GHG EMISSIONS: MEASURING AND MINIMIZING

GHG EMISSIONS CARBON FOOT

Global greenhouse gas (GHG) emissions are now at a record high, and the world’s scientific community agrees that continued unabated release of greenhouse gases will have catastrophic consequences. Many efforts to curb greenhouse gas emissions, both public and private, have been underway for decades, yet it is now clear that collectively these efforts are failing, and that far more concerted efforts are necessary. In December 2015, the world’s nations agreed in Paris to take actions to limit the future increase in global temperatures well below to 2°C, while pursuing efforts to limit the temperature increase even further to 1.5°C. Achieving this goal will require mitigation of greenhouse gas emissions from all sectors, both public and private. Critical to any attempt to mitigate greenhouse gas emissions is a clear, accurate understanding of the sources and levels of greenhouse gas emissions. This course will address all facets of greenhouse gas emissions accounting and reporting and will provide students with tangible skills needed to direct such efforts in the future.

Students in this course will gain hands-on experience designing and executing greenhouse gas emissions inventories for companies, financial institutions and governments employing all necessary skills including the identification of analysis boundaries,  data collection, calculation of emissions levels, and reporting of results. In-class workshops and exercises will complement papers and group assignments. A key component of this course will be critical evaluation of both existing accounting and reporting standards as well as GHG emissions reduction target setting practices.

This course will introduce many of the challenges facing carbon accounting practitioners and will require students to recommend solutions to these challenges derived through critical analysis. Classes will examine current examples of greenhouse gas reporting efforts and will allow students the opportunity to recommend improved calculation and reporting methods.

• Department: Sustainability Management
• W 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• Instructor: Jonathan C Dickinson
  CULPA: 1 Info
• Instructor: Ryan A Meinke
  Info
• Instructor: Anthony M Guerrero
  Info
• 3 points

American Film: Comedy

TPCS IN AMER CINEMA

Grad section for FILM UN 2190 Topics in American Cinema.  

This course surveys the American film genre known as film noir, focusing primarily on the genre’s heyday in the 1940s and early 1950s, taking into account some of its antecedents in the hard-boiled detective novel, German Expressionism, and the gangster film, among other sources. We will consider a number of critical and theoretical approaches to the genre, and will also study a number of film noir adaptations and their literary sources.

• Department: Film
• R 10:10 a.m.-12:55 p.m.
• Instructor: Robert King
  CULPA: 7 Info
• 3 points

SECURITY ANALYSIS

Prerequisites: BUSI PS5001 Intro to Finance and BUSI PS5003 Corporate Finance or Professor Approval required. If you have not taken PS5001 or PS5003 at Columbia University, please contact the course instructor for approval. Students will learn about the valuation of publicly traded equity securities. By the end of the semester students will be able to perform fundamental analysis (bottoms-up, firm-level, business and financial analysis), prepare pro forma financial statements, estimate free cash flows and apply valuation models.

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• Instructor: Panos Mourdoukoutas
  Wikipedia Info
• 3 points

ESG ALIGNED CORPORATE GOVERNANCE

ESG-ALIGNED CORP GOVERNANCE

Environmental, social and governance issues (‘ESG’) are moving to center stage for corporate boards and executive teams.  This elective course complements management and operations courses by focusing on the perspective and roles of the board and C-suite of corporations, financial institutions and professional firms in addressing ESG risks as well as promoting and overseeing governance aligned with ESG principles. The course focuses on the interchange between the external legal, competitive, societal, environmental and policy ‘ecosystems’ corporations face (which vary around the world) and a company’s internal structure, operations and pressures. We will use the United Nations Guiding Principles on Business and Human Rights and the UN Global Compact Principles (which incorporate all aspects of ESG) as the central frameworks to explore the concept of a corporation’s responsibility to respect and remedy human rights and environmental harms.  We will also examine the Equator Principles and other frameworks that spell out good practices for project finance and other investment decisions, and reference a wide range of the myriad indices, supplier disclosure portals and benchmarks that exist in this inter-disciplinary field.  Relevant regulations, corporate law regimes and court cases will be discussed from the point of view of what business managers need to know. While most of the course will deal with companies and firms serving global, regional or national markets, several examples will deal with the question of how the ESG ecosystem affects or offers opportunities to start-ups.

