INTRO TO QUANTITATIVE RISK MANAGEMENT

iQRM

Students without a strong math background 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: Financial Risk Management, Insurance Risk Management, ERM Modeling.

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

INTRO TO QUANTITATIVE RISK MANAGEMENT

iQRM (ONLINE)

Students without a strong math background 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: Financial Risk Management, Insurance Risk Management, ERM Modeling.

• Department: Enterprise Risk Management
• R 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• Instructor: Michael Ding
  Info
• Instructor: Oleksandra V Lyulko
  Info
• 3 points

FUNDAMENTALS OF SPORTS ANALYTICS

STATISTICS

• Department: Sports Management
• T 8:10 p.m.-10 p.m.
• Instructor: Steven Angel
  Info
• 3 points

CARBON CAPTURE UTILIZATION AND STORAGE

CARBON CAPTURE UTIL & STO

This course covers the technical and non-technical aspects of Carbon Utilization and Storage (CCUS), one of our most important and achievable tools to mitigate climate change. The course begins by presenting our global energy needs and the environmental motivation for CCUS and its natural analogues. Students will review the basic concepts and methods involved in CO2 capture, trapping, and monitoring, as well as established methods for modeling the fate of CO2in the subsurface. Students will then consider the needs and implications of CO2 capture from industrial sources (power plants) and directly from ambient air and examine current examples from around the world. This course will go on to discuss integrating CCUS with renewable energy sources (negative emission) and ocean storage options. Students will think through the challenges associated with CCUS, including the transportation of CO2to storage locations, regulations and incentives, and the public view and acceptance of this technology. The course will end with a discussion of where to go from here to find pathways to a carbon neutral future. At the conclusion of this course, each student will have gained a practical understanding of the potential for CCUS solutions to mitigate climate change and gain experience in presenting related technical and non-technical information to their peers. This will critically inform decision making and hone communication skills for future careers in fossil and renewable energy generation, power distribution, manufacturing, environmental policy, and scientific outreach.

• Department: Sustainability Technology
• R 4:10 p.m.-6 p.m.
• Instructor: David S Goldberg
  Info
• 3 points

IKNS Capstone

IKNS Capstone Project Sem

OVERVIEW: The IKNS Capstone represents the culmination of learning throughout the IKNS program in which students master business-critical concepts in data, analytics, people, networks, integration, and strategy. Working individually and in small teams, students design and deliver a project for a capstone sponsor seeking IKNS expertise to help solve a real-world problem within the sponsor’s organization. Using what they have learned from across the curriculum, students apply IKNS frameworks and use both qualitative and quantitative research to develop a written business report, oral presentation. and a final product for the sponsor including but not limited to a roadmap, strategic plan, white paper, or minimum viable product (MVP). The Capstone provides a final testing ground for students to apply their learning to real organizational needs and also become familiar with consultative approaches. During this course, students collaborate to complete an assignment specified by their Capstone project sponsor. At the conclusion of the Capstone, students provide a report and a strong integrated presentation to the sponsoring organization. Project activity begins at the end of August, with concrete individual and team assignments during the course culminating in a final report and oral presentation delivered in December. 

LOGISTICS: Open to IKNS only. Pre-requisites: Students must complete 24 credits towards their degree prior to the start of the course.

• Department: Information & Knowledge Strat
• W 8:10 p.m.-10 p.m.
• Instructor: Jamie Muskopf
  Info
• 3 points

CODING FOR RISK MANAGEMENT

CODING FOR RISK MGMT

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
• W 6:10 p.m.-8 p.m.
• Instructor: Marcus Eich
  Info
• 3 points

CODING FOR RISK MANAGEMENT

CODING FOR RM (ONLINE)

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
• T 8:10 p.m.-10 p.m.
• Instructor: Terry Leitch
  Info
• 3 points

FINANCIAL RISK MANAGEMENT

FINANCIAL RISK MGMT

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 6:10 p.m.-8 p.m.
• Instructor: Igor Axenov
  Info
• 3 points

FINANCIAL RISK MANAGEMENT

FINANCIAL RM (ONLINE)

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
• W 8:10 p.m.-10 p.m.
• Instructor: Justin Hon
  Info
• 3 points

SPORT ACCOUNTING & FINANCE

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

ETHICAL ISSUES IN MUSEUMS

Ethical questions about museum activities are legion, yet they are usually only discussed when they become headlines in newspapers. At the same time, people working in museums make decisions with ethical and legal issues regularly and seldom give these judgments even little thought. In part, this is due to the fact that many of these decisions are based upon values that become second nature. This course will explore ethical issues that arise in all areas of a museum's operations from governance and management to collections acquisition, conservation, and deaccessioning. We will examine the issues that arise when the ownership of objects in a museum's are questioned; the ethical considerations involved in retention, restitution and repatriation; and what decolonization means for museums.

