ADVANCED TOPICS IN IEOR
Algorithmic GameTheory OR
Selected topics in IEOR. Content varies from year to year. May be repeated for credit.
- Department: Industrial Engineering and Operations Research
- MW 10:10 a.m.-11:25 a.m.
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Instructor:
Christian Kroer
h-index: 16 Info - 3 points
ADVANCED TOPICS IN IEOR
Foundations of Data Privacy
Selected topics in IEOR. Content varies from year to year. May be repeated for credit.
- Department: Industrial Engineering and Operations Research
- T 2:40 p.m.-5:10 p.m.
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Instructor:
Rachel Cummings
h-index: 16 Info - 3 points
ADVANCED TOPICS IN IEOR
Queues & Stoch Netwks
Selected topics in IEOR. Content varies from year to year. May be repeated for credit.
- Department: Industrial Engineering and Operations Research
- W 2:40 p.m.-5:10 p.m.
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Instructor:
David D Yao
CULPA: 5
Info
- 3 points
ADVANCED TOPICS IN IEOR
Agentic AI & Data Economy
Selected topics in IEOR. Content varies from year to year. May be repeated for credit.
- Department: Video Network
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Instructor:
Agostino Capponi
h-index: 19 Info - 3 points
ADVANCED APPLICATION OF THEORY TO PRACT
- Department: Rehabilitation Medicine (RMED)
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Instructor:
Scott G Rushanan
Info - 3 points
Gross Anatomy
This intensive 15-week course during the first term of the DPT curriculum provides students with detailed coverage of human anatomy through lecture and cadaver dissection. The focus of the course is on structure and the integral relationship between structure and function. A comprehensive understanding of normal structure and function provides the foundation for understanding abnormal structure and function. Both the lecture and laboratory components of the course are critical to success in the program and as a competent entry-level clinician.
This course uses a regional approach to study the gross anatomical structures of the human body, with emphasis on the musculoskeletal system and its associated vascular and neural elements. The structure of synovial joints and their soft tissue support systems will be addressed. The thoracic, abdominal, and pelvic cavities will be explored. Aspects of structure and function as they relate to clinical correlates will be highlighted throughout the course.
- Department: Physical Therapy
- 7 points
VISUAL ART LAB
- Department: Visual Arts
- F 1 p.m.-4 p.m.
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Instructor:
Rirkrit Tiravanija
Wikipedia Info - 3 points
Patient Oriented Research Career Develop
POR CAREER DEVELOPMENT CO
The main objective of this course is to provide Columbia University's Clinical & Translational Science award trainees, students, and scholars with skills and knowledge that will optimize their chances of entering into a satisfying academic career. The course will emphasize several methodological and practical issues related to the development of a science career. The course will also offer support and incentives by facilitating timely use of CTSA resources, obtaining expert reviews on writing and curriculum vitae, and providing knowledge and resources for the successful achievement of career goals.
- Department: Biostatistics
- T 3 p.m.-3:50 p.m.
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Instructor:
Marisa N Spann
Info - 0.5 points
Business Analytics II: Foundations of AI
Business Analytics II: AI
Business analytics refers to the ways in which enterprises such as businesses, non-profits, and governments use data to gain insights and make better decisions. Business analytics is applied in operations, marketing, finance, and strategic planning among other functions. Modern data collection methods – arising in bioinformatics, mobile platforms, and previously unanalyzable data like text and images – are leading an explosive growth in the volume of data available for decision making. The ability to use data effectively to drive rapid, precise, and profitable decisions has been a critical strategic advantage for companies as diverse as Walmart, Google, Capital One, and Disney. Many startups are based on the application of AI & analytics to large databases. With the increasing availability of broad and deep sources of information – so-called “Big Data” – business analytics are becoming an even more critical capability for enterprises of all types and all sizes. AI is beginning to impact every dimension of business and society. In many industries, you will need to be literate in AI to be a successful business leader. The Business Analytics sequence is designed to prepare you to play an active role in shaping the future of AI and business. You will develop a critical understanding of modern analytics methodology, studying its foundations, potential applications, and – perhaps most importantly – limitations.
- Department: Decision, Risk and Operations
- W 2:20 p.m.-5:35 p.m.
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Instructor:
Charles R Guetta
Info - 1.5 points
NEUROSCIENCE AND COGNITION
- Department: Rehabilitation Medicine (RMED)
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Instructor:
Katherine Dimitropoulou
Info - 3 points
Probability
PROBABILITY
The course aims to present the fundamental principles behind probability theory and lay the foundations for various kinds of statistical/biostatistical courses such as statistical inference, multivariate analysis, regression analysis, clinical trials, asymptotics, and so on. Students will learn how to implement probability methods in various types of applications.
SEM-HIST MUSICOLOGY:MUSIC,MIND
SEM-HIST MUSICOLOGY:RENAISSANC
- Department: Music
- M 4:10 p.m.-6 p.m.
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Instructor:
Giuseppe Gerbino
CULPA: 12
Info
- 3 points
Data Science I
Contemporary biostatistics and data analysis depends on the mastery of tools for computation, visualization, dissemination, and reproducibility in addition to proficiency in traditional statistical techniques. The goal of this course is to provide training in the elements of a complete pipeline for data analysis. It is targeted to MS, MPH, and PhD students with some data analysis experience.
- Department: Biostatistics
- TR 10 a.m.-11:20 a.m.