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• Instructor: Bridget C Murphy
  Info
• 3 points

SUSTAINABILITY IN THE FACE OF NATURAL DI

SUST IN THE FACE OF NAT DISTRS

Natural hazards, naturally occurring phenomena, which can lead to great damage and loss of life, pose a great challenge for the sustainability of communities around the world. This course aims to prepare students to tackle specific hazards relevant to their life and work by providing them the scientific background and knowledge of the environmental factors that combine to produce natural disasters. The course will also train students about the methods used to study certain aspects of natural hazards and strategies for assessing risk and preparing communities and businesses for natural disasters. The course will cover a range of natural hazards, including geological, hydro-meteorological, and biological. The course will emphasize the driving physical, chemical and biological processes controlling the various hazards, and the observation and modeling methods used by scientists to assess and monitor events. Many case examples, including hurricanes, earthquakes and volcanic eruptions that occurred in the last five years, will be given and analyzed for the characteristics of the event, the preparation, and the response.

By providing students with a solid understanding of past natural disasters, the course prepares them to think more critically about creating more resilient communities, which can resist catastrophic events. Students will be studying the underpinning scientific principles of natural disasters but will also learn specific strategies for planning, mitigation, and response. During the course, students will master cutting-edge tools and technologies that will prepare them to work in the complex and demanding field of disaster management. After completing the course, students will be able to understand past events, communicate risk, and make critical decision related to disaster and preparedness. In increasingly unpredictable times, there is a need for more resilient and connected communities, and this particular course will train students in both the knowledge and skills needed to lead and strengthen those communities and resilience efforts at scale.

Advising Note:
Students are expected to have taken college-level Calculus, Physics, and Introductory Statistics. Students are expected to have experience with computer based data analysis (Excel, R, Matlab or Python).

• Department: Sustainability Science
• W 4:10 p.m.-6 p.m.
• Instructor: Einat Lev
  h-index: 16 Info
• 3 points

CELL BIOLOGY

• Department: Biological Sciences
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Erin L Barnhart
  Info
• 3 points

MATH FINANCE PRACTITIONERS SEMINAR I

MATH FINANCE PRACTITION S

This seminar offers participants the opportunity to listen to practitioners discuss a range of important topics in the financial industry.  Topics may include portfolio optimization, exotic derivatives, high frequency analysis of data and numerical methods. While most talks require knowledge of mathematical methods in finance, some talks are accessible to a more general audience.

• Department: Mathematics
• W 6:10 p.m.-7:25 p.m.
• Instructor: Jaehyuk Choi
  Info
• 1.5 points

INTERNSHIP IN SOCIAL RESEARCH

This course gives students two credits of academic credit for the work they perform in such an social science oriented internships.

• Department: Quantitative Methods/Social Sciences
• Instructor: Gregory M Eirich
  CULPA: 1 Info
• 1 points

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.
• Instructor: Peter J Marcotullio
  Info
• 3 points

INTERNSHIP IN SOCIAL RESEARCH II

INTERNSHIP IN SOCIAL RSRC

• Department: Quantitative Methods/Social Sciences
• 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 2:10 p.m.-4 p.m.
• Instructor: Peter Bearman
  CULPA: 19 Wikipedia h-index: 54 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
• T 4:10 p.m.-6 p.m.
• Instructor: Nicole C Dicrecchio
  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
• T 4:10 p.m.-6 p.m.
• Instructor: Nicole C Dicrecchio
  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
• 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
• T 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Charles R 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
• T 6:10 p.m.-8 p.m.
• Instructor: Charles R Riemann
  Info
• 3 points

DATA MINING FOR SOCIAL SCIENCE

The class is roughly divided into three parts: 1) programming best practices and exploratory data analysis (EDA); 2) supervised learning including regression and classification methods and 3) unsupervised learning and clustering methods. In the first part of the course we will focus writing R programs in the context of simulations, data wrangling, and EDA. Supervised learning deals with prediction problems where the outcome variable is known such as predicting a price of a house in a certain neighborhood or an outcome of a congressional race. The section on unsupervised learning is focused on problems where the outcome variable is not known and the goal of the analysis is to find hidden structure in data such as different market segments from buying patterns or human population structure from genetics data.

• Department: Quantitative Methods/Social Sciences
• 4 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.
• Instructor: Ammar Belal
  Info
• 3 points

Scientific Programming for Sustainabilit

Students in the Master of Science in Sustainability Science program will encounter a range of scientific problems throughout their Science-specific courses that require a strong working knowledge of computer programming.  This course provides an introduction to scientific programming using Python. Computer coding skills gained in the course will prepare students for coursework in the Master of Science in Sustainability Science program as well as to succeed in a career having a programming component.  Students enrolled in this course will learn through lectures, class discussion, and hands-on exercises that address the following topics:


Basics of computer programming, including precision of variables, arrays and data structures, input/output, control flow, and subroutines.

Applying Python to read common scientific data formats, including NetCDF for gridded climate and other environmental data.

