ADVANCED SCIENTIFIC COMPUTING
- Department: Physics
- TR 4:10 p.m.-5:25 p.m.
-
Instructor:
Robert D Mawhinney
CULPA: 6 h-index: 49 Info - 3 points
CONDENSED MATTER PHYSICS II
- Department: Physics
- TR 4:10 p.m.-5:25 p.m.
-
Instructor:
Yasutomo Uemura
Info - 3 points
Internship Class - Fall Session
This seminar is designed to provide an in-depth experiential learning experience concurrent with students’ public health or healthcare management internship. The seminar provides a supportive framework designed to enhance students’ professional and leadership experience by exploring common themes encountered in the fieldwork setting. The seminar will address the public health core competencies of leadership, communications, cultural competence, and professionalism.
The semester will begin with discussion of students’ project sites including project overview, goals for the field work experience and anticipated challenges. Focusing on professionalism in the workplace, students will assess how the internship aligns with their overarching learning goals. Students will also gain insights into successful leadership styles and skills through the design and implementation of an in-depth interview of a professional in their chosen field, a panel discussion of alumni in the field, and by developing and practicing oral and written communication and negotiation skills.
Throughout the course, students will develop a presentation that both demonstrates and reflects upon knowledge acquired through the internship experience. The semester culminates with students presenting the highlights of their project work.
This course is only open to students who either: (a) are required to complete a practicum as part of their degree, and have already completed their required practicum experience, and who have an internship (in a different setting or with different learning goals than their practicum) during the fall semester of their final year of school; OR (b) are enrolled in a Master’s program which does not require a practicum, and would like to take part in an optional internship during the fall semester of their final year of school."
Course pre-requisites: Completion of APeX (if required) and have an internship (in a different setting or with different learning goals than their practicum or APeX) during the semester.
Required permissions: This course is only open to students who have already completed their required practicum/APeX experience (if required), and who have an internship (in a different setting or with different learning goals than their practicum) during the fall semester. Students must submit a letter from their employer to join the waitlist for this course.
- Department: Public Health
- F 11:30 a.m.-12:50 p.m.
-
Instructor:
Heather Krasna
h-index: 5 Info - 0.5 points
INDIV PROJECTS IN MUSICOLOGY
INDIV PROJECT IN MUSICOLOGY
Sec. 1: Ethnomusicology; Sec. 2: Historical Musicology; Sec. 3: Music Theory; Sec. 4: Music Cognition; Sec. 5: Music Philosophy.
- Department: Music
-
Instructor:
Susan Boynton
CULPA: 18 Info -
Instructor:
Alessandra M Ciucci
CULPA: 1 Info -
Instructor:
Joseph P Dubiel
CULPA: 3 Info -
Instructor:
Kevin Fellezs
CULPA: 4
Info
-
Instructor:
Aaron A Fox
CULPA: 7
Info
-
Instructor:
Giuseppe Gerbino
CULPA: 12
Info
-
Instructor:
Christopher J Washburne
CULPA: 31
Info
- 3 points
INDIV PROJECTS IN MUSICOLOGY
Sec. 1: Ethnomusicology; Sec. 2: Historical Musicology; Sec. 3: Music Theory; Sec. 4: Music Cognition; Sec. 5: Music Philosophy.
- Department: Music
-
Instructor:
Ruth Opara
Info - 3 points
Applied Regression I
APPLIED REGRESSION I
This course will provide an introduction to the basics of regression analysis. The class will proceed systematically from the examination of the distributional qualities of the measures of interest, to assessing the appropriateness of the assumption of linearity, to issues related to variable inclusion, model fit, interpretation, and regression diagnostics. We will primarily use scalar notation (i.e. we will use limited matrix notation, and will only briefly present the use of matrix algebra).
