SUSTAINABLE INVESTING & ECONOMIC GROWTH

• Department: Sustainability Management
• T 4:10 p.m.-6 p.m.
• Instructor: Satyajit Bose
  CULPA: 4 Info
• 3 points

LAW & BIOETHICS

This course introduces students to selected legal and policy texts that have addressed issues in bioethics and shaped their development. Students will explore and contrast legal reasoning and bioethical analysis, often of the same issues. By the end of the course, students will understand the legal or regulatory status of selected issues and have begun to independently navigate major legal, regulatory, and policy texts. Individual sessions will be focused around particular issues or questions that have been addressed by (usually) American courts and/or in legislation, regulation or policy, and that have been the subject of scholarship and debate within bioethics.

The course begins with a theoretical look at the relationship between law and ethics, and includes a brief introduction to legal decision-making and policy development. We then survey a range of bioethics issues that have been addressed by the courts and/or in legislation, regulation, or significant policy documents, contrasting and comparing legal argument and reasoning with arguments utilized in the bioethics literature.

• Department: Bioethics
• T 9:10 a.m.-11 a.m.
• W 5:30 p.m.-7:30 p.m.
• Instructor: David N Hoffman
  h-index: 2 Info
• 3 points

DIGITAL COMMUNICATION STRATEGY

As digital media increasingly drives the field of strategic communication, leading successful communication efforts also require a platform specific, evidence-based strategic approach. Leaders must know how to use a broad and rapidly changing mix of digital media platforms and tools to connect their message with the right audience. To that end, this course covers major topics in digital media and communication, such as content strategy, digital experience, channel planning, online reputation management, programmatic marketing, audience targeting, artificial intelligence and more. Through in-class lectures, discussion, case studies, guest speakers, group projects and individual writing assignments, students in this course will be introduced to strategic decision-making and communications planning for social media, mobile, digital advertising, search, email, digital out-of-home and interactive media (video, radio, podcasts). Students will also gain an in-depth understanding of how to integrate digital strategies and tactics with traditional communication efforts.

• Department: Strategic Communication
• R 12:10 p.m.-2 p.m.
• Instructor: Lilian Ore
  Info
• 3 points

DIGITAL COMMUNICATION STRATEGY

As digital media increasingly drives the field of strategic communication, leading successful communication efforts also require a platform specific, evidence-based strategic approach. Leaders must know how to use a broad and rapidly changing mix of digital media platforms and tools to connect their message with the right audience. To that end, this course covers major topics in digital media and communication, such as content strategy, digital experience, channel planning, online reputation management, programmatic marketing, audience targeting, artificial intelligence and more. Through in-class lectures, discussion, case studies, guest speakers, group projects and individual writing assignments, students in this course will be introduced to strategic decision-making and communications planning for social media, mobile, digital advertising, search, email, digital out-of-home and interactive media (video, radio, podcasts). Students will also gain an in-depth understanding of how to integrate digital strategies and tactics with traditional communication efforts.

• Department: Auditing
• R 12:10 p.m.-2 p.m.
• Instructor: Lilian Ore
  Info
• 0 points

Special Topics: Consulting on Organizati

Conflicts in organizations can be productive or destructive, depending on the nature, frequency and intensity of the conflicts and how they are managed. When handled well, they can spark dialogue and innovation. Too often, however, they are not managed well and can have adverse effects on the people directly and indirectly involved, and the organization itself. They can cause absenteeism and lack of commitment, which can reduce productivity and increase the costs of doing business. They create unpleasant working environments and, when prolonged, can cause stress resulting in emotional and physical illness. There are different reasons for these conflicts, ranging from skirmishes within teams, to insufficient communication, to lack of enforced accountability measures, and indecisive leadership. The direct impact is to those involved in the conflict, while the indirect impact is more widely felt. By embracing a comprehensive conflict consulting framework, organizations can address disputes constructively, enhance communication, improve team collaboration, and create a more productive and harmonious work environment. 

 

This course is designed for those who would like to consult to organizations to address their internal conflict dynamics. It offers a structured process for engaging clients and partnering with them to effectively address and resolve conflicts within an organization. This course fits in well within the NECR programs’ course offerings, focused on skill building, systems, and for those interested in organizational dynamics. It covers a systemic approach to engaging in addressing organizational conflict by focusing on the client-consultant relationship. It draws on conflict analysis tools and conflict resolution methodologies from within the NECR program and the field, which also works to inform the credibility of the consultant. 

This course is an elective and will meet one weekend, March 28th and 29th, a full Saturday and Sunday, from 9:00-5:00. There will be a pre-work module to lay the foundation for the course, to allow the two days in person, on campus, to be spent engaged in hands-on activities. This course is open to NECR students. Students from other programs with some organizational experience and focus, and some knowledge of conflict resolution, can be permitted to join upon Instructor approval. It is preferred that NECR 6050 and NECR 5101 be completed before taking this course.

• Department: Negotiation & Conflict Resolution
• SU 9 a.m.-5 p.m.
• Instructor: Beth Fisher-Yoshida
  Info
• 1.5 points

Environmental Investigation and Sustaina

ENV INVESTIGATION &REMEDI

Environmental Investigation and Sustainable Remediation covers the major steps in the investigation, assessment and remediation of contaminated sites. The course will introduce the student to the multidisciplinary aspects of environmental remediation including sustainability considerations, an important background for any environmental career, such as an environmental consultant, a corporate remediation manager or a government regulator. Management and remediation of contaminated sites is an important consideration in sustainable regional development, since failure to control contamination usually yields an ever-increasing area of impact, with greater environmental and societal costs. Using US EPA Superfund guidance as a framework, the course will explore the major steps in identifying a site, establishing the degree of contamination, identifying the likely ecological and human receptors, and selecting and implementing a remedial action. Sustainable remediation in particular has received increased emphasis by the EPA and is now a required component of remedy selection. The Superfund process has been extensively developed through more than 30 years of legislature and agency guidance, and now provides a robust approach for pollution assessment and remediation. Contaminated sites typically involve a broad spectrum of contaminants across at least two media, including soils, sediments, groundwater, surface water, and air. This course examines the main steps involved in environmental investigation and remediation primarily from a technical perspective, although legal aspects will be incorporated at the major decision points in the process. In particular, the course will focus on the main environmental sampling and analytical techniques needed to conduct a remedial investigation, and cover some of the main remedial engineering considerations for the successful selection and implementation of a sustainable and resilient remedy. Students will be assigned one of several completed Superfund sites to track the application of the Superfund process to a real-world example as the class proceeds, providing a regular link between theory and application.

