OPERATIONAL RISK MANAGEMENT

OPERATIONAL RISK MGMT (ONLINE)

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

FIXED INCOME PORTFOLIO MGMT

Prerequisites: comfortable with algebra, calculus, probability, statistics, and stochastic calculus.
The course covers the fundamentals of fixed income portfolio management. Its goal is to help the students develop concepts and tools for valuation and hedging of fixed income securities within a fixed set of parameters. There will be an emphasis on understanding how an investment professional manages a portfolio given a budget and a set of limits.

• Department: Mathematics
• F 6:10 p.m.-8 p.m.
• Instructor: Rosanna Pezzo
  Info
• 3 points

INTRO TO QUANTITATIVE RISK MANAGEMENT

INTRO TO QUANT RISK MGMT

• Department: Enterprise Risk Management
• W 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• R 6:10 p.m.-8 p.m.
• R 8:10 p.m.-10 p.m.
• Instructor: David J Romoff
  Info
• Instructor: Patricio Contreras
  Info
• 3 points

INTRO TO QUANTITATIVE RISK MANAGEMENT

INTRO TO QRM (ONLINE)

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

CAPSTONE PROJECT SEMINAR

• Department: Information & Knowledge Strat
• R 8 p.m.-10 p.m.
• Instructor: Mary Abraham
  Info
• 6 points

FINANCIAL RISK MANAGEMENT

FINANCIAL RISK MGMT

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

FINANCIAL RISK MANAGEMENT

FINANCIAL RISK MGMT (ONLINE)

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• Instructor: Michael Leibrock
  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

PASTORAL CARE & ETHICS

• Department: Bioethics
• M 5:10 p.m.-7 p.m.
• Instructor: Linda S Golding
  Info
• 3 points

FINANCIAL RISK MANAGEMENT PRACTICES

FRM PRACTICES

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

INSURANCE RISK MANAGEMENT

INSURANCE RISK MGMT

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

MANAGING DATA

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

MANAGING DATA

MANAGING DATA (ONLINE)

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

MANAGING DATA

• Department: Applied Analytics
• R 8:30 p.m.-10 p.m.
• Instructor: Amreeta Choudhury
  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

INTRO TO CLINICAL ETHICS

INTRO CLINICAL ETHICS ONLINE

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

DYNAMICS CLIMATE VAR & CHNG

DYNAMICS CLIM VAR & CHNG

• Department: Earth and Environmental Sciences
• TR 2:40 p.m.-3:55 p.m.
• 3 points

PRACTICAL PRODUCTION I

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

MODELS-CLIM NAT/HUM SYSTEMS

Required course for students in the Climate and Society MA program.
Pre-requisites: undergraduate-level coursework in introductory statistics or data analysis; knowledge of calculus
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

• Department: Earth and Environmental Sciences
• M 4:10 p.m.-7 p.m.
• 4 points

MANAGING & ADAPTING TO CLIMATE

MANAGING & ADAPTING CLIM

Prerequisites: EESC W4400; previous social science course or experience in policy and administration.
This integrating seminar on science and policy-making deals with climate and environment-development issues, and helps investigate ideas and methods for analyzing problems to reduce societal vulnerability and build resilience to climate variability and climate change. In order to integrate learning, the course is structured around modules that bridge several "divides": the social and natural sciences, temporal scales of variability and change impacting various sectors, the developing and industrialized regions, across local, national and international spatial levels, as well as socio-political, economic and ecological dimensions of development. The lectures and discussions move back and forth between theory and practice, required for the effective management of risks from a changing climate. The seminar modules will be led by outstanding researchers and professionals, with deep experience in the praxis of climate risk management and will include the economics & politics of sustainable development and climate risks; climate phenomena, societal responses and impacts; poverty, agriculture and food security; managing climate risks for health; managing competing claims over water; urban disaster risk management; climate risks & decision-making under uncertainty; media and climate. Practicum sessions, in addition, are designed to help integrate learning.

