CRITICAL URBAN INFRASTRUCTURE FOR SUSTAI
What are urban infrastructures that promote sustainability? Such infrastructure must reduce environmental pollution at all scales, provide necessary urban services efficiently and enhance urban resilience to multiple potential crises. Sustainable infrastructure also must promote social and economic equity and environmental justice. And sustainable infrastructure must be economically feasible. This class will use these concepts to evaluate urban infrastructure and identify challenges to making urban infrastructure sustainable. Importantly, the course will use theories of urban transitions to help identify the drivers of potential change in infrastructure development and envision the emergence of sustainable infrastructure. This class will examine these notions across the energy, transportation, water supply and waste water treatment, buildings, health and open space urban sectors.
- Department: Sustainability Management
- R 6:10 p.m.-8 p.m.
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Instructor:
Peter J Marcotullio
Info - 3 points
INTERNSHIP IN SOCIAL RESEARCH II
INTERNSHIP IN SOCIAL RSRC
- Department: Quantitative Methods/Social Sciences
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Instructor:
Gregory M Eirich
CULPA: 1 Info - 1 points
SOCIOLOGICAL THEORY
This course emphasizes the perspectives of foundational thinkers on the evolution and dynamics of social life. Readings address key sociological questions; including the configuration of communities, social control, institutions, exchange, interaction, and culture.
- Department: Sociology
- W 10:10 a.m.-noon
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Instructor:
Ryan A Hagen
Info - 4 points
PRACTICUM IN DATA ANALYSIS
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. Thepracticum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
- Department: Quantitative Methods/Social Sciences
- M 8:10 a.m.-10 a.m.
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Instructor:
Aracelis Z Torres
Info - 3 points
PRACTICUM IN DATA ANALYSIS II
This practicum will mimic the typical conditions that students would face in an internship in a large data-intense institution. The practicum will focus on four core elements involved in most internships: • developing the intuition and skills to properly scope ambiguous project ideas; • practicing organizing and accessing a variety of large-scale data sources and formats; • conducting basic and advanced analysis of big data; and • communicating and “productizing” results and findings from the earlier steps, in things like dashboards, reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, and how it would best translate into corporate, non-profit, start-up and other contexts.
- Department: Quantitative Methods/Social Sciences
- M 8:10 a.m.-10 a.m.
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Instructor:
Aracelis Z Torres
Info - 3 points
INTERNSHIP IN SOCIAL III
INTERNSHP III
Students enrolled in the Quantitative Methods in the Social Sciences M.A. program have a number of opportunities for internships with various organizations in New York City. Over the past three years, representatives from a number of different organizations – including ABC News, Pfizer, the Manhattan Psychiatric Center, Merrill Lynch, and the Robert Wood Johnson Foundation – have approached students and faculty in QMSS about the possibility of having QMSS students work as interns. Many of these internships require students to receive some sort of course credit for their work. All internships will be graded on a pass/fail basis.
- Department: Quantitative Methods/Social Sciences
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Instructor:
Gregory M Eirich
CULPA: 1 Info - 1 points
PRACTICUM IN DATA ANALYSIS
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. Thepracticum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
- Department: Quantitative Methods/Social Sciences
- M 6:10 p.m.-8 p.m.
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Instructor:
Charlie Riemann
Info - 3 points
PRACTICUM IN DATA ANALYSIS
This practicum course is meant to offer valuable training to students. Specifically, this practicum will mimicthe typical conditions that students would face in an internship in a large data-intense institution. The practicum will focus on four core elements involved in most internships: (1) Developing the intuition andskills to properly scope ambiguous project ideas; (2) practicing organizing and accessing a variety oflarge-scale data sources and formats; (3) conducting basic and advanced analysis of big data; and (4)communicating and “productizing” results and findings from the earlier steps, in things like dashboards,reports, interactive graphics, or apps. The practicum will also give students time to reflect on their work, andhow it would best translate into corporate, non-profit, start-up and other contexts.
