RESOLVING URBAN CONFLICT

This course explores and applies insights from a variety of academic disciplines to social conflict in urban areas. In addition, in this course we will treat the urban experience as the stage where social conflicts (family, corporate, political, etc.) are experienced and transformed collectively. 

Analyzing and Resolving Urban Conflict explores the contribution that the fields of conflict resolution, human geography, urban studies, and peace and conflict studies can offer to support efforts in lowering violence. This course also seeks to identify and resolve the underlying issues and patterns causing the outbreak and proliferation of violence in cities.

Specifically, the entire world is facing dramatic demographic changes due to the massive movement of people within and across national territories. According to the United Nations, by 2050, two out of every three people are likely to be living in cities or other urban centers. Domestically and internationally, cities are already becoming settings of new social and violent conflicts. We are already witnessing less rural insurgency and more urban insurgency, fewer guerrillas and more gangs and urban militias. In fact, urban areas are becoming the hubs of the transnational flow of commodities and people, of both licit and illicit markets. Cities around the world are increasingly stages where social problems, such as income inequality, racism, and gender-based violence are manifesting and being politically addressed via social movements.   

The course will have an interdisciplinary approach and will draw especially from the fields of anthropology, human geography, and peace and conflict studies. Throughout the course, these disciplines will be in dialogue with systems thinking approaches to analyze and transform social conflicts. In particular, students will also have an opportunity to apply the concepts learned by mapping and analyzing a case study of urban conflict.

Furthermore, the instructor will provide insights, principles and notions he has gained over the years while working as both a practitioner and a scholar in challenging urban environments such as Medellin and Bogotá, Colombia.

• Department: Negotiation & Conflict Resolution
• W 2 p.m.-3:30 p.m.
• Instructor: Joan Lopez
  Info
• 3 points

CRITICAL CONVERSATIONS

Effective dialogue is one of the single most important activities of leaders today. Whether you are confronting a team member who is not keeping commitments, critiquing a colleague’s work, disagreeing with a spouse about financial decisions, or telling someone no, critical conversations are often avoided or handled in clumsy ways. This course will provide the theory underpinning these conversations, diagram their structure, and provide specific strategies for approaching them successfully.

• Department: Strategic Communication
• F 9:30 a.m.-4:30 p.m.
• Instructor: Jesse L Scinto
  Info
• 3 points

BUSINESS FOOTBALL MANAGEMENT

THE INNER WORKINGS OF THE NFL

In this course, students will critically analyze and consider the successes and challenges facing the NFL. Specifically, students will be tasked with identifying what accounts for its success as both a corporate and cultural institution; what lessons can be drawn from the success of the NFL that could pertain to other industries, whether in professional sports or elsewhere; and importantly, how the NFL is actually run as a business. Students will take a deep dive into a variety of subjects within the business of the NFL have first-hand access to NFL insiders from a variety of sectors within the league, and be tasked with cultivating business, marketing, leadership and general decision-making skills drawn from real-world experiences within the NFL.