Applying Python for data analysis, with a focus on popular machine learning methods including linear regression, decision trees, neural networks, principal component analysis, and clustering.

Applying Python to visualize scientific data through basic X-Y plots as well as images of data fields on a global map.


This course will train students to analyze and model scientific data using Python in order to better understand current and future environments and their interactions with human systems.  By learning analysis and modeling with Python, students will be better able to inform sustainability policy, management, and decision-making.

• Department: Sustainability Science
• T 4:10 p.m.-6 p.m.
• Instructor: Michael Previdi
  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
• F 2:10 p.m.-4 p.m.
• 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 4:10 p.m.-6 p.m.
• 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
• T 2:10 p.m.-4 p.m.
• R 4:10 p.m.-6 p.m.
• Instructor: Adam Reich
  CULPA: 7 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 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• 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 10:10 a.m.-noon
• 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 12:10 p.m.-2 p.m.
• Instructor: Edwin Y Grimsley
  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.
• Instructor: Thomas Brambor
  h-index: 9 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.
• F 2:10 p.m.-4 p.m.
• Instructor: Mazen Asaad
  Info
• Instructor: Kyle Horn
  Info
• 3 points

PROJECTS IN ADVANCED MACHINE LEARNING

ADV MACHINE LEARNING

Machine learning algorithms continue to advance in their capacity to predict outcomes and rival human judgment in a variety of settings.  This course is designed to offer insight into advanced machine learning models, including Deep Learning, Recurrent Neural Networks, Adversarial Neural Networks, Time Series models and others.  Students are expected to have familiarity with using Python, the scikit-learn package, and github.  The other half of the course will be devoted to students working in key substantive areas, where advanced machine learning will prove helpful -- areas like computer vision and images, text and natural language processing, and tabular data.  Students will be tasked to develop team projects in these areas and they will develop a public portfolio of three (or four) meaningful projects.  By the end of the course, students will be able to show their work by launching their models in live REST APIs and web-applications.

• Department: Quantitative Methods/Social Sciences
• R 6:10 p.m.-8 p.m.
• Instructor: Alexander Peterhansl
  Info
• 3 points

ORAL HISTORY INTERNSHIP

• Department: Oral History
• W 2:10 p.m.-3 p.m.
• Instructor: Amy A Starecheski
  h-index: 5 Info
• 2-4 points

THE AUTHENTIC LEADER

Effective leaders are able to think critically about problems and opportunities, imagine unexpected futures, craft a compelling vision, and drive change. In this course, we study the theoretical underpinnings of leadership communication, relying on empirical evidence as a guide for practice. Students gain important perspective on leadership styles, mastering the competencies required for a variety of contexts.

• Department: Strategic Communication
• M 4:10 p.m.-6 p.m.
• 3 points

Quantum Physics Laboratory

The “Quantum Physics Lab” will give students in the Quantum Science and Technology Masters program hands-on experience in quantum physics and its applications. Students will work in small groups on several distinct experiments through the semester. Each experimental project might last for 3-4 weeks, comprising the steps outlined in the Program below. Initial experimental offerings include: a quantum optics (entangled photon) platform, a Josephson junction experiment, a nitrogen vacancy (NV) center for direct manipulation of quantum states, along with experiments on nuclear magnetic resonance, quantum conductance and the quantum Hall effect. We expect to add additional experiments in the near future.

Students will observe and measure fundamental quantum behaviors, reinforcing material they are learning in the Masters lecture courses, while simultaneously being introduced to forefront technology that will be the basis of the second “quantum revolution” that could eventually lead to revolutionary applications in electronics, computing, energy technology and medical devices.    

Program:

1 x 230 min lab meeting per week (small group work)

Background research on selected experiments, and associated physics and instrumentation

Data analysis, discussions with instructor and teaching assistants

Project writeups and presentations

• Department: Physics
• M 1:10 p.m.-5 p.m.
• Instructor: Abhay N Pasupathy
  CULPA: 10 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
• R 12:10 p.m.-2 p.m.
• Instructor: Lilian Ore
  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
• T 2:10 p.m.-5 p.m.
• Instructor: Oscar Frasser
  Info
• 4 points

APPLIED ANALYTICS IN ORGANIZATIONAL CONT

APP AN IN ORG CONTEXT

• Department: Applied Analytics
• R 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• S 10:10 a.m.-noon
• R 8:10 p.m.-10 p.m.
• M 6:10 p.m.-8 p.m.
• F 10:10 a.m.-2 p.m.
• R 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Jisang Pack
  Info
• Instructor: Lori Cenci
  Info
• Instructor: Anjana Bhattacharyya
  Info
• Instructor: Huan Liu
  Info
• Instructor: Panagiotis Tarhanidis
  Info
• Instructor: Joseph R Schlosser
  Info
• Instructor: Ashoke S Bhattacharjya
  Info
• Instructor: David Kreutter
  Info
• 3 points