• Department: Sustainability Science
• W 4:10 p.m.-6 p.m.
• Instructor: Edward A Garvey
  Info
• 3 points

SPORTS ENTREPRENEURSHIP

• Department: Sports Management
• T 6:10 p.m.-8 p.m.
• Instructor: Grant J Son
  Info
• 3 points

DEI in Nonprofits: Leading Inclusive Org

Apart from its justice and equity imperative, Diversity, Equity, and Inclusion (DEI) has become an operational imperative as organizations become increasingly diverse. This course aims to equip students with critical faculties and practical tools to be informed and ethical practitioners of DEI in the charitable sector. This course prepares students to manage and lead the practice of DEI in core operational functions, as directors of DEI offices/initiatives or as DEI champions within their organizations. It will equip students with an understanding of the advantages and challenges of leading diverse teams and will provide the knowledge, critical analysis, and practical tools required to lead inclusive organizations. It provides a framework and strategic foundation for driving an organization through the stages of gaining awareness about DEI, practicing DEI, and amplifying the work of equity and inclusion beyond the workplace.

• Department: Non Profit Management
• R 6:30 p.m.-8 p.m.
• Instructor: Erwin Vincent S de Leon
  Info
• 3 points

DIGITAL PRODUCT INNOVATION & ENTREPRENEU

DGTL PROD INNOV & ENTRPRN

Digital Product Innovation and Entrepreneurship aims to provide students with the knowledge and expertise in innovation and new product development required to create, test, and launch a new digital product. In this course, students will undertake the following: perform a competitive analysis, investigate novel knowledge-based digital products, gather user requirements, validate the feasibility of proposed products, devise a go-to-market strategy, construct a financial plan, develop a high-fidelity digital product prototype, and pitch their business idea to a panel of venture capitalists. Students can expect to engage in a fast-paced, rigorously hands-on curriculum focused on developing a pre-revenue business.

The exponential increase in data and information, coupled with the combination of increasingly potent analytics and natural language processing platforms, AI, and LLMs, provides entrepreneurs with tremendous opportunities to bring innovative, customer-focused digital products to market. While there are no direct paths to bring a new product idea to market successfully, the application of the lean startup methodology provides a well-tested path from idea to profit.

• Department: Information & Knowledge Strat
• W 8:10 p.m.-10 p.m.
• Instructor: Ralph Poole
  h-index: 0 Info
• 3 points

REPRODUCTIVE ETHICS

• Department: Bioethics
• R 7:30 p.m.-9:30 p.m.
• Instructor: Arthur Kuflik
  Info
• 3 points

OPERATIONAL RISK MANAGEMENT

Review of the types of operational risks, such as technology risk (e.g., cyber-security), human resources risk, disasters, etc. Includes case studies, risk analysis frameworks and metrics, and common mitigation techniques, such as insurance, IT mitigation, business continuing planning, etc.

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Rossano Rossi
  Info
• Instructor: Kiran Bhujle
  Info
• Instructor: Lisa Broomer
  Info
• Instructor: Penny Cagan
  Info
• 3 points

FUNDRAISING FOR LARGE INSTITUTIONS: EDs

FUND FOR LRGE INST: EDs &

This course’s goal is to enable students to understand the specific challenges and particularities to medical and educational institutions’ fundraising, administration and community engagement. The successful student will complete the course with an extensive understanding of fundraising strategy, revenue streams, governance, organizational structure, leadership models, public policy, trends in the industry, and fundraising best practices as they relate to medical and educational organizations (“Eds and Meds”).

• Department: Non Profit Management
• R 6:10 p.m.-8 p.m.
• Instructor: Patrick O'Connell
  Info
• 3 points

NEUROSCIENCE & ETHICS

TBD

• Department: Bioethics
• M 8 p.m.-10 p.m.
• Instructor: Judy S Fine-Edelstein
  Info
• 3 points

INTRO TO QUANTITATIVE RISK MANAGEMENT

INTRO TO QUANT RISK MGMT

Students without a strong math background and experience with Excel will require significant additional time and effort to achieve the learning objectives and work through the course assignments.

This course builds a foundation in the mathematics and statistics of risk management. Students are empowered to understand the output of quantitative analysts and to do their own analytics. Concepts are presented in Excel and students will have the opportunity to practice those concepts in Excel, R or Python.

This course is a required prerequisite for registering for the following courses: Coding for Risk Management, Financial Risk Management, Quantitative Risk Management, Credit Risk Management, Market Risk Management, Credit Risk Analytics, Applied Coding for Risk Management, Derivatives Risk Management, Model Risk Management, ERM Modeling, and Machine Learning for Risk Management.

• Department: Enterprise Risk Management
• R 8:10 p.m.-10 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Oleksandra V Lyulko
  Info
• Instructor: Witold Czubala
  Info
• 3 points

FUNDAMENTALS OF SPORTS ANALYTICS

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

CODING FOR RISK MANAGEMENT

Equips students with the ability to adopt the programming culture typically present in the ERM/risk areas of most financial organizations. By studying Python, SQL, R, git, and AWS, students gain exposure to different syntaxes. Students apply these skills by coding up market risk and credit risk models. Students also gain familiarity with working in the cloud.

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: David Weltz
  Info
• Instructor: David J Romoff
  Info
• 3 points

FINANCIAL RISK MANAGEMENT

A survey of market, credit, liquidity, and systemic risk. Includes case studies, risk quantification methods, and common mitigation techniques using portfolio management, hedging, and derivatives. Also addresses traditional risk management practices at banking institutions.

• Department: Enterprise Risk Management
• R 8:10 p.m.-10 p.m.
• T 8:10 p.m.-10 p.m.
• W 6:10 p.m.-8 p.m.
• M 6:10 p.m.-8 p.m.
• Instructor: David J Romoff
  Info
• Instructor: Zaur Nurtaza
  Info
• Instructor: Navin Sharma
  Info
• Instructor: Justin Hon
  Info
• 3 points

MATH MTHDS-FIN PRICE ANALYSIS

Course covers modern statistical and physical methods of analysis and prediction of financial price data. Methods from statistics, physics and econometrics will be presented with the goal to create and analyze different quantitative investment models.

