Business Analytics II

This course extends and deepens the material you learned in business analytics. We will apply these methods in more unstructured and diverse situations, introduce new analytics tools and methods (including Tableau Visualization, text mining, and random forests), and study a modern framework for overfitting reduction called regularization that underlies much of modern machine learning. This course does not require coding or knowledge beyond Business Analytics, but the mathematical sophistication level will be somewhat more advanced.

• Department: Decision, Risk and Operations
• MTWRU 9 a.m.-5 p.m.
• Instructor: Charles R Guetta
  Info
• 3 points

Advanced Pharmacology for Non-Prescriber

ADV PHARM FOR NON-PRESCRI

The goals of this course are to provide students with an advanced knowledge and understanding of the actions of drugs in order to enable them to use therapeutic agents in a rational and responsible manner in patients.  Initially, basic principles of pharmacology will be reviewed, including absorption, distribution, metabolism, and excretion of drugs by the body.  Topics will follow regarding principles of advanced clinical pharmacology.  The focus of these lectures will be to demonstrate the therapeutic application of these advanced pharmacologic principles and how this translates into efficacy and potential toxicity.

• Department: Nursing
• TR 4 p.m.-5:50 p.m.
• 3 points

SOCIAL WORK PRACTICE II

• Department: Social Work
• W 1 p.m.-4:30 p.m.
• Instructor: Mohamad A Brooks
  Info
• Instructor: Sumathy D Applewhite
  Info
• Instructor: Chantelle J Doswell
  Info
• 3 points

ADVOCACY IN SW PRACTICE

• Department: Social Work
• W 5 p.m.-8 p.m.
• Instructor: John G Robertson
  Info
• Instructor: Teena Brooks
  Info
• Instructor: Robin T Kelley
  Wikipedia Info
• 3 points

Advanced Standing Integrative Seminar

ADV STAND INTEGRATIVE SEM

• Department: Social Work
• TW 9 a.m.-12:30 p.m.
• TW 2 p.m.-5:30 p.m.
• Instructor: Janelle L Stanley
  Info
• Instructor: Diana A Melendez
  Info
• 3 points

Advanced Standing Integrative Seminar

ADV INTEGRATIVE SEMINAR

• Department: Social Work
• TW 5:30 p.m.-9 p.m.
• Instructor: Michael Bomar II
  Info
• 3 points

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
• Instructor: Medini Singh
  Info
• 3 points

Applied Regression Analysis

This course is designed for students who wish to increase their capability to build, use, and interpret statistical models for business.
A primary goal of the course is to enable students to build and evaluate statistical models for managerial use in finance, operations and marketing. The focus is on generating managerially useful information and practical decision-making tools, rather than on statistical theory per se. A number of actual business cases are studied.
Concepts covered are multiple linear regression models and the computer-assisted methods for building them, including stepwise regression and all subsets regression. Emphasis is placed on diagnostic and graphical methods for testing the validity and reliability of regression models.
Course topics include a review of basic statistical ideas, numerical and graphical methods for summarizing data, simple linear and nonlinear regression, multiple regression, qualitative independent and dependent variables, diagnostic methods for assessing the validity of statistical models. The course studies applications of regression to business forecasting and also examines alternative times series forecasting models, including exponential smoothing.
While the primary focus of the course is on regression models, some other statistical models will be studied as well, including cluster analysis, discriminant analysis, analysis of variance, and goodness-of-fit tests.
Term project: A major aspect of course is the opportunity to carry out a practical statistical analysis project of one’s own. Students work in teams on a problem of their own choosing. The goal of the project is to develop a useful statistical model for a specific business problem, with the professor providing ongoing guidance and advice during the course of project. The teams will give an oral presentation of their results at the term’s end.
Excel is used for basic statistical analysis as well as for developing straightforward regression models. In addition, more advanced commercial statistical software, such as Minitab or SAS, is used to carry out more complex and advanced analyses. In addition to the term project, there will be several computer-based assignments.

• Department: Decision, Risk and Operations
• Instructor: David Juran
  Info
• 1.5 points

Applied Regression Analysis

This course is designed for students who wish to increase their capability to build, use, and interpret statistical models for business.
A primary goal of the course is to enable students to build and evaluate statistical models for managerial use in finance, operations and marketing. The focus is on generating managerially useful information and practical decision-making tools, rather than on statistical theory per se. A number of actual business cases are studied.
Concepts covered are multiple linear regression models and the computer-assisted methods for building them, including stepwise regression and all subsets regression. Emphasis is placed on diagnostic and graphical methods for testing the validity and reliability of regression models.
Course topics include a review of basic statistical ideas, numerical and graphical methods for summarizing data, simple linear and nonlinear regression, multiple regression, qualitative independent and dependent variables, diagnostic methods for assessing the validity of statistical models. The course studies applications of regression to business forecasting and also examines alternative times series forecasting models, including exponential smoothing.
While the primary focus of the course is on regression models, some other statistical models will be studied as well, including cluster analysis, discriminant analysis, analysis of variance, and goodness-of-fit tests.
Term project: A major aspect of course is the opportunity to carry out a practical statistical analysis project of one’s own. Students work in teams on a problem of their own choosing. The goal of the project is to develop a useful statistical model for a specific business problem, with the professor providing ongoing guidance and advice during the course of project. The teams will give an oral presentation of their results at the term’s end.
Excel is used for basic statistical analysis as well as for developing straightforward regression models. In addition, more advanced commercial statistical software, such as Minitab or SAS, is used to carry out more complex and advanced analyses. In addition to the term project, there will be several computer-based assignments.