- Department: Quantitative Methods/Social Sciences
- M 6:10 p.m.-8 p.m.
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Instructor:
Charlie Riemann
Info - 3 points
SUSTAINABLE FASHION AND STARTUP STRATEGY
SUST FASHION & STARTUP ST
Fashion’s consistent ranking among the top 3 global polluters has become a decades old fact struggling to gain a proportionate response among the brand startup and sourcing community. With industry revenues set to exceed $1 trillion, there is an opportunity to critically address existing revenue models predicated on traditional metrics, such as constant growth, and singular bottom lines. The course attempts to create a nexus between the fashion entrepreneur and systems thinker to explore strategic solutions that address sustainability though an environmental, social and economic lens. The aim is to foster a mindful, yet critical discourse on fashion industry initiatives, past and present, and to practice various tools that help transition existing organizations and incubate new startups towards sustainable outcomes.
- Department: Sustainability Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Ammar Belal
Info - 3 points
STATISTICS, DATA ANALYSIS, AND CODING FO
STATS, DATA, ANLYS&CODING
Students in the Master of Science in Sustainability Science will encounter a range of scientific problems throughout their Science-specific courses that require a strong foundational level of mathematical and statistical knowledge. In addition, course-work will involve computer coding to read, analyze, and visualize data sets. This course provides an overview of essential mathematical concepts, an introduction to new concepts in statistics and data analysis, and provides computer coding skills that will prepare students for coursework in the Master of Science in Sustainability Science program as well as to succeed in a career having a sustainability science component. In addition to an overview of essential mathematical concepts, the skills gained in this course include statistics, and coding applied to data analysis in the Sustainability Sciences. Many of these skills are broadly applicable to science-related professions, and will be useful to those having careers involving interaction with scientists, managing projects utilizing scientific analysis, and developing science-based policy. Students enrolled in this course will learn through lectures, class discussion, and hands-on exercises that address the following topics: Review of mathematical concepts in calculus, trigonometry, and linear algebra; Mathematical concepts related to working on a spherical coordinate system (such as that for the Earth); Probability and statistics, including use of probability density functions to calculate expectations, hypothesis testing, and the concept of experimental uncertainty; Concepts in data analysis, including linear least squares, time-series analysis, parameter uncertainties, and analysis of fit; Computer coding skills, including precision of variables, arrays and data structures, input/output, flow control, and subroutines, and coding tools to produce basic X-Y plots as well as images of data fields on a global map.
- Department: Sustainability Technology
- W 6:10 p.m.-8 p.m.
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Instructor:
James L Davis
h-index: 57 Info - 3 points
PROSEMINAR I
The Proseminar fulfills two separate goals within the Free-Standing Masters Program in Sociology. The first is to provide exposure, training, and support specific to the needs of Masters students preparing to move on to further graduate training or the job market. The second goal is to provide a forum for scholars and others working in qualitative reserach, public sociology, and the urban environment.
- Department: Sociology
- M 4:10 p.m.-6 p.m.
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Instructor:
Denise Milstein
CULPA: 9
h-index: 5
Info
- 1 points
FIELD WORK I
This two-semester sequence supports students through the process of finding a fieldwork site, beginning the field work required to plan for and develop a Masters thesis, and the completion of their Masters thesis.
- Department: Sociology
- F 8 a.m.-9 a.m.
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Instructor:
Denise Milstein
CULPA: 9
h-index: 5
Info
- 1 points
THESIS SEMINAR I
This seminar gives you an opportunity to do original sociological research with the support of a faculty member, a teaching assistant, and your fellow classmates.