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Instructor:
Arthur Jeff Goldsmith
Info - 3 points
Theory of Democracy Revisited
This colloquium will study democracy in its most representative contemporary interpretations and its challenges in comparative theoretical perspective. Starting with democracy’s procedures and institutions (the “rules of the game”) the colloquium will examine their main interpretations and most recent variations; it will end with a discussion of plebiscitary leadership, populism and lottocracy. The aim of the colloquium is to give students of political theory and political science some basic theoretical tools for analyzing, understanding and evaluating contemporary mutations in democratic visions and practices in several western countries.
- Department: Political Science
- T 6:10 p.m.-8 p.m.
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Instructor:
Nadia Urbinati
CULPA: 29 Wikipedia Info - 4 points
Introduction to Mathematical Statistics
Intro Mathematical Statis
The first portion of this course provides an introductory-level mathematical treatment of the fundamental principles of probability theory, providing the foundations for statistical inference. Students will learn how to apply these principles to solve a range of applications. The second portion of this course provides a mathematical treatment of (a) point estimation, including evaluation of estimators and methods of estimation; (b) interval estimation; and (c) hypothesis testing, including power calculations and likelihood ratio testing.
- Department: Biostatistics
- W 10 a.m.-11:20 a.m.
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Instructor:
Todd Ogden
Info - 3 points
Service Operations Management
This course examines both traditional and new approaches for achieving operational competitiveness in service businesses. Major service sectors such as health care, repair / technical support services, banking and financial services, transportation, restaurants, hotels and resorts are examined. The course addresses strategic analysis and operational decision making, with emphasis on the latter. Its content also reflects results of a joint research project with the consulting firm Booz Allen Hamilton, which was initiated in 1996 to investigate next-generation service operations strategy and practices. Topics include the service concept and operations strategy, the design of effective service delivery systems, productivity and quality management, response time (queueing) analysis, capacity planning, yield management and the impact of information technology. This seminar is intended for students interested in consulting, entrepreneurship, venture capital or general management careers that will involve significant analysis of a service firms operations.
- Department: Decision, Risk and Operations
- W 9 a.m.-12:15 p.m.
- W 2:20 p.m.-5:35 p.m.
- R 9 a.m.-12:15 p.m.
- R 2:20 p.m.-5:35 p.m.
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Instructor:
Medini Singh
Info - 3 points
Capstone One Portfolio
- Department: Rehabilitation Medicine (RMED)
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Instructor:
Amanda M Lange
Info - 3 points
Survival Analysis
SURVIVAL ANALYSIS
This course focuses on methods for the analysis of survival data, or time-to-event data. Survival analysis is a method for analyzing survival data or failure (death) time data, that is time-to-event data, which arises in a number of applied fields, such as medicine, biology, public health, epidemiology, engineering, economics, and demography. A special course of difficulty in the analysis of survival data is the possibility that some individual may not be observed for the full time to failure. Instead of knowing the failure time t, all we know about these individuals is that their time-to-failure exceeds some value y where y is the follow-up time of these individuals in the study. Students in this class will learn how to make inference for the event times with censored. Topics to be covered include survivor functions and hazard rates, parametric inference, life-table analysis, the Kaplan-Meier estimator, k-sample nonparametric test for the equality of survivor distributions, the proportional hazards regression model, analysis of competing risks and bivariate failure-time data.
SUPPLY CHAIN ANALYTICS
Supply chain management entails managing the flow of goods and information through a production or distribution network to ensure that the right goods are delivered to the right place in the right quantity at the right time. Two primary objectives are to gain competitive edge via superior customer service and to reduce costs through efficient procurement, production and delivery systems. Supply chain management encompasses a wide range of activities — from strategic activities, such as capacity expansion or consolidation, make/buy decisions and initiation of supplier contracts, to tactical activities, such as production, procurement and logistics planning, to, finally, operational activities, such as operations scheduling and release decisions, batch sizing and issuing of purchase orders.
Supply Chain Management
Supply chain management entails managing the flow of goods and information through a production or distribution network to ensure that the right goods are delivered to the right place in the right quantity at the right time. Two primary objectives are to gain competitive edge via superior customer service and to reduce costs through efficient procurement, production and delivery systems. Supply chain management encompasses a wide range of activities — from strategic activities, such as capacity expansion or consolidation, make/buy decisions and initiation of supplier contracts, to tactical activities, such as production, procurement and logistics planning, to, finally, operational activities, such as operations scheduling and release decisions, batch sizing and issuing of purchase orders.
- Department: Decision, Risk and Operations
- TR 9 a.m.-10:30 a.m.
- TR 2:20 p.m.-3:50 p.m.
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Instructor:
Will Ma
Info - 1.5 points
Applied Regression II
APPLIED REGRESSION II
This course will introduce the statistical methods for analyzing censored data, non-normally distributed response data, and repeated measurements data that are commonly encountered in medical and public health research. Topics include estimation and comparison of survival curves, regression models for survival data, logit models, log-linear models, and generalized estimating equations. Examples are drawn from the health sciences.
- Department: Biostatistics
- R 1 p.m.-3:50 p.m.
-
Instructor:
Qixuan Chen
h-index: 27 Info - 3 points
TV PILOT: COMEDY & DRAMA
With the pilot as a focal point, this course explores the opportunities and challenges of telling and sustaining a serialized story over a protracted period of time with an emphasis on the creation, borne out of character, of the quintessential premise and the ongoing conflict, be it thematic or literal, behind a successful series.
Early in the semester, students may be required to present/pitch their series idea. During the subsequent weeks, students will learn the process of pitching, outlining, and writing a television pilot, that may include story breaking, beat-sheets or story outline, full outlines, and the execution of either a thirty-minute or hour-long teleplay. This seminar may include reading pages and giving notes based on the instructor but may also solely focus on the individual process of the writer.