• Department: Sports Management
• T 4:10 p.m.-6 p.m.
• 3 points

REMOTE SENSING FOR AQUATIC ENVIRONMENTS

Aquatic systems are critical for provisioning ecosystem services that have sustained human civilization as evidenced by the establishment of the earliest civilizations on banks of rivers or along a coast.  Apart from regulating climate, aquatic systems provide food and transportation services, fresh water lakes and reservoirs provide water for consumption and irrigation, and coastal systems offer recreational services.  But growing human population, especially along the coast, has endangered the quality of ecosystem services.  The primary finding of the Millennium Ecosystem Assessment was that 15 out 24 ecosystem services examined are being degraded or being used unsustainably (MEA 2005).  Monitoring the aquatic ecosystem and understanding how to distinguish between anthropogenic and natural variability is an essential aspect of sustainability science. This course will provide an introduction to the use of remote sensing techniques that can be used to study the aquatic environment. There are several space-based sensors that provide information relevant to sustainable management of aquatic resources.  Depending on the sensor, observations are made as frequently as every day and spatially covering the entire globe.  Understanding the spatial and temporal context around an issue can help discriminate between local and far field effects and time series of remote sensing data can be constructed to investigate causes and consequences of environmental events.  Thus knowledge of the basic science of remote sensing, understanding how to select the appropriate sensor to answer a question, where to find the data and how to analyze this data could be critical tools for anyone interested in oceanic, coastal, and freshwater resource management. The course will follow active learning techniques and will consist of a lecture to introduce concepts followed by a discussion and lab time for hands on activities to learn and use tools for analysis of remote sensing data.  After the introduction of the basic principles of remote sensing, a series of case studies will be used to explore concepts in sustainability such as water quality, nutrient loading and hypoxia, coral reefs.  Remote sensing tools that are used to investigate and address environmental questions such as the effects of shutting down a sewage treatment plant, mapping of suspended sediment concentrations will be demonstrated and used by the students.  Each case study will be briefly introduced at the end of the pre

• Department: Sustainability Science
• T 6:10 p.m.-8 p.m.
• Instructor: Ajit Subramaniam
  Info
• 3 points

REMOTE SENSING FOR AQUATIC ENVIRONMENTS

Aquatic systems are critical for provisioning ecosystem services that have sustained human civilization as evidenced by the establishment of the earliest civilizations on banks of rivers or along a coast.  Apart from regulating climate, aquatic systems provide food and transportation services, fresh water lakes and reservoirs provide water for consumption and irrigation, and coastal systems offer recreational services.  But growing human population, especially along the coast, has endangered the quality of ecosystem services.  The primary finding of the Millennium Ecosystem Assessment was that 15 out 24 ecosystem services examined are being degraded or being used unsustainably (MEA 2005).  Monitoring the aquatic ecosystem and understanding how to distinguish between anthropogenic and natural variability is an essential aspect of sustainability science. This course will provide an introduction to the use of remote sensing techniques that can be used to study the aquatic environment. There are several space-based sensors that provide information relevant to sustainable management of aquatic resources.  Depending on the sensor, observations are made as frequently as every day and spatially covering the entire globe.  Understanding the spatial and temporal context around an issue can help discriminate between local and far field effects and time series of remote sensing data can be constructed to investigate causes and consequences of environmental events.  Thus knowledge of the basic science of remote sensing, understanding how to select the appropriate sensor to answer a question, where to find the data and how to analyze this data could be critical tools for anyone interested in oceanic, coastal, and freshwater resource management. The course will follow active learning techniques and will consist of a lecture to introduce concepts followed by a discussion and lab time for hands on activities to learn and use tools for analysis of remote sensing data.  After the introduction of the basic principles of remote sensing, a series of case studies will be used to explore concepts in sustainability such as water quality, nutrient loading and hypoxia, coral reefs.  Remote sensing tools that are used to investigate and address environmental questions such as the effects of shutting down a sewage treatment plant, mapping of suspended sediment concentrations will be demonstrated and used by the students.  Each case study will be briefly introduced at the end of the pre

• Department: Auditing
• T 6:10 p.m.-8 p.m.
• Instructor: Ajit Subramaniam
  Info
• 0 points

ACCOUNTING, FINANCE, AND MODELING OF SUS

ACCT FIN & MOD OF SUS INV

This course is designed to provide students with working knowledge on how to make successful investments in sustainable companies and to prepare students to be conversationally literate in financial reporting. As you leave the school and become leaders of organizations financial literacy will be a skill set that will be vital to success no matter what career path you go down. It starts with a strong foundation in accounting and corporate finance, then moves on to ESG/Impact screening of potential investments, along with valuation techniques used to arrive at a purchase price. It will explore financial models that can aggregate multiple variables used to drive investment decisions.