• Department: Mathematics
• S 7 p.m.-9:20 p.m.
• Instructor: Alexei Chekhlov
  CULPA: 3 h-index: 10 Info
• 3 points

EMBODIED BORDERLANDS

• Department: Narrative Medicine
• T 10:10 a.m.-noon
• Instructor: Sayantani T Dasgupta
  CULPA: 2 Info
• 3 points

SPORT ACCOUNTING & FINANCE

• Department: Sports Management
• T 6:10 p.m.-8 p.m.
• Instructor: Destinee Coles
  Info
• 3 points

Agroecology - A Natural Climate Solution

Agroecology A Natural Cli

Natural climate solutions (NCS) refer to actions aimed at protecting, better managing, and restoring nature to achieve climate goals. Adopting sustainable, climate-smart agricultural practices following agroecology principles provides a cost-effective NCS pathway to mitigate climate change, while also ensuring food security and environmental sustainability. This course will introduce the principles of agroecology, the key concepts of carbon and nitrogen dynamics, as well as the commonly adopted agroecological practices across various agricultural landscapes, including croplands, grasslands, and agroforestry systems. A combination of lectures, discussions, and field activities will be utilized to demonstrate how agroecological practices can be monitored in terms of their influence on ecosystem services.

This course will prepare students to apply principles of sustainability science to improved soil and agricultural management, addressing the growing need for better adoption of land based NCS. This course will also delve into the technological aspects of NCS monitoring that will help working professionals in conservation, environmental, and sustainable business organizations develop the necessary skills to evaluate the outcomes of sustainable land management practices to inform management decisions, policy making, and incentive-based programs. This elective course aims to connect scientific methods with decision-making processes to prepare students to be leaders in sustainability and make impacts on both local and large-scale climate issues.

• Department: Sustainability Science
• R 4:10 p.m.-6 p.m.
• Instructor: Yushu Xia
  Info
• 3 points

Disability and Illness Narratives (CERT)

Disability Illness Narrat

This course examines questions such as: What does the telling and reading of narratives do for the ill or disabled individual? How can clinicians effectively elicit, interpret, and act upon such narratives? Who owns a story, and what is the role of co-authorship, power and witnessing in story-telling and story-listening? Whose voice do we hear? What are the roles of power and hierarchy in story-telling and listening? What is the impact of familial, cultural, social, institutional, political contexts on the individual story? And finally, how can personal stories be translated to political advocacy and action? Texts assigned weekly will be broadly interdisciplinary – drawing from memoir, poetry, essays, fiction, feature and documentary films, narrative theory, and disability studies, exploring the relationship between disability/illness experience and narrative. This elective course is open to all students in the Narrative Medicine CPA program. Students should be prepared to engage with each other and with the instructor and to offer their questions, comments, insights, and analysis.

This is an essential, practically applied element of narrative medicine study and it is exemplary as a way to illustrate the impact of narrative study in shaping experience, opening awareness, and highlighting the need for change and new stories. A narrative medicine course focused on disability and illness narratives is an important aspect of narrative medicine study. Exploring narratives presented in a variety of formats by using narrative medicine methods can encourage deeper perspective-taking and promote activism for underrepresented voices.

Disability and Illness Narratives: Storytelling For Awareness and Activism
is an elective course in the Narrative Medicine CPA program. In addition, this course is open to cross-registrants in other programs who demonstrate some understanding of narrative medicine and/or participate in the online asynchronous narrative medicine orientation course before the semester begins. Narrative Medicine CPA students are required to have completed, or be simultaneously enrolled in the course,
Narrative Medicine Methods: Close Reading and Writing
, course number K5120, and have completed the required program online asynchronous orientation course. CPA courses are all 10 weeks/modules long, and they are online and asynchronous, which means there are no meeting times. Each module represents one week of the course. All modules begin on a Tuesday and end on Monday of th

• Department: Narrative Medicine
• Instructor: Joseph H Eveld
  Info
• 3 points

INSURANCE RISK MANAGEMENT

Review of types of insurance risk, such as pricing risk, underwriting risk, reserving risk, etc. Includes case studies, risk quantification methods (e.g., market-consistent economic capital models, dynamic financial analysis (DFA) models, catastrophe models, etc.), and common mitigation techniques, such as asset-liability management (ALM), reinsurance, etc. Also addresses traditional risk management at insurance companies and ERM actuarial standards of practice (ASOPs).

• Department: Enterprise Risk Management
• W 8:10 p.m.-10 p.m.
• Instructor: Ding Dai
  Info
• 3 points

MULTI-ASSET PORTFOLIO MGMT

The course will cover practical issues such as: how to select an investment universe and instruments, derive long term risk/return forecasts, create tactical models, construct and implement an efficient portfolio,to take into account constraints and transaction costs, measure and manage portfolio risk, and analyze the performance of the total portfolio.

• Department: Mathematics
• MW 6:10 p.m.-7:25 p.m.
• 3 points

CREDIT RISK MANAGEMENT

Credit Risk Management requires business acumen, the monitoring of internal and external data, disciplined execution, and organizational intelligence. A solid understanding of this enables a credit risk manager to help organizations achieve their objectives. Through readings, case studies, and modeling projects, students learn how risk managers decide on credit risk management strategy applied throughout the client lifecycle.

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• Instructor: Christakis Droussiotis
  Info
• 3 points

CAPSTONE

Capstone projects afford a group of students the opportunity to undertake complex, real-world, client-based projects for nonprofit organizations, supervised by a Nonprofit Management program faculty member. Through the semester-long capstone project, students will experience the process of organizational assimilation and integration as they tackle a discrete management project of long or short-term benefit to the client organization. The larger theoretical issues that affect nonprofit managers and their relationships with other stakeholders, both internal and external, will also be discussed within the context of this project-based course.

• Department: Non Profit Management
• T 6:30 p.m.-8 p.m.
• Instructor: Basil A Jr Smikle
  Info
• 3 points

SPORTS REVENUES STRATEGIES & ANALYSIS

Digital, social, and mobile media continue to heavily impact every aspect of sports business, often in profound and unanticipated ways, particularly in managing and optimizing revenue streams. All revenue line items are fully intertwined and integrated with each other, media, sponsorship, ticketing, hospitality, concessions and licensing, etc. Students of this course will learn to analyze and optimize the ecosystem of sports business including content rights, ticketing, sponsorship, merchandising, marketing, etc., as well as make business analytics decisions by leveraging business analytics software to run scenario analysis.