VALUE-BASED ENTERPRISE RISK MANAGEMENT

VALUE-BASED ERM

Foundational ERM course. Addresses all major ERM activities: risk framework; risk governance; risk identification; risk quantification; risk decision making; and risk messaging. Introduces an advanced yet practical ERM approach based on the integration of ERM and value-based management that supports integration of ERM into decision making. Provides a context to understand the differences between (a) value-based ERM; (b) traditional ERM; and (c) traditional "silo" risk management.

• Department: Enterprise Risk Management
• M 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Duncan Campbell
  Info
• Instructor: David A. Bartholomew
  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 9:30 a.m.-12:30 p.m.
• Instructor: Andrew S Bienen
  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
• Instructor: Louis Weltmann
  Info
• 3 points

SELF & OTHER IN CLIN ENCOUNTER

TBD

• Department: Narrative Medicine
• M 2:10 p.m.-5 p.m.
• Instructor: Michael E Davidovits
  Info
• 4 points

Leadership and Team Dynamics

This course introduces students to the core principles of effective leadership and collaborative team performance in organizational settings. Through a practical, evidence-based approach, the course examines how leaders influence outcomes, foster engagement, and navigate challenges in dynamic, multidisciplinary environments. Students will explore leadership qualifications, strategic decision-making, ethical considerations, and performance development frameworks. Emphasis is placed on understanding the dynamics of team formation, multicultural collaboration, communication, conflict management, and high-performance team practices.

As a central component of the Project Management curriculum, this course supports the program’s larger goal of preparing graduates to lead effectively in diverse and evolving organizational contexts. By grounding students in evidence-based leadership concepts and team effectiveness frameworks, the course advances the discipline’s primary principles of organizational performance, collaboration, and responsible decision-making. The course aligns closely with other program requirements by complementing technical project management competencies with the interpersonal and strategic skills necessary for successful project execution. In doing so, it bridges technical expertise with leadership acumen, equipping students with a holistic foundation for professional growth.

This is a required core course for all Project Management students and is delivered in person on campus in a full-semester format. Space permitting, the course may also be open to cross-registrants from other Columbia University graduate programs where leadership, management, and teamwork skills are relevant, such as programs in management, public administration, and engineering. There are no formal prerequisites, though prior exposure to management or organizational behavior may be helpful in engaging with course materials. Students will participate in selected readings, interactive discussions, and team-based exercises, as well as hear from guest lecturers with extensive leadership experience. By the end of the course, students will have strengthened their ability to lead ethically, communicate clearly, manage team dynamics, and contribute meaningfully to organizational goals.

• Department: Project Management
• T 6:10 p.m.-8 p.m.
• 3 points

PAINTING I

• Department: Visual Arts
• M 10 a.m.-4 p.m.
• F 10 a.m.-4 p.m.
• Instructor: Dana J Lok
  Info
• Instructor: Kenny Rivero
  Info
• 3 points

Insurance Management Student Community C

IMGT SCC

Insurance Management Student Community Center helps facilitate remote pre-residency requirements and preparatory activities to preserve the limited in-person time we have during the residency for other activities. Given that we are a remote program, this is the most effective way to introduce, assign, inform and track new student activity prior to starting the core courses. The use of a dedicated site helps the students practice using the LMS, in addition to acclimating to Columbia, the faculty and the resources. The activities in which the students participate for the residency are critical to their success in the 16-months of remote learning in which they engage. Recordings and other materials are provided to students in continuity with completed activities and the site is also used as a general communications tool with the students outside of the dedicated Canvas courses.

• Department: Insurance Management
• 0 points

UNDERSTAND CONFLICT & COOPERATION

UNDERSTAND CONFL & COOPER

• Department: Negotiation & Conflict Resolution
• 3 points

Histology & Pathology

• Department: Dental and Oral Surgery
• 0 points

PSYCHIATRIC MEDICINE

• Department: Dental and Oral Surgery
• 0 points

PAINTING II

• Department: Visual Arts
• W 10 a.m.-4 p.m.
• 3 points

Wealth Management Student Community Cent

WMGT Student Community Ce

The Wealth Management Student Community Center helps facilitate remote pre-residency requirements and preparatory activities to preserve the limited in-person time we have during the residency for other activities. Given that we are a remote program, this is the most effective way to introduce, assign, inform and track new student activity prior to starting the core courses. The use of a dedicated site helps them practice using the LMS, in addition to acclimating to Columbia, the faculty and the resources. The activities in which the students participate for the residency are critical to their success in the 16-months of remote learning in which they engage. Recordings and other materials are provided to students in continuity with completed activities and the site is also used as a general communications tool with the students outside of the dedicated Canvas courses.