- Department: Sociology
- M 10:10 a.m.-noon
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Instructor:
Denise Milstein
CULPA: 9
h-index: 5
Info
- 3 points
NATURAL LANG PROCESSING SOCIAL SCIENCES
Social scientists need to engage with natural language processing (NLP) approaches that are found in computer science, engineering, AI, tech and in industry. This course will provide an overview of natural language processing as it is applied in a number of domains. The goal is to gain familiarity with a number of critical topics and techniques that use text as data, and then to see how those NLP techniques can be used to produce social science research and insights. This course will be hands-on, with several large-scale exercises. The course will start with an introduction to Python and associated key NLP packages and github. The course will then cover topics like language modeling; part of speech tagging; parsing; information extraction; tokenizing; topic modeling; machine translation; sentiment analysis; summarization; supervised machine learning; and hidden Markov models. Prerequisites are basic probability and statistics, basic linear algebra and calculus. The course will use Python, and so if students have programmed in at least one software language, that will make it easier to keep up with the course.
- Department: Quantitative Methods/Social Sciences
- M 8:10 p.m.-10 p.m.
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Instructor:
Patrick Houlihan
Info - 3 points
THE COMPELLING COMMUNICATOR
The ability to communicate effectively is a key competency for professionals. As emerging industry leaders, understanding the audience, framing the message, and using media channels to achieve specified objectives are critical skills, whether written or spoken. Through a variety of written and oral assignments, students learn to apply foundational communication theory to inform and engage stakeholders. The first part of the course focuses on written deliverables, emphasizing audience-framed messaging and developing simple, clear and persuasive content. The second part transitions to enhancing spoken delivery and presentation skills where students gain experience in speechwriting, storytelling and using data visualization to motivate an audience to act.
- Department: Strategic Communication
- T 10:10 a.m.-noon
- T 2:10 p.m.-4 p.m.
- T 4:10 p.m.-6 p.m.
- M 6:10 p.m.-8 p.m.
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Instructor:
Kevin Visconti
Info - 3 points
GIS & SPATIAL ANALYSIS-SOC SCI
Prerequisites: Undergraduate Statistics This course introduces students to basic spatial analytic skills. It covers introductory concepts and tools in Geographic Information Systems (GIS) and database management. As well, the course introduces students to the process of developing and writing an original spatial research project. Topics to be covered include: social theories involving space, place and reflexive relationships; social demography concepts and databases; visualizing social data using geographic information systems; exploratory spatial data analysis of social data and spatially weighted regression models, spatial regression models of social data, and space-time models. Use of open-source software (primarily the R software package) will be taught as well.
- Department: Quantitative Methods/Social Sciences
- T 4:10 p.m.-6 p.m.
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Instructor:
Michael Parrott
Info - 3 points
MODERN DATA STRUCTURES
This course is intended to provide a detailed tour on how to access, clean, “munge” and organize data, both big and small. (It should also give students a flavor of what would be expected of them in a typical data science interview.) Each week will have simple, moderate and complex examples in class, with code to follow. Students will then practice additional exercises at home. The end point of each project would be to get the data organized and cleaned enough so that it is in a data-frame, ready for subsequent analysis and graphing. Therefore, no analysis or visualization (beyond just basic tables and plots to make sure everything was correctly organized) will be taught; and this will free up substantial time for the “nitty-gritty” of all of this data wrangling.
- Department: Quantitative Methods/Social Sciences
- W 6:10 p.m.-8 p.m.
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Instructor:
Thomas Brambor
h-index: 9 Info - 3 points
CELLULAR/MOLECULAR IMMUNOLOGY
Prerequisites: two semesters of a rigorous, molecularly-oriented introductory biology course (such as UNC2005 and UN2006), or the instructor's permission. This course will cover the basic concepts underlying the mechanisms of innate and adaptive immunity, as well as key experimental methods currently used in the field. To keep it real, the course will include clinical correlates in such areas as infectious diseases, autoimmune diseases, cancer, and transplantation. Taking this course won't turn you into an immunologist, but it may make you want to become one, as was the case for several students last year. After taking the course, you should be able to read the literature intelligently in this rapidly advancing field.
- Department: Biological Sciences
- MW 2:40 p.m.-3:55 p.m.