• Department: Earth and Environmental Sciences
• MW 1:10 p.m.-2:25 p.m.
• Instructor: Ben Orlove
  h-index: 48 Info
• 3 points

HUMAN RIGHTS OF WOMEN

This course introduces students to a range of obstacles that have arisen - and continue to arise - in the struggle to make sure that women are treated as full and legitimate bearers of human rights as well as some of the significant critiques that have emerged from this struggle. The course provides a historical overview of conflicts over women's roles in family, the economy and the body politic and addresses gains women have made as well as challenges they face in relation to economic development, military conflict, domestic inequality, health, and religious and cultural beliefs. Materials provide a range of comparative views of advances and obstacles to women's rights in Latin America, Asia, Africa, Europe and the U.S. Students will also learn about significant instruments, strategies, and movements intended to remedy the inequalities that affect women.

• Department: Institute for Study of Human Rights
• W 4:10 p.m.-6 p.m.
• Instructor: Sheila A Dauer
  Info
• 3 points

MATH METHODS FOR ECONOMISTS

• Department: Economics
• MW 4:10 p.m.-5:25 p.m.
• 3 points

ECONOMETRICS I

• Department: Economics
• TR 1:10 p.m.-2:25 p.m.
• Instructor: Seyhan Erden
  CULPA: 7 Info
• 3 points

ADVANCED ECONOMETRICS

• Department: Economics
• 3 points

ANOMALY DETECTION

• Department: Applied Analytics
• M 6:10 p.m.-8 p.m.
• 3 points

TECH ARTS:POST PRODUCTION

• Department: Film
• T 2 p.m.-5 p.m.
• R 10 a.m.-1 p.m.
• M 10 a.m.-1 p.m.
• Instructor: Michael J Cacioppo Belantara
  Info
• 1.5 points

MODEL & TRADE DERIVATIVESMATH

MODELING AND TRADING DERIVATIV

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

TECH ARTS

TECH ARTS:CAMERAS&LENSES;

• Department: Film
• M 6 p.m.-9 p.m.
• Instructor: Adam Marchand
  Info
• 1.5 points

TECH ARTS

TECH ARTS:GRIP&ELECTRIC;

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

TECH ARTS

TECH ARTS:CINEMA&AUDIO;

• Department: Film
• R 6 p.m.-9 p.m.
• Instructor: Adam Marchand
  Info
• 1.5 points

ORGANIZATIONAL ETHICS AND COMPLIANCE

ORGANIZATIONAL ETHICS & C

• Department: Bioethics
• R 8:10 p.m.-10 p.m.
• None None-None
• Instructor: David N Hoffman
  h-index: 2 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
• 2 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

RESEARCH ETHICS

RESEARCH ETHICS (ONLINE)

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

RESEARCH ETHICS

• Department: Bioethics
• Instructor: Robert L Klitzman
  Wikipedia Info
• 3 points

HEALTH POLICY & BIOETHICS

• Department: Bioethics
• M 12:10 p.m.-2 p.m.
• Instructor: Jonathan Engel
  Info
• 3 points

INTRO TO BLOCKCHAIN, CRYPTO$ & ANALYTICS

BLOCKCHAIN,CRYPTOCURRENCY &ANL;

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

RELIGION & BIOETHICS

• Department: Bioethics
• F 10:30 a.m.-noon
• None None-None
• Instructor: Jennifer P Cohen
  Info
• Instructor: Sameer H Ladha
  Info
• 3 points

SPECIAL PROJECTS WORKSHOP

• Department: Writing
• W 9:30 a.m.-12:30 p.m.
• Instructor: Jennifer George
  Info
• 6 points

COMPANY FAILURES

• Department: Enterprise Risk Management
• R 8:10 p.m.-10 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: H.S. Bob Kostakopoulos
  Info
• Instructor: Joseph L Sevely
  Info
• 3 points

MAFN FIELDWORK

Prerequisites: all 6 MAFN core courses, at least 6 credits of approved electives, and the instructor's 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

ERM MODELING

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

ERM MODELING

ERM MODELING (ONLINE)