• Department: Wealth Management
• MTW 8:30 a.m.-5:30 p.m.
• 0 points

SAFETY IN THE CONSTRUCTION INDUSTRY

SAFETY IN THE CONSTR INDU

.

• Department: Construction Administration
• T 6:10 p.m.-8 p.m.
• Instructor: Joseph Schwed
  Info
• 3 points

Molecular Mechanisms

MOLECULAR MECHANISM HLTH/DISEA

• Department: Dental and Oral Surgery
• Instructor: Jonathan M Barasch
  Info
• 0 points

LEGAL ISSUES IN BUILDING CONSTRUCTION

• Department: Construction Administration
• W 6:10 p.m.-8 p.m.
• Instructor: Tim Hegarty
  Info
• 3 points

CLINICAL GROSS ANATOMY

• Department: Dental and Oral Surgery
• 0 points

INTRODUCTION TO NEGOTIATION

• Department: Negotiation & Conflict Resolution
• 3 points

Project Management Fundamentals: Analyti

PMGT FUNDAMENTALS: ANALYT

This core course introduces students to the quantitative, and analytical foundations of project management, with emphasis on the application of mathematical, and systems-based methods to the planning, execution, and control of complex projects. The course is designed for projects in quantitatively intensive environments such as engineering, technology, construction, consulting, and related sectors where structured planning, measurement, and optimization are essential.

Students develop practical skills in project selection and initiation, scope definition, network-based scheduling, resource allocation, cost and budget modeling, and performance measurement using established analytical techniques. Core topics include work breakdown structures, logic networks, critical path and PERT analysis, resource loading and leveling, financial and life-cycle cost analysis, earned value management, and probabilistic risk assessment, including Monte Carlo–based uncertainty analysis.

Through computational exercises, analytical simulations, and applied projects, students learn to model constraints, evaluate trade-offs, and interpret performance data to support decision-making throughout the project life cycle. By emphasizing structured methodologies and analytical rigor, the course prepares students to manage technically complex, data-rich projects across a range of industries.

• Department: Project Management
• R 6:10 p.m.-8 p.m.
• Instructor: Evangelia Ieronymaki
  Info
• 3 points

Organizational Conflict and Mediation

Org. Conflict & Meditatio

Organizations have adopted formal approaches, such as establishing grievance committees and ombudsman's offices, to mediate conflicts in the workplace setting and, on occasion, hire outside, independent mediators to handle escalated conflicts and public-facing disputes. Attempts to mediate conflict, though, are much more widespread in organizations than these formal approaches would suggest and are often undertaken by professionals from a wide variety of disciplines who have no formal training in mediation. Increasingly, such professionals are tasked to manage conflicts — whether their field is finance, marketing, social media or human resources — and are evaluated in performance reviews on their ability to perform this task. Professionals today must be prepared to acquire the knowledge and skills of a mediator to meet the expectations of the organization. 

With that end in mind, this course is designed for professionals who find themselves frequently having to intervene in conflicts between or among others. Although these professionals may choose to become full-time mediators, they are more likely to use mediation principles and techniques as additional tools to help them within their chosen fields of work, be it in public policy, social media, human resources, international development, peace-building or law. This course will aid professionals who wish to become skilled conflict practitioners, constructively managing conflict between or among people or groups with whom they engage.

This course is an elective in the NECR Program. It is open, space permitting, to cross-registrants from other fields and Columbia University schools and programs. There is no prerequisite knowledge or coursework to register for the course; however, if you have not taken a course in negotiation or studied that field, please contact the instructor. The course is delivered in-person on campus; participation by Zoom is not permitted. The course is semi-intensive and delivered over a partial semester.

• Department: Negotiation & Conflict Resolution
• 3 points

THE BODY IN HEALTH & DISEASE I

• Department: Dental and Oral Surgery
• 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
• 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

Project Planning, Scheduling and Control

PRJCT PLANNING, SCHED, CN

This course provides graduate students with an in-depth exploration of project controls and schedule-based decision support with the project schedule treated as a management and control model rather than as a technical output. The course emphasizes deterministic and analytical modeling methods, including Critical Path Method (CPM), network-based optimization, schedule performance metrics, earned value analytics, and quantitative forecasting techniques, positioning the project schedule as a formal analytical model rather than a descriptive artifact. Primavera is used as an implementation and analysis tool to support schedule development, updating, performance measurement, and forecasting across diverse industries. The course equips students with the analytical, technical, and control-oriented skills, methodologies, and frameworks needed to manage projects effectively, ensuring completion on time, within budget, and according to specifications. Through a combination of standards-based analysis, software application, case studies, and practical assignments, students will develop the ability to build, baseline, update, interpret, and communicate schedules to monitor performance through KPIs, evaluate progress, and make informed decisions across the project lifecycle. Throughout the course, students are required to interpret what the schedule communicates to management, including the meaning of variances, implications of forecasts, and recommended corrective actions, rather than solely producing technical files or reports.