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Instructor:
Christian W Schindler
CULPA: 3 Info - 3 points
MACHINE LEARNING SOC SCI
Prerequisites: basic probability and statistics, basic linear algebra, and calculus This course will provide a comprehensive overview of machine learning as it is applied in a number of domains. Comparisons and contrasts will be drawn between this machine learning approach and more traditional regression-based approaches used in the social sciences. Emphasis will also be placed on opportunities to synthesize these two approaches. The course will start with an introduction to Python, the scikit-learn package and GitHub. After that, there will be some discussion of data exploration, visualization in matplotlib, preprocessing, feature engineering, variable imputation, and feature selection. Supervised learning methods will be considered, including OLS models, linear models for classification, support vector machines, decision trees and random forests, and gradient boosting. Calibration, model evaluation and strategies for dealing with imbalanced datasets, n on-negative matrix factorization, and outlier detection will be considered next. This will be followed by unsupervised techniques: PCA, discriminant analysis, manifold learning, clustering, mixture models, cluster evaluation. Lastly, we will consider neural networks, convolutional neural networks for image classification and recurrent neural networks. This course will primarily us Python. Previous programming experience will be helpful but not requisite. Prerequisites: basic probability and statistics, basic linear algebra, and calculus.
- Department: Quantitative Methods/Social Sciences
- T 6:10 p.m.-8 p.m.
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Instructor:
Michael Parrott
Info - 3 points
DIGITAL MEDIA & ANALYTICS
Digital media opens new opportunities for increasingly targeted communications across a variety of channels, which rapidly expands the importance of analytics in tracking and measuring key performance indicators (KPIs). This course prepares students to work within data- and model-driven environments with an emphasis on using analytics to develop insights and support strategic decisions.
- Department: Strategic Communication
- T 6:10 p.m.-8 p.m.
- 3 points
FUNDAMENTLS OF OMBUDS PRACTICE
- Department: Negotiation & Conflict Resolution
- F 6:10 p.m.-8 p.m.
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Instructor:
Amy E Sereday
Info - 3 points
VIDEO PRODUCTION FOR VISUAL STORYTELLING
VIDEO PRO FOR VISUAL STOR
Students will have hands-on learning experiences using camera controls and techniques and optics to accentuate psychological and atmospheric aspects surrounding the subject. Additionally, through visual storytelling, composition and basic color theory students will understand how to incorporate theories of cinematic language to emphasize the mood and perception of the story. This course will cover basic lighting techniques for the interview in a hands-on practical experience that will strengthen participants’ camera, cinematography and storytelling skills. Students will complete the course by creating a final short video, having collaboratively conceptualized, filmed, interviewed and shot the necessary B-roll to structure a basic visual storytelling piece with the use of image, sound and basic editing.
- Department: Oral History
- W 3:10 p.m.-6 p.m.
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Instructor:
Oscar Frasser
Info - 4 points
APPLIED ANALYTICS IN ORGANIZATIONAL CONT
APP AN IN ORG CONTEXT
- Department: Applied Analytics
- T 6:10 p.m.-8 p.m.
- M 6:10 p.m.-8 p.m.
- S 10:10 a.m.-noon
- T 8:10 p.m.-10 p.m.
- W 6:10 p.m.-8 p.m.
- T 8:10 p.m.-10 p.m.
- R 8:10 p.m.-10 p.m.
- W 8:10 p.m.-10 p.m.
- F 12:10 p.m.-2 p.m.
- R 6:10 p.m.-8 p.m.
- F 10:10 a.m.-noon
- W 6:10 p.m.-8 p.m.
- T 6:10 p.m.-8 p.m.
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Instructor:
Lori Cenci
Info -
Instructor:
Cory E Labanow
Info -
Instructor:
Anjana Bhattacharyya
Info -
Instructor:
Jennifer Tsao
Info -
Instructor:
Panagiotis Tarhanidis
Info -
Instructor:
Sandy Balkin
Info -
Instructor:
Jisang Pack
Info -
Instructor:
Panagiotis Tarhanidis
Info -
Instructor:
Mani Vannan
Info -
Instructor:
Huan Liu
Info -
Instructor:
Anjana Bhattacharyya
Info -
Instructor:
David Kreutter
Info -
Instructor:
Igor Rudychev
Info - 3 points
ESTIMATING PROJECT COSTS
- Department: Construction Administration
- T 6:10 p.m.-8 p.m.
