either domestically or globally. The nonprofit sector has often played a leading role, functioning both on the front-lines with first responders and creating a second response that bridges the period of relief and rebuilding. New technologies have often been deployed to improve fundraising as well as disaster relief. Disasters create both a sense of community born of the common experience of suffering and exacerbate differences within communities as those of lowest means struggle the most to recover. Disaster relief and recovery is ripe with questions about who to help and how to best help, presenting ethical dilemmas for the best intentioned of nonprofit leaders. The course will focus on the United States but both readings and assignments include some international comparisons.
- Department: Non Profit Management
- T 6:30 p.m.-8 p.m.
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Instructor:
Gregory Witkowski
Info - 3 points
SOLID WASTE MANAGEMENT
- Department: Sustainability Management
- R 6:10 p.m.-8 p.m.
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Instructor:
Haralambos Vasiliadis
Info - 3 points
MICROECONOMIC ANALYSIS II
- Department: Economics
- TR 8:40 a.m.-9:55 a.m.
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Instructor:
Guillaume Haeringer
CULPA: 2 Info - 3 points
Histoire de l'art m di val
- Department: French
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Instructor:
Christine Valero
Info - 3 points
MACROECONOMCS ANALYSIS II
- Department: Economics
- MW 4:10 p.m.-5:25 p.m.
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Instructor:
Irasema Alonso
CULPA: 12 Info - 3 points
DIRECTING II
- Department: Film
- T 10 a.m.-1 p.m.
- W 2 p.m.-5 p.m.
- T 2 p.m.-5 p.m.
- W 6 p.m.-9 p.m.
- T 2 p.m.-5 p.m.
- T 10 a.m.-1 p.m.
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Instructor:
Hilary Brougher
Wikipedia Info - 3 points
Islamic Thought in an Age of Print
Islamic Thought-Age of Pr
This course studies the development of Islamic thought in an age of print. It documents the rise of different religious movements in the Islamic world, ranging from Cairo, Morocco, and Istanbul to India through an analysis of writings and ideas produced by religious figures, bureaucrats, editors, muftis, and polemicists. Particular attention is paid to the relationship between technology (print) and intellectual history between the 18th and 20th centuries. Students will be taught to read and analyze materials from different disciplinary perspectives. Religious treatises, memoirs, chronicles, legal opinions, and works on urban topography are all deployed in this course to introduce students to interpreting a wide set of materials when examining modern Islamic thought. Furthermore, Islamic thought is defined beyond the borders of the Middle East, prompting students to think of the transnational and interconnected nature of ideas and networks.
- Department: Middle Eastern, South Asian and African Studies
- T 4:10 p.m.-6 p.m.
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Instructor:
Ahmad Khan
Info - 4 points
NARRATIVE,HEALTH & SOC JUSTICE
Narrative medicine, its practice and scholarship, is necessarily concerned with issues of trauma, body, memory, voice, and inter-subjectivity. However, to grapple with these issues, we must locate them in their social, cultural, political, and historical contexts. Narrative understanding helps unpack the complex power relations between North and South, state and worker, disabled body and able body, bread-earner and child-bearer, as well as self and the other (or, even,
selves
and
others
). If disease, violence, terror, war, poverty, and oppression manifest themselves narratively, then resistance, justice, healing, activism, and collectivity can equally be products of a narrative-based approach to ourselves and the world. This course explores the connections between narrative, health, and social justice. In doing so, it broadens the mandate of narrative medicine, challenging each of us to bring a critical, self-reflective eye to our scholarship, teaching, practice, and organizing. How are the stories we tell, and are told, manifestations of social injustice? How can we transform such stories into narratives of justice, health, and change?
- Department: Narrative Medicine
- W 10:10 a.m.-noon
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Instructor:
Sayantani T Dasgupta
CULPA: 2 Info - 3 points
FOUNDATIONS OF SPORTS MANAGEMENT
FOUNDATIONS OF SPORTS MGM
- Department: Sports Management
- W 6:10 p.m.-8 p.m.
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Instructor:
Sarbjit Singh
Info - 3 points
Th ories critique et praxis au XXI me
- Department: French
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Instructor:
Christine Valero
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
- TR 6:10 p.m.-7:25 p.m.