Healthcare Management, Design, and Strat
Healthcare Mgmt Design &
COURSE DESCRIPTION AND LEARNING OBJECTIVES
The U.S. healthcare system is an enormously complex, trillion-dollar industry, accounting for approximately 18% of GDP. The healthcare sector is vast and covers multiple different players from patients, providers, payors, to bio/pharma developers and innovators. Each part of the healthcare sector brings a different set of business challenges that touch on aspects from Finance, Marketing, Operations, Accounting, and more. The healthcare industry is going through a transformation with the development of new technologies, increased sophistication and adoption of electronic medical records systems and data collection architectures, and new models of the delivery of care and payment systems. This tremendous dynamism is unmatched by any other industry and offers incredible opportunities for new business endeavors. This course provides students the opportunity to learn about i) approaches to doing consulting; ii) key considerations diving strategic decision-making in the healthcare industry; and iii) the chance to put these concepts to practice by working on a set of company-sponsored applied projects. Student teams of 5-6 people, with 3-4 MBA (CBS) students and 1-2 medical (CUIMC) students, will work hand in hand with the instructors and company representatives to achieve company goals through the practical application of fundamental core business practices. Through these projects, students will be exposed to the unique challenges and opportunities in the healthcare sector. Some examples of potential projects include:
For a pharmaceutical company, evaluate the commercial potential of a new therapeutic class.
Evaluate and identify improvement opportunities in the patient evaluation process of a clinical unit at CUIMC. Redesign the standard workflow ad evaluate the financial and operational impact of these changes.
Utilize consumer predictive analytics to guide marketing strategies for a biotech device.
The scope of sponsoring companies spans large firms in biotech and pharmaceuticals, smaller startups in healthcare analytics and/or biotech, large provider systems, as well as smaller clinics. Companies provide the project scope and relevant data, faculty provides guidance on best practices, and your team will provide the answers.
Throughout this course, students will execute on a healthcare project to:
Use tools and ideas from operations, business analytics, finance, marketing, and strategy to solve interesting and exciting business proble
- Department: Decision, Risk and Operations
- T 6 p.m.-9:15 p.m.
- 3 points
ADVANCED TOPICS IN IEOR
Diffusion Models AI & RL
- Department: Industrial Engineering and Operations Research
- T 2:40 p.m.-5:10 p.m.
-
Instructor:
Xunyu Zhou
h-index: 54 Info - 3 points
ADVANCED TOPICS IN IEOR
Algo in a World of ML
- Department: Industrial Engineering and Operations Research
- TR 2:40 p.m.-3:55 p.m.
-
Instructor:
Clifford Stein
CULPA: 31 Wikipedia h-index: 53 Info - 3 points
ADVANCED TOPICS IN IEOR
MATCHING MARKETS & ALGORITHMS
- Department: Industrial Engineering and Operations Research
- MW 10:10 a.m.-11:25 a.m.
-
Instructor:
Yuri Faenza
h-index: 11 Info - 3 points
ADVANCED TOPICS IN IEOR
Comput. Social Choice
- Department: Industrial Engineering and Operations Research
- T 10:10 a.m.-11:25 a.m.
-
Instructor:
Jay Sethuraman
CULPA: 10 Info - 3 points
ADVANCED APPLICATION OF THEORY TO PRACT
- Department: Rehabilitation Medicine (RMED)
-
Instructor:
Scott G Rushanan
Info - 3 points
Gross Anatomy
This intensive 15-week course during the first semester 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
Master s Thesis in International Affai
Intl Affairs Thesis Prep
Available only to Master of International Affairs students.
The Thesis program is a rigorous, two-semester sequence that enables a select group of students to produce a substantive, publishable piece of original research or policy analysis. Designed for those seeking to strengthen their analytical, methodological, and writing skills, the program culminates in a thesis of at least 35 pages that may take the form of an academic journal article, a policy essay for a broader audience, or a research report suitable for a think tank. A small cohort is admitted each year, combining structured seminars with individualized faculty mentorship to guide students from proposal development through the completion and defense of their final thesis.
During the fall preparatory workshop, students refine their research questions, explore methodologies, and draft a formal thesis proposal under the supervision of the Thesis Advisor and a designated Faculty-Resource Person. Emphasis is placed on framing analytical questions, conducting research using primary and secondary sources, and understanding the role of digital tools, including responsible AI use.
