SUPPLY CHAIN RISK MANAGEMENT FOR NON-FIN
SUPPLY CHAIN RM FOR NON-F
The Pandemic made us all aware of the fragility of supply chains and how significant the consequences of failure of our supply chains can be. It is paramount to note that global and local economies can break down, and scarcity of essential resources can foment wars. Risk professionals must know what best practices bring security to supply chains and related companies, governments, and other institutions.
Students taking this course are prohibited from taking Third-Party Risk Management (ERMC PS5575) at any time. Contact your advisor for more information.
- Department: Enterprise Risk Management
- R 6:10 p.m.-8 p.m.
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Instructor:
Dan Cahill
Info - 3 points
STRATEGY AND ANALYTICS
n/a
- Department: Applied Analytics
- W 6:10 p.m.-8 p.m.
- M 6:10 p.m.-8 p.m.
- T 8:10 p.m.-10 p.m.
- F 2:10 p.m.-4 p.m.
- F 10:10 a.m.-noon
- R 6:10 p.m.-8 p.m.
- R 8:10 p.m.-10 p.m.
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Instructor:
Ron Papka
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Instructor:
Arunava Bhattacharyya
Info -
Instructor:
Ranjit Kumble
Info -
Instructor:
Peter Went
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Instructor:
Lisa Godek
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Instructor:
Ashoke S Bhattacharjya
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Instructor:
Huan Liu
Info - 3 points
STRATEGY AND ANALYTICS
STRATEGY AND ANALYTICS ONLINE
n/a
- Department: Applied Analytics
- T 6:10 p.m.-8 p.m.
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Instructor:
David Kreutter
Info - 3 points
CANCER BIOETHICS
Cancer is the second leading cause of death in the US and most affluent countries. It represents a complex group of
diseases with heterogeneity in biology, incidence, prevalence, and outcomes. And unlike other complex and
potentially life-threatening maladies, a cancer diagnosis is regularly received by patients as a death sentence. It
elicits dread, despair, hopelessness, and sometimes stigma in patients and their families. The emotional toll of a
cancer diagnosis and vulnerability that ensues, can profoundly impact patients’ approaches to research and
treatment.
The Cancer Bioethics course offers a comprehensive exploration of the diverse ethical issues that arise in the context
of cancer care and research, providing students with an analytic framework for complex moral dilemmas faced by
patients, clinicians, researchers, and policymakers. Through case studies, theoretical discussions, and critical
analysis, students will employ key bioethical principles and their application to cancer care - from diagnosis to
survivorship or decisions about end-of-life care. Topics will include unique ethical challenges in oncology such as
the “right not to know” and other challenges associated with disclosures of genomic testing of cancer; the moral
uncertainty of conducting research in minors diagnosed with cancer and the downstream use of their oncologic data;
the unbridled optimism and therapeutic illusion among a number of cancer specialists; therapeutic misconception
among participants in oncologic clinical trials; and the increasing integration of artificial intelligence into new
models of cancer care and prognostication. The course will also examine the intersection of social determinants of
health, cultural beliefs and value systems, and healthcare access, addressing the ethical concerns of disparities in
cancer care.
The course incorporates curricular elements of clinical ethics, law and bioethics, research ethics, reproductive ethics,
pediatric ethics, global ethics, environmental ethics, race and bioethics, organ transplant ethics, health policy and
bioethics, etc. This is an elective course open to cross-registrants from other fields and/or Columbia University
programs. Students do not need to have medical background to take this course. Students pursuing a degree in
medicine or pre-medicine, nursing, behavioral sciences, biotechnology, genetics, data science, public policy,
journalism, law, and governme
- Department: Bioethics
- M 5:45 p.m.-7:45 p.m.
- 3 points
CAPSTONE
The Capstone Project is an opportunity for students to synthesize and apply learnings from throughout the Strategic Communication program. Under the guidance of expert advisers, you’ll investigate a real-world communication issue, devising solutions and strategies that bridge the gap between theory and practice.
- Department: Strategic Communication
- R 6:10 p.m.-9 p.m.
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Instructor:
Mark Truss
Info - 3 points
Intro Darkroom Photography
Introductory course to analog photographic tools, techniques, and photo criticism. This class explores black & white, analog camera photography and darkroom processing and printing. Areascovered include camera operations, black and white darkroom work, 8x10 print production, and critique. With an emphasis on the student’s own creative practice, this course will explore the basics of photography and its history through regular shooting assignments, demonstrations, critique, lectures, and readings. No prior photography experience is required.
- Department: Visual Arts
- TR 10 a.m.-12:40 p.m.
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Instructor:
Dana N Buhl
Info - 3 points
AI & PHOTOGRAPHY
As far back as Walter Benjamin’s “work of art in the age of mechanical reproduction” (1935), photography has always been challenged by
mechanical means
of image processing. Photographers and Institutions have first resisted and then (mostly) embraced each of these changes. This class explores Artificial Intelligence Photography as the latest in a series of earthquakes in the history of the photographic image, accompanying the desires of business, globalization, and science. This class seeks an ethically guided, globally representative model for photography and artificial intelligence. Debates around authorship and creativity (e.g., Supreme Court case with Andy Warhol) now face a radically new context of an “authorless” photograph. As crowdsourced imagemaking begins, the bias of massive datasets have taken techno-utopians by surprise, underlining that the task of building an equitable image-bank of the world cannot be left to algorithms and entrepreneurs. This class will explore the ethics and aesthetics of Artificial Intelligence and Imagery. There will be equal emphasis on reading and writing papers, as there will be on learning new software and tools.
- Department: Visual Arts
- MW 1:10 p.m.-3:40 p.m.
- 3 points
PROPERTY/CASUALTY
PROPERTY & CASUALTY
- Department: Actuarial Science
- W 6:10 p.m.-8:55 p.m.
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Instructor:
Mark Hoffmann
Info - 3 points
SOLAR PROJECT DEVELOPMENT
TBA
- Department: Sustainability Management
- W 6:10 p.m.-8 p.m.