• Department: Decision, Risk and Operations
• Instructor: David Juran
  Info
• 1.5 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, we’ll 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
• 1.5 points

Foundations of Spirituality and Health C

Spiritualt & Hlth Care Nu

This course is guided by the view that human beings are driven to make meaning of their circumstances, and that spirituality as a Social Determinant of Health is a life force within each person that needs to be considered in holistic health care for the patients and families in our charge, as well as for ourselves. 

The interactive didactic sessions examine the foundations of spirituality and the ways in which it interacts with health care as practiced in nursing.  Small group work with case studies will focus on clarifying spirituality as a Social Determinant of Health, and on applying spiritual assessments. 

 

The practicum will be on-site clinical work with a structured debrief.  Students will shadow chaplain visits; will have a direct experience of providing general spiritual support for patients, families and staff; will practice applying the tools of spiritual assessment; and will practice leading spiritually informed visits under the chaplain’s supervision.   

 

While there will be discussion about religion and spirituality as it relates to the topics in the curriculum, this is not a class on religion, and no specific religious or spiritual path endorsed. 

 

N.B. The practicum hours may not be applied towards a student’s clinical hours requirement.

• Department: Nursing
• M 3 p.m.-4:30 p.m.
• Instructor: Linda S Golding
  Info
• 2 points

SOCIAL WORK PRACTICE IN ALCOHOL AND SUBS

SW PRAC ALCOHL & SUBSTANC

• Department: Social Work
• M 6 p.m.-8:30 p.m.
• Instructor: Andrew Hamid
  Info
• 3 points

Capital Markets & Investments

This Capital Markets course has three goals: - To introduce the principles of asset valuation from an applied perspective. The majority of the class is concerned with the valuation of financial securities. The valuation issues to be discussed are heavily used in portfolio management and risk management applications. - To introduce the following concepts: arbitrage, the term structure of interest rates, equilibrium pricing, diversification, the Capital Asset Pricing Model (CAPM), efficient and inefficient markets, performance evaluation, and derivative securities, particularly options. - To provide sufficient background knowledge for students seeking an overview of capital markets and an introduction to advanced finance courses.

• Department: Finance
• Instructor: Mark Zurack
  CULPA: 1 Info
• 3 points

Capital Markets & Investments

This Capital Markets course has three goals: - To introduce the principles of asset valuation from an applied perspective. The majority of the class is concerned with the valuation of financial securities. The valuation issues to be discussed are heavily used in portfolio management and risk management applications. - To introduce the following concepts: arbitrage, the term structure of interest rates, equilibrium pricing, diversification, the Capital Asset Pricing Model (CAPM), efficient and inefficient markets, performance evaluation, and derivative securities, particularly options. - To provide sufficient background knowledge for students seeking an overview of capital markets and an introduction to advanced finance courses.

• Department: Finance
• Instructor: Mark Zurack
  CULPA: 1 Info
• 3 points

Primary Care Across the Lifespan I: Semi

SEM PRIMCARE ACROSS LIFE

This course will introduce the DNP student to clinical decision making and evidence-based practice for the provision of primary care to individuals across the lifespan. Utilizing the case narrative format and DNP Competencies as a framework, the student will analyze clinical decisions and apply evidence for best practice. Case studies derived from complimentary practicum that reflect the critical thinking skills needed to diagnose and manage acute and chronic illness will be presented and critiqued.

• Department: Nursing
• T 1 p.m.-2:59 p.m.
• 2 points

Primary Care Across the Lifespan I: Prac

PRAC: PRIMCARE ACROSS LIF

The clinical practicum is designed to assist the student in the application of the principles of primary care learned in Diagnosis and Management I. The student is prepared to provide primary health care for patients, across the lifespan, in an outpatient setting. This course will focus on health care maintenance, diagnosis and management of commonly encountered illnesses in primary care.

• Department: Nursing
• 3 points

SW PRAC & GENDER-BASED VIOLENCE

SW PRAC & DOMESTIC VIOLEN

Students examine the issue of violence against women and families. The demographics of the population, theories of domestic violence, crisis intervention, and short- and long-term clinical issues will be examined, as will service modalities for women victims and survivors, batterers, and their children.

• Department: Social Work
• W 8 p.m.-10:30 p.m.
• Instructor: Carmen S Fajardo
  Info
• 3 points

DEMENTIA

• Department: Social Work
• T 7 p.m.-9:30 p.m.
• Instructor: Lia Marshall
  h-index: 1 Info
• 3 points

ADULT PSYCHPATH/PATHWAY-WELLNS

• Department: Social Work
• R 6 p.m.-8:30 p.m.
• Instructor: Sarah E Strole
  Info
• 3 points

Real Estate Finance

Real estate accounts for one third of the world's capital assets. This course provides students with a comprehensive understanding of real estate valuation, cycles, markets, investments, and decision-making, using modern finance and economics tools. The bulk of the course covers income-producing (commercial) property, although we will discuss residential housing as well. This course provides a unified finance-based framework to answer real estate investment decision-making problems encountered in the real world. Doing so requires a good understanding of the institutional features that differentiate real estate from other asset classes and markets as well as modern finance and economics tools.

• Department: Finance
• T 6 p.m.-9 p.m.
• 3 points

Seminar in Value Investing

This course is designed to develop the approach to investments and security analysis pioneered by Benjamin Graham and David Dodd. The course details the comprehensive statistical evidence in favor of such an approach and the types of investments that are likely to be fruitful targets of a value approach. The course focuses on an approach to determining intrinsic values in practice that has the advantage of segregating valuation information by reliability level and using only the most reliable information as a basis for investment decisions in order to obtain a margin of safety." The course consists of lectures and visiting speakers who are successful practicing value investors."