Students may only enroll in one TV Writing workshop per semester.
- Department: Film
- M 10 a.m.-1 p.m.
- R 2 p.m.-5 p.m.
- M 2 p.m.-5 p.m.
- W 9:30 a.m.-12:30 p.m.
- M 10 a.m.-1 p.m.
-
Instructor:
David Klass
Info -
Instructor:
Blair Singer
Info -
Instructor:
Carter Bays
Info -
Instructor:
Ed Decter
Info -
Instructor:
Alice O'Neill
Info - 3 points
SCENE STUDY
SCENE STUDY: DIRECTORS
- Department: Theatre Arts
- F 10 a.m.-12:50 p.m.
-
Instructor:
Saheem Ali
Info - 3 points
INTRO PARENT-INFANT PSYCHOTHERAPY
INTRO PARENT-INFANT THERA
- Department: Psychoanalytic Center
-
Instructor:
Madrid Poultney
Info - 0 points
Pharmacology for Anesthesia and Critical
PHARM FOR ANES & CRITICAL
This course provides an overview of anesthetics, adjuvants and critical care medications commonly used in anesthesia practice with an emphasis on the application of theoretical foundations as it applies to the patient. Cultural humility will be incorporated when developing medication management individualized to patient identities and cultures while including an emphasis on social and cultural health disparities. The course will also provide a systems approach to pathophysiology and the pharmacotherapeutic agents used to treat specific disease states with an emphasis on their impact in anesthesia practice.
- Department: Nursing
- 4 points
WRITING FOR PUBLICATION
- Department: Rehabilitation Medicine (RMED)
-
Instructor:
Daniel L Geller
Info -
Instructor:
Rochelle Mendonca
Info - 1 points
Applied Regression Analysis
The goal of this course is to provide students with practical experience in building and analyzing regression models to address business problems.
The course picks up where the core course in Managerial Statistics left off. We will begin with a brief review of regression analysis as covered in the core and then move on to new topics, including model selection, interaction effects, nonlinear effects, classification problems, and forecasting.
All material will be covered through examples, exercises, and cases. In addition, students will work in groups on a final project of their choosing. The goal of the project is to address a specific business problem through statistical analysis.
- Department: Decision, Risk and Operations
- MTWRF 2 p.m.-6 p.m.
- MW 10:50 a.m.-12:20 p.m.
-
Instructor:
Paul Glasserman
Info - 1.5 points
Sustainable Operations
The importance of designing, building, and leading sustainable organizations is indisputable. Sustainability encompasses not only the environmental footprint of an organization but also the way in which firms treat workers and customers both within their firm and supply chain network. Understanding the role of operational excellence and strategic supply chain management in achieving sustainability is critical for effective leadership.
This course examines a variety of approaches to designing sustainability into an organization’s operations and how to measure and reduce a firm’s operational environmental impact. We also explore themes of risk, accountability, and sustainability within global supply chains. What challenges do firms face in being socially responsible when managing globally distributed supply chains? Three themes comprise this course: (1) designing sustainable operations, (2) drivers and consequences of sustainability, and (3) global sourcing and social responsibility.
• Designing Sustainable Operations. Sample cases include – REI Rentals, All Birds, IndigoAg, Supply Chain Hubs in Humanitarian Logistics.
• Drivers and Consequences of Sustainability. Sample cases include – Fiji Water, Aspen Ski Company.
• Global Sourcing & Social Responsibility. Sample cases include – IKEA, Ready Made Garment Industry, Roche & Tamiflu.
- Department: Decision, Risk and Operations
- T 2:20 p.m.-5:35 p.m.
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Instructor:
Nicole Dehoratius
Info - 1.5 points
SEM-NEGOTIATION WORKSHOP
This is a Law School course. For more detailed course information, please go to the Law School Curriculum Guide at: http://www.law.columbia.edu/courses/search
- Department: Law
-
Instructor:
Mavis K Fowler
Info - 3 points
SEM-NEGOTIATION WORKSHOP
This is a Law School course. For more detailed course information, please go to the Law School Curriculum Guide at: http://www.law.columbia.edu/courses/search
- Department: Law
- 3 points
SEM-NEGOTIATION WORKSHOP
This is a Law School course. For more detailed course information, please go to the Law School Curriculum Guide at: http://www.law.columbia.edu/courses/search
- Department: Law
-
Instructor:
Michelle A Greenberg-Kobrin
Info -
Instructor:
Steven M Rabinowitz
Info -
Instructor:
Stephanie S Chow
Info - 3 points
Applied Physiology
This 13-week course during the first term of the DPT curriculum provides students with a theoretical basis for understanding the body's physiological responses to exercise. Emphasis will be placed upon the practical application of exercise physiology principles in physical therapy practice.
This course is designed to provide an integrative view of human exercise physiology. This class will cover the acute and chronic adaptations to exercise including the cardiovascular, respiratory, neuromuscular and metabolic systems in relation to acute and chronic exercise.
- Department: Physical Therapy
- 2 points
Design of Medical Experiments
DESIGN OF MEDICAL EXPERIM
This course covers the fundamental principles and techniques of experimental designs in clinical studies. This is a required course for MS, DrPH and Ph.D. in Biostatistics. Topics include reliability of measurement, linear regression analysis, parallel groups design, analysis of variance (ANOVA), multiple comparison, blocking, stratification, analysis of covariance (ANCOVA), repeated measures studies; Latin squares design, crossover study, randomized incomplete block design, and factorial design.
