PEOPLE ANALYTICS & DECISION MAKING
PEOPLE ANALYTICS & DECSN MKNG
- Department: Human Capital Management
- R 8:10 p.m.-10 p.m.
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Instructor:
Adam Brinegar
Info - 3 points
COMMUNICATIONS & MRKTNG FOR NONPROFITS
COMM & MRKTG FOR NONPRFTS
- Department: School of Professional Studies
- M 4:10 p.m.-6 p.m.
- M 6:10 p.m.-8 p.m.
- S 9 a.m.-10:30 a.m.
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Instructor:
Dana A Elmquist
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Instructor:
Hayley Berlent
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Instructor:
Marcia Stepanek
Info - 3 points
INTERNET OF THINGS (IOT)
- Department: Applied Analytics
- M 6:10 p.m.-8 p.m.
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Instructor:
Sudip Chakraborty
Info - 3 points
ETHICS IN THE NONPROFIT SECTOR
- Department: School of Professional Studies
- S noon-4 p.m.
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Instructor:
Herman Taylor
Info - 3 points
LEGAL LANDSCAPE OF NONPROFIT LAW
LEGAL LNDSCP NONPRFT LAW
- Department: School of Professional Studies
- T 4:10 p.m.-6 p.m.
- 3 points
APPLIED ANALYTICS FRAMEWORKS & METHODS I
APP AN FRAMEWORKS & METHODS I
- Department: Applied Analytics
- M 6:10 p.m.-8 p.m.
- R 8:30 p.m.-10 p.m.
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Instructor:
Guilherme de Oliveira
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Instructor:
Grant Case
Info - 3 points
Managerial Economics
Managerial Economics Continued
- Department: Business Economics
- 0.7 points
Managerial Economics
Managerial Economics Continued
- Department: Business Economics
- 0.7 points
Managerial Economics
Managerial Economics Continued
- Department: Business Economics
- 0.7 points
Managerial Economics
Managerial Economics Continued
- Department: Business Economics
- 0.7 points
TRADITIONAL RISK & ERM PRACTICES
TRAD RISK & ERM PRACTICES
- Department: Enterprise Risk Management
- W 6:10 p.m.-8 p.m.
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Instructor:
James Bone
Info - 3 points
TRADITIONAL RISK & ERM PRACTICES
TRAD RISK & ERM PRACTICES (OL)
- Department: Enterprise Risk Management
- M 6:10 p.m.-8 p.m.
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Instructor:
Chris Magno
Info - 3 points
LEADERSHIP
LDRSHP IN THE CHARITABLE SECT
- Department: School of Professional Studies
- T 2:10 p.m.-4 p.m.
- T 6:10 p.m.-8 p.m.
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Instructor:
Gloria P Johnson-Cusack
Info - 3 points
Global Economic Environment
- Department: Business Economics
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Instructor:
Jessica Soursourian
Info - 3 points
Global Economic Environment
- Department: Business Economics
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Instructor:
Jessica Soursourian
Info - 3 points
APPLIED ANALYTICS FRAMEWORKS & METHDS II
APP AN FRAMEWORKS & METHODS II
- Department: Applied Analytics
- M 6:10 p.m.-8 p.m.
- T 6:10 p.m.-8 p.m.
- W 8:10 p.m.-10 p.m.
- F 10:10 a.m.-noon
- F 12:10 p.m.-2 p.m.
- S 12:10 p.m.-2 p.m.
- R 8:30 p.m.-10 p.m.
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Instructor:
Francois Scharffe
h-index: 24 Info -
Instructor:
Kitty K Chan
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Instructor:
Matteo Rinaldi
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Instructor:
Vishal Lala
Info - 3 points
NARRATIVE ETHICS
- Department: Narrative Medicine
- M 12:10 p.m.-2 p.m.
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Instructor:
Danielle R Spencer
h-index: 5 Info - 4 points
LINEAR REGRESSION MODELS
Prerequisites: STAT GR5203 and GR5204 or the equivalent.
Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
STAT COMP & INTRO DATA SCIENCE
INTRODUCTION TO DATA SCIENCE
Corequisites: STAT GR5204 and GR5205 or the equivalent.
Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.