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Instructor:
Gabriel Young
CULPA: 7 Info - 3 points
NONPARAMETRIC STATISTICS
Prerequisites: STAT GR5205 Statistical inference without parametric model assumption. Hypothesis testing using ranks, permutations, and order statistics. Nonparametric analogs of analysis of variance. Non-parametric regression, smoothing and model selection.
- Department: Statistics
- MW 1:10 p.m.-2:25 p.m.
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Instructor:
Arian Maleki
h-index: 31 Info - 3 points
MULTIVARIATE STAT INFERENCE
Prerequisites: STAT GR5205. Multivariate normal distribution, multivariate regression and classification; canonical correlation; graphical models and Bayesian networks; principal components and other models for factor analysis; SVD; discriminant analysis; cluster analysis.
- Department: Statistics
- TR 8:40 a.m.-9:55 a.m.
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Instructor:
Ronald Neath
CULPA: 13
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
- TR 6:10 p.m.-7:25 p.m.
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Instructor:
Ronald Neath
CULPA: 13
Info
- 3 points
F minit et animalit dans les contes
- Department: French
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Instructor:
Christine Valero
Info - 3 points
Modernites litteraires XiX e siecle
- Department: French
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Instructor:
Christine Valero
Info - 3 points
CHANGE MANAGEMENT
Change is a necessary and constant part of any organization. The change may be expected, or it may be in reaction to unanticipated external and/or internal factors. In fact, organizations that do not change do not last. Change initiatives can be exceedingly complex and disorienting, however. The success of a given changeinitiative often rests on the clarity of vision of an organization’s leaders; an accurate and sensitiveunderstanding of the organization’s culture; the involvement, input and buy-in of multiple internal andexternal stakeholders to the change objectives and process; leaders’ ability to leverage technology tocommunicate and drive change; and an organization’s analytical capabilities to document and measureprogress, and continue to iterate and improve. In light of these requirements, this course seeks to ask: What is the role of the HCM leader in facilitatingchange within an organization? The aims of this course are not abstract. This course will help studentsdevelop skills to support actual organizations (their own and/or others) through change. Lectures, readings,videos, in-class and asynchronous discussions, and assignments will all focus on the practical application ofchange theory and empirical research to real-world organizational contexts. This course is an advanced elective within the Master of Science in Human Capital Management program.Prerequisites include “HCMPS5100: Introduction to Human Capital Management,” and “HCMPS5150:Integrated Talent Management Strategies.” Some familiarity with people analytics and digital approaches toHuman Capital Management will also be helpful.
- Department: Human Capital Management
- W 8:30 p.m.-10 p.m.
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Instructor:
Laura Dannels
Info - 3 points
THE EARTH'S CLIMATE SYSTEM
- Department: Sustainability Management
- T 4 p.m.-6 p.m.
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Instructor:
Benjamin I Cook
CULPA: 3 h-index: 56 Info - 3 points
GENERALIZED LINEAR MODELS
Prerequisites: STAT GR5205 Statistical methods for rates and proportions, ordered and nominal categorical responses, contingency tables, odds-ratios, exact inference, logistic regression, Poisson regression, generalized linear models.
- Department: Statistics
- MW 7:40 p.m.-8:55 p.m.
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Instructor:
Michael Sobel
CULPA: 5 Wikipedia h-index: 35 Info - 3 points
SAMPLE SURVEYS
Prerequisites: STAT GR5204 Introductory course on the design and analysis of sample surveys. How sample surveys are conducted, why the designs are used, how to analyze survey results, and how to derive from first principles the standard results and their generalizations. Examples from public health, social work, opinion polling, and other topics of interest.
- Department: Statistics
- MW 2:40 p.m.-3:55 p.m.
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Instructor:
Rongning Wu
CULPA: 1 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
- T 4:10 p.m.-6 p.m.
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Instructor:
Erwin Vincent de Leon
Info - 3 points
DIRECTING ACTORS II
- Department: Film
- T 2 p.m.-5 p.m.
- M 2 p.m.-5 p.m.
- W 2 p.m.-5 p.m.