• Department: Anthropology
• F 2:10 p.m.-4 p.m.
• Instructor: Sally Yerkovich
  Info
• 3 points

FRM PRACTICES

Provides the opportunity to learn how business units operate at an investment bank. Several industry practitioners each spend one to two sessions providing a hands-on experience that recreates the operations and decision-making of front, middle, and back offices work at a bank. Students typically learn the common activities, the data inputs, the analytics, and the applications of the insights.

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

BASEBALL ANALYTICS

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

INSURANCE RISK MANAGEMENT

INSURANCE RISK MGMT

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
• M 8:10 p.m.-10 p.m.
• Instructor: Melissa Miller
  Info
• 3 points

CREDIT RISK MANAGEMENT

CREDIT RISK MGMT

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
• R 8:10 p.m.-10 p.m.
• Instructor: Rahmi E Aktug
  Info
• 3 points

CREDIT RISK MANAGEMENT

CREDIT RISK MGMT (ONLINE)

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
• W 6:10 p.m.-8 p.m.
• Instructor: Alan Cheung
  h-index: 5 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
• R 6:10 p.m.-8 p.m.
• Instructor: Erwin Vincent de Leon
  Info
• 3 points

PROFESSIONAL DEVELOPMENT

The course aims to teach MA in Statistics students how to manage their careers and develop professionally. Topics include resume and cover-letter writing, negotiation, mentoring, interviewing skills and communication across global teams. Top professionals from across the globe speak to students and help improve leadership skills.

• Department: Statistics
• R 1:10 p.m.-2:25 p.m.
• F 1:10 p.m.-2:25 p.m.
• W 4:10 p.m.-5:25 p.m.
• None None-None
• Instructor: Gabriel Young
  CULPA: 7 Info
• 0 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

MANAGING DATA

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

MANAGING DATA

MANAGING DATA ONLINE

• Department: Applied Analytics
• M 6:10 p.m.-8 p.m.
• Instructor: Mohamed Mneimneh
  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 9 a.m.-11 a.m.
• Instructor: Barbra Rothschild
  Info
• 3 points

PRACTICAL PRODUCTION I

Practical Production 1 teaches students best practices regarding film production and technology in the integrated first year of the MFA Film Program through lectures, discussions, pre-production meetings, multi-hour shoots on set and an end-of-the-semester screening. This class is required for all first-year students. Throughout the Fall, students will work in small production groups to prep and shoot a short script in the Prentis studio.  Each week one group will organize a pre-production meeting and then produce a four-hour shoot. The professor will be in attendance and two de-briefing sessions will occur throughout the production to reiterate best film production practices.  Additional assignments will include the creation of various pre-production, production and wrap paperwork and tech deliverables. Additional mandatory production and risk management workshops will be given. The last class will be a screening of all group films and prep/discussion for the 3-5 exercise shot over Winter Break. Required for all first-year students.

• Department: Film
• F 10 a.m.-1 p.m.
• Instructor: Maureen A Ryan
  Info
• 1.5 points

NON-LINEAR OPTION PRICING

Prerequisites: familiarity with Brownian motion, Itô's formula, stochastic differential equations, and Black-Scholes option pricing. Prerequisites: Familiarity with Brownian motion, Itô's formula, stochastic differential equations, and Black-Scholes option pricing. Nonlinear Option Pricing is a major and popular theme of research today in quantitative finance, covering a wide variety of topics such as American option pricing, uncertain volatility, uncertain mortality, different rates for borrowing and lending, calibration of models to market smiles, credit valuation adjustment (CVA), transaction costs, illiquid markets, super-replication under delta and gamma constraints, etc. The objective of this course is twofold: (1) introduce some nonlinear aspects of quantitative finance, and (2) present and compare various numerical methods for solving high-dimensional nonlinear problems arising in option pricing.

• Department: Mathematics
• F 6 p.m.-8:10 p.m.
• 3 points

Nationalism and Cosmopolitanism 1789-PRE

NATIONALISM & COSMOPOLITA

This course analyzes the ideologies of nationalism and cosmopolitanism from 1789 to the present.