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Instructor:
Ian M Taylor
Info - 3 points
Managerial Statistics
- Department: Decision, Risk and Operations
- TF 9 a.m.-10:15 a.m.
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Instructor:
Assaf Zeevi
h-index: 40 Info - 3 points
Managerial Statistics
- Department: Decision, Risk and Operations
- TF 9 a.m.-10:15 a.m.
- None None-None
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Instructor:
Assaf Zeevi
h-index: 40 Info -
Instructor:
Faculty
h-index: 37 Info - 3 points
VALUE-BASED ENTERPRISE RISK MGMT
VALUE-BASED ERM
- Department: Enterprise Risk Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Mary Ellen Luning
Info - 3 points
VALUE-BASED ENTERPRISE RISK MGMT
VALUE-BASED ERM (ONLINE)
- Department: Enterprise Risk Management
- R 2:10 p.m.-4 p.m.
- R 8:10 p.m.-10 p.m.
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Instructor:
Sim Segal
Info -
Instructor:
Duncan Campbell
Info - 3 points
ELEMENTS OF DRAMATIC NARRATIVE
A lecture and discussion course on the basics of feature-length screenwriting. Using written texts and films screened for class, the course explores the nature of storytelling in the feature-length film and the ways in which it is an extension and an evolution of other dramatic and narrative forms. A basic part of Film’s first year program, the course guides students in developing the plot, characters, conflict and theme of a feature-length story that they will write, as a treatment, by the end of the semester.
- Department: Film
- M 10 a.m.-1 p.m.
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Instructor:
Andrew S Bienen
Info - 3 points
INTRODUCTION TO HUMAN CAPITAL MANAGEMENT
- Department: Human Capital Management
- T 6:10 p.m.-8 p.m.
- T 8:10 p.m.-10 p.m.
- T 6:30 p.m.-8 p.m.
-
Instructor:
Aaron S Wallen
CULPA: 1 h-index: 5 Info - 3 points
PRODUCT, PRICING & DISTRIBUTION
PRODUCT, PRICING & DISTRB
The insurance business is an outward facing business built around selling products to individual and business consumers. Therefore, insurance service providers, like all sophisticated consumer-driven businesses, must carefully and constantly assess their markets and strategies to remain relevant in a highly competitive environment. From consumer data analytics, to proper risk pricing, to efficient distribution channels, to navigating social media, to managing the highly regulated nature of insurance sales and distribution, insurance providers operate in a highly competitive environment that rewards discipline as well as innovation. Successful companies identify and make tough decisions to correct underperforming parts of their portfolios and they temper their approaches to new products where loss costs and pricing requirements are uncertain. They innovate by thinking first about new and evolving loss exposures their customers face and develop insurance products and services that respond. They focus on the client experience through the entire insurance process and create specialized/differentiated products and services to either avoid commoditization or leverage it, depending on the needs of that market and the strengths of that insurer. The focus of this core course, in MSIM’s Insurance Rotation area of study, will include the history and the evolution of the insurance industry across the three main insurance sectors, i.e. property/casualty, life and health. The course will address factors that drive company investment in and/or withdrawal from specific products and markets and the complexities around developing, pricing and selling a product for which costs are determined only after claims have been paid – something that often occurs many years after the policy was sold. The course will consider how providers are expanding beyond traditional products into related services and how technology is increasing innovation around product design and marketing.
- Department: Insurance Management
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Instructor:
Louis Weltmann
Info - 3 points
SELF & OTHER IN CLIN ENCOUNTER
TBD
- Department: Narrative Medicine
- M 3:10 p.m.-6 p.m.
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Instructor:
Craig Irvine
Info - 4 points
PAINTING I
- Department: Visual Arts
- W 10 a.m.-4 p.m.