• Department: Finance
• MTWRU 9 a.m.-5 p.m.
• Instructor: Paul Johnson
  h-index: 8 Info
• 3 points

Foundations of Private Equity

Private equity is primarily the investment of capital in the equity of private companies to fund growth or in public companies to take them private. This elective examines the role of private equity from both aspects: as a financing tool and as an investment opportunity. It reviews the critical issues that the parties involved in a transaction (investors, lending banks, managers, entrepreneurs/shareholders, and advisors) will face during the investment process and their negotiations. Topics covered include industry organization, fundamental analysis of investment situations and drivers of value creation, use of applications and models by industry professionals.

• Department: Finance
• Instructor: Aamir Rehman
  Info
• 3 points

Foundations of Private Equity

Private equity is primarily the investment of capital in the equity of private companies to fund growth or in public companies to take them private. This elective examines the role of private equity from both aspects: as a financing tool and as an investment opportunity. It reviews the critical issues that the parties involved in a transaction (investors, lending banks, managers, entrepreneurs/shareholders, and advisors) will face during the investment process and their negotiations. Topics covered include industry organization, fundamental analysis of investment situations and drivers of value creation, use of applications and models by industry professionals.

• Department: Finance
• Instructor: Aamir Rehman
  Info
• 3 points

INTRODUCTION TO DBT SKILLS

Dialectical Behavior Therapy (DBT) is an evidence-based treatment that was originally developed for chronically suicidal individuals and is now the gold standard treatment for Borderline Personality Disorder.  The treatment and its adaptations have since been proven through research to be effective across a wide range of disorders and behavioral problems which have at their core the issue of Pervasive Emotion Dysregulation.   Students will be introduced to key theoretical concepts that inform the “spirit” of DBT, along with an overview of core treatment strategies as used within a DBT skills group. This course is focused on DBT skills, and will provide students with a basic understanding of the four DBT skills modules (Core Mindfulness, Interpersonal Effectiveness, Emotional Regulation, Distress Tolerance). The focus will be on the revised and expanded DBT Skills Manual released in late 2014.  Through course assignments and in-class activities, students will have an opportunity to learn the content of the skills, as well as how to structure and conduct a DBT skills group.   Students will develop a beginning understanding of standard comprehensive DBT, the particular function of each treatment component, (e.g., individual, group, consultation team, coaching) and how DBT skills relate to the other program components. The basic format of this course will include the Instructor's presentation of concepts and principles, group discussion, modeling, role-plays, and technique coaching.  As a practice elective, the major focus is on skill development.  As such, students are expected participate fully in in-class practice exercises and be receptive to feedback from their classmates.

• Department: Social Work
• W 9 a.m.-11:30 a.m.
• Instructor: Grace G Berman
  Info
• 3 points

DIALECTICAL BEHAVIOR THERAPY PRACTICE

DBT PRACTICE

This class is the first required course in the Columbia University DBT Training Program and only open to students admitted to that program. It is designed to prepare students for intensive DBT training and for their DBT internships in the community and for ensuring that program interns are prepared for beginning DBT practice with client populations exhibiting a range of behavioral dysfunctions. These range from mild problems in living that may benefit from DBT skills training to more complex disorders, including suicidal behaviors, requiring comprehensive DBT. It is understood that students enter this program with varying levels of competence and experience in mental health practice and that ongoing individual assessment between the student and instructor play an ongoing role throughout the DBT Training Program, beginning in this class. Personal development as a clinician and personal practices that improve performance are an integral part of all these activities.

• Department: Social Work
• T 1 p.m.-3:30 p.m.
• Instructor: Siddhi Patel
  Info
• 3 points

BEHAVIORAL ASSESSMENT & INTERVENTIONS

BEHAVIORAL ASSESMT & INTE

This course will review both foundational principles of behaviorism (e.g., classical and operant conditioning), techniques in standard behavioral therapy, and recent advances in therapeutic techniques that involve behavioral elements. Students will learn to translate this knowledge and understanding of human behavior to real world applications in clinical settings. Heavy emphasis will be placed on learning behavioral assessment techniques and developing treatment strategies based on behavioral conceptualizations. Specific techniques for putting this knowledge into practice will include instruction in functional analysis, behavioral assessment, behavioral change strategies, case conceptualization and treatment planning. Students will also gain knowledge of recent “third wave” behavioral treatments. Evidence and outcomes for behavioral treatments will be reviewed. Education in how multicultural factors arise in behavioral assessment and therapy will also be emphasized.

• Department: Social Work
• T 6 p.m.-8:30 p.m.
• Instructor: Brandon Weiss
  Info
• 3 points

PHYSICAL & PELVIC ASSESSMENT FOR MIDWIFE

PHYS & PELVIC ASSESS MIDW

Through didactic and simulation lab sessions, this course provides the student with knowledge and clinical skills for physical and pelvic assessment of individuals across the reproductive lifespan. Foundational concepts of autonomy, empowerment, equity, justice and respect are emphasized to foster the development of skills needed to perform person-centered, physical and pelvic assessment