• Department: Sports Management
• R 6:10 p.m.-8 p.m.
• Instructor: Ishwara Glassman Chrein
  Info
• 3 points

MA Mentored Research

MA MENTORED RESEARCH

This course is intended to provide a mechanism to MA students in Statistics who undertake on-campus project work or research. The course may be signed up with a faculty member from the Department of Statistics for academic credit. Students seeking to enroll in the course should identify an on-campus project and a congenial faculty member whose research is appealing to them, and who are able to serve as their mentor. Students should then submit an application to enroll in this course, which will be reviewed and approved by the Faculty Director of the MA in Statistics program.

• Department: Statistics
• Instructor: Demissie Alemayehu
  h-index: 14 Info
• 0-3 points

Statistical Fieldwork

Prerequisites: GR5203; GR5204 &GR5205 and at least 4 approved electives This course is an elective course for students in the M.A. in Statistics program that counts towards the degree requirements. To receive a grade and academic credits for this course, students are expected to engage in approved off-campus internships that can be counted as an elective. Statistical Fieldwork should provide students an opportunity to apply their statistical skills and gain practical knowledge on how statistics can be applied to solve real-world challenges.

• Department: Statistics
• Instructor: Demissie Alemayehu
  h-index: 14 Info
• 1 points

FUNDAMENTALS OF DATA ENGINEERING

FUNDAMENTALS OF DATA ENGINEERING

• Department: Applied Analytics
• R 6:10 p.m.-8 p.m.
• Instructor: Amreeta Choudhury
  Info
• 3 points

FUNDAMENTALS OF DATA ENGINEERING

FUND OF DATA ENG ONLINE

FUNDAMENTALS OF DATA ENGINEERING

• Department: Applied Analytics
• W 6:10 p.m.-8 p.m.
• Instructor: Robert Simione
  Info
• 3 points

CLINICAL ETHICS

While this course is designed to introduce students to the fundamentals of clinical ethics and the basic terminology and framework of ethical analysis in biomedical ethics, it offers a more sociological perspective, putting the contemporary clinical issues into a broader context. We will look briefly at the development of clinical ethics and its impact on hospital care and doctor-patient relationships, on the prevailing autonomy norm and its critique. The course then focuses on issues encountered in clinical practice such as informed consent, patient capacity, decision-making, end of life, advance directives, medical futility, pediatrics ethics, maternal-fetal conflicts, organ transplantation, cultural competence and diversity of beliefs and others. The course will examine the role of the clinical ethics consultant (CEC) and assignments will mimic the work that CECs may perform in the hospital setting.

Over the span of the semester, students become familiar with the ethical questions surrounding major topics in the clinic with a practical case-based approach toward ethics dilemmas and ethics consultation. During the semester, students in New York attend a meeting of the adult or pediatric ethics committees of New York Presbyterian and Morgan Stanley Children's Hospital or another area hospital, as well as ethics lectures given at the medical center.

Students are expected to complete five case write-ups using a template that will be given by the instructor. Students will be using these cases to refine and hone their ethical analysis skills and to show their knowledge of law, policy and ethical principles and how they might apply to each situation.

• Department: Bioethics
• T 2:10 p.m.-4 p.m.
• R 9:30 a.m.-11:30 a.m.
• W 8 p.m.-10 p.m.
• Instructor: Barbra Rothschild
  Info
• 3 points

RESEARCH SEMINAR IN HIST

This seminar is a step-by-step introduction to scholarly research in the field of History and Literature. In the course of the seminar, students will carry out the initial research and draft the prospectus for their MA thesis.

• Department: French
• Instructor: Barry G Bergdoll
  CULPA: 1 Info
• 3 points

OPERATIONS: BACKBONE OF THE COMPANY

OPERATIONS: BACKBONE OF C

• Department: Insurance Management
• Instructor: Amanda Bill
  Info
• 3 points

TAX PLANNING

The Tax Planning course explores the various methods of the U.S. tax system, its development, its applicability to individual (and corporate) taxpayers, and steps taxpayers of various income and wealth levels take to determine,
meet, and minimize their tax obligations, depending on their goals. Students will learn how to identify sources, nature, and taxability of taxpayers’ income and gains, to determine the deductibility of any expenses they incur to reduce income, identify credits they may have to offset taxes due, understand filing and payment obligations, and apply the methods of minimizing tax - avoidance, deferral, and use of lower brackets or realization by other taxpayers.

• Department: Wealth Management
• Instructor: Adam Ludman
  Info
• 3 points

MARKET RISK MANAGEMENT

This course provides the tools to measure and manage market risk in the context of large financial institutions. The volume and complexity of the data itself, at large institutions, makes it a challenge to generate actionable information. We will take on this challenge to master the path from data to decisions.

We cover the essential inputs to the engines of financial risk management: VaR, Expected Exposure, Potential Exposure, Expected Shortfall, backtesting, and stress testing as they apply to asset management and trading. We explore the strengths and weaknesses of these different metrics and the tradeoffs between them. We also cover how regulatory frameworks impact both the details and the strategy of building these engines. Lastly, we cover counterparty-credit methodologies, mainly as they apply to Trading Book risk.

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Michael Zwecher
  Info
• Instructor: Deniz Ozenbas
  Info
• 3 points

PRACTICAL PRODUCTION II

• Department: Film
• F 9 a.m.-11:15 a.m.
• F 11:15 a.m.-1:30 p.m.
• F 1:30 p.m.-3:45 p.m.
• Instructor: Maureen A Ryan
  Info
• 1.5 points

LEADERSHIP IN SPORTS MANAGEMENT

LDRSHP & PERS MGMT IN SPR

TBA

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

LEADERSHIP IN SPORTS MANAGEMENT

LDRSHP & PERS MGMT IN SPR

TBA

• Department: Sports Management
• T 4:10 p.m.-6 p.m.
• Instructor: Jeffrion L Aubry
  Info
• 3 points

LEADERSHIP IN SPORTS MANAGEMENT

TBA

• Department: Sports Management
• T 4:10 p.m.-6 p.m.
• Instructor: Mary Scott
  Info
• Instructor: Leonard Elmore
  Info
• 3 points

Sustainability and Resilience of Tropica

Course Overview

SUSC PS5410 -
Tropical Highland Ecosystems - Vietnam
is an intensive, field-based sustainability course that immerses students in the study of tropical highland ecosystems from within an area that is home to two UNESCO-designated Biosphere Reserves; Núi Chúa (Khánh Hòa Province, with Núi Chúa National Park as the core zone) and Lang Biang (Lâm Đồng Province, with Bidoup–Núi Bà National Park as the core zone). These two regions span an ecological transect from coastal drylands and marine ecosystems to high-elevation montane and cloud forests and is home to multiple indigenous peoples, highlighting their exceptional biodiversity and cultural value. Their recognition under UNESCO’s Man and the Biosphere Program illustrates their international significance as areas for balancing conservation and sustainable development.

