SPORT ACCOUNTING & FINANCE

• Department: Sports Management
• T 6:10 p.m.-8 p.m.
• 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

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

FUNDRAISING FUNDAMENTALS FOR NONPROFITS

FUNDRAISING FUND FOR NONPRFTS

This course provides a comprehensive overview of fundraising and development in the nonprofit sector and introduces students to basic terminology and concepts in the field. The various fundraising vehicles are surveyed and participants learn to apply fundraising strategies as they balance individual donor and institutional needs. Relationship building, the solicitation process, the psychological dynamics and the realities of asking for money are examined as students refine their skills through analysis of case studies and participation in role playing exercises. A full array of written formats used by fundraising professionals including mission statements, grant proposals, acknowledgment letters, and campaign appeal materials are introduced. While students develop an understanding of the essentials of fundraising operations, they also examine the larger issues confronting today’s fundraising managers as well as explore the relationships between fundraisers and a nonprofit organization’s management structure and other stakeholders.

• Department: Non Profit Management
• M 6:10 p.m.-8 p.m.
• Instructor: John Hicks
  Info
• 3 points

BASEBALL ANALYTICS

• Department: Sports Management
• R 6:10 p.m.-8 p.m.
• Instructor: Joseph M Rosales
  Info
• 3 points

INSURANCE RISK MANAGEMENT

INSURANCE RISK MGMT

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• Instructor: Mary Ellen Luning
  Info
• 3 points

CREDIT RISK MANAGEMENT

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• Instructor: Christopher Mann
  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
• W 6:10 p.m.-8 p.m.
• Instructor: Thomas W Watson
  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
• F 1:10 p.m.-2:25 p.m.
• Instructor: Demissie Alemayehu
  h-index: 14 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
• 0-1 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
• 0-1 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: Xiaofei Shi
  h-index: 4 Info
• 0-1 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.
• W 6:10 p.m.-8 p.m.
• Instructor: Amreeta Choudhury
  Info
• Instructor: Nikolaos Machairas
  Info
• 3 points

MANAGING DATA

MANAGING DATA ONLINE

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

INTRO TO CLINICAL ETHICS

INTRO CLINICAL ETHICS (ONLINE)

• Department: Bioethics
• T 9 a.m.-10:30 a.m.
• Instructor: Barbra Rothschild
  Info
• 3 points

DYNAMICS CLIMATE VAR & CHNG

Required for students in the Climate and Society MA Program Prerequisites: undergraduate course in climate or physics; undergraduate calculus An overview of how the climate system works on large scales of space and time, with particular attention to the science and methods underlying forecasts of climate variability and climate change. This course serves as the basic physical science course for the MA program in Climate and Society

• Department: Earth and Environmental Sciences
• TR 10:10 a.m.-11:25 a.m.
• TR 11:40 a.m.-12:55 p.m.
• 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: Julia L Thompson
  Info
• 1.5 points

MODELS-CLIM NAT/HUM SYSTEMS

Required course for students in the Climate and Society MA program. An overview of how climate-societal and intra-societal relationships can be evaluated and quantified using relevant data sets, statistical tools, and dynamical models. Concepts and methods in quantitative modeling, data organization, and statistical analysis, with applications to climate and climate impacts. Students will also do some simple model experiments and evaluate the results. Lab required. Pre-requisites: undergraduate-level coursework in introductory statistics or data analysis; knowledge of calculus; basic familiarity with R programming language.

• Department: Earth and Environmental Sciences
• M 4:10 p.m.-6:40 p.m.
• W 4:10 p.m.-6:40 p.m.
• 4 points