Designed for students pursuing advanced studies in project management, engineering management, construction management, and related professional tracks, this course is particularly valuable for those seeking careers that require deep expertise in planning, scheduling, and project controls. Emphasis is placed on developing mastery of schedule development, critical path analysis, resource and cost loading, progress measurement, forecasting, and schedule risk and change analysis as a component of an integrated project controls function, using industry-standard tools and methods. Building on foundational project management concepts, the course provides specialized training in schedule-centric project controls and equips students with the analytical, technical, and communication skills needed to design, manage, analyze, and govern complex project schedules as decision-support instruments across diverse industries.

This course prepares students for professional roles such as project cont

• Department: Project Management
• W 6:10 p.m.-8 p.m.
• 3 points

Technology Integration in Project Manage

TECH INTEGRATION IN PMGT

Technology Integration in Project Management
explores the real-world adoption of digital transformation within complex project environments, moving beyond theoretical frameworks to provide a fully immersive and experiential learning environment. The course is uniquely structured as
Scrum sprints
, where students operate within standard agile events, roles, and artifacts to analyze and compare industry-leading Project Management Information Systems (PMIS). We will also explore waterfall and/or hybrid approaches throughout the course. Students will gain hands-on proficiency in platforms such as
Jira, Asana, Smartsheet, and Trello
, while simultaneously integrating data analytics tools like
Power BI
to monitor performance and enhance decision-making accuracy in Project, Program and Portfolio Management.

As an elective within the Master of Science in Project Management program, this course is designed for practitioners who wish to lead digitally driven organizations with efficiency and innovation. It serves a critical programmatic goal by bridging the gap between foundational project management methodologies and the high-tech execution required in the modern workforce. Another distinctive feature of this course is the mandatory and continuous evaluation of
Artificial Intelligence (AI) technologies
; students are required to leverage generative AI and automation tools to streamline project delivery, simulating the real-world evolution of value delivery.

The course is a three-credit, full-semester elective delivered in an
in-person modality
. While tailored for Project Management students, it is open to cross-registrants from other Columbia University graduate programs, provided space is available. There are no formal prerequisites; however, students are expected to have a basic understanding of project lifecycles and a willingness to engage in an open and collaborative environment where rapid and iterative technical learning occurs. All technology platforms required for the sprint cycles will be accessible through university licenses or open-access academic versions.

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

Finance for Technology Leaders

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.
• Instructor: Hsing-Hsing Li
  Info
• 3 points

Settler Colonialism

This course examines the relationship between colonialism, settlement and anthropology and the specific ways in which these processes have been engaged in the broader literature and locally in North America. We aim to understand colonialism as a theory of political legitimacy, as a set of governmental practices and as a subject of inquiry. Thus, we will re-imagine North America in light of the colonial project and its technologies of rule such as education, law and policy that worked to transform Indigenous notions of gender, property and territory. Our case studies will dwell in several specific areas of inquiry, among them: the Indian Act in Canada and its transformations of gender relations, governance and property; the residential and boarding school systems in the US and Canada, the murdered and missing women in Juarez and Canada and the politics of allotment in the US. Although this course will be comparative in scope, it will be grounded heavily within the literature from Native North America.

• Department: Anthropology
• F 12:10 p.m.-2 p.m.
• Instructor: Audra Simpson
  CULPA: 5 Wikipedia Info
• 4 points

Full-Stack Products and Practices

Full-Stack Products & Pra

This course provides a comprehensive examination of modern software product development, focusing on creating solutions that address clear user needs and challenges. A “product” in this context refers to a software program that instructs computer hardware to operate, solve problems, and manage tasks effectively.

Modern product development benefits from systematic practices that enhance efficiency, sustainability, and continuity. These practices, including flexibility, iterative development, customer feedback, and efficient project management, are essential for adapting quickly to rapidly evolving market and technology landscapes.

• Department: Technology Management
• M 6:10 p.m.-8 p.m.
• 3 points

Research in Economics

This is a required course that facilitates the capstone research paper writing process for second-year students enrolled in the M.A. Program in Economics. The research paper provides an opportunity to write a substantial piece of academic work in which the student is expected to demonstrate mastery of a field, along with the ability to think originally and to convey results clearly in writing.