The significance of tropical highlands becomes increasingly apparent as the global climate warms and sea level rise forces migration away from deltaic lowlands. Critical ecosystems services provided by these highland environments are threatened not only by a warming climate, but also by changes in land use and increased population. Local indigenous people have survived in these highlands for generations, and are particularly at risk from these changes, comprise one of our main areas of interest. Furthermore, we will be immersed within an area of high biodiversity and endemism, with more than 14 tropical ecosystems that serve as home to numerous endangered species, including the sun bear, the antelope-like saola, giant and Truong Son muntjacs (barking deer), and the gray-shanked douc langur. The region is also rich in endemic plant species, including the enigmatic krempfii pine that is found only in the Central Highlands, and several other rare or endemic conifers. A single highland forest can exhibit exceptional species richness, with studies in the Central Highlands finding up to 70 tree species per hectare.

This course is designed for graduate students in the
Master of Science in Sustainability Science
program at Columbia University who are preparing for careers in environmental science, restoration ecology, climate adaptation, or ecosystem-based management. It is especially suitable for those interested in field-based research, biodiversity monitoring, nature-based solutions, and the integration of science with sustainability pract

• Department: Sustainability Science
• MTWRFSU 9 a.m.-5 p.m.
• Instructor: Brendan Buckley
  h-index: 40 Info
• 3 points

ECONOMETRICS II

• Department: Economics
• T 6:10 p.m.-8 p.m.
• Instructor: Richard Crump
  Info
• 3 points

Printmaking on, through, and below the m

Print on, through, & belo

This course offers to the student who may find an examination of printmaking an asset to their art practice.
The course will cover several printmaking processes like relief, intaglio, silkscreen, and monotype. In addition, we will discuss printmaking concepts such as repetition, matrix, original/translation, reproducibility, and multiple considering the works produced in class.
We will involve a separate in-depth study of each process by alternating studio time, demonstrations, field trips, individual and group critiques.
Through the printmaking processes, students will explore assignments and projects and be encouraged to incorporate them into their own body of work.

• Department: Visual Arts
• F 10 a.m.-4 p.m.
• Instructor: Craig Zammiello
  Info
• 3 points

SYMBOLIC LOGIC

Advanced introduction to classical sentential and predicate logic. No previous acquaintance with logic is required; nonetheless a willingness to master technicalities and to work at a certain level of abstraction is desirable. Note: Due to significant overlap, students may receive credit for only one of the following three courses: PHIL UN3411, UN3415, GR5415.

• Department: Philosophy
• MW 2:40 p.m.-3:55 p.m.
• Instructor: Achille Varzi
  CULPA: 30 Wikipedia h-index: 40 Info
• 4 points

CREDIT RISK ANALYTICS

The field of credit risk management is undergoing a quiet revolution as subjective and manually-intensive methods give way to digitization, algorithmic management, and decision-making. This course provides a practical overview and hands-on experience with different methods, and it also provides a view of future technologies and discussions of potential future directions. Participants in this course should be well-positioned to take entry-level analytic positions and help drive strategic decisions.

The first half of the course explores analytics used today for credit risk management. You will learn to create rating and scoring models and a macro scenario-based stress testing model. In the second half of the course, we explore more advanced tools used by the more prominent organizations and fintech firms, including neural net and XGBoost decision tree models.

• Department: Enterprise Risk Management
• M 8:10 p.m.-10 p.m.
• Instructor: Christopher Mann
  Info
• 3 points

QUALITATIVE EVALUATION METHODS FOR NARRA

QUALTV EVALUATION METHODS

TBA

• Department: Narrative Medicine
• Instructor: Sara S Kohrt
  Info
• Instructor: Mario de la Cruz
  Info
• 3 points

PRINTMAKING I: INTAGLIO

• Department: Visual Arts
• MW 1:30 p.m.-4 p.m.
• Instructor: Jennifer Nuss
  Info
• 3 points

PRINTMAKING II: INTAGLIO

• Department: Visual Arts
• MW 1:30 p.m.-4 p.m.
• Instructor: Jennifer Nuss
  Info
• 3 points

Tech Arts: Post Production II

Tech Arts: Post Production II continues teaching the core techniques for picture and sound editing and the post production workflow process for Columbia Film MFA students. We will cover preparing for a long-form edit, digital script integration, color management and continuity, advanced trimming, and advanced finishing. The hands-on lessons and exercises will be conducted using the industry-standard Non-Linear Editing Systems, Avid Media Composer, and Davinci Resolve. Each week’s class will consist of hands-on demonstrations and self-paced practice using content created by the students and provided by the program.

• Department: Film
• R 10 a.m.-1 p.m.
• Instructor: Michael J Cacioppo Belantara
  Info
• 1.5 points

LIQUIDITY RISK MANAGEMENT

Indicators of companies running into hard times typically include revenue volatility, loss of key personnel, reputational damage, and increased litigation. However, company failures are frequently marked by insufficient liquidity, or the lack of cash to meet obligations. Liquidity risk is the unexpected change in a company’s cash resources or demands on such resources that results in the untimely sale of assets, and/or an inability to meet contractual demands and/or default. In extreme cases, the lack of sufficient cash creates severe losses and results in company bankruptcy.

An institution’s cash resources and obligations can and must be managed. Indeed, the field of liquidity risk management is an established part of treasury departments at sizable institutions. The regularity of cash flows and the turbulence of business and markets must be assessed and quantified. This course provides students the tools and techniques to manage all types of liquidity challenges including the need to sell assets unexpectedly in the market, or work through ‘‘run‐on-the‐bank’’ situations for financial services companies.

• Department: Enterprise Risk Management
• T 8:10 p.m.-10 p.m.
• Instructor: Joseph Dziwura
  Info
• 3 points

Machine Learning for Finance

The application of Machine Learning (ML) algorithms in the Financial industry is now commonplace, but still nascent in its potential.  This course provides an overview of ML applications for finance use cases including trading, investment management, and consumer banking. 

Students will learn how to work with financial data and how to apply ML algorithms using the data.  In addition to providing an overview of the most commonly used ML models, we will detail the regression, KNN, NLP, and time series deep learning ML models using desktop and cloud technologies. 

The course is taught in Python using Numpy, Pandas, scikit-learn and other libraries.  Basic programming knowledge in any language is required.