Practical Production I: Tech Arts Lab

Pract Prod I: Tech Arts L

REQUIRED TECH ARTS LAB SESSIONS: 3 Workshop-sized sections taught evenings for 6 weeks Week beginning: October 25 Nash Prod. Ctr 6pm-9pm KEY TECHNICAL CONCEPTS – CINEMA AUDIO Listening and recording techniques. Equipment overview – microphones (boom and lavalier), digital recording devices and audio deliverables November 1 Nash Prod. Ctr 6pm-9pm HANDS-ON TEAM WORK FOR CINEMA AUDIO RECORDING AND CRITIQUE Small teams record three different “audio scenarios” and bring back to class for workshop critique November 8 Nash Prod. Ctr 6pm-9pm KEY TECHNICAL CONCEPTS – CAMERA AND LENSES Camera and lens properties. Topics include depth of field (shallow and deep), camera shutter, ISO, Codes and white balance November 15 Nash Prod. Ctr 6pm-9pm HANDS-ON TEAM WORK FOR CAMERA AND LENSES AND CRITIQUE Small teams record three different “shoot set-ups” and bring back to class for workshop critique November 29 Nash Prod. Ctr 6pm-9pm KEY TECHNICAL CONCEPTS – GRIP AND ELECTRIC Types of lighting set-ups including interior three-point lighting and exterior lighting. Delineation between lighting and grip equipment and proper usage. How to use a light meter December 6 Nash Prod. Ctr 6pm-9pm HANDS-ON TEAM WORK FOR GRIP AND ELECTRIC AND CRITIQUE Small teams record three different “lighting and set-ups” and bring back to class for workshop critique

• Department: Film
• M 6 p.m.-9 p.m.
• T 6 p.m.-9 p.m.
• R 6 p.m.-9 p.m.
• 0 points

MANAGING & ADAPTING TO CLIMATE

This course offers an exploration of the concepts, methods, and tools required to analyze climate-related problems and craft solutions for reducing vulnerability and building resilience to climate variability and change. Drawing on the framework of risk analysis, the course examines and integrates risk assessment, risk perception, risk communication, and risk management. The course explores several forms of climate governance, including market-based and policy responses, as well as the kinds of cultural and behavioral change that can be promoted by communication and education. Rather than focusing in a single discipline, the course spans both social and natural sciences. It also bridges a number of divides, including those between research and applications, between developed and developing countries, and between the temporal scales of climate variability and change.

• Department: Earth and Environmental Sciences
• T 1:10 p.m.-3:55 p.m.
• R 1:10 p.m.-3:55 p.m.
• 3 points

MATH METHODS FOR ECONOMISTS

• Department: Economics
• MW 10:10 a.m.-11:25 a.m.
• Instructor: Evan D Sadler
  Info
• 3 points

PRINTMAKING I: PHOTOGRAVURE

The purpose of this course is to incorporate the photomechanical intaglio printmaking process into the student’s own work, and in turn, for them to capitalize on its usage as part of their visual arts language. The students will learn the
polymer plate
process known as
Solar Plate
and structure it to the concepts they are creating and investigating. By integrating it into conventional intaglio techniques and combining them into finished works, the student’s printmaking lexicon will be expanded. This course is a concise study and practice of the process of photoetching, also known as photoengraving, utilizing non-toxic photo-polymer plates, thus reducing the exposure to harmful chemicals used in other photomechanical printmaking processes. This also coincides with the transitioning of the print studio into a
Green
workplace.

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

ECONOMETRICS I

• Department: Economics
• TR 2:40 p.m.-3:55 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
• M 10:10 a.m.-noon
• Instructor: Serguei Maliar Pushnoy
  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 1:10 p.m.-2:25 p.m.
• Instructor: Tamar A Lando
  CULPA: 8 Info
• 4 points

ANOMALY DETECTION

• Department: Applied Analytics
• T 6:10 p.m.-8 p.m.
• Instructor: Christopher Kuo
  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

Prerequisites: Math GR5010 Required: Math GR5010 Intro to the Math of Finance (or equivalent),Recommended: 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 that are used on derivatives desks in the industry, which goes beyond the classical option pricing courses focusing solely on the theory. The course is divided into four parts: Differential discounting, advanced volatility modeling, managing a derivatives book, and contagion and systemic risk in financial networks.