Business Analytics III: Modern AI, Deep
Business Analytics III: A
Business analytics refers to the ways in which enterprises such as businesses, non-profits, and
governments use data to gain insights and make better decisions. Business analytics is applied
in operations, marketing, finance, and strategic planning among other functions. Modern data
collection methods – arising in bioinformatics, mobile platforms, and previously unanalyzable
data like text and images – are leading an explosive growth in the volume of data available for
decision making. The ability to use data effectively to drive rapid, precise, and profitable
decisions has been a critical strategic advantage for companies as diverse as Walmart, Google,
Capital One, and Disney. Many startups are based on the application of AI & analytics to large
databases. With the increasing availability of broad and deep sources of information – so-called
“Big Data” – business analytics are becoming an even more critical capability for enterprises of
all types and all sizes.
- Department: Decision, Risk and Operations
- W 2:20 p.m.-5:35 p.m.
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Instructor:
Charles R Guetta
Info - 1.5 points
Transforming the Delivery of H
This course provides an advanced, critical analysis of the delivery and payment of healthcare services in the U.S. It will analyze the attractiveness and feasibility of new approaches to address the challenges facing providers, payors and patients operating in an inefficient, misaligned, and fragmented healthcare system. Particular focus will be given to the impact of the 2009 HITECH Act as well as the Affordable Care Act (ACA) of 2010. There will be guest lectures by some of a variety of major leaders in healthcare business and policy. Students with limited knowledge of healthcare payment and delivery systems are unlikely to benefit from the course given the advanced nature of the material that will be covered."
- Department: Decision, Risk and Operations
- TR 10:50 a.m.-12:20 p.m.
-
Instructor:
Brian Regan
Info - 1.5 points
Analysis of Categorical Data
ANALYSIS OF CATEGORICAL D
A comprehensive overview of methods of analysis for binary and other discrete response data, with applications to epidemiological and clinical studies. It is a second level course that presumes some knowledge of applied statistics and epidemiology. Topics discussed include 2 × 2 tables, m × 2 tables, tests of independence, measures of association, power and sample size determination, stratification and matching in design and analysis, interrater agreement, logistic regression analysis.
- Department: Biostatistics
- TR 6 p.m.-7:20 p.m.
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Instructor:
Dacheng Liu
Info - 3 points
ANALYSIS OF CATEGORICAL DATA
- Department: ONLINE MS IN EPIDEMIOLOGY
-
Instructor:
Tonguc Yaman
Info - 3 points
DIALECTS & ACCENTS
This course continues the actor’s work of experiencing voice and text in a free body as a means to develop versatile and transformative speech. Students will deepen and refine their knowledge of the phonemes of the International Phonetic Alphabet (IPA), as well as the ability to categorize and utilize Lexical Sets in pursuit of a dialect/accent. Students will demonstrate their ability to notate texts and transcribe dialects and accents into both IPA and practically apply the framework of the Four Pillars and the Voice Recipe.
The student will use these tools, supplemented by handouts, video & audio resources and independent research, to study several accents/dialects in class as well as at least one additional independently researched accent/dialect. The goal of the class is to expand upon the actor’s choices of speech and vocal expression and to acquaint her/him with the resources necessary to truthfully portray an individual utilizing a dialect/accent on stage or screen.
Students will develop their own unique process for learning accents and dialects
, as well as efficiently and effectively applying their progression to texts via a combination of practice sentences, scene work, conversation, improvisation, cold readings, and a prepared monologue. Students will complete the course having created a personal, in-depth method for researching and performing a role in which an accent or dialect is required.
Students will do self-directed and supported research as part of their study. They will consciously and intelligently assimilate this contextual research into their embodiment choices. The final project is a presentation of their research and the sharing of a monologue that is ideally
written in the student’s selected dialect or accent
.
- Department: Theatre Arts
- W 9 a.m.-12:20 p.m.
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Instructor:
Elizabeth Hayes
Info - 2 points
PROSEMINAR-GERMAN LITERATURE
PROSEMINAR: ROMANTICISM
Proseminar for Graduate Students only.
- Department: Germanic Languages
- M 10:10 a.m.-noon
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Instructor:
Stefan Andriopoulos
CULPA: 6 Wikipedia h-index: 12 Info - 4 points
Analysis of Health Surveys
ANALYSIS OF HLTH SURVEYS
This is an applied statistical methods course. The course will introduce main techniques used in sampling practice, including simple random sampling, stratification, systematic sampling, cluster sampling, probability proportional to size sampling, and multistage sampling. Using national health surveys as examples, the course will introduce and demonstrate the application of statistical methods in analysing across-sectional surveys and repeated and longitudinal surveys, and conducting multiple imputation for missing data in large surveys. Other topics will include methods for variance estimation, weighting, post-stratification, and non-sampling errors. If time allows, new developments in small area estimation and in the era of data science will also be discussed.
- Department: Biostatistics
- W 1 p.m.-3:50 p.m.
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Instructor:
Qixuan Chen
h-index: 27 Info - 3 points
S. Advising Complex Corporations
S ADVISING COMPLEX CORP
- Department: Law
-
Instructor:
David Marriott
Info - 2 points
Graphical Models for Complex Health Data
GRAPHICAL MODELS COMPLEX
This is a course at the intersection of statistics and machine learning, focusing on graphical models. In complex systems with many (perhaps hundreds or thousands) of variables, the formalism of graphical models can make representation more compact, inference more tractable, and intelligent data-driven decision-making more feasible. We will focus on representational schemes based on directed and undirected graphical models and discuss statistical inference, prediction, and structure learning. We will emphasize applications of graph-based methods in areas relevant to health: genetics, neuroscience, epidemiology, image analysis, clinical support systems, and more. We will draw connections in lecture between theory and these application areas. The final project will be entirely “hands on,” where students will apply techniques discussed in class to real data and write up the results.