To understand and lead a transition to a sustainability-aware business, managers must first be familiar with the terminology, practices and consequences of traditional accounting and finance. Students will learn traditional financial and accounting methods and tools. We will examine how these methods and tools are changing to improve product and service design, resource efficiency and allocation, employee productivity and sustainability performance outcomes. Students will learn how value is created in a company and the different methods employed to create that value, conduct due diligence, discuss optimal capital structure to finance a transaction, execute a transaction, and implement a Sustainability-based value-added operating plan to the target company. The course will conclude with students preparing a persuasive investment memo and accompanying financial model to the investment committee of an impact investing asset management firm. The course also provides a practical introduction to selected non-financial accounting topics including sustainability reporting standards, ESG corporate performance indicators and corporate social responsibility report (CSR Reporting).

• Department: Sustainability Management
• M 6:10 p.m.-8 p.m.
• Instructor: Brad Schwartz
  Info
• 3 points

FINANCING THE CLEAN ENERGY ECONOMY

FINANCING CLEAN ENERGY ECONOMY

• Department: Sustainability Management
• W 6:10 p.m.-8 p.m.
• Instructor: Leslie Rich
  Info
• 3 points

The Sustainable Transportation Economy

Course Overview

Transportation accounts for about 25% of global GHG emissions.  Significantly reducing emissions in this sector is fundamental for addressing climate change.  Historically, the technical and commercial tools for tackling emissions in this sector have lagged other sectors (for example, electricity production).  But over the last several years, this dynamic has changed and there is now unprecedented capital and brainpower focused on transportation decarbonization. The course focuses on capturing the key elements that will speed the scale-up to low- and no- carbon transportation (“sustainable transportation”) across the breadth of transportation sectors.  In doing so, this scale-up will create new industries and business models – and has the potential to benefit a wide group of people, including those who in the past have been disproportionally affected by poor air quality caused by existing transportation sources.  The course is designed for any student who wishes to understand these elements in a deeper way.

 

The course will explore the decarbonization opportunities and challenges across the various transportation sectors, including light duty, commercial fleets, public transportation, aviation, and marine sectors – as well as areas that cut across all sectors, such as battery adoption, the supply chain for materials, fueling/charging. and the impact of hydrogen.  Because the carbon content of propulsion fuels is dependent on other sectors (for example, the transition to renewable electricity), the course will examine the energy transition in transportation in the context of broader decarbonization trends.  In exploring each transportation sub-sector, the course will focus mainly from the commercial perspective, but will incorporate the external factors (e.g., innovation, policy, macro-factors) that affect commercial success.

 

The course is intended for anyone wishing to further their knowledge or their career in the areas of sustainable transportation – especially in areas related to electric transportation.  The course will rely on lectures and discussions, both led by the professor and guest lecturers.  There are no prerequisites for the course.  The course assignments will include a combination of problem sets, financial modeling, and case studies/written assignments.  No previous financial modeling experience is required; the professor and/or TA will provid

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

The Sustainable Transportation Economy

Course Overview

Transportation accounts for about 25% of global GHG emissions.  Significantly reducing emissions in this sector is fundamental for addressing climate change.  Historically, the technical and commercial tools for tackling emissions in this sector have lagged other sectors (for example, electricity production).  But over the last several years, this dynamic has changed and there is now unprecedented capital and brainpower focused on transportation decarbonization. The course focuses on capturing the key elements that will speed the scale-up to low- and no- carbon transportation (“sustainable transportation”) across the breadth of transportation sectors.  In doing so, this scale-up will create new industries and business models – and has the potential to benefit a wide group of people, including those who in the past have been disproportionally affected by poor air quality caused by existing transportation sources.  The course is designed for any student who wishes to understand these elements in a deeper way.