- Department: Statistics
- F 10:10 a.m.-12:40 p.m.
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Instructor:
Gabriel Young
CULPA: 7 Info - 3 points
PYTHON FOR DATA ANALYSIS
- Department: Applied Analytics
- S 10:10 a.m.-noon
- R 8:30 p.m.-10 p.m.
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Instructor:
Helga Hartelt Baez
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Instructor:
Max Vilenchik
Info - 3 points
DISASTER PHILANTHROPY
- Department: School of Professional Studies
- W 4:10 p.m.-6 p.m.
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Instructor:
Gregory Witkowski
Info - 3 points
MACROECONOMICS ANALYSIS II
- Department: Economics
- MW 11:40 a.m.-12:55 p.m.
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Instructor:
Irasema Alonso
CULPA: 12 Info - 3 points
ENVIRNMNT CONFL/RES STRATEGIES
The natural environment provides a wide range of goods and services on which humans depend for survival, identity, livelihoods, and physical and emotional health. Because we are tied so directly and completely to the environment, both environmental conflicts and conflicts involving environmental drivers can be extremely complex and difficult to resolve. Moreover, the implementation of negotiated settlements can have unintended environmental and social impacts. Thus the metrics of success for conflict resolution must sometimes be expanded to include elements of environmental sustainability or reduction of natural hazards. Students participating in this course will gain: 1) grounding in social-ecological and environmental conflict resolution theory; 2) analytical frameworks for environmental conflict assessment; 3) exposure to a range of traditional ADR and innovative resource management techniques for pursuing environmental conflict resolution; and 4) knowledge and skills to evaluate the effectiveness of conflict intervention strategies.
- Department: International and Public Affairs
- T 6:10 p.m.-8 p.m.
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Instructor:
Joshua Fisher
h-index: 8 Info - 3 points
DIRECTING II
- Department: Film
- W 2 p.m.-5 p.m.
- R 2 p.m.-5 p.m.
- R 10 a.m.-1 p.m.
- W 6 p.m.-9 p.m.
- R 2 p.m.-5 p.m.
- T 6 p.m.-9 p.m.
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Instructor:
Bette Gordon
Wikipedia Info - 3 points
NARRATIVE,HEALTH & SOC JUSTICE
- Department: Narrative Medicine
- R 12:10 p.m.-2 p.m.
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Instructor:
Sayantani T Dasgupta
CULPA: 2 Info - 4 points
DELIVERING THE STRAT MESSAGE
- Department: Business
- R 6:10 p.m.-8 p.m.
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Instructor:
Ashley M Patterson
Info - 3 points
INNOVATIONS IN PHILANTHROPY
INNOV IN PHILANTHROPY
- Department: School of Professional Studies
- W 6:10 p.m.-8 p.m.
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Instructor:
Richard T Feiner
Info - 3 points
DIRECTING ACTORS II
- Department: Film
- T 2 p.m.-5 p.m.
- R 10 a.m.-1 p.m.
- R 2 p.m.-5 p.m.
- T 2 p.m.-5 p.m.
- W 6 p.m.-9 p.m.
- W 2 p.m.-5 p.m.
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Instructor:
Shira-Lee Shalit
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Instructor:
Jodie Markell
Wikipedia Info -
Instructor:
Lisa Milinazzo
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Instructor:
Jose Santana
Wikipedia Info -
Instructor:
Adrienne Weiss
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Instructor:
Mikael Sodersten
Info - 3 points
STATISTICAL MACHINE LEARNING
Prerequisites: STAT GR5206 or the equivalent.
The course will provide an introduction to Machine Learning and its core models and algorithms. The aim of the course is to provide students of statistics with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems - not only to analyze large data sets, but to let computers perform tasks that traditional methods of computer science are unable to address. Examples range from speech recognition and text analysis through bioinformatics and medical diagnosis. This course provides a first introduction to the statistical methods and mathematical concepts which make such technologies possible.
STATISTICAL MACHINE LEARNING
Prerequisites: STAT GR5206 or the equivalent.