• Department: Nursing
• W 9 a.m.-11:50 a.m.
• 2 points

International Seminar: Tel Avi

Next to Silicon Valley, Israel is the best place for an on-site study tour of technology entrepreneurship. Much of Israel’s technology community is concentrated in a small area populated by engineers, scientists and business people who are energetic, hospitable and happy to share their experience.
This study tour offers an intense exposure to technology and technology entrepreneurship in a unique environment that has been a fertile ground to multiple successful ventures, with many more in the pipeline. The study tour may well be the EMBA class with the strongest impact on your career.
The week in Tel Aviv will expose you to one of the world’s most vibrant tech communities which thrives although it is geographically distant from its main markets and funding sources.
At the end of the week you will be able to form your own views about the drivers of Israel’s tech success and its likely future curse. You will establish familiarity with that unusual culture with which you may find yourself doing business in the future. Moreover, you’ll take away invaluable general insights to guide you in your own career.
Competing for your attention will be Tel Aviv itself. The town’s sidewalks are lined with crowded cafes. It has a lively night scene with pubs, bars and clubs that keep their doors open until the early morning hours. It stretches along the Mediterranean’s sandy beaches where the water is pleasantly warm, swimmable year round. In short, Tel Aviv is a young person’s heaven.

• Department: Business
• Instructor: Gur Huberman
  h-index: 35 Info
• 3 points

Acute Care Simulation for the AG-ACNP

ACUTE CARE SIM FOR THE AG

This simulation course engages the AG-ACNP student in a variety of controlled practicum scenarios. The course offers the AG-ACNP student a simulated clinical environment and allows for integration of previous didactic and clinical knowledge to develop complex decision making skills

• Department: Nursing
• 1 points

DOCTORAL FIELD WORK

Fieldwork is integral to the academic preparation and professional development of doctoral students. This course provides the academic framework for fieldwork experience required for the student’s program of study. Fieldwork documentation and faculty adviser approval is  required prior to registration. A final written report must be submitted. This course will count toward  the degree program and cannot be taken for pass/fail credit or audited. With approval from the department chair or the doctoral program director, doctoral students can register for this course at most twice. In rare situations, exceptions may be granted by the Dean's Office to register  for the course more than twice (e.g., doctoral students funded by industrial grants who wish to  perform doctoral fieldwork for their corporate sponsor). The doctoral student must be registered for  this course during the same term as the fieldwork experience.

• Department: Engineering
• Instructor: Alexis R Moore
  Info
• 1 points

Financial Planning & Analysis

This course explores the use of financial information for internal planning, analysis, and decision-making. The main objective of the course is to equip you with the knowledge to understand, evaluate, and act upon the many financial and non-financial reports used in managing modern firms.
Managing any modern firm requires information about the firm’s products, processes, assets, and customers. This information is a key input into a wide range of decisions: analyzing profitability of various products, managing product-line portfolios, setting prices, measuring and managing profitability of customers, making operational and strategic decisions, evaluating investments, guiding improvement efforts, and so on.
The focus of this course is on modern internal-reporting systems. We will discover that many firms do not provide their managers with useful information; we will see numerous examples of value destruction and bankruptcies caused by this. We will also investigate some modern ideas in how an organization’s internal information system should be designed to enhance value creation; and we will see how world-class firms take advantage of their competitors’ internal-reporting mistakes.
To attain the right level of understanding, we will briefly explore the mechanics of the many techniques used to prepare internal reports. But the emphasis in this course is very much on interpretation, evaluation, and decision-making.
We will examine the following key topics:
Designing managerial information systems to support an organization’s strategy.
Determining which financial and non-financial metrics are necessary for success in various competitive environments.
Evaluating profitability of products, services, assets, and customers.
The capabilities and the limitations of various reporting systems in guiding value-maximization, cost-control, and improvement efforts.
The limitations of traditional cost-estimation systems.
Activity-based costing and activity-based management.
Estimating and managing the costs of capacity resources.
Relevant costs and relevant revenues in business decisions.
The information necessary to evaluate long-term business decisions.
The incentives created by various performance-evaluation techniques.

• Department: Accounting (ACCT)
• W 6 p.m.-9:15 p.m.
• Instructor: Igor Vaysman
  Info
• 1.5 points

Financial Statement Analysis a

This course will provide students with hands-on experience analyzing financial statements. Students will learn about the general tools, theoretical concepts, and practical valuation issues of financial analysis. By the end of the course, students should be comfortable using firms' financial statements (along with other information) to assess firm performance and make reasonable valuation estimates.
Course content and organization In the first half of the course, we will develop a valuation framework that integrates a firm’s strategy, its financial performance, and the credibility of its accounting. The framework consists of the following steps:
1. Understand the firm’s strategy. We will assess the firm’s value proposition and identify its key value drivers and risks.
2. Accounting Analysis. We will assess earnings quality and evaluate whether the firm's accounting policies capture the underlying business reality. If not, we will adjust the accounting to eliminate GAAP issues and management biases.
3. Financial Analysis. We will evaluate current performance with accounting data and financial ratios.
4. Prospective Analysis: Forecasting. We will assess whether current firm performance is sustainable, and we will forecast future performance. In our forecasts, we will consider growth, profitability, and future competitive advantage.
5. Prospective Analysis: Valuation. We will convert our forecasts of future earnings and book values into an estimate of the firm’s current value.
In the second half of the course, we will apply the above framework to a variety of business valuation contexts, including IPOs, mergers, and equity-investment analyses.

• Department: Accounting (ACCT)
• MTWRF 9 a.m.-5:30 p.m.
• Instructor: Benjamin Segal
  Info
• 3 points

MASTER CLASS

• Department: Executive Classes in HPM
• Instructor: Rebecca R Sale
  Info
• 3 points

MASTERS THESIS

Research in an area of mechanical engineering culminating in a verbal presentation and a written thesis document approved by the thesis adviser. Must obtain permission from a thesis adviser to enroll. Recommended enrollment for two terms, one of which can be the summer. A maximum of 6 points of master’s thesis may count toward an M.S. degree, and additional research points cannot be counted. On completion of all master’s thesis credits, the thesis adviser will assign a single grade. Students must use a department-recommended format for thesis writing.