• Department: Enterprise Risk Management
• W 6:10 p.m.-8 p.m.
• Instructor: Tom Passante
  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. Oral history can be a powerful means of documenting human rights abuses and conflict “from the bottom up,” contributing to individual and collective healing, and facilitating processes of conflict transformation and reconciliation. With its commitment to long-form, biographical interviewing and archival preservation, oral history is distinctive from, for example, the collection of testimony in a court of law or through a truth and reconciliation process. Conflict, violence, and human rights abuses are situated within the broader context of a life, a historical trajectory, a cultural setting. Oral history opens the space for voices and narratives that have been marginalized to challenge official narratives and complicate narrow accounts of conflict. Yet oral history also presents serious challenges in achieving these ideals—navigating sticky ethics in contexts that are heavily politicized; contending with the complex relationship between trauma, narrative, and memory; and confronting tensions between differing individual and collective needs for healing, restorative justice, and reconciliation. This course will explore these questions and related topics on the use of oral history in the context of human rights and conflict.

• Department: Oral History
• T 2:10 p.m.-4:30 p.m.
• Instructor: Zoe Westhof
  Info
• 4 points

SYSTEMIC RISK

• Department: Enterprise Risk Management
• M 6:10 p.m.-8 p.m.
• Instructor: H.S. Bob Kostakopoulos
  Info
• 3 points

INFORMATION TECHNOLOGY RISK MANAGEMENT

IT RISK MGMT

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

FINANCIAL MARKETS AND INSTITUTIONS

FINANCIAL MRKTS & INSTITUTIONS

• Department: Actuarial Science
• F 6:10 p.m.-8:55 p.m.
• Instructor: Lina Xu
  Info
• 3 points

COGNITIVE BIAS & ERM

• Department: Enterprise Risk Management
• T 6:10 p.m.-8 p.m.
• W 6:10 p.m.-8 p.m.
• Instructor: John S Burkhardt
  Info
• 3 points

STRATEGY AND ANALYTICS

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

CAPSTONE

• Department: Strategic Communication
• R 6:10 p.m.-9 p.m.
• Instructor: Thomas J Groppe
  Info
• Instructor: Richard J Cunningham
  Info
• Instructor: Mark Truss
  Info
• 3 points

ERM INTERNSHIP

ERM INTERNSHIP (ONLINE)

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

INVESTMENT & ALM FOR ACTUARIES

• Department: Actuarial Science
• M 6:10 p.m.-8 p.m.
• 3 points

ANALYTICS & LEADING CHANGE

• Department: Applied Analytics
• S 10:10 a.m.-noon
• M 6:10 p.m.-8 p.m.
• T 6:10 p.m.-8 p.m.
• F 10:10 a.m.-noon
• M 8:10 p.m.-10 p.m.
• Instructor: Paul J Bailo
  Info
• 3 points

CINEMA/MEDIA HISTORIOGRAPHY

An introduction to issues and cases in the study of cinema century technologies. This class takes up the definition of the historiographic problem and the differences between theoretical and empirical solutions. Specific units on the history of film style, genre as opposed to authorship, silent and sound cinemas, the American avant-garde, national cinemas (Russia and China), the political economy of world cinema, and archival poetics. A unit on research methods is taught in conjunction with Butler Library staff. Writing exercises on a weekly basis culminate in a digital historiography research "map" which becomes the basis of a final paper

• Department: Film
• M 10 a.m.-1:45 p.m.
• Instructor: Jane Gaines
  CULPA: 4 Info
• 3 points

INDEPENDENT STUDY

• Department: Writing
• Instructor: Samuel Lipsyte
  CULPA: 5 Info
• 0.5-6 points

PROBABILITY & STAT FOR DATA SC

Statistical Inference & Modeli

Prerequisites: Calculus
This course covers the following topics: Fundamentals of probability theory and statistical inference used in data science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference; point and confidence interval estimation, hypothesis tests, linear regression.