• 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
• M 6:10 p.m.-8 p.m.
• Instructor: Javid B Huseynov
  Info
• 3 points

APPLIED TEXT AND NATURAL LANGUAGE ANALYT

APPLD TXT & NAT LANG AN ONLINE

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

TECH ARTS

TECH ARTS:CAMERAS&LENSES

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

TECH ARTS

TECH ARTS:GRIP&ELECTRIC

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

TECH ARTS

TECH ARTS:CINEMA&AUDIO

• Department: Film
• T 6 p.m.-9 p.m.
• Instructor: Michael O'Brien
  Info
• 1.5 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
• R 8:10 p.m.-10 p.m.
• Instructor: Renzo Silva
  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
• M 8:10 p.m.-10 p.m.
• Instructor: William G Ritter
  Info
• 3 points

IMPACT FINANCE FOR SUSTAINABILITY PRACTI

IMPACT FINANCE FOR STNBLT

Impact Finance for Sustainability Practitioners

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

RESEARCH ETHICS

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

RESEARCH ETHICS

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

RESEARCH ETHICS

RESEARCH ETHICS (ONLINE)

• Department: Bioethics
• T 6:15 p.m.-7:45 p.m.
• Instructor: Robert L Klitzman
  Wikipedia Info
• 3 points

HEALTH POLICY & BIOETHICS

• Department: Bioethics
• M 2:10 p.m.-4 p.m.
• Instructor: Jonathan Engel
  Info
• 3 points

SPORTS LAW AND ETHICS

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

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

CLINICAL ETHICS: END OF LIFE CARE

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

CIRCULAR ECONOMY FOR SUSTAINABILITY PROF

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

AI AND ETHICS

tba

• Department: Bioethics
• W 5:30 p.m.-7 p.m.
• Instructor: Molly V Lucas
  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.
• Instructor: John B Parkinson
  Info
• 3 points

Ethics: Inclusive Storytelling

This course focuses on the necessary and often undiscussed role of ethics and inclusivity in storytelling and story creation. This course will provide space, as requested by the students, faculty and staff, for facilitated discussion around narrative ownership, comedy, history of on-screen portrayals, intersectionality, the business of inclusion and other related topics so that students walk away with a personal inclusive storytelling plan and a greater level of cultural competency as they continue their creative journeys.  The instructors are professionals in the entertainment space with deep knowledge and practical Equity, Diversity and Inclusion (EDI) experience.

• Department: Film
• W 6 p.m.-9 p.m.
• 1.5 points

M.A. ESSAY

• Department: French
• Instructor: Christine Valero
  Info
• 3 points

BEGINNING VIDEO

• Department: Visual Arts
• Instructor: Shelly Silver
  CULPA: 1 Info
• 3 points

SPECIAL PROJECTS WORKSHOP

• Department: Writing
• W 9:30 a.m.-12:30 p.m.
• Instructor: Leanne Shapton
  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

• Department: Enterprise Risk Management
• W 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• Instructor: Steve Lindo
  Info
• Instructor: Adam H Litke
  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

RACE AND BIOETHICS

• Department: Bioethics
• M 8:30 p.m.-10 p.m.
• Instructor: Harriet A Washington
  Wikipedia Info
• 3 points

RISK REGULATIONS 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
• W 6:10 p.m.-8 p.m.
• Instructor: Michael Leibrock
  Info
• 3 points

DERIVATIVES RISK MANAGEMENT

This course explores financial derivatives across different asset classes with in-depth analysis of several popular trades including block trades, program trades, vanilla options, digital options, and variance swaps.  Their dynamics and risks are explored through Monte Carlo simulation using Excel and Python. The daily decisions and tasks of a frontline risk manager are recreated and students have the opportunity to see which trades they would approve or reject. Students will gain a working knowledge of financial derivatives and acquire technical skills to answer complex questions on the trading floor.

• Department: Enterprise Risk Management
• M 8:10 p.m.-10 p.m.
• Instructor: Alberto Scalari
  Info
• 3-6 points

ERM MODELING

ERM MODELING (ONLINE)

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• Instructor: Tom Passante
  Info
• 3 points

ERM MODELING

• Department: Enterprise Risk Management
• R 6:10 p.m.-8 p.m.
• Instructor: Ben Steiner
  Info
• 3 points

SPORTS SPONSORSHIP & SALES

• Department: Sports Management
• R 6:10 p.m.-8 p.m.
• Instructor: Tracy Belmear
  Info
• 3 points