- Department: International and Public Affairs
- W 1:10 p.m.-3 p.m.
-
Instructor:
Timothy Naftali
Info - 1.5 points
VISUAL ART LAB
- Department: Visual Arts
- F 1 p.m.-4 p.m.
-
Instructor:
Rirkrit Tiravanija
Wikipedia Info - 3 points
Business Analytics I (Full Term)
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
- R 9 a.m.-noon
-
Instructor:
Charles R Guetta
Info - 3 points
Modern Middle East: Themes in Current Re
This course is open to Ph.D. students and advanced M.A. students conducting research on
aspects of the modern, culture, politics, and history of the Middle East and adjacent regions. Its
temporal focus is the three centuries from roughly the mid-eighteenth to the mid-twentieth
century, but those whose research deals with other periods are welcome to participate.
The course has three aims. The first is to provide an opportunity to read and engage with some
of the more recent scholarship in the field, especially work published in the last ten years,
organized around several current academic debates. The second is to provide a seminar in
which those preparing a master’s paper, M.Phil. examination list, or Ph.D. prospectus, or a term
paper intended for conference presentation or publication, can develop and present a draft of
their work. We will choose readings to accompany each paper, focusing on recent scholarship
that informs or extends the issues addressed in the research. The course will enable students to
clarify and test the questions that shape their work and better situate them within current
scholarship. The third aim is to train students in the art of framing questions and shaping
debate for an advanced, reading-intensive graduate-level seminar.
The course is intended primarily for MESAAS students. Those from other departments are
welcome but require the permission of the instructor to enroll.
- Department: Middle Eastern, South Asian and African Studies
- T 4:10 p.m.-6 p.m.
-
Instructor:
Timothy Mitchell
Wikipedia h-index: 34 Info - 4 points
Advanced Pharmacology
ADVANCED PHARMACOLOGY
The goals of this course are to provide students with a basic 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. 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
- 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.
-
Instructor:
Marisa N Spann
Info - 0.5 points
Business Analytics II: Foundations of AI
Business Analytics II: AI
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
- W 2:20 p.m.-5:35 p.m.
- W 6 p.m.-9:15 p.m.
-
Instructor:
Charles R Guetta
Info - 1.5 points
NEUROSCIENCE AND COGNITION
- Department: Rehabilitation Medicine (RMED)
-
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.
- Department: Biostatistics
- MW 10 a.m.-11:20 a.m.
-
Instructor:
Zhezhen Jin
h-index: 51 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.
-
Instructor:
Arthur Jeff Goldsmith
Info - 3 points
SEM-HISTROCL MUSICLGY-BAROQUE
- Department: Music
- T 2:10 p.m.-4 p.m.
-
Instructor:
Giuseppe Gerbino
CULPA: 12
Info
- 3 points
Operations Strategy
- Department: Decision, Risk and Operations
- W 9 a.m.-12:15 p.m.
- W 2:20 p.m.-5:35 p.m.
-
Instructor:
Medini Singh
Info - 3 points
Case Based Application
- Department: Rehabilitation Medicine (RMED)
-
Instructor:
Daniel L Geller
Info - 1 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
- MW 10 a.m.-11:20 a.m.
-
Instructor:
Todd Ogden
Info - 3 points
Service Operations Management
- Department: Decision, Risk and Operations
- T 9 a.m.-12:15 p.m.
- T 2:20 p.m.-5:35 p.m.
- R 9 a.m.-12:15 p.m.
-
Instructor:
Medini Singh
Info - 3 points
Capstone One Portfolio
- Department: Rehabilitation Medicine (RMED)
-
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.
GROUP THEORY
- Department: Chemistry
- TR 2:40 p.m.-3:55 p.m.
-
Instructor:
Jack R Norton
CULPA: 6
Wikipedia
Info
- 2.5 points
Supply Chain Management
- Department: Decision, Risk and Operations
- M 9 a.m.-12:15 p.m.
- M 2:20 p.m.-5:35 p.m.
-
Instructor:
Nicole Dehoratius
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.
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
- F 10 a.m.-1 p.m.