• Department: Economics
• W 4:10 p.m.-6 p.m.
• Instructor: Seyhan Erden
  CULPA: 7 Info
• 1 points

METHODS: CLOSE READING & CREATIVE WRITIN

METHODS: CLOSE RDNG & CRT

TBA

• Department: Narrative Medicine
• 3 points

METHODS: CLOSE READING & CREATIVE WRITIN

METHODS: CLOSE RDNG & CRT

TBA

• Department: Narrative Medicine
• 3 points

Leadership & Professional Development fo

NOPM Professional Develop

Investing in professional growth is essential to building strong, adaptive, and innovative nonprofit organizations. Columbia University's M.S. in Nonprofit Management Professional Development Series is an online, bi-weekly, zero-credit seminar class that helps students stay current with best practices, navigate complex challenges, improve organizational sustainability, and enhance their impact in the communities they serve. Students will increase their networks and connect with potential mentors and employers while hearing how they can leverage the M.S. in Nonprofit Management degree in their own careers.

The course, which is a co-registration requirement for NOPM students taking Capstone, is open to all NOPM students and for cross-registration.

• Department: Non Profit Management
• F noon-1 p.m.
• Instructor: Basil A Jr Smikle
  Info
• 0 points

Finance and Accounting for Project Manag

FIN & ACCOUNTING PROJ MAN

This course is designed for Project Management professionals looking to understand how the management of a project affects the overall accounting and financing functions of an organization.  This course will also provide an understanding of interpreting financial information that is generated by an organization and being able to compare, contrast and benchmark against similar types of companies.

This course will allow participants in the program to understand the importance of the finance and accounting functions of an organization by teaching them how to read financial statements and related footnotes, obtain an understanding of basic accounting functions and terminology and introduce the participant on how to create and analyze budgets for individual project metrics and as well as overall company metrics.  The course is also designed to integrate the participants with the program disciplines of project management including project design, project delivery and legal aspects.  The course will also promote ideology of working in teams as the final assignment will be group presentations of a multi-faceted development project anchored by a minor league baseball facility, surrounding commercial and hospitality space and multi-unit residential subdivision.  Teams will develop project budgets for each phase of the project. The teams will address how each aspect of the project will benefit the owner of the sports entertainment facility, address sustainability management and how technology and AI from the design and planning phase through the utilization and maintenance phase effects the financing of the project.  Each group will customize their presentations from a case study provided by the instructor.

This is a required core class of the degree program and can be offered to other degree programs and certificates related to the development or investment in ground up and or rehabilitation projects.  There is no prerequisite knowledge required to take this course.  The course is a full semester in person/on campus class but will have an online and historical recording of all classes for those unable to attend any given class session or lecture.

• Department: Project Management
• M 6:10 p.m.-8 p.m.
• Instructor: William Fischer
  Info
• 3 points

THE TECHNOLOGY OF RENEWABLE ENERGY

Students are expected to have completed a year of high school physics and chemistry.  It would be best to have also taken college level physics and chemistry.

Renewable energy is generated from natural processes that are continuously replenished.  Aside from geothermal and tidal power, solar radiation is the ultimate source of renewable energy.  In order to have a sustainable environment and economy, CO2 emissions must be reduced (and eventually stopped).  This requires that the fossil fuel based technologies underlying our present electricity generation and transportation systems be replaced by renewable energy.  In addition, the transition to renewable technologies will move nations closer to energy independence and thereby reduce geopolitical tensions associated with energy trading. This course begins with a review of the basics of electricity generation and the heat engines that are the foundation of our current energy systems.  This course will emphasize the inherent inefficiency associated with the conversion of thermal energy to electrical and mechanical energy. The course then covers the most important technologies employed to generate renewable energy.  These are hydroelectric, wind, solar thermal, solar photovoltaic, geothermal, biomass/biofuel, tidal and wave power. The course ends with a description of energy storage technologies, energy markets and possible pathways to a renewable energy future.

• Department: Sustainability Science
• M 6:10 p.m.-8 p.m.
• Instructor: Jonathan Hollander
  Info
• 3 points

Technology for Good and Civic Technology

Tech for Good and Civic T

This course equips the next generation of technologists with the skills, strategies, and savvy needed to secure systemic and lasting change for social good. These topics are examined in three units: 1. Intrapreneurship: how to guide responsible technology within and by multinationals and other large-scale, risk-averse institutions; 2. Entrepreneurship & Nonprofits: how to balance market pressures with values-based missions within startups, nonprofits, and other social-good tech enterprises; and 3. Civic Tech: how to navigate policy, politics, and bureaucracies in delivering citizen-facing technologies within local, regional, and national government bodies.