HUMAN RIGHTS & ORAL HISTORY

HUM RGTS & ORAL HIST

This course will explore the possibilities and challenges of using oral history methods in the context of human rights work. The course is open to graduate students of oral history, human rights, journalism, and related fields; no prior experience with oral history interviewing is required. Oral history can be a powerful means of documenting human rights abuses, oppression and conflict “from the bottom up” and facilitating the understanding and possible transformation of conditions of conflict and oppression. It can open the space for people and narratives that have been marginalized to challenge official narratives and complicate narrow accounts of conflict and oppression. The course will first explore what is distinct about oral history by comparing it to more familiar forms of human rights testimony, such as the collection of testimony in a court of law or through a truth and reconciliation process. With its commitment to long-form, life narrative interviews and archival preservation, oral history situates conflict and human rights abuses within the broader context of a life, a historical trajectory, and a cultural setting. Through case studies and guest speakers, we will examine how different goals — such as documentation, justice, healing, or reconciliation — may shape the use of oral history methods, both productively and with friction. The course covers interviewing skills and project planning specifically for human rights oral history projects, and explores various dimensions of how power, politics, and ethics come into play — navigating sticky ethics and security concerns in contexts that are heavily politicized; contending with the effects of trauma on both narrators and interviewers; and the challenges of realizing ideals of shared authority amid the power dynamics of a global humanitarian and human rights regime. Finally, we will explore how oral history can work alongside other forms of memory and witnessing that go beyond words, such as art, activism, and memorial.

• Department: Institute for Study of Human Rights
• T 2:10 p.m.-4:30 p.m.
• Instructor: Zoe Westhof
  Info
• 4 points

SYSTEMIC RISK

SYSTEMIC RISK (ONLINE)

• Department: Enterprise Risk Management
• F 10:10 a.m.-noon
• Instructor: Venkat Venkatasubramanian
  h-index: 58 Info
• 3 points

SYSTEMIC RISK

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

SPORTS MARKETING

• Department: Sports Management
• T 4:10 p.m.-6 p.m.
• M 6:10 p.m.-8 p.m.
• Instructor: Kristin Connelly
  Info
• Instructor: Grant J Son
  Info
• 3 points

INFORMATION TECHNOLOGY RISK MANAGEMENT

IT RISK MGMT (ONLINE)

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

INFORMATION TECHNOLOGY RISK MANAGEMENT

IT RISK MGMT

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

INFORMATION TECHNOLOGY RISK MANAGEMENT

IT RISK MANAGEMENT

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• Instructor: Ondrej Krehel
  Info
• 3 points

SPORTS BUSINESS COMMUNICATIONS & PR

• Department: Sports Management
• R 2:10 p.m.-4 p.m.
• Instructor: Joseph Favorito
  Info
• 3 points

DIGITAL SPORTS MEDIA & MARKETING

DIG SPRTS MEDIA & MRKTG

• Department: Sports Management
• W 4:10 p.m.-6 p.m.
• Instructor: Tom Richardson
  Info
• 3 points

COGNITIVE BIAS & ERM

COGNITIVE BIAS & ERM (ONLINE)

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

COGNITIVE BIAS & ERM

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• Instructor: Rich Lauria
  Info
• 3 points

STRATEGY AND ANALYTICS

• Department: Applied Analytics
• W 8:10 p.m.-10 p.m.
• F 12:10 p.m.-2 p.m.
• Instructor: Ranjit Kumble
  Info
• Instructor: Lisa Godek
  Info
• 3 points

STRATEGY AND ANALYTICS

STRATEGY AND ANALYTICS ONLINE

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

CAPSTONE

• Department: Strategic Communication
• R 6:10 p.m.-9 p.m.
• None None-None
• Instructor: Victoria L Fullard
  Info
• Instructor: Mark Truss
  Info
• 3 points

ERM INTERNSHIP

• Department: Enterprise Risk Management
• F 6:10 p.m.-8 p.m.
• Instructor: Diane M Spizzirro
  Info
• 3 points

ERM INTERNSHIP

ERM INTERNSHIP (ONLINE)

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

ROLE OF FINANCE IN INSURANCE

• Department: Auditing
• Instructor: Robert Percopo
  Info
• 0 points

ROLE OF FINANCE IN INSURANCE

• Department: Insurance Management
• Instructor: Robert Percopo
  Info
• 3 points

PENSIONS

PENSIONS

• Department: Actuarial Science
• TR 7:40 p.m.-8:55 p.m.
• 3 points