• Department: French
• R 1:30 p.m.-3:30 p.m.
• Instructor: Michael F Stanislawski
  CULPA: 66 Wikipedia Info
• 3 points

MATH METHODS FOR ECONOMISTS

• Department: Economics
• MW 4:10 p.m.-5:25 p.m.
• Instructor: Isaac B Bjorke
  Info
• 3 points

MARKET RISK MANAGEMENT

MARKET RISK MGMT

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
• T 6:10 p.m.-8 p.m.
• Instructor: Michael Zwecher
  Info
• 3 points

MARKET RISK MANAGEMENT

MARKET RISK MGMT (ONLINE)

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
• M 8:10 p.m.-10 p.m.
• Instructor: Deniz Ozenbas
  Info
• 3 points

ECONOMETRICS I

• Department: Economics
• TR 4:10 p.m.-5:25 p.m.
• Instructor: Seyhan Erden
  CULPA: 7 Info
• 3 points

PRINTMAKING:DRAWING INTO PRINT

• Department: Visual Arts
• T 10 a.m.-4 p.m.
• Instructor: Tomas Vu Daniel
  CULPA: 4 Info
• 3 points

ADVANCED ECONOMETRICS

• Department: Economics
• T 12:10 p.m.-2 p.m.
• Instructor: Serguei Maliar
  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 10:10 a.m.-11:25 a.m.
• Instructor: Tamar A Lando
  CULPA: 8 Info
• 4 points

ANOMALY DETECTION

• Department: Applied Analytics
• M 6:10 p.m.-8 p.m.
• Instructor: Christopher Kuo
  Info
• 3 points

CREDIT RISK ANALYTICS

CR 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
• T 6:10 p.m.-8 p.m.
• Instructor: Christopher Mann
  Info
• 3 points

CREDIT RISK ANALYTICS

CR RISK ANALYTIC (ONLINE)

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
• T 8:10 p.m.-10 p.m.
• Instructor: Douglas W Dwyer
  Info
• 3 points

TECH ARTS:POST PRODUCTION

Tech Arts: Post Production delivers a practical introduction to modern post production workflows. The course will cover the process of moving efficiently from production to post production, the techniques of non-linear editing and ultimately the process of professionally finishing a film for modern distribution. Students will learn foundational post terminology, how to create the best workflow for your film, how to manage data/footage in the edit room, and offline and online editing.  Additionally, the class will explore other key steps in the post production process including audio syncing, transcoding, exporting and mastering.  The hands-on lessons and exercises will be conducted using the industry-standard non-linear editing system (NLE), Avid Media Composer, and will serve as a primer for other professional systems, including Adobe Premiere and Davinci Resolve.  Students will also learn about Columbia Film’s shared storage system and cloud editing systems, Avid Nexis and Avid Media Central. The course is necessary and required for Columbia Film MFA students as it prepares them for post production, an unavoidable component of the most essential part of the Film MFA, filmmaking.

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

MODEL & TRADE DERIVATIVES

Required Prerequisite: Math GR5010 Intro to the Math of Finance (or equivalent). Recommended Prerequisite: Stat GR5264 Stochastic Processes – Applications I (or equivalent).

The objective of this course is to introduce students, from a practitioner’s perspective with formal derivations, to the advanced modeling, pricing and risk management techniques of vanilla and exotic options that are traded on derivatives desks, which goes beyond the classical option pricing courses focusing solely on the theory. It also presents the opportunity to design, implement and backtest vol trading strategies. The course is divided in four parts: Advanced Volatility Modeling; Vanilla and Exotic Options: Structuring, Pricing and Hedging; FX/Rates Components: Discounting, Forward Projection, Quanto and Compo Options; Designing and Backtesting Vol Trading Strategies in Python.

• Department: Mathematics
• S 10:10 a.m.-noon
• Instructor: Amal Moussa
  h-index: 7 Info
• 3 points

SPORTS GENERAL MANAGEMENT

• Department: Sports Management
• M 4:10 p.m.-6 p.m.
• Instructor: Christopher Lencheski
  Info
• 3 points

PRINTMAKING I: INTAGLIO

• Department: Visual Arts
• MW 2:30 p.m.-5 p.m.
• Instructor: Jennifer Nuss
  Info
• 3 points

PRINTMAKING II: INTAGLIO

• Department: Visual Arts
• MW 2:30 p.m.-5 p.m.
• Instructor: Jennifer Nuss
  Info
• 3 points

APPLIED TEXT AND NATURAL LANGUAGE ANALYT

APPLIED TXT & NAT LANG AN

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• Instructor: Yufeng Huang
  Info
• 3 points

APPLIED TEXT AND NATURAL LANGUAGE ANALYT

APPLD TXT & NAT LANG AN ONLINE

• Department: Applied Analytics
• T 8:10 p.m.-10 p.m.
• Instructor: John Ortega
  h-index: None Info
• 3 points