• Department: Mechanical Engineering
• Instructor: Jeffrey W Kysar
  CULPA: 9 h-index: 37 Info
• Instructor: Matei T Ciocarlie
  Info
• Instructor: Hod Lipson
  Wikipedia h-index: 79 Info
• 1-3 points

TUTORIAL GENERAL PUBLIC HEALTH

• Department: General Public Health
• Instructor: John C Rausch
  Info
• 0-6 points

Business Analytics II (Full Term)

Business Analytics II (FT

This course extends and deepens the material you learned in business analytics. We will apply these methods in more unstructured and diverse situations, introduce new analytics tools and methods (including Tableau Visualization, text mining, and random forests), and study a modern framework for overfitting reduction called regularization that underlies much of modern machine learning. This course does not require coding or knowledge beyond Business Analytics, but the mathematical sophistication level will be somewhat more advanced.

• Department: Decision, Risk and Operations
• MTWRF 9 a.m.-5 p.m.
• Instructor: Charles R Guetta
  Info
• 3 points

Advanced Pharmacology

ADVANCED PHARMACOLOGY

The goals of this course are to provide students with a knowledge and understanding of the actions of drugs in order to enable them to use therapeutic agents in a rational and responsible manner in patients. Initially, basic principles of pharmacology will be reviewed (from N5375 course), including absorption, distribution, metabolism, and excretion of drugs by the body. Drug-receptor interactions will also be presented and illustrated with appropriate examples. The focus of these lectures will be case-based whenever possible to demonstrate the therapeutic application of these pharmacologic principles and how this translates into efficacy and potential toxicity.

• Department: Nursing
• TR 4 p.m.-5:50 p.m.
• 3 points

Operations Strategy

A firm's operations encompass all the activities that are performed in order to produce and deliver a product or a service. An operations strategy refers to a set of operational decisions that a firm makes to achieve a long-term competitive advantage. These decisions may be about the firms facilities, its technology/process choices, its relationships with both upstream and downstream business partners etc. The goal of this course is to provide students with an understanding of how and why operational decisions are integral to a firms success. The course builds on concepts from the core Operations Management course and the core Strategy Formulation course. It is highly relevant to anyone whose work requires the strategic analysis of a firms operations, including those interested in consulting, entrepreneurship, mergers and acquisitions, private equity, investment analysis, and general management. The course consists of four modules. The first module, Strategic Alignment," explores the question of how a firms operations should be structured so as to be consistent with the firms chosen way to compete. The second module, "Firm Boundaries," considers the question of what operational activities should remain in house and what should be done by a business partner and the long-term implications of these decisions on competitive advantage. This module also addresses the issue of managing the business relationships with supply chain partners. The third module, "Internal Operations," considers key decision categories in operations, e.g., capacity decisions, process choices, IT implementation, and managing networks, and shows how these decisions can lead to distinctive capabilities. The final module, "New Challenges," is set aside to address new topics that reflect the current trends in the business environment."

• Department: Decision, Risk and Operations
• MTWRU 9 a.m.-5 p.m.
• Instructor: Medini Singh
  Info
• 3 points

Capstone One Portfolio

• Department: Rehabilitation Medicine (RMED)
• Instructor: Razan Hamed
  h-index: 8 Info
• 3 points

SYSTEMATIC REV & META-ANALYSIS

• Department: Biostatistics
• MTWRF 11 a.m.-4 p.m.
• 1.5 points

Capstone 3

• Department: Rehabilitation Medicine (RMED)
• Instructor: Tyra M Banks
  Info
• Instructor: Annamaria Norweg
  Info
• 3 points

WRITING FOR PUBLICATION

• Department: Rehabilitation Medicine (RMED)
• Instructor: Danielle J Mahoney
  Info
• Instructor: Katherine Dimitropoulou
  Info
• Instructor: Julia Guzman
  Info
• Instructor: Tyra M Banks
  Info
• Instructor: Razan Hamed
  h-index: 8 Info
• Instructor: Annamaria Norweg
  Info
• Instructor: Dawn Nilsen
  Info
• 1 points

Psychopharmacology for the Advanced Prac

PSYCHOPHARMACOLOGY FOR AP

This course is designed to build upon prior pharmacologic study to address advanced concepts in the clinical management of psychiatric symptoms. Students will critically analyze psychotropic interventions including but not limited to mechanisms of action, indications of use, dosing, side effects, drug-drug interactions, contraindications, and patient education. The use of psychotropic agents and complementary alternative medicine in relation to possible differential diagnoses is considered. Appropriate treatment across the patient lifespan, concurrent pathophysiology, chronic and acute medical conditions, multicultural influences, political and socioeconomic circumstances are also addressed.