 

The course will explore the decarbonization opportunities and challenges across the various transportation sectors, including light duty, commercial fleets, public transportation, aviation, and marine sectors – as well as areas that cut across all sectors, such as battery adoption, the supply chain for materials, fueling/charging. and the impact of hydrogen.  Because the carbon content of propulsion fuels is dependent on other sectors (for example, the transition to renewable electricity), the course will examine the energy transition in transportation in the context of broader decarbonization trends.  In exploring each transportation sub-sector, the course will focus mainly from the commercial perspective, but will incorporate the external factors (e.g., innovation, policy, macro-factors) that affect commercial success.

 

The course is intended for anyone wishing to further their knowledge or their career in the areas of sustainable transportation – especially in areas related to electric transportation.  The course will rely on lectures and discussions, both led by the professor and guest lecturers.  There are no prerequisites for the course.  The course assignments will include a combination of problem sets, financial modeling, and case studies/written assignments.  No previous financial modeling experience is required; the professor and/or TA will provid

• Department: Auditing
• R 6:10 p.m.-8 p.m.
• Instructor: Scott Fisher
  Info
• 0 points

APPLIED MACHINE LEARNING I

APPLD MACHINE LEARNING I

APPLIED MACHINE LEARNING I

• Department: Applied Analytics
• T 8:10 a.m.-10 a.m.
• F 10:10 a.m.-noon
• W 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Kitty K Chan
  Info
• Instructor: Vishal Lala
  Info
• Instructor: Birol Emir
  CULPA: 14 Info
• Instructor: Evgeniya Reshetnyak
  Info
• Instructor: Vinay P Mahadeo
  Info
• Instructor: Andrew Assing
  Info
• Instructor: Birol Emir
  CULPA: 14 Info
• 3 points

APPLIED MACHINE LEARNING I

APP MACHINE LEARN I ONLIN

APPLIED MACHINE LEARNING I

• Department: Applied Analytics
• R 8:10 p.m.-10 p.m.
• Instructor: Zachary Kurtz
  Info
• 3 points

Managerial Economics

• Department: Business Economics
• FFS 3:45 p.m.-6:45 p.m.
• FS 12:30 p.m.-3:30 p.m.
• SS 3:45 p.m.-6:45 p.m.
• SS 12:30 p.m.-3:30 p.m.
• None None-None
• Instructor: Brett House
  Info
• 1.5 points

WORKSHOP ON POPULATION ORAL HEALTH

WRKSHP ON POPULATION ORAL HLTH

• Department: Dental and Oral Surgery
• 0 points

TRADITIONAL ERM PRACTICES

This course provides an overview of the traditional ERM frameworks used to identify, assess, manage, and disclose key organizational risks. The traditional ERM frameworks are those that are more commonly in use and include COSO ERM, ISO 31000, and the Basel Accords. This course also provides an understanding of the methods, tools, techniques, and terminology most organizations use to manage their key risks, presented in the context of the foundational elements of an ERM process. This will enable students to navigate the ERM landscape within most organizations, and, along with the second-semester course Value-Based ERM, evaluate opportunities to enhance the existing ERM practices and evolve their ERM programs over time.

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• W 8:10 p.m.-10 p.m.
• T 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: H.S. Bob Kostakopoulos
  Info
• Instructor: Sandra del Guercio
  Info
• Instructor: Rajat Baijal
  Info
• Instructor: Marianna Belyavskiy
  Info
• Instructor: Peter Bruzzese
  Info
• Instructor: James S Kim
  Info
• 3 points

FUNDAMENTALS OF DIRECTING

Weekly lectures will introduce film grammar, textual analysis, staging, the camera as narrator, pre-visualization, shot progression, directorial style, working with actors and editing. Lectures by all members of the full time directing faculty anchor the class, highlighting a range of directorial approaches with additional lectures on the techniques and aesthetics of editing. Each lecture will be supported by visual material from master film directors as well as the examples of the short films students will be required to produce in their first two semesters. For the final 7 weeks of the term, a student fellow will be available to mentor students through the planning of their 3-5 films.