• Department: Statistics
• TR 5:40 p.m.-6:55 p.m.
• Instructor: Vincent J Dorie
  Info
• 3 points

EXPLORATORY DATA ANALYSIS/VISUAL

Prerequisites: programming.
This course is covers the following topics: fundamentals of data visualization, layered grammer of graphics, perception of discrete and continuous variables, intreoduction to Mondran, mosaic pots, parallel coordinate plots, introduction to ggobi, linked pots, brushing, dynamic graphics, model visualization, clustering and classification.

• Department: Statistics
• MW 5:40 p.m.-6:55 p.m.
• Instructor: Joyce T Robbins
  CULPA: 5 Info
• 3 points

STORYTELLING WITH DATA

STORYTELLING WITH DATA (ONLINE

• Department: Applied Analytics
• M 6:10 p.m.-8 p.m.
• M 8:10 p.m.-10 p.m.
• T 6:10 p.m.-8 p.m.
• T 8:10 p.m.-10 p.m.
• 3 points

STORYTELLING WITH DATA

• Department: Applied Analytics
• W 6:10 p.m.-8 p.m.
• R 6:10 p.m.-8 p.m.
• F 10:10 a.m.-noon
• F 2:10 p.m.-4 p.m.
• Instructor: Paula Darling
  Info
• Instructor: Francois Scharffe
  h-index: 24 Info
• 3 points

STORYTELLING WITH DATA

STORYTELLING WITH DATA (ONLINE

• Department: Applied Analytics
• W 6:10 p.m.-8 p.m.
• Instructor: Hany S Saleeb
  Info
• 3 points

INTERNSHIP

• Department: Writing
• Instructor: Samuel Lipsyte
  CULPA: 5 Info
• 1-3 points

ACTUARIAL METHODS I

• Department: Actuarial Science
• TR 1:10 p.m.-2:25 p.m.
• 3 points

ACTUARIAL METHODS II

• Department: Actuarial Science
• MW 11:40 a.m.-12:55 p.m.
• 3 points

ACTUARIAL MODELS

• Department: Actuarial Science
• MW 1:10 p.m.-2:25 p.m.
• 3 points

ACTUARIAL MODELS II

• Department: Actuarial Science
• MW 10:10 a.m.-11:25 a.m.
• 3 points

MODELS FOR FINANCE & ECONOMICS

• Department: Actuarial Science
• TR 11:40 a.m.-12:55 p.m.
• 3 points

PREDICTIVE MODELING IN FINANCE & INSURAN

PREDICT MODLNG IN FIN & INSRNC

• Department: Actuarial Science
• W 2:40 p.m.-5:25 p.m.
• Instructor: Lina Xu
  Info
• 3 points

DATA SCIENCE IN FINANCE AND INSURANCE

DATA SCIENCE IN FIN & INSURANC

• Department: Actuarial Science
• TR 2:40 p.m.-3:55 p.m.
• 3 points

GLOBAL CAPITAL MARKET & INVESTMENT

GLOBAL CAPITAL MRKT & INVSTMNT

• Department: Actuarial Science
• F 1:10 p.m.-3:55 p.m.
• 3 points

QUANTITATIVE RISK MANAGEMENT

QUANTITATIVE RISK MGMT

• Department: Actuarial Science
• F 10:10 a.m.-12:55 p.m.
• 3 points

RISK MANAGEMENT IN P&C; INSURANCE

RISK MGMT IN P&C; INSURANCE

• Department: Actuarial Science
• M 6:10 p.m.-8:55 p.m.
• 3 points

ORAL COMMUNICATIONS FOR ACTUARIAL PROFES

ORAL COMM FOR ACTUARIES

• Department: Actuarial Science
• F 11 a.m.-1:30 p.m.
• M 3:10 p.m.-5:55 p.m.
• 3 points

ORAL COMMUNICATIONS: BUSINESS

ORAL COMM: BUSINESS

• Department: School of Professional Studies
• MW 10:10 a.m.-noon
• Instructor: Sandy L Singer
  Info
• 3 points