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Instructor:
Daniel J Giuffrida
Info - 3 points
ANALYTICS & LEADING CHANGE
ANALYTICS & LEADNG CHNG ONLINE
- Department: Applied Analytics
- M 6:10 p.m.-8 p.m.
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Instructor:
David Kreutter
Info - 3 points
Intro to Digital Photography
Since Walter Benjamin’s concept of “work of art in the age of mechanical reproduction” (1935), photography has been continuously changed by mechanical, and then digital, means of image capture and processing. This class explores the history of the image, as a global phenomenon that accompanied industrialization, conflict, racial reckonings, and decolonization. Students will study case studies, read critical essays, and get hands-on training in capture, workflow, editing, output, and display formats using digital equipment (e.g., DSLR camera) and software (e.g., Lightroom, Photoshop, Scanning Software). Students will complete weekly assignments, a midterm project, and a final project based on research and shooting assignments. No Prerequisites and no equipment needed. All enrolled students will be able to check out Canon EOS 5D DSLR Camera; receive an Adobe Creative Cloud license; and get access to Large Format Print service.
- Department: Visual Arts
- TR 10:10 a.m.-12:40 p.m.
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Instructor:
Karen Dias
Info - 3 points
STAT INFERENCE & MODELING
Prerequisites: (STAT GR5701) working knowledge of calculus and linear algebra (vectors and matrices), STAT GR5701 or equivalent, and familiarity with a programming language (e.g. R, Python) for statistical data analysis. In this course, we will systematically cover fundamentals of statistical inference and modeling, with special attention to models and methods that address practical data issues. The course will be focused on inference and modeling approaches such as the EM algorithm, MCMC methods and Bayesian modeling, linear regression models, generalized linear regression models, nonparametric regressions, and statistical computing. In addition, the course will provide introduction to statistical methods and modeling that addresses various practical issues such as design of experiments, analysis of time-dependent data, missing values, etc. Throughpout the course, real-data examples will be used in lecture discussion and homework problems. This course lays the statistical foundation for inference and modeling using data, preparing the MS in Data Science students, for other courses in machine learning, data mining and visualization.
- Department: Statistics
- TR 6:10 p.m.-7:25 p.m.
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Instructor:
Dobrin Marchev
Info - 3 points
Advanced Darkroom Photography
Advanced analog photography & darkroom printing. Students will work with analog cameras and learn how to refine black-and-white printing techniques, produce larger prints, etc. Emphasis will be placed on the editing, sequencing, and display of images while cultivating a theoretical and historical context to situate the work. Students will engage with an array of photographic practices through presentations, critiques, guest artist lectures and printing assignments. This course will explore critical issues in contemporary photography and advanced camera and production techniques through regular shooting assignments, demonstrations, critique, lectures, readings, and field trips. Prerequisites:
Intro Darkroom Photography
(Columbia) or equivalent experience
- Department: Visual Arts
- MW 10:10 a.m.-12:40 p.m.
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Instructor:
Delphine A Fawundu
Wikipedia Info - 3 points
Electrification and Decarbonization
Electricity is the lifeblood of human society. Decarbonization of global economies through electrification is seen as the most viable path for reducing GHG emissions and addressing the worst effects of climate change. Though generally accepted as the best path forward, an understanding of the operational parameters of the electric system is essential to understanding both the benefits and limitations of current and future actions. This includes the highly visible investments in renewable energy generation, less visible but equally important investments in transmission and distribution infrastructure, and the largely personal, private choices of individual households and businesses.
The course will examine pathways for the transition from fossil fuel-based electricity generation to one dominated by electricity generated by renewable energy. Students will examine the drivers of past energy transitions and various factors influencing current energy systems. At the conclusion of the course, students will be able understand the drivers of past energy transitions, the impact of those drivers on the overall energy supply chain, and how new technologies (e.g. distributed energy resources, smart meters, internet of things (IOT), etc.), consumer adoption of mass market products (e.g. Electric Vehicles, battery backup, etc,) and evolving consumer expectations (e.g. fast charging) are altering long held assumptions about energy production and use. Through this work, students will be able to infer practical steps to support current efforts to decarbonize and the potential impacts of those actions on the modern energy supply chain.
- Department: Sustainability Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Rory Christian
Info - 3 points
Business and Climate Change: Law, Policy
This course will provide students with an understanding of the ways and extent to which climate change law and policy is relevant to businesses, as well as the role of sustainability professionals in practical implementation. The course is divided into several core topics, including: (i) an overview of international and U.S. climate change policy and law, including the Paris Agreement, the Inflation Reduction Act and energy transition policy support, and human rights/environmental justice; (ii) market-led, voluntary initiatives such as the Task Force on Climate-related Financial Disclosures (TCFD), and related developments including the mainstreaming of ESG investing, sustainable finance, and the proliferation of corporate net zero goals; (iii) corporate governance, shareholder activism, and the emergence of mandatory regulation on climate disclosures, such as the E.U.’s Taxonomy Regulation and the U.S. Securities & Exchange Commission’s proposed climate disclosure rule; (iv) carbon pricing, carbon markets, and “offsets”; (v) greenhouse gas emissions accounting and data challenges; and (vi) climate-related litigation and enforcement actions against corporations and financial institutions in the U.S. and other key markets, including “greenwashing” litigation and “anti- energy company boycott” investigations by several U.S. states.
- Department: Sustainability Management
- T 4:10 p.m.-6 p.m.
- 3 points
STORYTELLING WITH DATA AND AI
STORYTELLING WITH DATA AI
Data does not have meaning without context and interpretation. Being able to effectively present data analytics in a compelling narrative to a particular audience will differentiate you from others in your field. This course takes students through the lifecycle of an analytical project from a communication perspective. Students develop written, verbal, and visual deliverables for three major audiences: data experts (e.g., head of analytics); consumer and presentation experts (e.g., chief marketing officer); and executive leadership (e.g., chief executive officer).