- F 10 a.m.-4 p.m.
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Instructor:
Lucy L Campana
Info -
Instructor:
David A Cruz
Info - 3 points
THE WEALTH MANAGEMENT LANDSCAPE
This course will provide an overview of the wealth management profession,
including various business models and the role of the advisor within each. Guest
speakers from across the wealth management profession will discuss the various
business models, key trends, including the intersection of technology and wealth
management and the unique nature of each client planner relationship. This course
will also highlight additional services that advisors are offering clients in order to
provide a full suite of solutions. In addition, students will discuss the role and
function of family offices, the scope of services they offer and best practices to
managing a family office.
- Department: Wealth Management
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Instructor:
William Woodson
Info - 3 points
FICTION WORKSHOP
- Department: Writing
- M 1:10 p.m.-4:10 p.m.
- M 10 a.m.-1 p.m.
- M 1:10 p.m.-4:10 p.m.
- R 5:30 p.m.-8:30 p.m.
- T 1:10 p.m.-4:10 p.m.
- F 1:10 p.m.-4:10 p.m.
- F 10 a.m.-1 p.m.
- R 10 a.m.-1 p.m.
- R 1:10 p.m.-4:10 p.m.
- T 10 a.m.-1 p.m.
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Instructor:
Samuel Lipsyte
CULPA: 5
Info
-
Instructor:
Rivka R Galchen
CULPA: 6
Info
-
Instructor:
Heidi S Julavits
CULPA: 1 Wikipedia Info -
Instructor:
Maisy Card
Info -
Instructor:
Adam Z Wilson
Info -
Instructor:
Lincoln M Michel
Info -
Instructor:
Megha Majumdar
Info -
Instructor:
Rachel W Sherman
CULPA: 2 Info -
Instructor:
Eli Gottlieb
Info -
Instructor:
Matthew Salesses
Wikipedia Info - 6 points
FINANCE AND ACCOUNTING FOR THE CONSTRUCT
FIN & ACCTG CONSTRCTN INDUSTRY
- Department: Construction Administration
- M 6:10 p.m.-8 p.m.
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Instructor:
William Fischer
Info - 3 points
Business Analytics
- Department: Decision, Risk and Operations
-
Instructor:
Faculty
h-index: 37 Info - 1.5 points
UNDERSTAND CONFLICT & COOPERATION
UNDERSTAND CONFL & COOPER
- Department: Negotiation & Conflict Resolution
- W 5:10 p.m.-6:50 p.m.
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Instructor:
Peter T Coleman
h-index: 35 Info - 3 points
UNDERSTAND CONFLICT & COOPERATION
UNDERSTAND CONFL & COOPER
- Department: Auditing
- W 5:10 p.m.-6:50 p.m.
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Instructor:
Peter T Coleman
h-index: 35 Info - 0 points
PAINTING II
- Department: Visual Arts
- T 10 a.m.-4 p.m.
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Instructor:
Gregory Amenoff
CULPA: 6
Wikipedia
Info
- 3 points
Operations Management & Strate
- Department: Decision, Risk and Operations
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Instructor:
Nelson M Fraiman
Info - 1.5 points
Molecular Mechanisms
MOLECULAR MECHANISM HLTH/DISEA
- Department: Dental and Oral Surgery
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Instructor:
Jonathan M Barasch
Info - 0 points
LEGAL ISSUES IN BUILDING CONSTRUCTION
LEGAL ISSUES-BLDG CONSTR
- Department: Construction Administration
- W 6:10 p.m.-8 p.m.
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Instructor:
Tim Hegarty
Info - 3 points
ELEMENTAL TOPICS IN CONSTRUCTION MANAGEM
ELEMENTAL TOPICS IN CNSTR
This course is designed to provide students with introductory knowledge and basic skills they will need to understand and apply as they progress through the program. Students receive an overview of key topics that will be covered in greater detail through core courses and electives during subsequent terms. Each class session provides a primer on a specific area of vital importance, including construction techniques, legal issues, contracts, blueprint reading, scheduling, sustainability, claims and more. Upon completion students will be familiar with basic concepts, terminology and procedures associated with the industry, and well prepared to study these subjects in greater depth.