ETHICS IN THE PHARMACEUTICAL INDUSTRY

ETHICS IN PHARMACEUTICAL

The development of a new drug is a long and expensive process, involving thousands of discrete processes and decisions. Most of these processes reflect some level of ethical diligence and may even be governed by local law. There are a range of formal mechanisms in place in the complex drug development industry (e.g., regulatory requirements, Institutional Review Boards, internal bioethics committees, legislative requirements) to ensure that ethical issues are considered and that best ethical practices are applied throughout the process. And yet, ethical challenges and considerations persist and evolve.   This online 3-credit course will examine some of the major components and drivers of the drug development process from an array of perspectives and analyze the ethical issues surrounding these constituent steps, stages, and components. The course is an elective in the Master of Science Bioethics program and is open, space permitting, to cross-registrants from other fields and/or Columbia University programs. The course is designed for anyone with an interest in the ethics of pharmaceutical product development and the research required to enable it. Registrants should have a foundational understanding of clinical research and development.

• Department: Bioethics
• M 4:50 p.m.-6:40 p.m.
• Instructor: Karla Childers
  Info
• 3 points

LIQUIDITY RISK MANAGEMENT

LIQUIDITY RISK MGMT

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

TECH ARTS

TECH ARTS: CAMERA & LENSES

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• R 6 p.m.-9 p.m.
• Instructor: Gregg L Conde
  Info
• 0 points

TECH ARTS

TECH ARTS: GRIP & ELECTRIC

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• M 6 p.m.-9 p.m.
• Instructor: Matthew D Farrell
  Info
• 0 points

TECH ARTS

TECH ARTS: CINEMA AUDIO

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• T 6 p.m.-9 p.m.
• Instructor: Michael O'Brien
  Info
• 0 points

TECH ARTS

TECH ARTS: CAMERA & LENSES

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• R 6 p.m.-9 p.m.
• Instructor: Gregg L Conde
  Info
• 0 points

TECH ARTS

TECH ARTS: GRIP & ELECTRIC

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• M 6 p.m.-9 p.m.
• Instructor: Matthew D Farrell
  Info
• 0 points

TECH ARTS

TECH ARTS: CINEMA AUDIO

The Tech Arts curriculum is a hands-on, experiential way for our students to learn best practices regarding film production and post production technology in the integrated first year of the MFA Film Program. The curriculum will be taught in 3 different disciplines/sections with up to 12. Instructors: Matthew Farrell, Michael O’Brien, Gregg Conde

 The disciplines/sections are: Cameras and Lenses, Grip and Electric, and Cinema Audio. Students will all be required to take one discipline for registration in their first year.

Cameras and Lenses, Grip and Electric, and Cinema Audio will educate students on this topics utilizing the cameras and lens equipment offered by Film’s Production Center in Nash. In addition to the practicum workshops students will be required to do specific readings and assignments to maximize their learning of the weekly subject matter and participate in class discussion.

Practical Production 1: Lab-Tech Arts Curriculum takes students through the principles of cinematography, lighting, framing, and audio production by working directly with the equipment and technology through small group sections. Technological competency is required to maximize what they are learning through their other classes in directing, screenwriting and producing classes.

• Department: Film
• T 6 p.m.-9 p.m.
• Instructor: Michael O'Brien
  Info
• 0 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
• T 12:10 p.m.-2 p.m.
• Instructor: William G Ritter
  Info
• 3 points

PRINTMAKING I: RELIEF

• Department: Visual Arts
• MW 9:30 a.m.-noon
• Instructor: Nathan N Catlin
  Info
• 3 points

FINANCIAL DATA SCIENCE AND MACHINE LEARN

FIN DATA SCI & MACHINE LE

This course teaches cutting-edge tools and methods that drive investment decisions at quantitative trading firms, and, more generally, firms applying machine learning to big data. The course will combine presentations of theory, immediately followed by in-class Python programming examples using real financial data. The course will develop a general approach to building models of economic and financial processes, with a focus on statistical learning techniques that scale to large data sets. Among the topics covered are lasso, elastic net, cross validation, Bayesian models, the EM algorithm, Support Vector Machines, kernel methods, Gaussian processes, Hidden Markov Models, and neural networks. The final project will lead the students to build a trading strategy based on the techniques learned throughout the course.