• Department: Nursing
• W 4 p.m.-6:50 p.m.
• Instructor: Julie Durand
  Info
• 3 points

ANALYSIS OF CATEGORICAL DATA

• Department: ONLINE MS IN EPIDEMIOLOGY
• Instructor: Naitee Ting
  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
• MTWRU 9 a.m.-5 p.m.
• Instructor: Mark N Broadie
  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
• FM 6 p.m.-9:15 p.m.
• 1.5 points

WRITE-SUCCESSFL NIH GRANT APPLC

• Department: Biostatistics
• 1 points

Theoretical Statistics

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• Department: Statistics
• MTWRF 9 a.m.-11 a.m.
• MTWRF 3:30 p.m.-4:45 p.m.
• Instructor: Bodhisattva Sen
  h-index: 24 Info
• 3 points

ECONOMICS OF STRATEGIC BEHAVIOR

This course examines the underlying economics of successful business strategy: the strategic imperatives of competitive markets, the sources and dynamics of competitive advantage, managing competitive interactions, and the organizational implementation of business strategy.
The course combines case discussion and analysis (approximately two thirds) with lectures (one third). The emphasis is on the ability to apply a small number of principles effectively and creatively, not the mastery of detailed aspects of the theory. The course offers excellent background for all consultants, managers and corporate finance generalists.

• Department: Business Economics
• MTWRF 9 a.m.-5 p.m.
• Instructor: Wouter Dessein
  h-index: 16 Info
• 3 points

Decision Analysis and Cost Effectiveness

DEC ANAL & COST EFFECT HL

The course is an introduction to the concepts, methods, and application of decision analysis and economic evaluation of healthcare programs. In particular, the course focuses on the foundations and construction of cost-effectiveness analyses as well as the interpretation and critique of cost-effectiveness literature. Students will gain hands on experience using both Excel and TreeAge Pro to conduct decision analytic models.

• Department: Health Policy & Management
• 2 points

Principles and Practice of Nurse Anesthe

PRIN & PRAC NURSE ANES II

This is the second of four didactic courses that discuss techniques for anesthetic administration and related technologies in the context of various surgical and diagnostic interventions in diverse anesthetizing locations. Focus is assessment and management of monitoring modalities and other techniques in the perioperative environment. Cultural humility will be incorporated into care plans to develop anesthetic management individualized to patient identities and cultures while including an emphasis on social and cultural health disparities.

• Department: Nursing
• W 8 a.m.-11:50 a.m.
• Instructor: Maribeth L Massie
  Info
• 3 points

Principles and Practice of Nurse Anesthe

PRIN & PRAC NURS ANES LAB

This lab is the second of three lab/simulation courses. Focus is placed upon essential technology and procedures utilized in the management of the patient during the preoperative, intraoperative, and the postoperative period. The course activities promote a synthesis of lecture content obtained in the Principles & Practice of Nurse Anesthesia II course. Lab/simulation experiences will develop the psychomotor skills and critical thinking inherent to the practice of nurse anesthesia. Specific procedural skills must be safely demonstrated. Cultural humility will be incorporated into care plans and simulations to develop anesthetic management individualized to patient identities and cultures while including an emphasis on social and cultural health disparities.

• Department: Nursing
• W 1 p.m.-5 p.m.
• Instructor: Christian Cansino
  Info
• 2 points

STATISTICS INTERNSHIP ELECTIVE

n/a

• Department: Statistics
• Instructor: Tian Zheng
  CULPA: 13 Wikipedia h-index: 25 Info
• 3 points

CAPITAL MARKETS & INVESTMENTS

This is a first course in capital markets and investments. The course has three principal goals: To introduce the principles of asset valuation from an applied perspective. The majority of the class is concerned with the valuation of financial securities. The valuation issues to be discussed are heavily used in portfolio management and risk management applications. To introduce the following concepts: Arbitrage. The term structure of interest rates. Portfolio theory, risk-control, and diversification. Equilibrium asset pricing models; the CAPM. Efficient and inefficient markets. Performance evaluation. Pricing and hedging basic derivative securities (futures and options) To provide sufficient background knowledge for students seeking an overview of capital markets and an introduction to advanced finance courses.

• Department: Finance
• FMW 8:30 a.m.-11:45 a.m.
• FMW 2 p.m.-5:15 p.m.
• Instructor: Mahadevan S Sundaresan
  Info
• 3 points

Advanced Corporate Finance

Advanced Corporate Finance develops the art and science of optimal strategic decision-making by applying corporate financial theory to cases of financial policy, financial instruments and valuation. In particular, the following topics are studied: cost of capital and capital budgeting, discounted cash flow valuation and financial multiples, payout policy, equity and debt financing, option pricing theory and applications, corporate control and recapitalizations. The classes are structured to maximize the synergy between theory and practice, providing students portable, durable and marketable tools for their internships and careers.

• Department: Finance
• FMW 2 p.m.-5:15 p.m.
• Instructor: John Moon
  Info
• 3 points

PHYSICAL MODALITIES

The content of this course focuses on safe and appropriate applications of physical modalities in physical therapy practice. This course is designed to provide students with a theoretical knowledge base and the psychomotor skills required for the therapeutic application of commonly used physical modalities in a safe and appropriate manner. Clinical reasoning will be fostered through lectures, group discussions, hands-on laboratory activities, and case studies. Students will be expected to apply information from previous coursework in a relevant manner to critically analyze a variety of clinical scenarios.

• Department: Physical Therapy
• 1 points

SOFT TISSUE MOBILIZATION

This course provides the basic principles of and evidence supporting several forms of soft tissue mobilization. Great emphasis is placed on the development of manual skills required to perform safe and effective soft tissue interventions in the clinical setting.