- Department: Construction Administration
- W 6:10 p.m.-8 p.m.
- 1.5 points
INTRODUCTION TO NEGOTIATION
- Department: Negotiation & Conflict Resolution
- S 9 a.m.-5 p.m.
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Instructor:
Bodi Regan
Info - 3 points
INTRODUCTION TO MEDIATION
This required NECR course will introduce the concepts and skills of mediation, a type of third-party conflict intervention. This course will provide students with theory, research, and practice to effectively use mediation skills in a wide variety of contexts. Mediation practices are frequently applied to a variety of conflicts and are employed in conflict resolution strategies. Thus it is imperative for a conflict resolution practitioner to develop knowledge and skills of this practice. In this course students will be introduced to mediation philosophies, approaches, applications, and skills through readings, scholarly reflections, role-plays, a collaborative group project, and a term paper. This course will provide a deeper understanding of problem-solving and relational styles of mediation and the goals aligned with each. Students will learn to identify when mediation is appropriate, prepare for a mediation, employ communication skills, deal with negative emotions, address ethical dilemmas, and consider the cultural influences surrounding the parties and conflict.
Prerequisite: NECR 5105 Introduction to Negotiation
.
- Department: Negotiation & Conflict Resolution
- U 9 a.m.-5 p.m.
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Instructor:
Michele Riley
Info - 3 points
THE BODY IN HEALTH & DISEASE I
- Department: Medicine
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Instructor:
John T Grbic
h-index: 36 Info - 0 points
Negotiation for Everyday Use
In this course, we will explore negotiation from several points of view and approaches. We will also look at characteristics that impact the quality of our negotiations and the outcomes, such as the role of emotions, cultural considerations, effectiveness of our communication, and opportunities to seek out negotiation to transform relationships. The course will be a blend of concepts and skills, theory and practice. On some occasions, you will be introduced to a concept and then asked to apply those concepts in an experiential activity. At other times, you will be asked to engage the activity or simulation and then the concepts will be elicited based on your experience. You will have several opportunities to practice developing your skills throughout the course, in terms of enhancing your practice and honing your analytical and conceptual understanding.
- Department: Negotiation & Conflict Resolution
- M 6:10 p.m.-8 p.m.
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Instructor:
Cody J Smith
Info - 3 points
Fieldwork Course in Economics
This course provides an opportunity for students in the Economics Master of Arts Program to engage in off-campus internships for academic credit that will count towards their requirements for the degree. The internships will facilitate the application of economic skills that students have developed in the program and prepare them for future work in the field.
- Department: Economics
- 1 points
SCREENWRITING I
In this introductory workshop, students write several short screenplays over the course of the semester and learn the basics of the craft. Character, action, conflict, story construction, the importance of showing instead of telling, and other essential components are explored.
- Department: Film
- M 6 p.m.-9 p.m.
- W 2 p.m.-5 p.m.
- T 5:30 p.m.-8:30 p.m.
- W 2 p.m.-5 p.m.
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Instructor:
Jamal Joseph
Info - 3 points
Passing/Transfuges: on being someone els
This course explores different examples of people pretending to be someone else, or something other than the identities they are assigned at birth and by existing social norms. It considers three typical forms of this fluidity of self and other: the phenomenon of racial passing in post emancipation US history; attempts to import the notion of passing in the context of gender identity; and the related concept of a
transfuge de classe
in contemporary France. Drawing from a range of scholarly disciplines (sociology, psychology, philosophy, history…) and close readings of literary texts (novels, autobiographical writings…), we will explore a range of questions related to these phenomena: of self-fashioning and social reproduction, of authenticity and performance, of outer cues and inner feelings, of how class, race, and gender align and intersect, in privilege and subversion. This course is conceived as a research seminar in tandem with the History and Literature MA introduction course; students will have the opportunity to explore ideas and methodologies broached in the introductory survey, putting these into practice in research of their own.