• Department: Mathematics
• S 2:40 p.m.-4:30 p.m.
• Instructor: Renzo Silva
  Info
• 3 points

WRITING CREATIVELY: CRAFT LAB & WORKSHOP

• Department: Narrative Medicine
• Instructor: Lynne B Mijangos
  Info
• Instructor: Lauren A Mitchell
  Info
• 3 points

CREATIVITY IN BUSINESS

• Department: Business
• MTWRF 9 a.m.-6:30 p.m.
• Instructor: Faculty
  h-index: 37 Info
• 3 points

CREATIVITY IN BUSINESS

Creativity in Business

• Department: Business
• Instructor: Faculty
  h-index: 37 Info
• 3 points

GLOBAL ETHICS

Increasingly, issues of medical research and clinical care are posing complex ethical issues not only in the United States, but in other countries in both the industrialized and the developing world. Yet varying economic, political, social, cultural, and historical contexts shape these issues. In diverse contexts in Asia, Africa, Europe and North and South America, practices and policies, along with cultures and moral values, differ enormously. Yet ethical issues are arising not in isolation, but as part of global communities and discourses. In research, multinational pharmaceutical companies are increasingly conducting studies in both industrialized countries and the developing world, posing numerous ethical tensions. In clinical care, uses of reproductive technologies differ across national borders, leading to “reproductive tourism”. End of life care varies widely, reflecting in part differing attitudes toward death and dying. This course examines the political, economic, social, cultural, philosophical, medical, and historical roots and implications of these issues.

The course meets once a week online for an hour and a half, and offers extensive live-session interaction and post-session discussion forums to explore the various bioethical issues contemplated throughout the semester.

• Department: Bioethics
• R 4:10 p.m.-6 p.m.
• T 6 p.m.-7:45 p.m.
• Instructor: Robert L Klitzman
  Wikipedia Info
• 3 points

BLOCKCHAIN AND ERM

Using Blockchain, decisions can be made without relying on a single centralized authority, allowing for greater transparency and trust between participants. By using smart contracts and distributed ledgers, users can easily create, modify, and manage agreements between stakeholders, ensuring that all parties have access to the same information and can make informed decisions. As a result, Blockchain technology reduces the risks associated with decision-making, and improves efficiency and accuracy. This course first examines the risks and rewards of implementing Blockchain at large organizations engaging in decentralized decision-making processes. The course then explores the Blockchain as a tool for risk management.

• Department: Enterprise Risk Management
• W 8:10 p.m.-10 p.m.
• Instructor: Ivan Bakrac
  Info
• 3 points

PRINTMAKING I: SILKSCREEN

• Department: Visual Arts
• R 10 a.m.-4 p.m.
• Instructor: Liz Schneider
  Info
• 3 points

IMPACT FINANCE FOR SUSTAINABILITY PRACTI

IMPACT FINANCE FOR SUST PRACT

This survey course examines a range of sustainable and impact investing fixed income and equity products

before transitioning to the asset owner perspective on sustainable and impact investing. Each class session

includes elements of financial analysis, financial structure, social or environmental impact, and policy and

regulatory context. Brief guest lectures, podcasts, and three experiential exercises bring these topics to life.

At the end of the course, each student will be able to (i) construct a diversified portfolio of impact

investments based on the range of products tackled in class, (ii) integrate ESG into debt and equity valuation,

(iii) develop an impact investing product that an asset manager or investment bank could launch, (iv) develop

an impact investing strategy for an asset owner, and (v) lead either side of the investor-corporate dialogue on

sustainability. The lectures are designed to prepare students for both the impact investing product

development exercise and the impact investing asset owner strategy exercise, and these two exercises are

designed to prepare students for impact investing leadership over the course of their careers.

As an early innovator in social finance, dating back 24 years, the instructor provides students with a practical

toolkit, honed by making mainstream financial institutions and products more beneficial to a broader range

of stakeholders and making specialist impact investment firms more relevant to and integrated with

mainstream markets.

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

Sustainability Value Creation in Private

This course provides an overview of the way sustainability (environmental, social and governance) factors are analyzed in private markets. It focuses on preparing students to implement their understanding of the financial and societal risks and opportunities within the investment making process. In private markets, limited partners (pension funds, endowments, high net-worth individuals) have pushed the sustainability imperative and social consciousness of private equity funds and asset managers by seeking greater clarity around how their money is invested in both a responsible and financially meaningful way. Alongside this trend, an evolving regulatory environment globally has propelled the need to systemize evaluation frameworks for stakeholders within investment functions and advisors who support them.Unlike public markets, sustainability information is harder to glean in private markets and requires a skilled extraction and evaluation process. During this course, we examine a traditional ESG due diligence process embedded within the wider investment lifecycle (sourcing, diligence, hold and exit) through the lens of changing geographic regulatory landscape in financial investing and the market leading frameworks that quantify ESG factors for evaluation. The course culminates with a deal due diligence process that mimics an investment committee (IC) comprised of private equity leaders that understand the commercial and purpose-driven viability of an investment.

• Department: Sustainability Management
• M 4:10 p.m.-6 p.m.
• Instructor: Angela Jhanji
  Info
• 3 points

CLOUD COMPUTING

Data analytics have become an essential component of business intelligence and informed decision making. Sophisticated statistical and algorithmic methodologies, generally known as data science, are now of predominant interest and focus. Yet, the underlying cloud computing platform is fundamental to the enablement of data management and analytics.

This course introduces students to cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Students will have hands-on exposure to VMs (Virtual Machines), databases, storage, microservices, and AI/ML (Artificial Intelligence and Machine Learning) services through Google Cloud Platform, et al.  Cost and performance characteristics of alternative approaches will also be studied. Topics include: overview of cloud computing, cloud systems, parallel processing in the cloud, distributed storage systems, virtualization, security in the cloud, and multicore operating systems. Throughout, students will study state-of-the-art solutions for cloud computing developed by Google, Amazon, Microsoft, and IBM.

The course modules provide a blend of lecture and reading materials along with class exercises and programming assignments. While extensive programming experience is not required, students taking the course are expected to possess basic Python 3 programming skills.

The desired outcome of the course is the student’s ability to put conceptual knowledge to practical use. Whether you are taking this course for future academic research, for work in industry, or for an innovative startup idea, this course should help you master the fundamentals of cloud computing.