Students get ample practice in strategic interactions in relevant social and professional contexts (e.g., business meetings, team projects, and one-on-one interactions); active listening; strategic storytelling; and creating persuasive professional spoken and written messages, reports, and presentations. Throughout the course, students create and receive feedback on data storytelling while sharpening their ability to communicate complex analytics to technical and nontechnical audiences with clarity, precision, and influence.
- Department: Applied Analytics
- W 6:10 p.m.-8 p.m.
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Instructor:
Scott A Spencer
Info - 3 points
Topics in Nursing Practice
TOPICS IN NURSING PRACTIC
This course is designed to introduce pre-licensure students to relevant and emergent topics which affect the practice of nursing in the national and international healthcare system. The focus will be on issues confronting professional nurses including global health, cultural awareness, gender identity, and evidence-based wellness. State mandated topics for licensure will be covered.
- Department: Nursing
- 0 points
VISITING ARTIST LECT. II
Visiting artists and critics are invited over the course of the academic year to give a one-hour lecture followed by discussion, and conduct 3 40-minute studio visits. These lecturers will join the previously listed Visiting Critics and will be available as one of your allotted studio visits each semester.
- Department: Visual Arts
-
Instructor:
Miya Masaoka
Wikipedia Info - 0 points
ACTUARIAL METHODS
The Actuarial Methods course explores models for evaluating and managing risks of life contingent contracts, their theoretical basis and applications. Topics include survival models, life insurance and annuity benefits, premium and reserve calculations related to policies on a single life, as well as option pricing. This course also covers materials relevant to the long-term section of the Fundamentals of Actuarial Mathematics (FAM) exam of the Society of Actuaries. This is a core course of the M.S. in Actuarial Science program.
Finance and Sustainability
- Department: Finance
-
Instructor:
Faculty
h-index: 37 Info - 3 points
ADVANCED ACTUARIAL METHODS
The purpose this class is to develop the student’s knowledge of the theoretical basis of certain actuarial models and the application of those models to insurance and other financial risks. A thorough knowledge of calculus, probability, and interest theory is assumed. Knowledge of risk management at the level of Exam P is also assumed.
The combination of these two classes covers the material for the FAM-L and ALTAM examinations of the Society of Actuaries. This is a core class of the Actuarial Science program. Students who have already taken and passed the MLC or LTAM exam for SOA are exempted from this class and can substitute an elective.
- Department: Actuarial Science
- MW 10:10 a.m.-11:25 a.m.
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Instructor:
Abraham Weishaus
Info - 3 points
ACTUARIAL MODELS
This course provides an introduction to the tools for pricing and reserving for short term insurance. We will discuss methods for calculating IBNR reserves, ratemaking, frequency and severity models used for modeling coverage modifications, statistical methods for fitting, evaluating, and selecting parametric models for frequency and severity, and three credibility methods.
This class covers the short-term material of Exam FAM and also covers the material of Exam ASTAM of the Society of Actuaries, and some of the material on Exams MAS I, MAS II, and 5 of the Casualty Actuarial Society. This is a core class of the Actuarial Science program. Students who have already taken and passed the FAM exam (or its short term portion) and the ASTAM exam administered by the SOA are exempted from this class and can substitute an elective.
- Department: Actuarial Science
- MW 1:10 p.m.-2:25 p.m.
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Instructor:
Regina Dolgoarshinnykh
CULPA: 2 Info - 3 points
Building a Scalable Business
- Department: Business
-
Instructor:
Faculty
h-index: 37 Info - 3 points
CRIT ISSUES IN ART II
N/A
- Department: Visual Arts
- T 3 p.m.-5 p.m.
-
Instructor:
Luba Drozd
Info - 3 points
PREDICTIVE MODELING IN FINANCE & INSURAN
PREDICT MODLNG IN FIN & INSRNC
This course introduces to the students, generalized linear models (GLM), time series models, and some popular statistical learning models such as decision trees models as well as random forests and boosting trees. The aim for GLM is to provide a flexible framework for the analysis and model building using the likelihood techniques for almost any data type. The aim for the statistical learning models is to build and predict or understand data structure (if unsupervised) using statistical learning methods such as tree-based for supervised learning and the Principle Component Analysis and Clustering for unsupervised learning. It develops a student’s knowledge of the theoretical basis in predictive modeling, computational implementation of the models and their application in finance and insurance. Tools such as cross-validation and techniques such as regularization and dimension reduction for fitting and selecting models are explored. We also implement these models using a combination of Excel and R.
The class covers the material of Exams, Statistics for Risk Modeling (SRM) and Predictive Analytics (PA) of Society of Actuaries, and some material of Exams, Modern Actuarial Statistics I (MAS-I) and MAS II by the Casualty Actuarial Society. This is a core course for the Actuarial Science students. Students who have already taken and passed the SRM and PA exams administered by the SOA are exempted from this class and can substitute an elective.
DATA SCIENCE IN FINANCE AND INSURANCE
DATA SCIENCE IN FIN & INSURANC
The Data Science in Finance and Insurance course explores machine learning models, their theoretical basis, computing implementation and applications in finance and insurance. Topics include machine learning models for regression, classification and unsupervised learning; tools such as cross validation and techniques such as regularization, dimension reduction and ensemble learning; and select algorithms for fitting machine learning models.
This course offers students an intensive hands-on experience where they combine theoretical understanding, domain knowledge and coding skills to better inform data-driven decision making. Prior exposure to linear algebra, calculus and statistics is helpful. A working knowledge of a spreadsheet program and R is a plus. Students will use spreadsheets and R for validation and prototyping and Python to implement algorithms and apply models to applicable data.
Some topics covered are also relevant to the statistical learning portion of the Society of Actuaries (SOA) and the Casualty Actuarial Society (CAS) curricula, and the quantitative methods section of the Chartered Financial Analyst (CFA) Institute curriculum. This is a core course of the Actuarial Science program.
GRADUATE STUDIO II
N/A
- Department: Visual Arts
-
Instructor:
Miya Masaoka
Wikipedia Info - 3 points
GRADUATE STUDIO II
- Department: Visual Arts
- M 4 p.m.-10 p.m.