• Department: Film
• W 9:30 a.m.-12:30 p.m.
• Instructor: Bette Gordon
  Wikipedia Info
• 3 points

FINANCE FOR EFFECTIVE HCM

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

INTEGRATIVE CAPSTONE WORKSHOP

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• Instructor: Kizzy M Charles-Guzman
  Info
• Instructor: Thomas Abdallah
  Info
• Instructor: Susanne E Desroches
  Info
• Instructor: Robert A Cook
  Info
• Instructor: Chandler I Precht
  Info
• Instructor: Dubois Akeen Akeen
  Info
• Instructor: Lynnette Widder
  Info
• Instructor: Shaun A Hoyte
  Info
• Instructor: Dong Guo
  Info
• 3 points

AI/ML for Leaders

Generative AI represents a pivotal technological evolution with profound implications for the global economy and modern society. This course delves into the decades-long development of AI and machine learning, emphasizing its emergence as a critical economic and strategic force. As we explore this technology, we will assess its potential to revolutionize industries, enhance capabilities, and introduce complex challenges related to security, identity, and ethical considerations.

In this dynamic landscape, both incumbent businesses and governmental bodies face the urgent need to adapt to this disruption and the transformative changes it heralds. This course seeks to unpack the catalysts of this technological surge, its foundational principles, and the critical knowledge required for modern leadership in the AI era.

• Department: Technology Management
• M 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Raghvender Arni
  Info
• Instructor: Lauren R Goodwin
  Info
• 3 points

CERAMICS I

• Department: Visual Arts
• R 10 a.m.-4 p.m.
• M 10 a.m.-4 p.m.
• Instructor: Patrice R Washington
  Info
• Instructor: Ray W Barsante
  Info
• 3 points

FINANCIAL PSYCHOLOGY

Financial Psychology focuses on the intersection of human psychology and wealth
management and the basic elements of consumer behavior. Students will explore
all of the biases, behaviors and perceptions that impact client decision-making and
financial well-being. Most importantly, this course is specifically designed to help
prepare the advisor to better understand all of the factors that impact client
decisions in an effort to help them achieve their own personal goals.

• Department: Wealth Management
• Instructor: Meghaan Lurtz
  Info
• 3 points

NONFICTION WORKSHOP

• Department: Writing
• F 10 a.m.-1 p.m.
• R 10 a.m.-1 p.m.
• M 1:10 p.m.-4:10 p.m.
• Instructor: Cristen A Beam
  Info
• Instructor: Kate Zambreno
  Info
• Instructor: Michelle Orange
  Info
• 6 points

PRIN/APPL OF SOCIETY & CULTURE

Prerequisites: graduate standing. Introductory survey of major concepts and areas of research in social and cultural anthropology. Emphasis is on both the field as it is currently constituted and its relationship to other scholarly and professional disciplines. Required for students in Anthropology Department's master degree program and for students in the graduate programs of other departments and professional schools desiring an introduction in this field.

• Department: Anthropology
• T 2:10 p.m.-4 p.m.
• Instructor: Ellen Marakowitz
  CULPA: 1 Info
• 3 points

Fundamentals of Directing Lab: Secrets o

Fund of Dir Lab: Short Fi

Each week, outstanding shorts from Sundance, Cannes, Tribeca, Aspen, and other international festivals will be screened and discussed. (You might see a few duds as well, for comparison purposes.) The emphasis in the first two weeks will be on shorts under six minutes, in preparation for the “3-to-5” project. The second two weeks will be devoted to films between 8 and 12 minutes long, in preparation for the “8-to-12”. The final weeks will include a variety of narratives the size of Columbia thesis films. Altogether, over forty films will be shown and discussed.