• Department: Applied Analytics
• T 8:10 p.m.-10 p.m.
• Instructor: William G Ritter
  Info
• 3 points

BLOCKCHAIN AND ERM

BLOCKCHAIN & 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
• M 8:10 p.m.-10 p.m.
• W 8:10 p.m.-10 p.m.
• Instructor: Rajeev Dave
  Info
• Instructor: Ivan Bakrac
  Info
• 3 points

PRINTMAKING I: SILKSCREEN

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

PRINTMAKING II: SILKSCREEN

• Department: Visual Arts
• R 10 a.m.-4 p.m.
• Instructor: Saskia Krafft
  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
• W 8:10 p.m.-10 p.m.
• Instructor: Javid B Huseynov
  Info
• 3 points

RESEARCH ETHICS

In recent years, many crucial issues have arisen concerning research ethics. Scientists in biomedicine, social science and other areas, as well as policy makers face rapidly evolving challenges. In recent years, violations of research ethics have attracted attention from the public, the media, the government, and the scientific community, which have all responded in varying ways. Issues arise in deciding how best to protect human subjects, obtain informed consent, protect privacy and confidentiality, finance research without biasing results, and avoid “misbehavior” among scientists. Questions arise concerning the professional responsibilities and rights of scientists, the rights of study participants, and the appropriate role of the state in these matters.

The course meets online once a week for an hour and a half, with extensive interaction between students and the professor both during class and on post-class discussion forums. It can fulfill the requirements for Responsible Conduct of Research that the NIH and other funders currently mandate for training programs that they support.

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

RESEARCH ETHICS

RESEARCH ETHICS (ONLINE)

In recent years, many crucial issues have arisen concerning research ethics. Scientists in biomedicine, social science and other areas, as well as policy makers face rapidly evolving challenges. In recent years, violations of research ethics have attracted attention from the public, the media, the government, and the scientific community, which have all responded in varying ways. Issues arise in deciding how best to protect human subjects, obtain informed consent, protect privacy and confidentiality, finance research without biasing results, and avoid “misbehavior” among scientists. Questions arise concerning the professional responsibilities and rights of scientists, the rights of study participants, and the appropriate role of the state in these matters.

The course meets online once a week for an hour and a half, with extensive interaction between students and the professor both during class and on post-class discussion forums. It can fulfill the requirements for Responsible Conduct of Research that the NIH and other funders currently mandate for training programs that they support.

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

Research Ethics

This course is offered for early year Biology PhD students only and meets the first 8 weeks of the semester.

In
 
recent years, many crucial issues have arisen concerning research ethics. Scientists in biomedicine, social science and other areas, as well as policy makers face rapidly evolving challenges. In recent years, violations of research ethics have attracted attention from the public, the media, the government, and the scientific community, which have all responded in varying ways. Issues arise in deciding how best to protect human subjects, obtain informed consent, protect privacy and confidentiality, finance research without biasing results, and avoid “misbehavior” among scientists. Questions arise concerning the professional responsibilities and rights of scientists, the rights of study participants, and the appropriate role of the state in these matters.

The course meets in person and online for 2 hours, with extensive interaction between students and the professor both during class and on post-class discussion forums. It can fulfill the requirements for Responsible Conduct of Research that the NIH and other funders currently mandate for training programs that they support.

• Department: Bioethics
• W 4:10 p.m.-6 p.m.
• Instructor: Joel Roselin
  Info
• 2 points

Research Ethics

This course is offered for Biology PhD students only and meets the last 5 weeks of the semester. 

In
 
recent years, many crucial issues have arisen concerning research ethics. Scientists in biomedicine, social science and other areas, as well as policy makers face rapidly evolving challenges. In recent years, violations of research ethics have attracted attention from the public, the media, the government, and the scientific community, which have all responded in varying ways. Issues arise in deciding how best to protect human subjects, obtain informed consent, protect privacy and confidentiality, finance research without biasing results, and avoid “misbehavior” among scientists. Questions arise concerning the professional responsibilities and rights of scientists, the rights of study participants, and the appropriate role of the state in these matters.

The course meets in person or online for 2 hours, with extensive interaction between students and the professor both during class and on post-class discussion forums. It can fulfill the requirements for Responsible Conduct of Research that the NIH and other funders currently mandate for training programs that they support.

• Department: Bioethics
• W 4:10 p.m.-6 p.m.
• Instructor: Joel Roselin
  Info
• 1 points

MENTAL HEALTH ETHICS

This course will introduce you to both “classic” and emerging topics that exist at the intersections of Bioethics and broad topics of mental health and illness. We will survey topics within four themes: Medicine & Psychiatry; Policy & Law; Stigma, Narrative, & Lived Experience; and Social Contexts & Justice.