-
Instructor:
Miya Masaoka
Wikipedia Info - 3 points
Advanced Data Science Applications in Fi
Adv Data Sci App in Fin a
The Advanced Data Science Applications in Finance and Insurance course covers topics in object-oriented programming with python, the relational theory and relational database navigation with SQL, deep learning (including traditional machine learning tasks, computer vision, recurrent networks, natural language processing, and large language models), as well as interpretable machine learning.
Some topics covered are relevant to the Advanced Topics in Predictive Analytics (ATPA) exam of the Society of Actuaries. Topics in deep learning are also relevant to the statistical learning portion of the Casualty Actuarial Society (CAS) curriculum, and the quantitative methods section of the Chartered Financial Analyst (CFA) Institute curriculum.
Familiarity with machine learning models covered in the Data Science in Finance and Insurance (ACTU PS5841) course is helpful. Prior exposure to linear algebra, calculus, statistics, and a working knowledge of python and spreadsheets are necessary.
GLOBAL CAPITAL MARKET & INVESTMENT
GLOBAL CAPITAL MRKT & INVSTMNT
This course will introduce students to major issues currently of concern to all investors. It can give you the skills to conduct a sophisticated assessment of current issues and debates covered by the popular media as well as more-specialized finance journals. These skills are essential for people who pursues a financial service career, especially in today’s rapidly evolving environment. The material presented in this course are both practical important and intellectually interesting.
This course is consistent with and relevant to Chartered Financial Analyst (CFA) curriculum. It covers all subjects in CFA test and most of problems are in the same format as the CFA examination questions. This course will also provide a foundation for further study in Financial Risk Management and Financial market related courses.
- Department: Actuarial Science
- W 2:40 p.m.-5:25 p.m.
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Instructor:
Leland Wei
Info - 3 points
THESIS DEVELOPMENT SEMINAR
Prerequisites: EEEB G4850. Incoming M.A. students aiming for the thesis-based program are guided through the process of defining a research question, finding an advisor, and preparing a research proposal. By the end of the semester the students will have a written research proposal to submit to potential advisors for revision. Subject to a positive review of the research proposal, students are allowed to continue with the thesis-based program and will start working with their advisor. The course will also provide an opportunity to develop basic skills that will facilitate the reminder of the students stay at E3B and will help in their future careers.
- Department: Ecology, Evolution, and Environmental Biology
- W 10:10 a.m.-noon
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Instructor:
Bekka Brodie
Info - 3 points
Grad Sem II in Sound Art & Related Media
The Graduate Seminar in Sound Art and Related Media is designed to create a space that is inclusive yet focused on sound as an art form and a medium. Class time is structured to support, reflect, and challenge students as individual artists and as a community. The course examines the medium and subject of sound 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 and the specific histories and theories that have arisen when artists engage with sound as a medium and subject in art. The seminar combines discussions of readings and artworks with presentations of students' work and research, as well as site visits and guest lectures.
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. We offer Graduate Seminars in different disciplines, or combinations of disciplines, including moving image, new genres, painting, photography, printmaking, sculpture, as well as in Sound Art in collaboration with the Columbia Music Department through their Computer Music Center. These Discipline Seminars are taught by full-time and adjunct faculty, eminent critics, historians, curators, theorists, writers, and artists.
- Department: Visual Arts
-
Instructor:
Miya Masaoka
Wikipedia Info - 3 points
ARTIST MENTORSHIP / VALS II
This required Visual Arts core MFA curriculum course, comprising two parts, allows MFA students to deeply engage with and learn directly from a wide variety of working artists who visit the program each year.
Lecture Series
The lecture component, taught by an adjunct faculty member with a background in art history and/or curatorial studies, consists of lectures and individual studio visits by visiting artists and critics over the course of the academic year. The series is programmed by a panel of graduate Visual Arts students under the professor's close guidance. Invitations are extended to artists whose practice reflects the interests, mediums, and working methods of MFA students and the program. Weekly readings assigned by the professor provide context for upcoming visitors. Other course assignments include researching and preparing introductions and discussion questions for each of the visitors. Undergraduate students enrolled in Visual Arts courses are encouraged to attend and graduate students in Columbia's Department of Art History are also invited. Following each class-period the conversation continues informally at a reception for the visitor. Studio visits with Visual Arts MFA students take place on or around the week of the artist or critic's lecture and are coordinated and assigned by lottery by the professor.
Artist Mentorship
The Artist-Mentor component allows a close and focused relationship to form between a core group of ten to fifteen students and their mentor. Students are assigned two mentors who they meet with each semester in two separate one-week workshops. The content of each workshop varies according to the Mentors’ areas of expertise and the needs of the students. Mentor weeks can include individual critiques, group critiques, studio visits, visits to galleries, other artist's studios, museums, special site visits, readings, and writing workshops. Here are a few descriptions from recent mentors:
• During Mentor Week we will individually and collectively examine our assumptions and notions about art. What shapes our needs and expectations as artists and the impact of what we do?
• Our week will include visits to exhibition spaces to observe how the public engages the art. Throughout, we will consider art's ability to have real life consequences and the public's desire to personally engage with and experience art without mediation.
• The week will be conducted in two parts, f
- Department: Visual Arts
- T 6 p.m.-9 p.m.
-
Instructor:
Miya Masaoka
Wikipedia Info - 3 points
Geographies of Environmental Justice and
The origin of the American Environmental Justice Movement can be traced back to the emergence of the American
Civil Rights Movement of the 1960s, and more specifically to the U.S. Civil Rights Act of 1964. These historical
moments set the stage for a movement that continues to grow with present challenges and widening of economic,
health and environmental disparities between racial groups and socioeconomic groups. The environmental justice
movement builds upon the philosophy and work of environmentalism, which focuses on humanity’s adverse impact
upon the environment, entailing both human and non-human existence. However, environmental justice stresses the
manner in which adversely impacting the environment in turn adversely impacts the population of that environment.
At the heart of the environmental justice movement are the issues of racism and socioeconomic injustice.