- Department: Biostatistics
- TR 4 p.m.-5:20 p.m.
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Instructor:
Daniel S Malinsky
Info - 3 points
DIGITAL LITERACY-DECISION MKRS
COURSE DESCRIPTION
Unrelenting technological progress demands entrepreneurs, executives, and managers to continually upgrade their skills in the pursuit of emerging opportunities. As “software eats the world”, executives from all industries are increasingly called upon to be “Full Stack”: capable of making competent decisions across domains as diverse as digital technology, design, product, and marketing.
In this course, we begin with primers on code, design, and product management. Once the foundation is laid, we examine the best practices for building great products and exceptional teams. We conclude with an overview of how technology is changing the way products are marketed, distributed, and monetized. Our goal is to equip “non-technical” executives with the terminology, tools, and context required to effect change in a software and internet-driven world.
COURSE LEARNING OBJECTIVES
To provide an understanding of the technologies that we encounter everyday, and how history can inform the technology decisions executives face today.
To become familiar the concepts that underpin modern computer programming, empowering managers to engage with engineers credibly and confidently.
To shed light on the processes and tools designers use to solve user-facing design and architecture challenges.
To clarify what product managers do, walk through the nitty-gritty of managing software development, and equip executives with the best practices for evaluating and improving their products.
To prepare managers to identify, recruit, and nurture the technical talent they will need to succeed in today’s highly competitive labor market.
To familiarize students with the dynamic context in which technology products live, ensuring the profitable and widespread delivery of those products.
- Department: Decision, Risk and Operations
- T 9 a.m.-12:15 p.m.
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Instructor:
Marco A Morales Barba
Info - 1.5 points
Kinesiology & Biomechanics I
This 16-week course during the first term of the DPT curriculum is the first of a 2-part series. This is a comprehensive lecture/laboratory course in the first semester of the DPT curriculum, which establishes foundational knowledge of normal human movement and an introduction to aberrant human movement. Fundamental biomechanical and kinesiological principles, including kinematics and kinetics, of human movement are integrated with knowledge of anatomical structures under normal and pathological conditions. Each joint complex of the human body is scrutinized and integrated with a regional interdependence approach to human movement.
This course begins with an introduction to the biomechanical properties of connective tissue and muscle mechanics, followed by a discussion of the integral principles of biomechanics (i.e., gravity, friction, leverage, composition, and resolution of internal and external forces in producing movement). These topics are integrated throughout the kinesiology analyses of the human body, organized by anatomical region. Specific attention will be given to the relationship between anatomical structure and kinesiological function, joint classification, osteokinematics, arthrokinematics, muscle and ligament function, kinematic chains, and alignment. There is an emphasis on kinematics and muscle function in normal functional movements, while pathological movement is introduced. The laboratory component highlights surface anatomy palpation with emphasis on structure identification, positioning, body mechanics and hand placement. Additionally, the laboratory component will emphasize the identification of osteokinematics, arthrokinematics, and muscle actions during simple and multiple-joint movement assessments. Both lecture and laboratory incorporate observation and analysis of normal movement of the limbs and trunk, utilizing patient-specific case studies and selected examples. Optional open lab and lecture review sessions are small group review sessions and/or case discussions, organized by 3rd year DPT teaching practicum students. First year DPT students, who wish to attend, may utilize this time to review their lab/lecture material with their peers and 3rd year DPT students, while asking questions pertaining to the course material.
- Department: Physical Therapy
- 4 points
Introduction to Psychedelics in Clinical
INTRO TO PSYCHEDELICS IN
Though psychedelic plants and compounds have been used in a wide-spectrum of healing practices throughout human history, they have quickly been gaining recognition and acceptance in conventional western healthcare in recent years, along with a growing interest in underground, international, and ceremonial plant medicine work. This course is designed to provide foundational knowledge of contemporary psychedelic healing and integration practices, as is relevant to medical management of patients seeking psychedelic treatment, in order to prepare students for prescription of legal medications into their practices.
- Department: Nursing
- M 5:30 p.m.-8:20 p.m.
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Instructor:
Ronica Mukerjee
Info - 3 points
Biostatistical Methods I
BIOSTATISTICAL METHODS I
This one-semester course introduces basic applied descriptive and inferential statistics. The first part of the course includes elementary probability theory, an introduction to statistical distributions, principles of estimation and hypothesis testing, methods for comparison of discrete and continuous data including chi-squared test of independence, t-test, analysis of variance (ANOVA), and their non-parametric equivalents. The second part of the course focuses on linear models (regression) theory and their practical implementation.
- Department: Biostatistics
- F 1 p.m.-2:20 p.m.
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Instructor:
Todd Ogden
Info - 3 points
Acute and Critical Care Pharmacology
ACUTE & CRIT CARE PHARMAC
The purpose of this course is to provide a comprehensive and in-depth background in acute and critical care pharmacotherapy. This course will address the pharmacology and appropriate clinical use of agents used in the treatment of selected acute disorders found in acutely/critically ill patients. Recent advances in pharmacotherapy, personalized management strategies, and controversial issues will be included and emphasized.
- Department: Nursing
- M 5 p.m.-6:50 p.m.
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Instructor:
Jenny Shah
Info - 3 points
ACTING III
MFA acting students will tackle verse drama and heightened language. We will spend much of our time investigating Shakespeare’s writing, with a focus on King Lear and Much Ado about Nothing, and will weave in contemporary heightened language texts throughout the semester.