Students in this course will develop knowledge of and skills in performing soft tissue interventions used in physical therapy for upper-extremity, lower-extremity, and trunk dysfunctions. The basic physiologic principles and the evidence-base supporting varying soft tissue interventions will be presented and discussed as will the clinical decision making that leads to appropriate integration of soft tissue interventions into the plan of care for the individual patient/client. Significant laboratory time will be spent and particular emphasis will be placed on developing manual skills to perform safe, effective, and professional soft tissue interventions in a clinical setting

• Department: Physical Therapy
• 2 points

Mergers & Acquisitions

This course is designed to be an applications oriented course and will draw heavily upon real world change of control case studies. The course builds on the prior courses in corporate finance. The course will not introduce significantly new finance principles or analytical techniques other than those to which the student has been exposed to previously in the prerequisite introductory courses in finance at Columbia. The course will seek to apply basic finance principles and analytical techniques to actual problems likely to be encountered by senior management of major corporations or those who are the advisors to such management in the context of an M&A transaction. At the conclusion of the course, the student will have gained an appreciation for the role M&A plays on today's corporate landscape and have formed an opinion as to whether or not an M&A transaction makes sense" for the firm. The student should expect at the conclusion of this course to have gained a level of competency in M&A commensurate with an entry-level investment banking associate in M&A. Whether or not the student "practices" M&A, the course will afford the student with an insider's look into what is an undeniable major force on today's corporate landscape. Accordingly, students who are interested in investment banking, consulting, equity research, corporate development, corporate lending, strategic planning, private equity, leveraged finance, or proprietary trading many wish to consider this course."

• Department: Finance
• MTWRU 9 a.m.-5 p.m.
• Instructor: Donna M Hitscherich
  Info
• 3 points

Real Estate Finance

The course focuses on the set of concepts and techniques used to analyze and finance income-producing real property. It starts with the characteristics that make real property different, including cash flow uncertainties, debt sources and tax features. It then considers the available strategies and structures of real estate finance, including capital structure choices for construction and permanent financing. Extensive use is then made of cases to illustrate the range of choices and outcomes.

• Department: Finance
• TR 8:30 a.m.-11:45 a.m.
• Instructor: Stijn G Van Nieuwerburgh
  Info
• 3 points

Real Estate Finance

The course focuses on the set of concepts and techniques used to analyze and finance income-producing real property. It starts with the characteristics that make real property different, including cash flow uncertainties, debt sources and tax features. It then considers the available strategies and structures of real estate finance, including capital structure choices for construction and permanent financing. Extensive use is then made of cases to illustrate the range of choices and outcomes.

• Department: Finance
• TR 8:30 a.m.-11:45 a.m.
• Instructor: Stijn G Van Nieuwerburgh
  Info
• 3 points

ENTREPRENEURL FINANCE

What is entrepreneurial finance? In short, it is a course designed to learn how to evaluate, finance, and capitalize on new business opportunities. More generally, we know that finance studies valuation and the allocation of resources under uncertainty. Indeed, fundamental topics in finance (e.g., valuing cash flows, assessing the cost of capital, choosing among suppliers of funds, and aligning incentives for value maximization) are as important for entrepreneurial firms as for more established firms. However, the capital market for financing entrepreneurial activities, and private equity investing more generally, differs fundamentally from capital markets considered in standard corporate finance. New and growing firms likely to have less information about their future prospects. Investments in private companies are also often illiquid and under-diversified, hence difficult decisions about financial contracting have to be made.

• Department: Finance
• MTWRF 9 a.m.-5 p.m.
• 3 points

Clinical Seminar in Women's Health

CLIN SEMIN WOMEN'S HEALTH

Clinical seminar in Women's Health is designed to provide the Women's Health Subspecialty student with an opportunity to expand on clinical practicum experiences via case presentation and faculty led group clinical discussion. Each student will present a case chosen from the women's health practicum experience. The presenting student will lead a class discussion based on their case facilitated by the course instructor. Some seminar sessions will include a didactic component presented by the course instructor to further elaborate on clinical issues presented in the cases over the course of the semester.

• Department: Nursing
• Instructor: Adena Bargad
  Info
• 1 points

PRINS/EPID III:DATA ANALY/EPID

• Department: Epidemiology
• TR 1 p.m.-3:50 p.m.
• Instructor: Jeanine Genkinger
  h-index: 36 Info
• 3 points

Foundations of VC

The course is very experiential. Learnings will be applied to companies that are currently fundraising and you will assess each company as if you were considering investing. There will be 2-3 guest lecturers (in addition to the startup pitches) from experts in the ecosystem so students get a varied perspective. Real company info will be shared in this class. As a result, class slides will be handed out in class but not shared electronically and class sessions will not be recorded.

• Department: Finance
• R 9 a.m.-1 p.m.
• Instructor: Angela W Lee
  Info
• 1.5 points

Essential Antepartum Care

ESSENTIAL ANTEPARTUM CARE

This course provides the graduate midwifery student with theoretical knowledge and practical skills for the antepartum period emphasizing essential physiology and management within the context of social and reproductive justice.

• Department: Nursing
• T 1 p.m.-3:50 p.m.
• 2 points

Essential Sexual and Reproductive Health

ESSNTL SEXUAL & REPR HLTH

This course addresses sexual and reproductive health issues and the diagnosis and management of essential health conditions.  Measured outcome disparities and social justice issues will be presented as they relate to sexual and reproductive health.

• Department: Nursing
• W 1 p.m.-3:50 p.m.
• 2 points

Practicum in Women's Health

PRACTICUM IN WOMEN'S HEAL

This class builds upon the principles learned in the two foundational courses of the subspecialty in Women’s Health: Comprehensive Women’s Health and Advanced Care for the Childbearing Year. The student will perform and document women's health and/or antepartum physical exams in both laboratory practice and clinical settings focusing on health promotion and maintenance.