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Instructor:
Harris Doran
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Instructor:
Shira-Lee Shalit
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Instructor:
June Stein
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Instructor:
Lisa Milinazzo
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Instructor:
Abigail Zealey Bess
Info - 3 points
Narrative Therapy
Whether alone with ourselves, or in close relationships with important people in our lives, dominant narratives shape our encounters by bringing certain aspects of our experience to the fore and marginalizing others. Narrative Therapy is a school of thought developed by Michael White, the Australian psychotherapist and social activist. Influenced by Social Constructionism and the writings of Michel Foucault (among others), White sought to understand the ways in which systems of power and control on the societal level shape our most intimate experiences. There is a price we pay for the hegemony of dominant narratives (as Foucault would say) as other aspects of our experience become marginalized and pushed out of awareness in this process. But by analyzing the dynamics by which certain narratives come to hold sway over us, and by considering what goes missing from our experience, Narrative Therapy seeks to undo this price by re-evaluating the stories we live by so that they can be more expansive and less limiting. In this course we will look at the basic concepts and theoretical underpinnings of Narrative Therapy, and then begin to understand the essential techniques and areas of application of this important therapeutic school. This course does not train students to practice therapy. Our emphasis instead will be on developing ideas for ways in which the concepts and techniques introduced by Narrative Therapy can inform the practice of Narrative Medicine. Questions we will address include:
● What can we learn from Narrative Therapy about the ways people structure stories about themselves, and how does this affect their relationship with their bodies, with illness and their conceptions of healing?
● What are the mechanisms by which dominant narratives from the social sphere are integrated into an individual’s self concept, and how does this then influence power relations in the clinical encounter?
● Theorists within Narrative Therapy strive to foster a non-hierarchical, non-expert stance in the clinical encounter. What are the possibilities and the challenges inherent in maintaining this?
- Department: Narrative Medicine
- M 6:10 p.m.-8 p.m.
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Instructor:
Michael E Davidovits
Info - 3 points
BUSINESS INTELLIGENCE
BUSINESS INTELLIGENCE IN SPRTS
- Department: Sports Management
- W 6:10 p.m.-8 p.m.
- T 8:10 p.m.-10 p.m.
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Instructor:
Russell Scibetti
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Instructor:
Kyle Burkhardt
Info - 3 points
STATISTICAL MACHINE LEARNING
Prerequisites: STAT GR5206 or the equivalent. 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: Statistics
- F 6:10 p.m.-8:55 p.m.
- F 10:10 a.m.-12:40 p.m.
- F 2:40 p.m.-5:25 p.m.
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Instructor:
Banu Baydil
CULPA: 10
Info
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Instructor:
Xiaofei Shi
h-index: 4 Info -
Instructor:
Kamiar Rahnama Rad
Info - 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
APPLIED DATA SCIENCE
Climate Pred Challenges
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
- T 4:10 p.m.-6:40 p.m.
- 3 points
THE BUSINESS OF NONPROFITS
This Business of Nonprofits course is designed to prepare students to identify, understand, consider, and manage common business and related legal issues arising in the operation of a nonprofit organization. Operational legal issues are pervasive in every aspect of nonprofit management and governance, including: (1) decisions on organizational structures, (2) the design of collaborative relationships, (3) entering into contracts, (4) human resource issues, (5) the creation and use of intellectual property, and (6) the assessment and management of risks. Because of the increasingly complex legal environment nonprofits face, managers knowledgeable about the topics covered in this course will be better equipped to contribute to the structuring of external business arrangements and relationships, as well as to manage internal operational matters. This elective course is intended to provide a solid foundation of practical business and business law basics to managers, board members, and consultants working for nonprofit organizations.
- Department: Non Profit Management
- W 6:30 p.m.-8 p.m.
- 3 points
EXTERNAL STAKEHOLDER REQUIREMENTS
- Department: Enterprise Risk Management
- W 8:10 p.m.-10 p.m.
- W 6:10 p.m.-8 p.m.
- M 6:10 p.m.-8 p.m.
- T 6:10 p.m.-8 p.m.
- R 8:10 p.m.-10 p.m.
- R 6:10 p.m.-8 p.m.
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Instructor:
Daniel D Walker
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Instructor:
Violet Diamant
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Instructor:
Alan Cheung
h-index: 5 Info -
Instructor:
Guoqiang Li
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Instructor:
Anthony Wong
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Instructor:
Rich Lauria
Info - 3 points
EXTERNAL STAKEHOLDER REQUIREMENTS
- Department: Auditing
- W 8:10 p.m.-10 p.m.