This course will examine the intersections of race, equity, and the environment – focusing on history and the
growing role and impact of the environmental justice movement in shaping new sustainability discourses, ethics,
policies, and plans for the twenty-first century. Environmental Justice embeds various disciplines into its analytical
framework ranging from human geography and history to urban studies, economics, sociology, environmental
science, public policy, community organizing, and more. Drawing from these disciplines, as well as from recent
policies, advocacy, and regulations, students will develop a deeper understanding of equity, sustainability, social
impact, and environmental justice in places and spaces across the nation.
Building on the broadness of environmental justice and sustainability, this course will use the geography lens and
frameworks, building on the concept that geography brings together the physical and human dimensions of the
world in the study of people, places, and environments. Geography will set the stage for us to explore a variety of
environmental justice topics and issues in different regions across the nation, from the Black Belt South to the Rust
Belt to Cancer Alley, New Orleans, and Atlanta; then back to New York City and the metropolitan area, introducing
students to initiatives, policies, stakeholders, research, community groups, and advocacy involved in the
development and implementation of environmental laws, policies, practices, equity-based solutions, and sustainable
infrastructure.
- Department: Sustainability Management
- T 6:10 p.m.-8 p.m.
-
Instructor:
John E Williams
Info - 3 points
PROSEMINAR IN ACTUARIAL SCIENCE
Industry representatives conduct a series of noncredit seminar sessions designed to expose students to the actuarial profession as well as to address a range of topics in actuarial science.
ERM CAPSTONE
Teams will work through a case assignment, demonstrating mastery of key learnings gained throughout the program on an integrated basis. A simulated case study is used: this is a combination of publicly-available information of an actual company and simulated ERM program details, based on a blend of current ERM programs and practices in the marketplace. Each team will assess the case study and recommend enhancements.
- Department: Enterprise Risk Management
- T 6:10 p.m.-8 p.m.
- W 8:10 p.m.-10 p.m.
-
Instructor:
Xue Bai
Info -
Instructor:
David P McCarthy
Wikipedia Info - 3 points
SOUTH ASIA RESEARCH SEMINAR
- Department: Graduate School of Arts and Sciences
-
Instructor:
Syantani Chatterjee
Info - 2-4 points
CAPSTONE: NARRATIVE MEDICINE SCHOLARSHIP
CAPSTONE: NMED SCHOLARSHI
The Narrative Medicine Scholarship Capstone advances students’ scholarly writing on a topic of their choosing in a
dynamic collaborative working group setting. Given the interdisciplinary nature of the field, there are a range of
subjects, methodological approaches, and writing styles, and we will discuss the best approach to to each paper. We
can take up participants’ manuscripts at any stage of the writing process—from scratch, or a paper from another
course or context that you’d like to develop further. You do not have to have a set idea of which writing project you
wish to develop in advance; we can brainstorm together. All students will give and receive constructive feedback to
one another, and all students will receive instructor suggestions/comments/edits throughout the semester as well.
- Department: Narrative Medicine
- T 6:10 p.m.-8 p.m.
- 3 points
DATA SCIENCE CONSULTING
DATA SCIENCE CONSULTING ONLINE
- Department: Applied Analytics
- R 8:10 p.m.-10 p.m.
-
Instructor:
David Shilane
Info - 3 points
CREATIVE CAPSTONE SEMINAR
This capstone seminar supports M.S. students as they develop and complete a substantial creative project in their chosen form (e.g., memoir, fiction, poetry, playwriting, dance, visual, graphic narrative, video, multimedia, hybrid work). Through workshops emphasizing both individual process and community exchange, students will receive peer support and critique. Readings will include essays on creative process and theory and will be assigned as relevant to the individual projects within the group. Students consider matters of process, form, audience, embodiment, and artistic responsibility. In addition to the final project, students will be asked to keep a process journal, occasionally to post to prompts on Courseworks, and to provide a short artist’s statement that situates your work within personal, disciplinary, and social frameworks.
- Department: Narrative Medicine
- W 2:10 p.m.-4 p.m.
- 3 points
Equity Investment Management
- Department: Finance
-
Instructor:
Faculty
h-index: 37 Info - 3 points
INTERNATIONAL ECONOMICS
- Department: Economics
- M 6:10 p.m.-8 p.m.
-
Instructor:
Sebastian Heise
Info - 3 points
INDEPENDENT STUDY
N/A
- Department: Visual Arts
-
Instructor:
Seth Cluett
h-index: 4 Info -
Instructor:
Miya Masaoka
Wikipedia Info - 1-6 points
INDEPENDENT STUDY
- Department: Visual Arts
-
Instructor:
Daphne Arthur
Info -
Instructor:
Matthew E Buckingham
Wikipedia Info -
Instructor:
David A Cruz
Info -
Instructor:
Delphine A Fawundu
Wikipedia Info -
Instructor:
Jon Kessler
CULPA: 5 Wikipedia Info -
Instructor:
Miya Masaoka
Wikipedia Info -
Instructor:
Naeem Mohaiemen
Wikipedia h-index: 8 Info -
Instructor:
Kenny Rivero
Info -
Instructor:
Shelly Silver
CULPA: 1 Info -
Instructor:
Sable Smith
Wikipedia Info -
Instructor:
Rirkrit Tiravanija
Wikipedia Info -
Instructor:
Tomas Vu Daniel
CULPA: 4
Info
- 1-3 points
Banking & Monetary Policy in the Global
- Department: Business Economics
-
Instructor:
Faculty
h-index: 37 Info - 3 points
SUPERVISED INTERSHIP IN SPORTS MANAGEMEN
- Department: Sports Management
-
Instructor:
Kelly Carroll
Info - 3 points
SPECIAL TOPICS: Getting AI Right for Tec
AI + Techno-Social Change
OVERVIEW:
Artificial Intelligence (AI) is rapidly transforming every sector of human activity—from healthcare and education to defense and diplomacy—presenting both risks and opportunities and raising urgent questions about ethics, governance, global stability, and even civilizational churn. This course explores AI as both a technological and geopolitical force, one that has considerable societal impact in reshaping institutions, economies, and even civilization itself. Rather than approaching the topic from a technical perspective, the course is designed for students across disciplines who seek to understand how AI and convergent technologies can be developed and governed responsibly in a time of unprecedented change.