The course begins with a theoretical look at historical concepts of mental illness, long-standing psychiatric diagnostic systems and emerging genomics-based diagnosis, and a consideration of treatment modalities including pharmaceuticals and neurotechnology. We then survey historical and legal dimensions of mental health policy, including psychiatric institutions and deinstitutionalization, questions of capacity, and definitions of dangerousness.

• Department: Bioethics
• W 4:10 p.m.-6 p.m.
• Instructor: Sara M Bergstresser
  h-index: 5 Info
• 3 points

Healthcare Analytics

Data and analytics have always been central to understanding diseases, delivering healthcare and improving patient outcomes. As far back as the 1800’s, Florence Nightingale used data and analytics to reduce the number of deaths of British soldiers in the Crimean War by two-thirds, and John Snow used data and analytics to contain the outbreak of cholera in London. Both used data visualization to communicate their findings and drive change. Today, we have a much deeper understanding of diseases and many more treatment options available. However, the adoption of advanced analytics in healthcare has not kept pace with adoption in other industry sectors, such as financial services and retail. One thing that has not changed since the days of Florence Nightingale and John Snow is the importance of clearly communicating data-driven insights for maximum impact. These lessons are evident in our current challenges with COVID, especially relating to testing, vaccination and individual behaviors. The barriers in the contemporary healthcare environment are high because the outcomes are critical, there are multiple stakeholders, and the system is siloed with discrete, and sometimes competing, needs and expectations. Healthcare is inherently human-centered. Therapeutic interventions cannot improve lives unless healthcare providers and patients adopt them. As with all applications of analytics, providing insights that are understandable and actionable is critical.

In Healthcare Analytics, students will gain a strategic understanding of the healthcare industry, knowledge of how different stakeholder groups use data and analytics to inform scientific, clinical and operational decisions, and how state of the art analytics are transforming every aspect of healthcare from how drugs are discovered and developed to how population and individual health outcomes are optimized. Students will learn how to communicate healthcare data and analyses to drive the adoption of insights by healthcare providers and patients.

Healthcare Analytics is an elective that is intended for students who are interested in learning about healthcare and analytics and students who are interested in pursuing a career using analytics in the healthcare industry sector or in healthcare consulting. This full semester course will be offered online, and is open to APAN students who have successfully completed Applied Analytics in an Organizational Context (APAN PS5100), Storytelling with Data (APAN PS5800), Strategy and Analytics (APAN

• Department: Auditing
• M 6:10 p.m.-8 p.m.
• Instructor: David Kreutter
  Info
• 0 points

Healthcare Analytics

Data and analytics have always been central to understanding diseases, delivering healthcare and improving patient outcomes. As far back as the 1800’s, Florence Nightingale used data and analytics to reduce the number of deaths of British soldiers in the Crimean War by two-thirds, and John Snow used data and analytics to contain the outbreak of cholera in London. Both used data visualization to communicate their findings and drive change. Today, we have a much deeper understanding of diseases and many more treatment options available. However, the adoption of advanced analytics in healthcare has not kept pace with adoption in other industry sectors, such as financial services and retail. One thing that has not changed since the days of Florence Nightingale and John Snow is the importance of clearly communicating data-driven insights for maximum impact. These lessons are evident in our current challenges with COVID, especially relating to testing, vaccination and individual behaviors. The barriers in the contemporary healthcare environment are high because the outcomes are critical, there are multiple stakeholders, and the system is siloed with discrete, and sometimes competing, needs and expectations. Healthcare is inherently human-centered. Therapeutic interventions cannot improve lives unless healthcare providers and patients adopt them. As with all applications of analytics, providing insights that are understandable and actionable is critical.

In Healthcare Analytics, students will gain a strategic understanding of the healthcare industry, knowledge of how different stakeholder groups use data and analytics to inform scientific, clinical and operational decisions, and how state of the art analytics are transforming every aspect of healthcare from how drugs are discovered and developed to how population and individual health outcomes are optimized. Students will learn how to communicate healthcare data and analyses to drive the adoption of insights by healthcare providers and patients.