- R 8:10 p.m.-10 p.m.
- T 8:10 p.m.-10 p.m.
- M 8:10 p.m.-10 p.m.
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Instructor:
R S Forston
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Instructor:
Anthony Wong
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Instructor:
David Chitty
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Instructor:
Juan Echeverri
Info - 0 points
EXTERNAL STAKEHOLDER REQUIREMENTS
EXT STAKEHOLDER REQ (ONLINE)
- Department: Enterprise Risk Management
- T 8:10 p.m.-10 p.m.
- M 8:10 p.m.-10 p.m.
- W 8:10 p.m.-10 p.m.
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Instructor:
David Chitty
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Instructor:
Juan Echeverri
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Instructor:
R S Forston
Info - 3 points
FOUNDATIONS OF LABOR & EMPLOYMENT LAW
- Department: Human Capital Management
- W 6:10 p.m.-8 p.m.
- M 6:30 p.m.-8 p.m.
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Instructor:
Lee Miller
Wikipedia Info -
Instructor:
Lori B Rassas
Info - 3 points
CONFLICT RESOLUTION FIELDWORK
NECR FIELDWORK
- Department: Negotiation & Conflict Resolution
- US 10 a.m.-12:15 p.m.
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Instructor:
Nikolas Katsimpras
Info - 1 points
DATA ANALYTICS/METRICS IN THE NONPROFIT
DATA ANL/MTRC IN NONPROF
Data Analytics
- Department: Non Profit Management
- T 6:30 p.m.-8 p.m.
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Instructor:
Jessie H Lee
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
DATA ANALYSIS AND VISUALIZATION IN SUSTA
DATA ANALYSIS & VIS IN SU
- Department: Sustainability Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Gregory G Yetman
Info - 3 points
ORGANIZATIONAL STRATEGY AND LEARNING
ORG STRAT AND LEARNING
- Department: Human Capital Management
- T 8:10 p.m.-10 p.m.
- M 6:10 p.m.-8 p.m.
- M 8:30 p.m.-10 p.m.
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Instructor:
Reshan Richards
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Instructor:
Nabeel Ahmad
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Instructor:
Sara Daly-Padron
Info - 3 points
PROG FOR QUANT & COMP FINANCE
This course covers programming with applications to finance. The applications may include such topics as yield curve building and calibration, short rate models, Libor market models, Monte Carlo simulation, valuation of financial instruments such as options, swaptions and variance swaps, and risk measurement and management, among others. Students will learn about the underlying theory, learn coding techniques, and get hands-on experience in implementing financial models and systems.
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
MANAGING THE MISSION-BASED ORGANIZATION
- Department: Non Profit Management
- M 6:10 p.m.-8 p.m.
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Instructor:
Timothy Higdon
Info - 3 points
STOCHASTIC METHODS IN FINANCE
Prerequisites: STAT GR5264 Available to SSP, SMP. Mathematical theory and probabilistic tools for modeling and analyzing security markets are developed. Pricing options in complete and incomplete markets, equivalent martingale measures, utility maximization, term structure of interest rates.
- Department: Statistics
- TR 6:10 p.m.-7:25 p.m.
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Instructor:
Johannes Wiesel
h-index: 6 Info - 3 points
TRANSFORMING TOTAL REWARDS
- Department: Human Capital Management
- M 8:10 p.m.-10 p.m.
- T 6:30 p.m.-8 p.m.