The course will provide an introduction to Machine Learning and its core models and algorithms. The aim of the course is to provide students of statistics with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems - not only to analyze large data sets, but to let computers perform tasks that traditional methods of computer science are unable to address. Examples range from speech recognition and text analysis through bioinformatics and medical diagnosis. This course provides a first introduction to the statistical methods and mathematical concepts which make such technologies possible.
APPLIED DATA SCIENCE
Applied Data Science
Prerequisites: Pre-requisite for this course includes working knowledge in Statistics and Probability, data mining, statistical modeling and machine learning. Prior programming experience in R or Python is required.
This course will incorporate knowledge and skills covered in a statistical curriculum with topics and projects in data science. Programming will covered using existing tools in R. Computing best practices will be taught using test-driven development, version control, and collaboration. Students finish the class with a portfolio of projects, and deeper understanding of several core statistical/machine-learning algorithms. Short project cycles throughout the semester provide students extensive hands-on experience with various data-driven applications.
- Department: Statistics
- R 1:10 p.m.-3:40 p.m.
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Instructor:
David Shilane
Info - 3 points
EXTERNAL STAKEHOLDER REQUIREMENTS
- Department: Enterprise Risk Management
- T 8:10 p.m.-10 p.m.
- M 6:10 p.m.-8 p.m.
- W 8:10 p.m.-10 p.m.
- T 8:10 p.m.-10 p.m.
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Instructor:
R S Forston
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Instructor:
Guoqiang Li
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Instructor:
Chris Jackson
Info -
Instructor:
Joshua Timari
Info - 3 points
EXTERNAL STAKEHOLDER REQUIREMENTS
EXT STAKEHOLDER REQ (ONLINE)
- Department: Enterprise Risk Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Daniel D Walker
Info - 3 points
DATA ANALYTICS/METRICS IN NONPROF SECTOR
DATA ANL/MTRC IN NONPROF
- Department: School of Professional Studies
- T 6:10 p.m.-8 p.m.
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Instructor:
Erwin de Leon
Info - 3 points
PROG FOR QUANT & COMP FINANCE
This course covers programming with applications to finance. The applications may include such topics as yield curve building and calibration, short rate models, Libor market models, Monte Carlo simulation, valuation of financial instruments such as options, swaptions and variance swaps, and risk measurement and management, among others. Students will learn about the underlying theory, learn coding techniques, and get hands-on experience in implementing financial models and systems.
STOCHASTIC METHODS IN FINANCE
Prerequisites: STAT GR5264
Available to SSP, SMP. Mathematical theory and probabilistic tools for modeling and analyzing security markets are developed. Pricing options in complete and incomplete markets, equivalent martingale measures, utility maximization, term structure of interest rates.
- Department: Statistics
- MW 4:10 p.m.-5:25 p.m.
- TR 6:10 p.m.-7:25 p.m.
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Instructor:
Ruimeng Hu
Info -
Instructor:
Pawel Polak
Info - 3 points
COMMUNICATION RESEARCH & INSIGHTS
COMM RESEARCH & INSIGHTS
- Department: Strategic Communication
- W 2:10 p.m.-4 p.m.
- R 2:10 p.m.-4 p.m.
- W 6:10 p.m.-8 p.m.
- None None-None
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Instructor:
Alexandra M Merceron
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Instructor:
Arabella Pollack
Info -
Instructor:
Alexandra M Merceron
Info -
Instructor:
Mark Truss
Info - 3 points
ROLE & UNIQUE NATURE OF NONPROFIT SECTOR
ROLE & UNIQUE NTR OF NONPROFIT
- Department: School of Professional Studies
- T 6:10 p.m.-8 p.m.
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Instructor:
Gregory Witkowski
Info - 3 points
RESEARCH DESIGN
- Department: Applied Analytics
- R 6:10 p.m.-8 p.m.
- M 6:10 p.m.-8 p.m.
- W 8:30 p.m.-10 p.m.
- T 8:30 p.m.-10 p.m.
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Instructor:
Victoria Gamerman
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Instructor:
Zachary Kornhauser
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Instructor:
Diahanna L Post
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Instructor:
Natasa Rajicic
Info - 3 points
STRATEGIC COMM FOR RISK PROFESSIONALS
STRAT COMM FOR RISK PROF
- Department: Enterprise Risk Management
- W 6:10 p.m.-8 p.m.