- M 10 a.m.-1 p.m.
- W 9:30 a.m.-12:30 p.m.
-
Instructor:
David Klass
Info -
Instructor:
Blair Singer
Info -
Instructor:
Carter Bays
Info -
Instructor:
Matthew R Fennell
Info -
Instructor:
Blair Singer
Info - 3 points
SCENE STUDY
SCENE STUDY: THE GREEKS
- Department: Theatre Arts
- R 9 a.m.-1 p.m.
-
Instructor:
Brian Kulick
Info - 3 points
Commercial Society
Before capitalism, there was commercial society. This course examines European debates about commerce, luxury, and social organization from the late seventeenth through the late eighteenth centuries. We will survey a range of theoretical perspectives on the new forms of commercial sociability and political life emerging in Europe, whether triumphant, despairing, or ambivalent.
- Department: Political Science
- T 2:10 p.m.-4 p.m.
-
Instructor:
Daniel Luban
Info - 4 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:
Rochelle Mendonca
Info - 1 points
Applied Regression Analysis
- Department: Decision, Risk and Operations
- MW 10:50 a.m.-12:20 p.m.
-
Instructor:
Paul Glasserman
Info - 1.5 points
Leading Sustainable Operations
- Department: Decision, Risk and Operations
- M 6 p.m.-9:15 p.m.
-
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
- 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
- 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
- 3 points
Applied Physiology
This 16 week course during the first semester 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
Business Analytics III: Modern AI, Deep
Business Analytics III: A
- Department: Decision, Risk and Operations
- W 2:20 p.m.-5:35 p.m.
- W 6 p.m.-9:15 p.m.
-
Instructor:
Charles R Guetta
Info - 1.5 points
Transforming the Delivery of H
- 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.
ANALYSIS OF CATEGORICAL DATA
- Department: ONLINE MS IN EPIDEMIOLOGY
-
Instructor:
Tonguc Yaman
Info - 3 points
Humans, Animals and Machines
Political theory in the 21st century must address the role of non-humans and examine the traditional priority of human beings. What rights, if any, should animals and AI have and on what basis? Can we even say what it means to be distinctively human? Can that distinctiveness support consequential moral or political conclusions? Is there a clear basis for human or non-human equality which can ground rights or democratic institutions? Or must we find a post-humanist politics of some kind?
- Department: Political Science
- T 4:10 p.m.-6 p.m.
-
Instructor:
Joshua F Dienstag
Info - 4 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
- F 9 a.m.-12:50 p.m.
-
Instructor:
Elizabeth Hayes
Info - 2 points
ADV PARENT-INFANT PSYCHOTHERAPY
ADV PARENT-INFANT THERAPY
- Department: Psychoanalytic Center
-
Instructor:
Talia Hatzor
Info - 0 points
Statistical Methods for Causal Inference
Stat Mthds for Causal Inf
Substantive questions in empirical scientific and policy research are often causal. This class will introduce students to both statistical theory and practice of causal inference. As theoretical frameworks, we will discuss potential outcomes, causal graphs, randomization and model-based inference, causal mediation, and sufficient component causes. We will cover various methodological tools including randomized experiments, matching, inverse probability weighting, instrumental variable approaches, dynamic causal models, sensitivity analysis, statistical methods for mediation and interaction. We will analyze the strengths and weaknesses of these methods. The course will draw upon examples from social sciences, public health, and other disciplines. The instructor will illustrate application of the approaches using R/SAS/STATA software. Students will be evaluated and will deepen the understanding of the statistical principles underlying the approaches as well as their application in homework assignments, a take home midterm, and final take home practicum.
- Department: Biostatistics
- TR 10 a.m.-11:20 a.m.
-
Instructor:
Linda Valeri
h-index: 24 Info - 3 points
Intro to Biology Course (T3ST)
Test Course for Vergil Launch Demonstration
- Department: OFFC OF THE REGISTRAR
- MT 9 a.m.-noon
-
Instructor:
Faculty
h-index: 37 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.