• Department: Applied Analytics
• T 6:10 p.m.-8 p.m.
• F 12:10 p.m.-2 p.m.
• M 8:10 p.m.-10 p.m.
• Instructor: Mohsen Golalikhani
  Info
• Instructor: Sridhar Ravula
  Info
• Instructor: Mohamed Mneimneh
  Info
• 3 points

Credit Analytics

This course uses a combination of lectures and case studies to introduce students to the modern credit analytics. The objective for the course is to cover major analytic concepts, ideas with a focus on the underlying mathematics used in both credit risk management and credit valuation.  We will start from an empirical analysis of default probabilities (or PD), recovery rates and rating transitions. Then we will introduce the essential concepts of survival analysis as a scientific way to study default.  For credit portfolio we will study and compare different approaches such as CreditPortfolio View, CreditRisk+ as well as copula function approach. For valuation we will cover both single name and portfolio models.

• Department: Mathematics
• F 1:10 p.m.-3:40 p.m.
• 3 points

COGNITIVE LINGUISTICS

• Department: Latin American and Iberian Cultures
• TR 2:40 p.m.-3:55 p.m.
• Instructor: Reyes Llopis-Garcia
  CULPA: 10 h-index: 10 Info
• 4 points

PRIVACY RISK MANAGEMENT

In today’s digital age, with the collection and usage of personal  information growing at an exponential rate, the study of privacy risk management is crucial. As organizations grapple with the dual challenge of monetizing technological innovation without running afoul of regulatory and legal restrictions, the ERM professional who understands how to identify, assess, and manage privacy risk is in high demand. In this course, students will develop an understanding of the legal frameworks governing data usage, the ethical issues associated with the use of personal information, and how to develop robust privacy frameworks and controls in order to manage privacy risk.

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• Instructor: Heather McArn
  Info
• 3 points

SPORTS LAW AND ETHICS

• Department: Sports Management
• W 6:10 p.m.-8 p.m.
• M 4:10 p.m.-6 p.m.
• Instructor: Carla Varriale
  Info
• Instructor: Jill Kelley
  Info
• 3 points

INTRO TO BLOCKCHAIN, CRYPTO$ & ANALYTICS

BLOCKCHAINCRYPTOCURRENCY &ANL

TBD

• Department: Applied Analytics
• T 6:10 p.m.-8 p.m.
• T 2:10 p.m.-4 p.m.
• Instructor: Siddhartha Dalal
  Info
• 3 points

CLINICAL ETHICS: END OF LIFE CARE

This course will explore how medical decisions at the end of life regarding both curative and palliative care are influenced by medical, legal and philosophical principles and social norms. We will explore how the development of clinical practice standards for patients with advanced disease have evolved in response to advances in treatment and societal assertion of consumerist rights of self determination. This work will assist students in the Bioethics Masters Program to develop the consultation skills needed to interact effectively with patients, even under difficult circumstances. We will build on the knowledge base established in the Introduction to Clinical Ethics course (BIETPS5400) to develop the specific insights and skills needed by clinicians and other professionals to support patients and caregivers who confront dilemmas in end of life care management. Students will develop the analytic and communication techniques needed to advise treating clinicians who seek guidance on management of end of life care for patients, and communicating prognosis and treatment options to their patients’ families. The skills developed in this course will be useful to students who will confront ethical dilemmas in their roles as treating clinicians, health care administrators, ethics committee members, compliance officers, and patient advocates. This course will also provide a valuable foundation for students who intend to pursue more advanced training in clinical ethics consultation, in order to prepare for a career as an institutionally based Ethics Consultant.

• Department: Bioethics
• T 8 p.m.-10 p.m.
• Instructor: David N Hoffman
  h-index: 2 Info
• 3 points

AI and the Future of Strategic Communica

AI & the Future of Strat

The field of Artificial Intelligence (AI) has rapidly evolved to become a transformative global force across various industries, with particular significance for strategic communication. This elective course provides a comprehensive exploration of AI’s foundations, its current landscape, and its profound impact on media, journalism, public relations, and marketing communications. The course also addresses critical issues surrounding AI such as ethics, policy, and risk management associated with adoption, while offering practical insights into implementing common AI tools and developing essential AI skills for communication professionals.

• Department: Strategic Communication
• M 4:10 p.m.-6 p.m.
• Instructor: Cecilia Dones
  Info
• 3 points

A MATHEMATICAL APPROACH TO GENERATIVE AI

MATHMATCL APPRCH GENERATI

Generative AI (“GenAI") is reshaping the global economy and the future of work by revolutionizing problem-solving, optimizing complex systems, and enabling data-driven decision-making. Its profound impact spans across natural language understanding, image generation, and predictive analytics, marking a paradigm shift that necessitates a deep and rigorous understanding of its mathematical foundations. This course is designed to equip students with a comprehensive framework for exploring the mathematical principles underpinning GenAI. Emphasizing statistical modeling, optimization, and computational techniques, the curriculum provides the essential tools to develop and analyze cutting-edge generative models.

• Department: Mathematics
• S 4:45 p.m.-6:35 p.m.
• Instructor: Laura Simonsen Leal
  Info
• 3 points

CIRCULAR ECONOMY FOR SUSTAINABILITY PROF

Throughout history, societies have discovered resources, designed and developed them into textiles,

tools and structures, and bartered and exchanged these goods based on their respective values.

Economies emerged, driven by each society’s needs and limited by the resources and technology

available to them. Over the last two centuries, global development accelerated due in large part to the

overextraction and use of finite resources, whether for energy or materials, and supported by vast

technological advancements. However, this economic model did not account for the long-term impacts of

the disposal or depletion of these finite resources and instead, carried on unreservedly in a “take-make’-

waste” manner, otherwise known as a linear economy. Despite a more profound understanding of our

planet’s available resources, the environmental impact of disposal and depletion, and the technological

advancements of the last several decades, the economic heritage of the last two centuries persists today;

which begs the question: what alternatives are there to a linear economy?

The premise of this course is that through systems-thinking, interdisciplinary solutions for an alternative

economic future are available to us. By looking at resources’ potential, we can shape alternative methods

of procurement, design, application, and create new market demands that aim to keep materials,

products and components in rotation at their highest utility and value. This elective course will delve into

both the theory of a circular economy - which would be a state of complete systemic regeneration and

restoration as well as an optimized use of resources and zero waste - and the practical applications

required in order to achieve this economic model. Achieving perfect circularity represents potentially

transformative systemic change and requires a fundamental re-think of many of our current economic

structures, systems and processes.