- R 6:10 p.m.-8 p.m.
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Instructor:
Julianne M Kasinow
Info -
Instructor:
Violet Diamant
Info - 3 points
STRATEGIC COMM FOR RISK PROFESSIONALS
STRAT COMM FOR RISK PROF (ONL)
- Department: Enterprise Risk Management
- R 8:10 p.m.-10 p.m.
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Instructor:
David A. Bartholomew
Info - 3 points
QUALITATIVE METHODS & RESEARCH
- Department: Narrative Medicine
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Instructor:
Carlos Decena
Info - 4 points
LEADING BUSINESS ANALYTICS FOR THE ENTER
BUSINESS ANALYTICS MANAGEMENT
- Department: Information & Knowledge Strat
- W 8 p.m.-9:30 p.m.
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Instructor:
Jeanne G Harris
Wikipedia h-index: 27 Info - 3 points
ROLE OF THE PRODUCER
- Department: Film
- M 6 p.m.-9 p.m.
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Instructor:
Jack Lechner
Info - 1.5 points
NETWORKS & COLLABORATION
- Department: Information & Knowledge Strat
- R 8 p.m.-10 p.m.
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Instructor:
Katrina Pugh
h-index: 4 Info - 3 points
LAW FOR KNOWLDGE INNOVATIONS & PRACTICES
LAW FOR KNOWLDGE INNOV & PRACT
- Department: Information & Knowledge Strat
- T 7:30 p.m.-9 p.m.
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Instructor:
Anne Kershaw
Info - 3 points
SQL & RELATIONAL DATABASES
SQL & RELATIONAL DB
- Department: Applied Analytics
- M 8:10 p.m.-10 p.m.
- T 8:30 p.m.-10 p.m.
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Instructor:
Nikolaos Machairas
Info - 3 points
EMPIRICAL METHODS IN BIOETHICS
- Department: Bioethics
- W 2:10 p.m.-4 p.m.
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Instructor:
Kim J Hopper
Info - 3 points
EMPIRICAL METHODS IN BIOETHICS
- Department: Bioethics
- W 2:10 p.m.-4 p.m.
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Instructor:
Kim J Hopper
Info - 0 points
ETHICAL DECISION MAKING FOR COMMUNICATRS
ETHICAL DEC MKNG FOR COMM
- Department: Strategic Communication
- W 6:10 p.m.-8 p.m.
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Instructor:
Frank J Oswald
Info - 3 points
PHILOSOPHY OF BIOETHICS
PHIL OF BIOETHICS (ONLINE)
- Department: Bioethics
- W 7:45 p.m.-9:45 p.m.
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Instructor:
Jennifer M Gumer
Info - 3 points
PHILOSOPHY OF BIOETHICS
PHIL OF BIOETHICS (ONLINE)
- Department: Bioethics
- W 7:45 p.m.-9:45 p.m.
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Instructor:
Jennifer M Gumer
Info - 0 points
ART & SCIENCE OF CHOOSING CHANNELS
ART & SCI OF CHOOSING CHANNELS
- Department: Strategic Communication
- R 6:10 p.m.-8 p.m.
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Instructor:
Matthew Danelo
Info - 3 points
STRATEGIC RISK MANAGEMENT
STRATEGIC RISK MGMT
- Department: Enterprise Risk Management
- R 8:10 p.m.-10 p.m.
- W 8:10 p.m.-10 p.m.
- 3 points
STRATEGIC RISK MANAGEMENT
STRATEGIC RISK MGMT (ONLINE)
- Department: Enterprise Risk Management
- T 6:10 p.m.-8 p.m.
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Instructor:
Cecil R House
Info - 3 points
NONPROFIT FINANCIAL MGMT
- Department: School of Professional Studies
- W 6:10 p.m.-8 p.m.
- 3 points
LAW & BIOETHICS
- Department: Bioethics
- M 12:10 p.m.-2 p.m.
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Instructor:
David N Hoffman
h-index: 2 Info - 3 points
LAW & BIOETHICS
- Department: Bioethics
- M 12:10 p.m.-2 p.m.
-
Instructor:
David N Hoffman
h-index: 2 Info - 0 points