Healthcare Analytics is an elective that is intended for students who are interested in learning about healthcare and analytics and students who are interested in pursuing a career using analytics in the healthcare industry sector or in healthcare consulting. This full semester course will be offered online, and is open to APAN students who have successfully completed Applied Analytics in an Organizational Context (APAN PS5100), Storytelling with Data (APAN PS5800), Strategy and Analytics (APAN

• Department: Applied Analytics
• M 6:10 p.m.-8 p.m.
• Instructor: David Kreutter
  Info
• 3 points

HEALTH POLICY & BIOETHICS

This course introduces students to how healthcare policy is created and implemented in the United States and abroad, while also raising critical ethical issues surrounding healthcare policy for the US, and other industrialized as well as poorer nations. Through lectures, discussions, and readings from the current literature, we will explore the political processes and concerns which produce our current policy; examine the major issues being debated surrounding the creation and delivery of healthcare, including ethical issues; explore the process by which we induce biomedical progress and development; explore barriers to sound healthcare production and delivery in various countries, and examine the recent reforms wrought through the Affordable Care Act (Obamacare). In addition, we will spend a few units looking, in detail, at the unusual challenges posed in delivering healthcare to the poor and the elderly.

• Department: Bioethics
• M 2 p.m.-3:50 p.m.
• Instructor: Jonathan Engel
  Info
• 3 points

SPORTS LAW AND ETHICS

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

WRITING OP-EDS, SMALL PERSONAL ESSAYS AN

WRITING OP-EDS, ESSAYS &

This class is designed to give students exercises and guided experiences in producing and marketing publishable opinion essays. In the last two decades, newspapers, magazines and websites have opened up their pages to reader contributions. This development provides an unprecedented opportunity for students and faculty to connect with the general public about policy issues—and also to their personal passions. Op-eds provide a relatively new pathway to communication and advocacy. This course aims to teach journalistic writing so that our students can gain a larger forum on matters like climate mitigation, conservation biology, green roofs, urban farming, ecologic waste disposal, environmental justice, and pandemic prevention.

• Department: Sustainability Management
• T 6:10 p.m.-8 p.m.
• Instructor: Claudia Dreifus
  CULPA: 1 Wikipedia Info
• 3 points

INTRO TO BLOCKCHAIN, CRYPTO$ & ANALYTICS

BLOCKCHAINCRYPTOCURRENCY &ANL

TBD

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

JOURNALISM & BIOETHICS

• Department: Bioethics
• R 8 p.m.-10 p.m.
• Instructor: Harriet A Washington
  Wikipedia Info
• 3 points

ORGAN TRANSPLANT ETHICS

• Department: Bioethics
• F 9 a.m.-11 a.m.
• Instructor: David N Hoffman
  h-index: 2 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

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

CAPSTONE PROJECT

CONSTRUCTION CAPSTONE PROJECT

• Department: Construction Administration
• W 6:10 p.m.-8 p.m.
• 3 points

M.A. ESSAY

• Department: French
• Instructor: Keithley Woolward
  Info
• 3 points

Introduction to Medieval Manuscript Stud

Intro to Medieval Manuscr

This team-taught course introduces methods for studying medieval manuscripts through weekly hands-on instruction and assignments. Students will become acquainted with the collections of medieval manuscripts at Columbia, and will learn from the scholars at Columbia who specialize in the material study of manuscripts as artifacts as well as in types of manuscripts as defined by their textual contents. The course provides a foundation for advanced work and satisfies the material text requirement of the MA in Medieval and Renaissance Studies.

• Department: Medieval and Renaissance Studies
• F 10 a.m.-noon
• Instructor: Emily Runde
  Info
• 4 points

Intro to Moving Image: Video, Film & Art

Intro Moving Image:Video,

Intro to Moving Image: Video, Film & Art is an introductory class on the production and editing of digital video. Designed as an intensive hands-on production/post-production workshop, the apprehension of technical and aesthetic skills in shooting, sound and editing will be emphasized. Assignments are developed to allow students to deepen their familiarity with the language of the moving image medium. Over the course of the term, the class will explore the language and syntax of the moving image, including fiction, documentary and experimental approaches. Importance will be placed on the decision making behind the production of a work; why it was conceived of, shot, and edited in a certain way. Class time will be divided between technical workshops, viewing and discussing films and videos by independent producers/artists and discussing and critiquing students projects. Readings will be assigned on technical, aesthetic and theoretical issues. Only one section offered per semester. If the class is full, please visit http://arts.columbia.edu/undergraduate-visual-arts-program.

• Department: Visual Arts
• W 10 a.m.-4 p.m.
• Instructor: Shelly Silver
  CULPA: 1 Info
• 3 points

SPECIAL PROJECTS WORKSHOP

• Department: Writing
• T 6:30 p.m.-9:30 p.m.
• Instructor: Thomas A Donovan
  Info
• 6 points

Supervised Independent Research

Students conduct research related to biotechnology under the sponsorship of a mentor outside the University within the New York City Metropolitan Area unless otherwise approved by the Program. 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

Supervised Independent Research

Students conduct research related to biotechnology under the sponsorship of a mentor outside the University within the New York City Metropolitan Area unless otherwise approved by the Program. 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

COMPANY FAILURES

Examination of areas critical to an organization’s success from strategic, operational, financial, and insurance perspectives, and examines why many companies fail in spite of the vast knowledge of factors driving success. Several case studies examined in depth.