This is a full-semester elective course which is designed to create awareness among sustainability

leaders that those structures, systems and processes which exist today are not those which will carry us

(as rapidly as we need) into a more sustaining future. The class will be comprised of a series of lectures,

supported by readings and case-studies on business models, design thinking and materi

• Department: Sustainability Management
• M 4:10 p.m.-6 p.m.
• Instructor: Diana A Trushell
  Info
• 3 points

AI INFUSION

Artificial intelligence (AI) is swiftly infusing the communication discipline with immediate implications for students and practitioners alike. To stay current with rapidly unfolding developments and create new ties with industry, this 0-credit course presents a biweekly series of speakers and panels comprised of alumni, Advisory Board members, and professionals. Speakers discuss their own AI use in the workplace. Students have the opportunity to interact with communication leaders on the forefront of AI implementation.
 
Each session aligns with a different Strategic Communication course topic. Among the areas to be explored are synthetic data and synthetic audience testing, event simulation, retrieval augmented generation (RAG), agentic AI, content production, and personalization at scale. Along with current use cases, a core focus of discussion will be AI governance, leadership strategy and decision-making, workforce training, and the development of principles and policies to guide human-centric and ethical AI implementation.

• Department: Strategic Communication
• T 6 p.m.-7:15 p.m.
• Instructor: Brandy N Dawson
  Info
• 0 points

CRIT NATIVE/INDIGENOUS STUDIES

This course is an interdisciplinary survey of the literature and issues that comprise Native American and Indigenous Studies. Readings for this course are organized around the concepts of indigeneity, coloniality, power and resistance and concomitantly interrogate these concepts for social and cultural analysis. The syllabus is derived from some of the classic and canonical works in Native American Studies such as Custer Died for Your Sins but will also require an engagement with less canonical works such as Red Mans Appeal to Justice in addition to historical, ethnographic and theoretical contributions from scholars that work outside of Native American and Indigenous Studies. This course is open to graduate students and advanced undergraduates.

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

MARKET RESEARCH

Market research is the way that companies identify, understand and develop the target market for their products.  It is an important component of business strategy, and it draws on the research and analytics skills you have learned thus far in the program. Often market research consists of generating your own data, through quantitative and qualitative methodologies, in pursuit of the market research question.

This course is an elective that will expand on quantitative and qualitative methodologies that have been introduced previously, provide an introduction to other methodologies that are more specific to market research, and provide hands-on practice in defining a market research plan from start to finish. Students will also learn about particular types of market research studies and when and how they should be deployed. Students will generate and test their own research instruments. Through the use of case studies and simulations, students will learn how market research fits into an overarching marketing plan for a company.

This course is designed for students who have completed the Research Design and Strategy and Analytics core courses, and who are exploring how research fits into product marketing. You will leave this class understanding the essential aspects of market research, when and how they should be deployed, and the role you could play in small and large companies directing and executing on market research opportunities.

• Department: Applied Analytics
• T 8:10 p.m.-10 p.m.
• Instructor: Diahanna L Post
  Info
• 3 points

GENDER AND COMMUNICATION IN THE WORKPLAC

GENDER & COMM IN THE WORKPLACE

Gender and Communication in the Workplace offers professionals across sectors and industries the knowledge and skills needed to identify the social and linguistic practices enacted at work, and the opportunity to advance the interests of those who run up against barriers to advancement as a result of prejudice and stereotyping.

• Department: Strategic Communication
• M 2:10 p.m.-4 p.m.
• Instructor: Jane M McManus
  Info
• 3 points

AI USER INTERFACES FOR ANALYTICS

AI UI FOR ANALYTICS

In recent years, data analytics and artificial intelligence (AI) have become essential to business intelligence and informed decision making. But to realize the impact of analytics and AI, effective visual communication of data insights via user interfaces (UI), such as web pages and app dashboards, is equally critical. Building effective UIs requires mastering the user experience (UX) design principles and certain front-end development technologies. Furthermore, the recent rise of multimodal Generative AI offers unprecedented opportunities for simplifying, automating, and scaling UX/UI development.

This course provides a comprehensive understanding of UX design principles and best practices for developing UIs while emphasizing ethical considerations and inclusivity. Students will learn to create intuitive and visually engaging websites and dashboards that leverage AI-generated insights, also considering data privacy, diversity, and accessibility. Key topics include the design, implementation, and evaluation of UIs, with hands-on experience in web development technologies like HTML, CSS, and JavaScript, as well as related cloud services. Students will apply state-of-the-art AI technologies to create intelligent and interactive UIs, all while critically assessing data sources and AI models for potential biases.

The course content comprises a blend of conceptual learning and practice assignments. Weekly lectures and reading materials will cover the fundamentals of data visualization and user experience designs. Students will put the gained knowledge into practice through individual design and coding assignments and a group term project.

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• R 8:10 a.m.-10 a.m.
• Instructor: Javid B Huseynov
  Info
• Instructor: Michelle Morales
  Info
• 3 points

Algorithmic Trading with Market Simulato

Algo Trading with Market

The course will cover the fundamentals of Algorithmic Trading, the discipline that brings together computer software, and financial markets to open and close trades based on programmed code. The goal of the course is to help the students to get familiar with the different techniques and strategies used in algorithmic trading and to let them experiment with classical and new algorithms they will create.

During the course, the students will use a Trading Market Simulator: The Rotman Market Simulator – a platform which allows students to transact financial securities with each other on a real time basis. Using the simulator, the students will familiarize themselves with specific decision tasks associated with financial securities, market dynamics, and investment or risk management strategies and get ready for the Rotman Competition.

• Department: Mathematics
• R 10:10 a.m.-11:25 a.m.
• Instructor: Rosanna Pezzo-Brizio
  Info
• 1.5 points

PEDIATRICS & ETHICS

• Department: Bioethics
• W 3:45 p.m.-5:15 p.m.
• Instructor: George Hardart
  Info
• 3 points

Supervised Research

Students conduct research related to biotechnology under the sponsorship of a mentor within the University. The student and the mentor determine the nature and extent of this independent study. In some laboratories, the student may be assigned to work with a postdoctoral fellow, graduate student or a senior member of the laboratory, who is in turn supervised by the mentor. The mentor is responsible for mentoring and evaluating the students progress and performance. Credits received from this course may be used to fulfill the laboratory requirement for the degree. Instructor permission required. Web site: http://www.columbia.edu/cu/biology/courses/g4500-g4503/index.html

• Department: Biological Sciences
• Instructor: Lili Yamasaki
  CULPA: 5 Info
• 3-6 points