Goals
To develop students into keen interpreters of heightened theatrical language, both classical and contemporary
To enable students to express their instinctive emotional responses to the rhythms, sounds and the mysteries contained in great language texts
To bring character and the specific imaginative world of each play alive thru the language
To foster each actor’s unique voice
- Department: Theatre Arts
- F 9:30 a.m.-12:20 p.m.
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Instructor:
Peter Fernandez
Wikipedia Info - 3 points
Sports Analytics
Sports analytics refers to the use of data and quantitative methods to measure performance and make decisions to gain advantage in the competitive sports arena. This course builds on the Business Analytics core course and is designed to help students to develop and apply analytical skills that are useful in business, using sports as the application area. These skills include critical thinking, mathematical modeling, statistical analysis, predictive analytics, game theory, optimization and simulation. These skills will be applied to sports in this course, but are equally useful in many areas of business.There will be three main topics in the course: (1) measuring and predicting player and team performance, (2) decision-making and strategy in sports, and (3) fantasy sports and sports betting. Typical questions addressed in sports analytics include: How to rank players or teams? How to predict future performance of players or teams? How much is a player on a team worth? How likely are extreme performances, i.e., streaks? Are there hot-hands in sports performances? Which decision is more likely to lead to a win (e.g., attempt a stolen base or not in baseball, punt or go for it on fourth down in football, dump and chase or not in hockey, pull the goalie or not in hockey)? How to form lineups in daily fantasy sports? How to manage money in sports betting? How to analyze various ``prop'' bets?The main sports discussed in the course will be baseball, football, basketball, hockey, and golf. Soccer, tennis, and other sports will be briefly discussed.
Students are welcome to pursue any sport in more detail (e.g., cricket, rugby, auto racing, horse racing, Australian rules football, skiiing, track and field, or even card games such as blackjack, poker, etc.) in a project. Class sessions will involve a mixture of current events, lecture, discussion, and hands-on analysis with computers in class. Each session will typically address a question from a sport using an important analytical idea (e.g., mean reversion) together with a mathematical technique (e.g., regression). Because of the "laboratory" nature of part of the sessions, students should bring their laptops to each class.
- Department: Decision, Risk and Operations
- M 2:20 p.m.-5:35 p.m.
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Instructor:
Mark N Broadie
Info - 3 points
Digital Health Startups
Healthcare represents 18% of the U.S. economy, yet it is one of the last sectors to undergo technology-based transformation. Digital health represents the convergence of healthcare and technology, with the aim to improve access to care, reduce inefficiencies in healthcare delivery, lower costs, enhance the quality of patient care, make treatments more targeted and personalized, and empower consumers to better manage their own health and well-being.
In recent years there has been an explosion of new digital health startups focused on these key objectives. Digital health has become the bellwether of venture funding, outgrowing both traditional healthcare and technology sectors. Venture funding in this category exceeded $29 billion in 2021, double the previous year and a 2,325% increase from 2011.
This course will analyze the unique characteristics and strategies of digital health companies as students form groups to act as venture capitalists and develop investment memos for real companies that are pitched by their founders. Past companies that have been pitched in this course— Maven Clinic, Grand Rounds (Included Health), and Simple Health— have gone on to become high-growth, billion-dollar companies.
Students will analyze key objectives of new businesses and determinants of success including unit economics, product differentiation, go-to market strategies, customer acquisition, marketing tactics, scale-up/growth opportunities, and other business optimization approaches. The course will allow students to hone their investment skills including questions to ask during an entrepreneur’s pitch, developing an investment thesis, and how to structure and write an investment memo. This course will address these issues through a mixture of lectures, case studies, and guest speakers (entrepreneurs and investors) from the digital health sector.
- Department: Decision, Risk and Operations
- MTWRF 9 a.m.-1 p.m.
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Instructor:
Halle Tecco
Wikipedia Info - 1.5 points
Intro to Databases for Busines
We don’t think about databases much, right? At least not when they’re working right. But they’re all around us. They’re in every product we use. And when they don’t work (think about the iCloud, LinkedIn, or Ashley Madison data breaches in which hundreds of millions of emails and passwords were exposed) the consequences can be extreme.
Every modern company stores their data in a database (it’s like a really big version of Excel), and if you want to analyze the data, you may be expected to know how to access it yourself. In fact, at many companies are requiring even their business leaders to have an understanding of databases. At the very least, knowing how to set up and interact with databases will improve your ability to GSD (get stuff done), strengthen your understanding of how technology works, and make you less of a pain for developers to work with.
In this class, we’ll explore basic SQL (the most common database language) for business analytics. At the end of the course, students should have a deeper understanding of how databases work, how they fit into the general technology stack, how to connect to databases, and know how to browse and exporting data from databases.
- Department: Decision, Risk and Operations
- T 2:20 p.m.-3:50 p.m.
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Instructor:
Mattan Griffel
Info - 1.5 points
Intro to Databases for Busines
We don’t think about databases much, right? At least not when they’re working right. But they’re all around us. They’re in every product we use. And when they don’t work (think about the iCloud, LinkedIn, or Ashley Madison data breaches in which hundreds of millions of emails and passwords were exposed) the consequences can be extreme.
Every modern company stores their data in a database (it’s like a really big version of Excel), and if you want to analyze the data, you may be expected to know how to access it yourself. In fact, at many companies are requiring even their business leaders to have an understanding of databases. At the very least, knowing how to set up and interact with databases will improve your ability to GSD (get stuff done), strengthen your understanding of how technology works, and make you less of a pain for developers to work with.