CONTENT:
Students will examine AI not as a set of tools but as an evolving infrastructure of global order. The course integrates ethical reasoning, policy analysis, and systems thinking to investigate how to get AI right in an era of rapid techno-social transformation. Students will explore foundational frameworks for AI governance and regulation (e.g., EU AI Act); analyze how the convergence of emerging technologies drives innovation and reshapes industries (e.g., autonomous vehicles); understand the role of AI within the larger context of human innovation; debate the rise of sovereign AI as a geopolitical force (e.g., UAE’s ‘Falcon’, Singapore’s ‘SEA-LION’ models.); evaluate AI’s potential role in both civilizational collapse and societal resilience; and apply methods of strategic foresight to anticipate future emerging technologies (e.g., the work of Sachs, Acemoglu & Robinson, Spengler etc.). Final projects will synthesize technical, ethical, and geopolitical perspectives to design a Responsible AI framework relevant to students’ personal and professional contexts.
LOGISTICS:
The course meets once per week in person. No technical background or coding experience is required. Open to all Columbia University graduate students.
- Department: Information & Knowledge Strat
- M 6:10 p.m.-8 p.m.
- 3 points
Human-Centered Design for Data-Driven St
HumCenDesignForDDStrat+De
Within this course, students will explore how practices from human-centered design (HCD) can be applied to the end-to-end data science workflow—problem (use case) definition, data collection & preparation, data exploration, data modeling, and communicating and visualizing the results— in order to build trust in data that is used to drive strategy and decision making and impact organizational change. Students will learn about fundamental human values and how methods from the behavioral sciences and HCD can inspire ethical use of data to drive strategy and change in the modern, data-driven workplace. Students will understand how keeping “humans in the loop” is beneficial, and they will develop a critical eye for assessing whether the data they rely on to make decisions at work is human-centric, particularly as we become more reliant on data science and artificial intelligence (AI) technologies to inform our insights, strategies, and decision making at work.
Content & Goals: Through hands-on, project-based work, students will work individually and in project teams to practice designing human-centric information and communication experiences, leveraging audience-focused data visualizations and storytelling techniques to drive a strategic workplace objective, motivating leaders and employees into action to create traceable organizational impact that benefits people. Students will have an opportunity to practice their writing and presentation skills through practical course assignments.
Logistics: This graduate-level elective course is designed for students in Information & Knowledge Strategy but is open to other students at Columbia University. This course would be relevant to students studying management and technology more broadly. The course will be delivered in person on Columbia’s campus during the spring semester.
No prerequisites.
- Department: Information & Knowledge Strat
- T 6:10 p.m.-8 p.m.
-
Instructor:
Blake Dicosola
Info - 3 points
NAVIGATING THE FUTURE OF WORK
This course is designed to provide an understanding of the critical capabilities necessary for individual, team, and organizational success in the new world of work. Based upon current economic models, students will recognize the intangible factors within teams and organizations that drive decision making, knowledge, and culture as value and valuation of the work of organizations.
Our core question is, how to start, build, and sustain leadership and organization capabilities for successfully navigating the future of work? The course will answer this question by looking at successful case examples who are demonstrably leading the way. We will bring actual leaders and entrepreneurs to the class for exchange with our class. The course will require students to work individually and in teams to build their own future of work models through unlearning and learning.
Students will study modern exemplar organizations and leaders to harness their lessons for staying competitive and successful. We will explore the changing nature of work, provide the means for better understanding what is occurring, and develop strategies for successfully navigating this new world. This course will start by analyzing how platforms, robotics, AI, automation, data, digitization, and the speed of technology has changed work. The capabilities necessary for success require both technological expertise, as well as, human skill centered around leadership, knowledge, and cultures of trust, respect and intentional inclusion. Students will participate in an “intangibles” assessment survey that will measure behaviors associated with leadership, culture, and knowledge for driving performance. This approach allows for exploring how the intangible factors behind each of these change factors impact the world of work, workforces, and workplaces.
Assignments will include determining individual work interests, skills and connecting them to organizational objectives and key results (OKR). Students will work in teams to design a future of work map and negotiate practices for their current organizations and clients.
- Department: Information & Knowledge Strat
- MTWRF 9 a.m.-5 p.m.
- 3 points
SUPERVISED PROJECT IN SPORTS MANAGEMENT
SUPERVISED PROJ IN SPORTS
Projects are research intensive and vary according to partners and specialty.
Advanced standing in the Sports Management program, with at least 12 points/credits (4 courses) completed is required. A student may not exceed 6 points/credits (2 courses) of Supervised Projects, or take more than 3 points/credits (1 course) per semester.
- Department: Sports Management
- T 2:10 p.m.-4 p.m.
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Instructor:
Grant J Son
Info - 3 points
SUPERVISED PROJECT IN SPORTS MANAGEMENT
NFL SOCL JUSTC IMPACT PRACTICE
Projects are research intensive and vary according to partners and specialty.
Advanced standing in the Sports Management program, with at least 12 points/credits (4 courses) completed is required. A student may not exceed 6 points/credits (2 courses) of Supervised Projects, or take more than 3 points/credits (1 course) per semester.
- Department: Sports Management
- W 12:10 p.m.-2 p.m.
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Instructor:
Leonard Elmore
Info - 3 points
SUPERVISED PROJECT IN SPORTS MANAGEMENT
SUPERVISED PROJ IN SPORTS
Projects are research intensive and vary according to partners and specialty.
Advanced standing in the Sports Management program, with at least 12 points/credits (4 courses) completed is required. A student may not exceed 6 points/credits (2 courses) of Supervised Projects, or take more than 3 points/credits (1 course) per semester.
- Department: Sports Management
- W 4:10 p.m.-6 p.m.
-
Instructor:
Leonard Elmore
Info - 3 points
MASTER THESIS WORKSHOP
TAKEN WITH BIET 5992 Master Thesis (2-credit).