• Department: Film
• W 6 p.m.-9 p.m.
• Instructor: Daniel Kleinman
  Info
• 0 points

Graduate Seminar in Printmaking and Rela

Grad Seminar in Printmaki

The Graduate Seminar in Printmaking and Related Media is designed to create a space that is inclusive yet focused on printmaking. Class time is structured to support, adapt and reflect students' needs and goals as individual artists and as a community. The course will examine printmaking as a medium in an expanded field, investigating its constitutive materials, exhibition and installation practices, and its ethics in the 21st century. The seminar will focus on the specific relations between tools, ideas and meanings that arise when artists engage with print media in various incarnations and concepts including editioned prints, multiples, artist-books, other types of printed matter, alternate means of distribution, and strategies of duplication and repetition. The ultimate objective is to provide students with in-depth knowledge of the materials, tools, histories and theories that underlie specific printmaking practices. The seminar combines discussion of students' artwork and research with readings on ethics, performance, cinema, poetics, data, museum practices, politics, and public space as they relate to printmaking.

While the Columbia Visual Arts Program is dedicated to maintaining an interdisciplinary learning environment where students are free to use and explore different mediums while also learning to look at and critically discuss artwork in any medium, we are equally committed to providing in-depth knowledge concerning the theories, histories, practices, tools and materials underlying these different disciplines. Each semester we offer one Graduate Seminar in a different discipline, or combination of disciplines, including moving image, new genres, painting, photography, printmaking, and sculpture. These Discipline Seminars are taught by full-time and adjunct faculty, eminent critics, historians, curators, theorists, writers, and artists. Each seminar focuses on specific relations between tools, ideas and meanings that arise when artists engage with a particular medium. The seminars combine discussions of readings and artworks with presentations of students' individual work and research.

• Department: Visual Arts
• F 10 a.m.-1 p.m.
• Instructor: Craig Zammiello
  Info
• 3 points

PROBABILITY

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

• Department: Statistics
• TR 6:10 p.m.-7:25 p.m.
• MW 1:10 p.m.-3:40 p.m.
• MW 8:40 a.m.-11:25 a.m.
• Instructor: Cristian G Pasarica
  Info
• Instructor: Jingchen Liu
  CULPA: 2 h-index: 19 Info
• Instructor: Regina Dolgoarshinnykh
  CULPA: 2 Info
• 3 points

STATISTICAL INFERENCE

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

• Department: Statistics
• MW 6:10 p.m.-7:25 p.m.
• MW 1:10 p.m.-3:40 p.m.
• MW 8:40 a.m.-11:25 a.m.
• Instructor: Ashley Datta
  Info
• Instructor: Victor H de la Pena
  h-index: 20 Info
• Instructor: Regina Dolgoarshinnykh
  CULPA: 2 Info
• 3 points

APPLIED MACHINE LEARNING II

APP AN FRAMEWORKS & METHODS II

APPLIED MACHINE LEARNING II

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

ADVANCED NEGOTIATION

• Department: Negotiation & Conflict Resolution
• SU 9 a.m.-5 p.m.
• Instructor: Yelena Naginsky
  Info
• 3 points

NARRATIVE ETHICS

• Department: Narrative Medicine
• T 6:10 p.m.-8 p.m.
• Instructor: Danielle R Spencer
  h-index: 5 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.
• Instructor: Gabriel Young
  CULPA: 7 Info
• 3 points

GEOGRAPHIC INFORMATIONS SYSTEMS (GIS) FO

GIS FOR SUST MGMT

• Department: Sustainability Management
• M 4:10 p.m.-6 p.m.
• Instructor: Antoinette V Wannebo
  Info
• 3 points

Foundations of Clinical Medicine Tutoria

FCM Tutorials I

• Department: Medicine
• 0 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.