- Department: French
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Instructor:
Thomas Dodman
CULPA: 2 Info - 3 points
ACCOUNTING AND FINANCE FOR TECHNOLOGY
ACCT & FINANCE FOR TECH: EMS
An exploration of the central concepts of corporate finance for those who already have some basic knowledge of finance and accounting. This case-based course considers project valuation; cost of capital; capital structure; firm valuation; the interplay between financial decisions, strategic consideration, and economic analyses; and the provision and acquisition of funds. These concepts are analyzed in relation to agency problems: market domination, risk profile, and risk resolution; and market efficiency or the lack thereof. The validity of analytic tools is tested on issues such as highly leveraged transactions, hybrid securities, volatility in initial public offerings, mergers and acquisitions, divestitures, acquisition and control premiums, corporate restructurings, and sustainable and unsustainable market inefficiencies.
- Department: Technology Management
- R 7:30 p.m.-9 p.m.
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Instructor:
Conrad Fernandes
Info - 3 points
ACCOUNTING AND FINANCE FOR TECHNOLOGY
ACCT & FINANCE FOR TECH
An exploration of the central concepts of corporate finance for those who already have some basic knowledge of finance and accounting. This case-based course considers project valuation; cost of capital; capital structure; firm valuation; the interplay between financial decisions, strategic consideration, and economic analyses; and the provision and acquisition of funds. These concepts are analyzed in relation to agency problems: market domination, risk profile, and risk resolution; and market efficiency or the lack thereof. The validity of analytic tools is tested on issues such as highly leveraged transactions, hybrid securities, volatility in initial public offerings, mergers and acquisitions, divestitures, acquisition and control premiums, corporate restructurings, and sustainable and unsustainable market inefficiencies.
- Department: Technology Management
- M 6:10 p.m.-8 p.m.
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Instructor:
Conrad Fernandes
Info - 3 points
DIGITAL STRATEGY AND LEADERSHIP
DIGITAL STRATEGY & LEADERSHIP
An examination of technology as a crucial aspect of the operation of most businesses. The first part of the course focuses on the structuring and planning of technology projects and investments as well as the analysis of financial returns and their impact on the productivity of the larger organization. The second part of the course focuses on the connections between technology and product development, marketing, and the positioning of an organization in its external environment.
- Department: Technology Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Douglas M Scherer
Info - 3 points
DIGITAL STRATEGY AND LEADERSHIP
DIGITAL STRAT & LDRSHP - NYC
An examination of technology as a crucial aspect of the operation of most businesses. The first part of the course focuses on the structuring and planning of technology projects and investments as well as the analysis of financial returns and their impact on the productivity of the larger organization. The second part of the course focuses on the connections between technology and product development, marketing, and the positioning of an organization in its external environment.
- Department: Technology Management
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Instructor:
Norm Jacknis
Info - 3 points
BEHAVIORAL CHALLENGES IN TECHNOLOGY MANA
An in-depth study of the intricacies of managing technical personnel and management teams in a fast paced and evolving business environment. Emphasis is placed on key challenges including the management of multiple technology projects, software development processes, and communications among technology managers and senior managers, developers, programmers, and customers.
- Department: Technology Management
- W 6:10 p.m.-8 p.m.
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Instructor:
J. Patrick O'Connell
Info - 3 points
MARKETING RESEARCH
Understanding customers is vital for any business to meet financial goals. Marketing research helps companies gain valuable insights about the most important people in the world: their customers. Marketing research can inform managers about consumer attitudes, buying behaviors, product and service preferences, communication messages, and distribution channels in order for management to forecast the size of the opportunity, to minimize risk in the decision-making process, to determine what is working/not working and how to best allocate and prioritize resources.
- Department: School of Professional Studies (DVSP)
- M 6:10 p.m.-8 p.m.
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Instructor:
Andrew Blum
Info - 3 points