The Workshop meets six times over four months. These sessions will assist students in starting to focus more fully on a topic and approach. During the Thesis Workshop, students will first speak informally for five minutes about a possible topic, followed by a more formal five-minute presentation and a draft of a one-page outline or abstract, proceeding to a more finalized outline or abstract. At each of these stages, students will receive feedback from the course director as well as fellow students.
- Department: Bioethics
- F 11:30 a.m.-1:30 p.m.
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Instructor:
Arthur Kuflik
Info - 1 points
MASTER THESIS (2 CREDIT)
Thesis requirement for Bioethics program. Taken with the Thesis Workshop (BIET K5991).
- Department: Bioethics
-
Instructor:
Arthur Kuflik
Info - 2 points
PERSP ON INT'L & WORLD HISTORY
This course gives students the opportunity to design their own curriculum: To attend lectures, conferences and workshops on historical topics related to their individual interests throughout Columbia University. Students may attend events of their choice, and are especially encouraged to attend those sponsored by the History Department. The Center for International History and the Heyman Center for the Humanities have impressive calendars of events and often feature historians. The goal of this mini-course is to encourage students to take advantage of the many intellectual opportunities throughout the University, to gain exposure to a variety of approaches to history, and at the same time assist them in focusing on a particular area for their thesis topic.
- Department: History
-
Instructor:
Line Lillevik
Info - 1-3 points
A Systems Approach to Knowledge Manageme
A Systems Approach to KM
This course will equip students with skills and strategies on how to plan, design, develop and deploy knowledge management programs for different types of organizations as well as for different sectors of the global economy. A hallmark of the course’s approach is that students will learn the steps from planning to deployment from a systems standpoint, i.e., students will learn how to use systems engineering principles as an analytic and structured framework for designing and implementing knowledge management programs that are responsive to organizational needs.
The course first provides an overview of the strategic value of institutional and project knowledge when properly managed, shared and applied, or leveraged to support decision making. Next, a system’s view and analysis of knowledge management (KM) is introduced as critical to business success because of the strategic value of knowledge assets. The knowledge management “system” as used in this course comprises of all the organizational elements that go into formulating a knowledge management strategy and its related implementation programs. Such system is made up of a defined KM strategy, appropriate information technology (IT) tools, processes, teams and leadership engagements, implementation programs delivery, institutional learning, lessons learned, knowledge sharing and transfer methodologies. Further, students will learn how to conduct organizational KM needs assessment, define institutional KM drivers, strategy formulation and knowledge sharing protocols. Students will also acquire skills for developing robust knowledge management practices and programs that support business objectives, enable project success, and sustain improved organizational performance. Additionally, students will apply the structured KM design principles they learned to real-world organizational challenges and opportunities. Assignments comprise a combination of individual exercises, a group project, and a final exam.
Pre-requisites/open to:
There is no pre-requisite knowledge or specific competency required for taking this course, because the instruction will include knowledge management fundamentals as well as systems engineering basics. Open to SPS and SEAS; other students with instructor permission.
- Department: Information & Knowledge Strat
- M 8:10 p.m.-10 p.m.
-
Instructor:
Moses Adoko
Info - 3 points
Independent Study
This course offers students an opportunity to expand their curriculum beyond the established course offerings. Interested parties must consult with the QMSS Program Director before adding the class. This course is intended for personal projects that require a lower time commitment (1-3 hours/week) than a typical independent study and may be taken for 1 point. This class is Pass/Fail option only.
- Department: Quantitative Methods/Social Sciences
-
Instructor:
Gregory M Eirich
CULPA: 1 Info - 1 points
Internship In ACTU
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Actuarial Science
-
Instructor:
Robin Wang
Info - 3 points
Internship In APAN
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Applied Analytics
-
Instructor:
Robin Wang
Info - 3 points
Internship In CNAD
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Construction Administration
-
Instructor:
Robin Wang
Info - 3 points
Internship In ERM
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Enterprise Risk Management
-
Instructor:
Robin Wang
Info - 3 points
Internship In HCM
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Human Capital Management
-
Instructor:
Robin Wang
Info - 3 points
Internship In IKNS
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Information & Knowledge Strat
-
Instructor:
Robin Wang
Info - 3 points
Internship In NOPM
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Non Profit Management
-
Instructor:
Robin Wang
Info - 3 points
Internship In POAN
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Political Analytics
-
Instructor:
Robin Wang
Info - 3 points
Internship in SPRT
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Sports Management
-
Instructor:
Robin Wang
Info - 3 points
Internship In SUMA
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Sustainability Management
-
Instructor:
Robin Wang
Info - 3 points
Internship In SUSC
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Sustainability Science
-
Instructor:
Robin Wang
Info - 3 points
Internship In TMGT
This course requires you to experience firsthand a program-related job in a real working environment. You will engage in personal, environmental and organizational reflection. The ideal Internship will provide you an opportunity to gain tangible and practical knowledge in your chosen field by taking on a position that is closely aligned with your coursework and professional interests. Before registering for this course, you must have completed the Internship Application Form in which you will describe your internship sponsor and provide details about the work that you will be doing. This form must be signed by your internship supervisor and approved by your program director BEFORE you register for this course.
To receive instructor approval, the internship:
● Must provide an opportunity for the student to apply course concepts, either at the organizational or team level
● Must fit into the planned future program-related career path of the student
You must identify your own internship opportunities. The internship must involve a commitment to completing a minimum of 210 hours over the semester.
At the end of your course, you will submit an evaluation form to your internship supervisor. The evaluation form should be returned directly to the instructor
- Department: Technology Management
-
Instructor:
Robin Wang
Info - 3 points
INDEPENDENT STUDY
This course offers students an opportunity to expand their curriculum beyond the established course offerings. Interested parties must consult with the QMSS Program Director before adding the class. This course may be taken for 2-4 points.