• Department: Statistics
• F 10:10 a.m.-12:40 p.m.
• Instructor: Benjamin K Goodrich
  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
• R 6:10 p.m.-8:40 p.m.
• Instructor: Haiyuan Wang
  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.
• Instructor: Richard Davis
  CULPA: 3 h-index: 60 Info
• 3 points

PYTHON FOR DATA ANALYSIS

PYTHON FOR DATA ANALYSIS ONLNE

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

COMMUNICATION AND GLOBAL BRANDS

COMMUNICATION & GLOBAL BRANDS

This course examines the discipline of global marketing communication, including the environmental factors that enabled global marketing. The course assesses early models of communication management and the current factors that enable global communication programs: the identification of global target audiences; the kinds of products and services that lend themselves to global communication and those that don’t; and the characteristics of leadership brands that are preeminent in global communication today. Students consider how levels of development and cultural values affect communication programs and how local differences can be reflected in global programs. Message creation and the available methods of message distribution are evaluated in the context of current and future trends. Students learn how to approach strategy and develop an integrated, holistic global communication program and how to manage such a program.

• Department: Strategic Communication
• R 8:10 a.m.-10 a.m.
• T 8:10 p.m.-10 p.m.
• Instructor: Annemarie Norris
  Info
• 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.
• T 10 a.m.-1 p.m.
• R 2 p.m.-5 p.m.
• T 10 a.m.-1 p.m.
• R 6 p.m.-9 p.m.
• M 2 p.m.-5 p.m.
• Instructor: Hilary Brougher
  Wikipedia Info
• 3 points

ENV SUST INDICATORS: CONSTRUCTION & USE

CONSTRUCTION AND USE

This course will present students with the architecture, data, methods, and use cases of environmental indicators, from national-level indices to spatial indices. The course will draw on the instructor’s experience in developing environmental sustainability, vulnerability and risk indicators for the Yale/Columbia EPI as well as for a diverse range of clients including the Global Environmental Facility, UN Environment, and the US Agency for International Development. Guest lecturers will provide exposure to Lamont experience in monitoring the ecological and health impacts of environmental pollution and the use of environmental indicators in New York City government. Beyond lecture and discussion, classroom activities will include learning games, role play and case study methods.

 

The course will explore alternative framings of sustainability, vulnerability and performance, as well as design approaches and aggregation techniques for creating composite indicators (e.g., hierarchical approaches vs. data reduction methods such as principal components analysis). The course will examine data sources from both in-situ monitoring and satellite remote sensing, and issues with their evaluation and appropriateness for use cases and end users. In lab sessions, the students will use pre-packaged data and basic statistical packages to understand the factors that influence index and ranking results, and will construct their own simple comparative index for a thematic area and region or country of their choice. They will learn to critically assess existing indicators and indices, and to construct their own. In addition, students will assess the impacts of environmental performance in several developing and developed countries using available data (e.g., pollutant levels in soils and air in Beijing and NYC), and project future changes based on the trends they see in their assessments. The course will also examine theories that describe the role of scientific information in decision-making processes, and factors that influence the uptake of information in those processes. The course will present best practices for designing effective indicators that can drive policy decisions.

Advising Note:
Students are required to have had prior coursework in descriptive and inferential statistics.

• Department: Sustainability Science
• T 4:10 p.m.-6 p.m.
• Instructor: Alexander M Desherbinin
  Info
• 3 points

MICROECONOMICS ANALYSIS I

• Department: Economics
• MW 4:10 p.m.-5:25 p.m.
• Instructor: Bernard Salanie
  CULPA: 18 Wikipedia h-index: 40 Info
• 3 points

CONFLICT, SOCIAL NETWORKS AND COMMUNICAT

CONFL SOCIAL NETWKS/COMM

Conflict and communications technologies are inextricably connected  and this relationship  is increasingly mediated by social networks. Individuals and organizations face many challenges in using online technology for collaboration and conflict mediation purposes. Recent software innovations can facilitate knowledge acquisition, network building, and the analysis and presentation of conflict-related data. For professionals working in the field of conflict resolution, it is imperative to understand the role developments in communications technologies has  played in exacerbating and/or resolving conflicts.