In this class, we’ll explore basic SQL (the most common database language) for business analytics. At the end of the course, students should have a deeper understanding of how databases work, how they fit into the general technology stack, how to connect to databases, and know how to browse and exporting data from databases.
- Department: Decision, Risk and Operations
- T 2:20 p.m.-3:50 p.m.
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Instructor:
Mattan Griffel
Info - 1.5 points
Clinical Trial Methodology
CLINICAL TRIAL METHODOLOG
Clinical trials are the pilars of clinical research. The main objective of this course is to prepare researchers to design and conduct complex clinical trials that yield valid and reliable results. The course emphasizes on several methodological and practical issues related to the design and analysis of clinical experiments. The course builds on the knowledge and skills gained in the course Randomized Clinical Trial (P8140). The objective of this course is to provide students with working knowledge of certain methodological issues that arise in designing a Clinical Trial. Topics include: Design of small studies (Phase I and II studies), Interim analyses and group sequential methods, Design of survival studies, Multiple outcome measures, Equivalency Trials, Multi-center studies, and trials with multiple outcome measures.
- Department: Biostatistics
- R 8:30 a.m.-11:20 a.m.
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Instructor:
Cheng-Shiun Leu
h-index: 28 Info - 3 points
Seminar in Primary Care Across the Lifes
Sem in Prim Care X Life I
This course is designed to enhance the clinical reasoning and decision-making skills of Family Nurse Practitioner (FNP) students through case-based learning, evidence-based practice application, and faculty-guided small group discussions. Students will engage in peer collaboration, critical thinking exercises, and case presentations to refine their approach to patient evaluation, diagnosis, and management. Students will develop effective documentation and interprofessional communication skills.
- Department: Nursing
- W 6 p.m.-7:50 p.m.
- W 3 p.m.-4:50 p.m.
- 2 points
Primary Care Across the Lifespan: Practi
PC Across Lifespan Prac I
The clinical practicum builds upon knowledge obtained in Diagnosis and Management II. This practicum is designed to expand the role of the nurse practitioner student to provide primary care to complex patients, families and communities, in an outpatient setting across the lifespan. The goal of the practicum is to prepare the students for the delivery of comprehensive primary care. The practicum focuses on chronic physical and mental illness causing various complications.
- Department: Nursing
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Instructor:
Ellen M Fahey
Info - 3 points
Introduction to Programming in
This class is an intensive introduction to R. It starts with the very basics of assigning variables and reading data. It then progresses to using RMarkdown for document and presentation creation. - Week 1 - Introduction to R - RMarkdown - Week 2 - Data Manipulation with dplyr - Creating Visualizations - Week 3 - Reading Data - Iterate Over Lists with purrr - Reshaping Data - Week 4 - Linear Models - Generalized Linear Models - Assessing Model Quality - Week 5 - Cross-Validation - Penalized Regression - Boosted Trees - Week 6 - Shiny Basics - Shiny Dashboard
DROMB8145
- Department: Decision, Risk and Operations
- FM 9 a.m.-12:15 p.m.
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Instructor:
Jared P Lander
Info - 1.5 points
Analytics in Action (Master Cl
This course provides students the opportunity to learn business analytics and data science by working on a set of company sponsored applied projects. Students teams of 5-6 people, with 3-4 MBA students and 1-2 engineering (SEAs) students, will work hand in hand with the instructors and company representatives to achieve company goals through the practical application of data analytics.
It is highly recommended that before taking this class, students take the basic python qualification exam (see gsb.columbia.edu/courses/python). It is also highly recommended that students take DROMB8101, Business Analytics II, as a co-requisite.
Prerequisites listed below.
- Department: Decision, Risk and Operations
- W 6 p.m.-9:15 p.m.
- 3 points
Human Population Genetics
HUMAN POPULATION GENETICS
A good grasp of the fundamentals of Population Genetics is crucial for an understanding of any field of human genetics. This is precisely the aim of this course: to provide to students the key elements of Population Genetics with a view to equip them with the right tools to understand the field of genetics in general and to pursue further studies in human genetics. The course uses various evolutionary principles to explain key population genetics concepts.
- Department: Biostatistics
- M 1 p.m.-3:50 p.m.
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Instructor:
Prakash Gorroochurn
Info - 3 points
ACTING TECHNIQUES
ACTING THROUGH SONG
- Department: Theatre Arts
- F 2:10 p.m.-5 p.m.
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Instructor:
Jenn Colella
Wikipedia Info - 3 points
Python for MBAs
From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. This course is an introduction to business uses of Python for MBA students. In this course, well be learning how to write Python code that automates tedious tasks, parses and analyzes large data sets, interact with APIs, and scrapes websites. This might be one of the most useful classes you ever take. Required Course Material Students must have a laptop that they can bring to class - Mac or PC is fine, as long as your operating system is up to date (at least Windows 10 and Mac OS 11). This course does not require a textbook. (Optional Reading: Python for MBAs, Griffel and Guetta) Any required readings will be provided via Canvas. Slides and files will be uploaded to Canvas after each class.
Students will need to complete an introductory Python class (https://courseworks2.columbia.edu/courses/152704) and pass the Basic Python Qualification exam (https://www8.gsb.columbia.edu/courses/python#basic_qual) before the first day of classes.
- Department: Decision, Risk and Operations
- W 6 p.m.-9:15 p.m.
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Instructor:
Sunny Israni
Info - 1.5 points
Analysis of Longitudinal Data
ANALYSIS OF LONGITUDINAL
The course will introduce students to statistical models and mthods for longitudinal data, i.e., repeatedly measured data over time or under different conditions. The topics will include design and sample size calculation, Hotelling's T^2, multivariate analysis of variance, multivariate linear regression (Generalized linear models), models for correlation, unbalanced repeated measurements, Mixed effects models, EM algorithm, methods for non-normally distributed data, Generalized estimating equations, Generalized linear mixed models, and Missing data.