-
Instructor:
Daniel S Malinsky
Info - 3 points
DIGITAL LITERACY-DECISION MKRS
- Department: Decision, Risk and Operations
- W 9 a.m.-12:15 p.m.
-
Instructor:
Marco A Morales Barba
Info - 1.5 points
Kinesiology & Biomechanics I
This is the first of a 2-part series. This is a comprehensive lecture/laboratory/seminar course in the first semester of the DPT curriculum which establishes foundational knowledge of normal 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 approach to human movement.
The course begins with an introduction to the mechanical properties of connective tissue and muscle mechanics. Essential principles of biomechanics including gravity, friction, leverage, composition and resolution of internal and external forces in movement production are presented. These topics are integrated into kinesiology survey 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. Pathological movement is introduced. The laboratory component highlights surface anatomy palpation with emphasis on structure identification, positioning, body mechanics and hand placement. Optional seminar classes are small group integrative discussion sessions in which students who wish to attend come with prepared questions on course material. Both lecture and laboratory incorporate observation and analysis of normal movement of the limbs and trunk, and selected examples.
- Department: Physical Therapy
- 4 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.
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.
-
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
- WF 2:10 p.m.-5 p.m.
-
Instructor:
Peter Fernandez
Wikipedia Info - 3 points
Sports Analytics
- Department: Decision, Risk and Operations
- MF 2:20 p.m.-5:35 p.m.
-
Instructor:
Mark N Broadie
Info - 3 points
Digital Health Startups
- 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
- Department: Decision, Risk and Operations
- W 2:20 p.m.-3:50 p.m.
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Instructor:
Mattan Griffel
Info - 1.5 points
Intro to Databases for Busines
- Department: Decision, Risk and Operations
- W 2:20 p.m.-3:50 p.m.
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Instructor:
Mattan Griffel
Info - 1.5 points
Antiquity in the Museum: Archaeology, Cu
The seminar introduces graduate students to works of ancient art and architecture held in museum collections. It explores the modern history of their study as antiquities, a category which required a detailed connoisseurship set within a framework of newly arising aesthetic and racial theories and classifications that accompanied imperial archaeological endeavour. The seminar’s focus is on Mesopotamian, Anatolian, Egyptian and Greek antiquities, as ancient works in their original context and as extracted objects that mark an imperial trail. Students will also be introduced to the development of archaeological field methods within the colonial context, and archaeology’s varied forms of visual documentation which became instrumental to imperial knowledge production: architectural and scientific illustrations, excavation images, and archaeological photography, and by the early twentieth century, the introduction of aerial photography as a way of visualizing sites and ruins. Taking ancient works and their display as a starting point, the seminar also explores the ways in which archaeology and the collecting of antiquities were inextricably linked to the technologies and economies of empire and colonialism. Reading and discussions include museum histories and theories of collecting, as well as the history and theories of archaeology and ancient art. Permission of the instructor is required before registration. Please submit a seminar application to the Department of Art History and Archaeology.
- Department: Art History and Archaeology
- W 4:10 p.m.-6 p.m.
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Instructor:
Zainab Bahrani
CULPA: 11
Wikipedia
Info
- 4 points
Introduction to Randomized Clinical Tria
INTRO TO RAND CLINICAL TR
Students in this course will learn and practice the fundamental methods and concepts of the randomized clinical trial: protocol development, randomization, blindedness, patient recruitment, informed consent, compliance, sample size determination, crossovers, collaborative trials. Each student prepares and submits the protocol for a real or hypothetical clinical trial.
- Department: Biostatistics
- W 4 p.m.-6:50 p.m.
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Instructor:
Alexia Iasonos
Info - 3 points
Strategic Negotiations
- Department: Decision, Risk and Operations
- R 2:20 p.m.-5:35 p.m.
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Instructor:
Harborne Stuart
h-index: 10 Info - 3 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 1 p.m.-2:50 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:
Beatriz Makhoulian
Info - 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.
ACTING TECHNIQUES
ACTING THROUGH SONG
- Department: Theatre Arts
- R 10 a.m.-1 p.m.
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Instructor:
Jenn Colella
Wikipedia Info - 3 points