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Instructor:
Hassan Abdulhaqq
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Instructor:
Edna B Chun
Info - 3 points
PUBLIC WRITING AND PUBLIC HEALTH
PUBLIC WRITING & PUBLIC H
The recent racial and economic disparities of the COVID-19 pandemic and the framing of violent policing in the United States as a “public health crisis,” have sharpened the need for informed activist writing in the public sphere. This course will train student to participate in these public conversations. Although the constraints of writing for public-facing venues are many (time, tone, length, presentation of findings), the need for writers with cultural and narrative fluency in medicine is difficult to overstate. Building on the skills developed in the first term of the narrative medicine program, students in this one-credit elective course will study and practice how to write from qualitative research for a public audience. Over three weeks, we will delve into the scholarly and public writing of academics whose work moves between the social and the scientific, studying the rhetorical choices in both kinds of writing, and observing effective techniques for deep engagement and strategies for of-the-moment occasional pieces, fiction, documentary, and long-form journalism. A visit with a climate change and health reporter will provide an opportunity to ask questions about the journalistic practices that link these fields. The class will consider writerly decision-making in times of urgency and crisis, and help students build sustainable research practices that can be called upon in such times. We will also discuss systems for self-editing and responding to editorial comments and pressures. The final project for the course will be a researched op-ed or short essay on a current health-related matter and an accompanying pitch to a national magazine or newspaper. This is a 1-credit Special Topics elective designed for any interested Narrative Medicine M.S. students as well as graduate students from programs such as SPS Bioethics and others, space permitting. It fulfills the core Narrative Medicine program objective of bridging the scholarly/academic realm and public discourse in regard to medicine and public health, while addressing pressing contemporary issues. While the M.S. degree requirements include a creative writing core course, there are currently no offerings which build public-facing journalistic writing skills. It thus addresses a gap in the curriculum, advancing program learning outcome #5: “Graduates will demonstrate comprehension of local, national, or global application of narrative medicine theories and practices.” Such application and implementation is a core mandate of Narrati
- Department: Narrative Medicine
- F 2:10 p.m.-5 p.m.
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Instructor:
Anjuli R Kolb
CULPA: 1 Info - 1 points
GLOBAL COMMUNICATION FOR PROFESSIONALS
GLOBAL COMM FOR PROFESSIONALS
The global knowledge economy, cross-border market permeability, and worldwide talent mobility have accelerated the rise of multinational and domestic organizations comprised of individuals from many different cultural and linguistic backgrounds. As these trends strengthen, so, too, does the likelihood that the 21st-century worker will spend a significant part of her/his professional career in a multicultural workplace. While such diversity affords great benefits to organizations, their employees and clients, it is often accompanied by a rise in communication misfires and misunderstandings that can undermine individual, team, and organizational performance.
- Department: Strategic Communication
- MTWRF 9 a.m.-5 p.m.
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Instructor:
Kristine Billmyer
Info - 3 points
GLOBAL COMMUNICATION FOR PROFESSIONALS
The global knowledge economy, cross-border market permeability, and worldwide talent mobility have accelerated the rise of multinational and domestic organizations comprised of individuals from many different cultural and linguistic backgrounds. As these trends strengthen, so, too, does the likelihood that the 21st-century worker will spend a significant part of her/his professional career in a multicultural workplace. While such diversity affords great benefits to organizations, their employees and clients, it is often accompanied by a rise in communication misfires and misunderstandings that can undermine individual, team, and organizational performance.
- Department: Auditing
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Instructor:
Kristine Billmyer
Info - 0 points
DIGITAL HR AND THE DIGITAL WORKPLACE
DIGITAL HR & DIGITAL WORK
- 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:
Ashley K Buonasera
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Instructor:
Joshua Bellis
Info - 3 points
Dementia Narratives
This course takes a short, intensive dive into the narratives that story our experience of and with dementia. “Dementia Narratives” will use the literary genres of film, fiction, memoir, and graphic novels to excavate dementia stories using three framing tools. First, we will consider the relationship between the storyteller and the person with dementia, and the positioning of the person with dementia in the context of the story. Second, we will attend to these stories as they are framed by metaphors. And third, as we attend to these narratives we will also connect them to implications for practice and policy. In Narrative Medicine we focus on story and its importance in understanding the experience of illness for the individual, for the family or community, and for society. In this course we explore the elephant in that room: the importance of the illness experiences that cannot be narrated. Can we use the skills we gain in close reading and reflective writing to better understand the relationship between memory and self, when memory is inconsistent, free-floating, and riddled with holes? The purpose of this exploration is to better serve the needs of those whose stories do not fit the expected arcs of coherence, to understand the world of the caregivers for those with dementia, and to consider how narrative and policy inform each other in this growing arena of societal need. These questions and topics hover at the edges of current courses such as “Illness/Disability Narratives,” but are generally not directly addressed.
- Department: Narrative Medicine
- W 2:10 p.m.-4:30 p.m.
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Instructor:
Marsha Hurst
Info - 1 points