- Department: Biostatistics
- R 2:30 p.m.-3:50 p.m.
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Instructor:
Zhonghua Liu
Info - 3 points
Management of Patients with Special Need
MGMT OF PTS WITH SPEC NDS
- Department: Dental and Oral Surgery
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Instructor:
Marc W Michalowicz
Info - 0 points
Relational Databases and SQL Programming
RELATIONAL DATABASES AND
In this course, you will learn to design and build relational databases in MySQL and to write and optimize queries using the SQL programming language. Application of skills learned in this course will be geared toward research and data science settings in the healthcare field; however, these skills are transferable to many industries and application areas. You will begin the course examining the pitfalls of using Excel spreadsheets as a data storage tool and then learn how to build properly-designed relational databases to eliminate the issues related to spreadsheets and maintain data integrity when storing and modifying data. You will then learn two aspects of the SQL programming language: 1) the data manipulation language (DML), which allows you to retrieve data from and populate data into database tables (e.g., SELECT, INSERT INTO, DELETE, UPDATE, etc.), and 2) the data definition language (DDL), which allows you to create and modify tables in a database (e.g., CREATE, ALTER, DROP, etc.). You will additionally learn how to optimize SQL queries for best performance, use advanced SQL functions, and utilize SQL within common statistical software programs: R and SAS.
- Department: Biostatistics
- T 5:30 p.m.-8:20 p.m.
- W 5:30 p.m.-8:20 p.m.
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Instructor:
Zoe Verzani
Info - 3 points
Political Theory of Democratization, De-
Democ, De-Democ, Regime C
Concern about the retreat of democracy, democratic recession and/or democratic backsliding are proliferating in the political theoretical and comparative politics literature. While domestic and external threats to democracy and reverse waves are not new, there is widespread agreement that today even long-consolidated, wealthy democracies are now at risk and that new dynamics of de-democratization are at play. This course will involve an in-depth study of the political theory and comparative politics literature on the relevant concepts and dynamics: transition, democratization, de-democratization, democratic backsliding, hybridization, “post-democracy” and the assumptions undergirding them. We will discuss the various concepts of democracy and regime used or presupposed in the relevant literature and assess how these have evolved. The purpose of the first part of the course is to rethink the basic concepts and theories regarding democracy breakdown, transitions to democracy, democratic consolidation, backsliding and hybridization of democratic regimes and to clarify the conceptual and political issues regarding thresholds, cycles, and the like. The last third of the course will focus on cycles of democratization, de-democratization and re-democratization in the case of the U.S.: the oldest representative constitutional democracy and the one most typically taken as the exemplar of a consolidated democratic regime.
- Department: Political Science
- W 2:10 p.m.-4 p.m.
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Instructor:
Jean L Cohen
CULPA: 7 Wikipedia h-index: 63 Info - 4 points
Diagnosis and Management of Acute & Crit
DX & MGMT ACUTE CRIT ILLN
This is the second of three Diagnosis and Management courses designed to educate students on the assessment, diagnosis, treatment and evaluation of common acute and critical illnesses via a systems-based approach. Pathophysiologic alterations, assessment, diagnostic findings, and multimodal management will be discussed. The course will examine social determinants of health and health disparities that may impact patients and family outcomes. Focus will be on the differential diagnosis and comprehensive healthcare management of commonly encountered acute and chronic physical illnesses using didactic lectures, case studies and simulation.
Effective Management in the Public Servi
Management in Public Serv
This course equips mid-career professionals with actionable frameworks, tools, and insights to lead organizational change, drive performance, and manage complex challenges in the public and nonprofit sectors. Across 12 highly interactive sessions, students examine case-based scenarios that explore how managers conceive and implement value-driven strategies, navigate organizational dynamics, and deliver measurable results.
Key themes include strategic planning, performance management, people development, operational platforms, and using power and persuasion to implement change. Through analysis of real-world cases, structured reflection, and applied learning, students will strengthen their ability to frame policy decisions, mobilize resources, and lead through uncertainty.
This course builds leadership capacity for professionals seeking to lift performance, transform services, and create public value. Students will leave with a set of durable management tools and lessons applicable across roles, organizations, and stages of their careers.
- Department: EXECUTIVE MPA
- S 10 a.m.-11:50 a.m.
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Instructor:
Robert Z Tumin
Info - 3 points
S. Intellectual Property Transactions Wo
S. IP Transactions Worksh
- Department: Law
- 2 points
Phys & Nutrition Through the Lifecycle
General aspects of normal human growth and development from viewpoints of physical growth, cellular growth and maturation, and adjustments made at birth; the impact of altered nutrition on these processes. Prenatal and postnatal malnutrition, the role of hormones in growth; relationships between nutrition and disease in such areas as anemia, obesity, infection, and carbohydrate absorption.
- Department: Human Nutrition, Institute of
- TR 1:30 p.m.-3:20 p.m.
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Instructor:
Moneek Madra
Info - 3 points
NONFICTION THESIS WORKSHOP
- Department: Writing
- W 2 p.m.-5 p.m.
- T 1:10 p.m.-4:10 p.m.
- M 1:10 p.m.-4:10 p.m.
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Instructor:
Chloe Jones
Info -
Instructor:
Jaquira Diaz
Wikipedia Info -
Instructor:
Leslie S Jamison
Wikipedia Info - 9 points