• Department: Nursing
• Instructor: Adena Bargad
  Info
• 1-2 points

Clinical Practicum in Nurse-Midwifery

CLIN PRAC IN NURSING MIDW

Nurse-Midwifery services provide intensive clinical experience in all areas of nurse-midwifery practice. Direct student teaching is provided by nurse-midwifery preceptors affiliated with the program.

• Department: Nursing
• 6 points

INTRO TO ADV EPI METHODS

This is a 1.5 credit course designed for students who have successfully completed the Columbia Summer Research Institute (CSRI) program which provides an introduction to the conceptual foundation and application of advaned epidemiologic analysis methods. The course will take place over five 4-hour sessions conducted on Zoom. Each session will cover multiple analysis topics and will begin with a lecture introducing the analysis methods including descriptions of their relationship to causal inference and a discussion with examples of the types of study designs and data the methods can be used with. Following the lecture will be a lab session in which students will use SAS to conduct exercises to give them hands on experience implementing the anlytic techniques (datasets and example code will be provided). Lab sessions will include individual and breakout group work. Assignments will include readings, labs (which will not be graded), short quizes on the analysis methods, assignments and a final project in which students will develop an analytic plan, conduct a data analysis ans present findings (students can use their own or a course-provided dataset).

• Department: Epidemiology
• R 9 a.m.-12:30 p.m.
• 1.5 points

PRESENT/VISUALIZING EPID DATA

• Department: ONLINE MS IN EPIDEMIOLOGY
• Instructor: Thelma Mielenz
  Info
• 3 points

Independent Study in Nurse-Midwifery

IND STUDY NURSE MIDWIFERY

• Department: Nursing
• Instructor: Rebekah L Ruppe
  Info
• 1-8 points

COGNITIVE ASSESSMENT AND INTERVENTION

• Department: Rehabilitation Medicine (RMED)
• Instructor: Glen Gillen
  Info
• 3 points

Analysis of Large-Scale Data

• Department: Health Policy & Management
• T 9 a.m.-5 p.m.
• Instructor: Zohn Rosen
  Info
• 3 points

METHODS OF TEACHING

• Department: Rehabilitation Medicine (RMED)
• Instructor: Rochelle Mendonca
  Info
• 3 points

GOVERNANCE,HEALTH LAW & ETHICS

Prerequisites: P6530 or equivalent For more detailed course information, please go to Mailman School of Public Health Courses website at http://www.mailman.hs.columbia.edu/academics/courses

• Department: Health Policy & Management
• MW 5:30 p.m.-8:20 p.m.
• 1.5 points

HEALTHCARE MARKETING

• Department: Health Policy & Management
• W 5:30 p.m.-8:20 p.m.
• Instructor: John Winkleman
  Info
• 1.5 points

HUMAN RESOURCES MANAGEMENT

• Department: Executive Classes in HPM
• Instructor: Daniel Altchek
  Info
• 1.5 points

ANLYTC&MNGR DECISION MAKING II

This is a Public Health Course. Public Health classes are offered on the Health Services Campus at 168th Street. For more detailed course information, please go to Mailman School of Public Health Courses website at http://www.mailman.hs.columbia.edu/academics/courses

• Department: Health Policy & Management
• MR 5:30 p.m.-8:20 p.m.
• Instructor: Kai Ruggeri
  h-index: 22 Info
• 3 points

HEALTHCARE FINANCE

• Department: Executive Classes in HPM
• Instructor: Julius L Chen
  Info
• 3 points

HEALTHCARE FINANCE

This is a Public Health Course. Public Health classes are offered on the Health Services Campus at 168th Street. For more detailed course information, please go to Mailman School of Public Health Courses website at http://www.mailman.hs.columbia.edu/academics/courses

• Department: Health Policy & Management
• MR 5:30 p.m.-8:20 p.m.
• Instructor: Julius L Chen
  Info
• 3 points

HEALTH INNOVATION & TECHNOLOGY

• Department: Health Policy & Management
• R 5:30 p.m.-8:20 p.m.
• Instructor: Darryl S Hollar
  Info
• 1.5 points

APPLIED ANALYSIS OF COMPLEX SURVEY DATA

APP ANALYSIS COMPL SURVEY

• Department: Health Policy & Management
• TR 10 a.m.-4 p.m.
• 1.5 points

Independent Study in Psychiatric Mental

IND STUDY IN PSYCH NURSIN

This independent study in PMH is designed to provide an opportunity for students to be mentored in their exploration of a topic of their choice in the area of psychiatry. Students are required to develop a focus for their study, followed by a thesis statement, outline, and literature review. Students may present an annotated literature review or a brief paper (3-5 pages) as their completed project.

• Department: Nursing
• Instructor: Laura Kelly
  Info
• 1-8 points

Interprofessional Collaborative Practice

INTERP COLL PRACT T-I CAR

This is a year-long elective course sequence required for Behavioral Health Workforce Education Training (BHWET) interns. The purpose of the seminar is to provide students with enriched educational, training and career development opportunities focused on interprofessional practice, assessment of violence and trauma focused cognitive behavioral techniques. Over the course these 3 semesters, students will gain proficiency in evidence-based methods of trauma informed care, understanding the short and long term consequences of violence and other forms of trauma, and assess for the impact of trauma on well-being and rehabilitation. Didactic, experiential, and simulation training will be made available to enhance participation and learning. Students will gain an understanding of the role of the interprofessional behavioral health team and their individual contributions and therapeutic modalities. At the end of the course sequence, students will be prepared to meet behavioral health needs in varied settings across the life span.

• Department: Nursing
• 0 points