- Department: Quantitative Methods/Social Sciences
-
Instructor:
Gregory M Eirich
CULPA: 1 Info - 1-4 points
INDEPENDENT STUDY
Independent Study is a one- or three-credit course that can count toward the curriculum area requirement in Integrative Sustainability Management, Economics and Quantitative Analysis, Physical Dimensions, Public Policy, General and Financial Management, or Elective, with the approval of the faculty advisor. A final deliverable relating to the Sustainability Management curriculum is required at the end of the semester, and will be evaluated for a letter grade by the faculty advisor and reported to the SUMA program office.
- Department: Sustainability Management
-
Instructor:
Maria L Gray
Info - 1-3 points
INDEPENDENT STUDY
- Department: Sustainability Science
-
Instructor:
Maria L Gray
Info - 3 points
Community Leadership Service Program
Zero Credit Enrichment
Community Leadership and Service Program " CLASP" will expose students to the non-for-profit world and provide them with hands-on experience that will complement their work in the classroom. Students will participate in a variety of project-based work to assist nonprofits to support their needs, advance their mission and successfully drive business objectives.
At the beginning of each semester, students will provide their bios and resumes and complete a brief survey in order to be matched to a nonprofit organization within the sports industry.
Each student will receive an overview of the organization and the project they will be supporting for the course of the semester or school year. Once the matching process occurs, introductory calls will be scheduled and projects will be transferred to the students.
Each project requires a minimum of 40 hours for the semester for full-time students and 20 hours for part-time students.
This 0 credit course is a program requirement and failure to complete the hours of service and supplemental office hours will result in a graduation hold.
- Department: Sports Management
-
Instructor:
Jacqueline A Bartolomeo
Info - 0 points
IKNS INDEPENDENT STUDY
Overview
: This 1 semester course (elective, IKNS students only, hybrid) provides an opportunity for a student to extend or supplement their educational experience via a deep-dive into an established or novel area of research of their choice (the topic), under the guidance & supervision of a faculty member (the supervisor). An independent study course allows a student to work one-on-one with a faculty member to gain & contribute new insight into the discipline of Knowledge Management.
Topic/objective
: The topic is chosen by the student as long as it falls within the general realm of Knowledge Management or its specific content areas in the IKNS curriculum, such as IT systems, knowledge organizing systems, data repositories, business data analytics including machine learning & AI, learning processes, collaboration, dialogue, team & project management, transformational leadership, change management, digital transformation, or digital product innovation. The course will therefore serve the dual purpose of allowing a student to pursue their own intellectual curiosity & to make a contribution to the wider discipline of Knowledge Management. In addition, students will deepen their understanding of the content they acquired in other courses, by applying this content to the specific topic chosen for the Independent Study.
Logistics
: Ahead of registration, the student meets with the supervisor to discuss & agree on (i) the topic & the relevant IKNS curriculum area(s); (ii) the timeline of deliverables, milestones, & contact hours for the semester; & (iii) the number of credits. The student summarizes these points in a ~1 pg
Independent Study Proposal
. The student can register for the course only once the supervisor & the Academic Director agree to & sign the
Independent Study Proposal
(which includes the topic, the IKNS curriculum area, the number of credits, & the assigned supervisor). The number of credits (1-3) will be commensurate with the scope of the Independent Study. The scope can range from a summary of existing sources (typically 1 credit. 5-10 pg report), to a synthesis or meta-analysis of existing & new sources, e.g., interviews withSMEs (typically 2 credits, 10-15 pg report), to a comprehensive study which adds the student’s own critical discussion & suggestions to the topic (typically 3 credits; 15-20 pg report).
- Department: Information & Knowledge Strat
- 1-3 points
IKNS INDEPENDENT STUDY
Overview
: This 1 semester course (elective, IKNS students only, hybrid) provides an opportunity for a student to extend or supplement their educational experience via a deep-dive into an established or novel area of research of their choice (the topic), under the guidance & supervision of a faculty member (the supervisor). An independent study course allows a student to work one-on-one with a faculty member to gain & contribute new insight into the discipline of Knowledge Management.
Topic/objective
: The topic is chosen by the student as long as it falls within the general realm of Knowledge Management or its specific content areas in the IKNS curriculum, such as IT systems, knowledge organizing systems, data repositories, business data analytics including machine learning & AI, learning processes, collaboration, dialogue, team & project management, transformational leadership, change management, digital transformation, or digital product innovation. The course will therefore serve the dual purpose of allowing a student to pursue their own intellectual curiosity & to make a contribution to the wider discipline of Knowledge Management. In addition, students will deepen their understanding of the content they acquired in other courses, by applying this content to the specific topic chosen for the Independent Study.
Logistics
: Ahead of registration, the student meets with the supervisor to discuss & agree on (i) the topic & the relevant IKNS curriculum area(s); (ii) the timeline of deliverables, milestones, & contact hours for the semester; & (iii) the number of credits. The student summarizes these points in a ~1 pg
Independent Study Proposal
. The student can register for the course only once the supervisor & the Academic Director agree to & sign the
Independent Study Proposal
(which includes the topic, the IKNS curriculum area, the number of credits, & the assigned supervisor). The number of credits (1-3) will be commensurate with the scope of the Independent Study. The scope can range from a summary of existing sources (typically 1 credit. 5-10 pg report), to a synthesis or meta-analysis of existing & new sources, e.g., interviews withSMEs (typically 2 credits, 10-15 pg report), to a comprehensive study which adds the student’s own critical discussion & suggestions to the topic (typically 3 credits; 15-20 pg report).
- Department: Information & Knowledge Strat
- 1-3 points
MASTER'S THESIS
This course fulfills the Masters Thesis requirement of the QMSS MA Program. It is designed to help you make consistent progress on your master’s thesis throughout the semester, as well as to provide structure during the writing process. The master’s thesis, upon completion, should answer a fundamental research question in the subject matter of your choice. It should be an academic paper based on data that you can acquire, clean, and analyze within a single semester, with an emphasis on clarity and policy relevance.
- Department: Quantitative Methods/Social Sciences
- M 4:10 p.m.-6 p.m.
- R 6:10 p.m.-8 p.m.
- T 2:10 p.m.-4 p.m.
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Instructor:
Elena B Krumova
Info - 3-4 points