• Department: Technology Management
• T 6:10 p.m.-8 p.m.
• 3 points

POPULAR & HISTORICAL GESTURES: FIGURE DR

POP. & HIST. GESTURES: FI

Popular and Historical Gestures explores the fundamental properties of figure drawing and portraiture through the lens of pop culture and historical gestures and poses. Students examine the figure in painting, documentary photography, art history, and literature, and then use these examples as sources for live model sessions, studio practice, and discussions. Students will work on self-directed projects and from live models. There are one-on-one and group discussions, as well as individual critiques with the instructor. Class time will include image presentations, discussions, museum trips, individual and group critiques, and in-class independent work time. Each class will begin with a homework critique and a discussion, lecture, or demonstration structured around a specific goal. Students will then work individually. Each class will end with brief individual and group critiques to allow students to see and discuss each other's work.

• Department: Visual Arts
• T 10 a.m.-4 p.m.
• Instructor: David A Cruz
  Info
• 3 points

INTRAPERSONAL DYNAMICS & CONFLICT

• Department: Negotiation & Conflict Resolution
• 3 points

Project Management Capstone Project

PMGT CAPSTONE PROJECT

The Capstone Project is the culminating integrative experience of the MS in Project Management program. Students are expected to enter the course prepared to apply quantitative reasoning, structured planning methods, and financial analysis to complex project environments.

Working in teams, students engage in a complex real or realistic project scenario and design an integrated project strategy or applied analytical study that addresses a significant real world challenge in project management. Capstone projects are organized around the concentrations offered within the program, including Construction, Technology, Sports, and Sustainability. Students enrolled in a specific concentration will work on a project aligned with their track. Students in the General track may elect to participate in one of the concentration based projects or may be assigned to a cross sector project depending on availability and enrollment distribution.

Projects may be sourced from industry partners when available. When industry collaboration exists, it may include document access, advisory input, or structured feedback. When no external sponsor is involved, faculty curated materials and case documentation will be provided.

The course emphasizes rigorous problem definition, stakeholder analysis, structured evaluation, and evidence based decision making. Students are expected to integrate quantitative and qualitative reasoning, financial and operational considerations, risk awareness, governance design, and performance evaluation into a coherent and defensible strategy. Through faculty mentorship and peer collaboration, students progressively develop their work into a final written deliverable and executive level presentation that demonstrate professional readiness, analytical maturity, and leadership capacity in complex project environments.

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

Strategic Advocacy

Today, leaders must confront a world of volatility, uncertainty, complexity, and ambiguity. It demands that we strengthen how we lead change. We are all being stretched to learn, unlearn, relearn, and this is especially true for technology leaders – who operate in the ‘eye of the storm’ of relentless change. 

In this context, strategic advocacy -- achieving support for change to address the challenges that confront an organization and the opportunities they provide – requires knowing and applying useful skills, behavior, and practices to win commitment to new, even unanticipated directions.

This is a full-semester core course in the MS in Technology Management executive program designed to expose students to practices, tools, frameworks, concepts, and real-world examples that will help you move from a technical/functional role to a senior executive orientation. Everyone’s journey is unique. As you apply the course content in real life you will be expected to choose, experiment with, and adapt the relevant approaches most meaningful to your situation.

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

Essentials for Technology Management and

Essentials for Tech Mgmt.

This 3-credit core course in the M.S. in Technology Management program provides an overview of the strategic role of the technology function to improve business processes, drive transformations, and fuel innovation. Through lectures and applied case study work, students will learn how to develop and keep technology strategies aligned with business goals, navigate governance, regulatory, and budgetary frameworks, and evaluate risks to protect the organization’s IT investments.

• Department: Technology Management
• W 4:10 p.m.-6 p.m.
• T 4:10 p.m.-6 p.m.
• M 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Shahryar Shaghaghi
  Info
• 3 points

Water and Soil Monitoring to Protect Pub

THRU ENV MEAS H20 SOIL & AIR

The course will provide students with the methods and tools to understand, monitor, and analyze current environmental health threats in water and soil, and explore strategies for solving these complex challenges. Students will leave the course with a stronger sense of the power, and limitations, of environmental data and will be better equipped to evaluate and communicate the effectiveness of environmentally responsible policies. After completing the course, students will be able to apply basic scientific principles to evaluate and address public health challenges posed by water and soil pollution.

• Department: Sustainability Science
• M 4:10 p.m.-6 p.m.
• Instructor: Lex Van Geen
  Info
• 3 points