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• Instructor: Adam H Litke
  Info
• 3 points

COMPANY FAILURES

COMPANY FAILURES (ONLINE)

Examination of areas critical to an organization’s success from strategic, operational, financial, and insurance perspectives, and examines why many companies fail in spite of the vast knowledge of factors driving success. Several case studies examined in depth.

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

MAFN FIELDWORK

Prerequisites: all 6 MAFN core courses, at least 6 credits of approved electives, and the instructors permission. See the MAFN website for details. This course provides an opportunity for MAFN students to engage in off-campus internships for academic credit that counts towards the degree. Graded by letter grade. Students need to secure an internship and get it approved by the instructor.

• Department: Mathematics
• Instructor: Lars T Nielsen
  h-index: 17 Info
• 1-3 points

Archive Photography

In times where millions of images are being made every day, how can a photographer create an original body of work? With this idea in mind, this class will explore a multi-directional approach to archive based photography and how to create a project around it. Gripped by Jacques Derrida’s “archive fever,” photography has remapped its field of practice around the capture, reimagining, and explanation of the archival object. This class explores many types of archives–family albums, government records, flea market collectibles, historical photographs, precious objects, and paper documents. We will use a series of lens based technologies, starting from the flatbed scanner and radiating outward. We will explore archive concerns including consent, ownership, privacy, circulation, respect, and political impact. For midterm and final projects, students will explore the many display forms available for the photography derived archival project. The final result of this class, students can both project their bodies of work towards becoming a fanzine, a book or an exhibition that will help to resurface the memories of these photographs with a fresh eye.

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

RISK REGULATIONS IN FINANCE

RISK REG IN FINANCE

This course examines post-financial crisis regulations including Basel III, Fundamental Review of the Trading Book (FRTB), Dodd-Frank Act, Supervision and Regulation Letter 11-7 (SR 11-7), and others.  Case studies will explore the technical details of these new rules; and guest lectures from industry experts will bring the material to life.  Areas of focus include: model risk management, stress testing, derivatives, and insurance.  By the end of this course students will be able to:


Evaluate the purpose and limitations of risk regulations in finance.

Identify and communicate weaknesses in a financial firm.

Communicate with regulators.

Understand Recovery and Resolution Plans or “Living Wills” for a financial firm.

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• Instructor: Jean Michel Ngalikpima
  Info
• 3 points

RISK REGULATIONS IN FINANCE

RISK REG IN FIN (ONLINE)

This course examines post-financial crisis regulations including Basel III, Fundamental Review of the Trading Book (FRTB), Dodd-Frank Act, Supervision and Regulation Letter 11-7 (SR 11-7), and others.  Case studies will explore the technical details of these new rules; and guest lectures from industry experts will bring the material to life.  Areas of focus include: model risk management, stress testing, derivatives, and insurance.  By the end of this course students will be able to:


Evaluate the purpose and limitations of risk regulations in finance.

Identify and communicate weaknesses in a financial firm.

Communicate with regulators.

Understand Recovery and Resolution Plans or “Living Wills” for a financial firm.

• Department: Enterprise Risk Management
• R 8:10 p.m.-10 p.m.
• Instructor: Michael Leibrock
  Info
• 3 points

Career Development for Quantitative Fina

Career Develop for Quant

This course helps the students understand the job search process and develop the professional skills necessary for career advancement. The students will not only learn the best practices in all aspects of job-seeking but will also have a chance to practice their skills. Each class will be divided into two parts: a lecture and a workshop.

In addition, the students will get support from Teaching Assistants who will be available to guide and prepare the students for technical interviews.

• Department: Mathematics
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Lars T Nielsen
  h-index: 17 Info
• 0 points

ESG AND ERM

ESG & ERM

ESG will be a driving force in risk management in upcoming years. ERM / Risk professionals need a solid understanding of emerging ESG trends and regulations and how they apply to day-to-day job responsibilities. The ESG and ERM course begins with an overview of the ESG landscape and framework. After a foundational understanding is established, the course focuses on incorporating ESG into enterprise risk management, including identification, quantification, decision making, and reporting of ESG-related risks.

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• T 8:10 p.m.-10 p.m.
• Instructor: Helda Rock
  Info
• Instructor: Yana Parfenyuk
  Info
• Instructor: Rajat Baijal
  Info
• 3 points