This course will analyze the relationship between conflict and communications technologies. It will explore the challenges that individuals and networks face in using online technology for collaboration and conflict mediation purposes. It will demonstrate how recent software and social media innovations can facilitate knowledge acquisition, network building, and the analysis and presentation of conflict-related data. Finally, it will analyze contemporary cases where developments in communications technologies have played a critical role in exacerbating and/or resolving conflicts.

The course focuses on international peacebuilding and business and human rights cases. The former cases include Israel-Palestine, refugees, African peacebuilding, genocide prevention, and election violence monitoring. The latter cases include online harassment, cross-national email conflicts, sex trafficking, new business models such as Uber and AirBnB, and extractive resource conflicts.

The course will also instruct students in the use of social software (such as blogs, social media curation, and networking/visual mapping) and improve their “digital literacy” on a range of technologies. The course will provide practical (and often provocative) examples and challenge students to reflect on how these experiences and tools will be useful in their professional development and work environments.

• Department: Negotiation & Conflict Resolution
• Instructor: Ted Perlmutter
  Info
• 3 points

Climate Adaptation Discussion

This is the discussion that corresponds with the course CLMT 5015 Climate Change Adaptation. Students are required to register for a discussion section.

• Department: Climate School
• F 1:10 p.m.-2:25 p.m.
• 0 points

Climate Adaptation Discussion

This is the discussion that corresponds with the course CLMT 5015 Climate Change Adaptation. Students are required to register for a discussion section.

• Department: Climate School
• F 1:10 p.m.-2:25 p.m.
• F 2:40 p.m.-3:55 p.m.
• 0 points

Climate Adaptation Discussion

This is the discussion that corresponds with the course CLMT 5015 Climate Change Adaptation. Students are required to register for a discussion section.

• Department: Climate School
• F 2:40 p.m.-3:55 p.m.
• R 8:40 a.m.-9:55 a.m.
• 0 points

Climate Adaptation Discussion

This is the discussion that corresponds with the course CLMT 5015 Climate Change Adaptation. Students are required to register for a discussion section.

• Department: Climate School
• R 8:40 a.m.-9:55 a.m.
• 0 points

MACROECONOMICS ANALYSIS I

• Department: Economics
• R 6:10 p.m.-8 p.m.
• Instructor: Julian Di Giovanni
  Info
• 3 points

ADVANCED MICROECONOMICS

• Department: Economics
• W 12:10 p.m.-2 p.m.
• Instructor: Murat Yilmaz
  Info
• 3 points

ADVANCED MACROECONOMICS

• Department: Economics
• M 4:10 p.m.-6 p.m.
• Instructor: Irasema Alonso
  CULPA: 12 Info
• 3 points

QUANT MTHDS IN INVESTMENT MGMT

Prerequisites: Knowledge of statistics basics and programming skills in any programming language. Surveys the field of quantitative investment strategies from a buy side perspective, through the eyes of portfolio managers, analysts and investors. Financial modeling there often involves avoiding complexity in favor of simplicity and practical compromise. All necessary material scattered in finance, computer science and statistics is combined into a project-based curriculum, which give students hands-on experience to solve real world problems in portfolio management. Students will work with market and historical data to develop and test trading and risk management strategies. Programming projects are required to complete this course.

• Department: Mathematics
• R 7:40 p.m.-10 p.m.
• Instructor: Alberto Botter
  Info
• 3 points

FOUNDATIONS OF SPORTS MANAGEMENT

FOUNDATIONS OF SPORTS MGMT

• Department: Sports Management
• W 12:10 p.m.-2 p.m.
• M 6:10 p.m.-8 p.m.
• W 2:10 p.m.-4 p.m.
• Instructor: Scott Rosner
  Info
• Instructor: Christopher Lencheski
  Info
• Instructor: Sarbjit Singh
  Info
• 3 points