Data Analysis for Policy Research Using
Data Analysis Using R
This course will develop the skills to prepare, analyze, and present data for policy analysis and program evaluation using R. In Quant I and II, students are introduced to probability and statistics, regression analysis and causal inference. In this course we focus on the practical application of these skills to explore data and policy questions on your own. The goal is to help students become effective analysts and policy researchers: given available data, what sort of analysis would best inform our policy questions? How do we prepare data and implement statistical methods using R? How can we begin to draw conclusions about the causal effects of policies, not just correlation? We’ll learn these skills by exploring data on a range of policy topics: COVID-19 cases; racial bias in NYPD subway fare evasion enforcement; the distribution of Village Fund grants in Indonesia; US police shootings; wage gaps by gender/race; and student projects on topics of your choosing.
- Department: International and Public Affairs
- T 11 a.m.-12:50 p.m.
- T 2:10 p.m.-4 p.m.
- R 11 a.m.-12:50 p.m.
- R 4:10 p.m.-6 p.m.
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Instructor:
Harold B Stolper
Info - 3 points
ADV TPC:ROBOTICS/MECH SYNTHES
ADVANCED TOPICS IN ROBOTICS
Recommended: MECE E3401 or instructor’s permission. Kinematic modeling methods for serial, parallel, redundant, wire-actuated robots and multifingered hands with discussion of open research problems. Introduction to screw theory and line geometry tools for kinematics. Applications of homotopy continuation methods and symbolic-numerical methods for direct kinematics of parallel robots and synthesis of mechanisms. Course uses textbook materials as well as a collection of recent research papers.
- Department: Mechanical Engineering
- T 4:10 p.m.-6:40 p.m.
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Instructor:
Sunil Agrawal
Wikipedia h-index: 65 Info - 3 points
Pediatric Nurse Practitioner Clinical Pr
PNP CLINICAL PRACTICUM
This is the first clinical experience with pediatric patients for the PNP student. The student will be responsible for developing objectives and sharing them with the preceptor. The skills needed to obtain a good history and physical will be honed and further developed. When possible, the student will proactively seek opportunities to practice clinical skills of vision screening, hearing screening and venous access. The student will develop their skills in developmental and mental health screening.
- Department: Nursing
- 1 points
CONVEX OPTIMIZATION
Convex sets and functions, and operations preserving convexity. Convex optimization problems. Convex duality. Applications of convex optimization problems ranging from signal processing and information theory to revenue management. Convex optimization in Banach spaces. Algorithms for solving constrained convex optimization problems.
- Department: Industrial Engineering and Operations Research
- F 1:10 p.m.-3:40 p.m.
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Instructor:
Cedric Josz
CULPA: 2 h-index: 13 Info - 3 points
ROBOT LEARNING
Robots using machine learning to achieve high performance in unscripted situations. Dimensionality reduction, classification, and regression problems in robotics. Deep Learning: Convolutional Neural Networks for robot vision, Recurrent Neural Networks, and sensorimotor robot control using neural networks. Model Predictive Control using learned dynamics models for legged robots and manipulators. Reinforcement Learning in robotics: model-based and model-free methods, deep reinforcement learning, sensorimotor control using reinforcement learning.
- Department: Mechanical Engineering
- TR 1:10 p.m.-2:25 p.m.
- None None-None
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Instructor:
Matei T Ciocarlie
Info - 3 points
Environmental, Social & Governance Inves
Enviro, Soc & Gov Investment
ESG (Environmental, Social and Governance) investment addresses sustainability and ethical impact of investments. In this course, we cover the real reasons to introduce ESG investment and the emerging practices of ESG investment at private financial institutions and MDBs as navigators. Since the practice is still at the nascent stage, we will first learn from cases studies. We will identify the real reasons why each private financial institution started to apply ESG investment such as increasing their clients/customers satisfaction to maintain current fee system or recruiting smart millenniums, the relationship between the application of ESG investment and its impact on financial returns, how they are applying it including analytical frameworks and their challenges. We will also discuss where the practices of ESG investment at private financial institutions is heading. Additionally, we will understand the roles of MDBs has been playing such as 1) clarifying strategy of each country and navigate private investors to right areas, 2) standardization of ESG including defining green bonds, E&S performance standards including monitoring and 3) offering some blended finance and discuss what are working and where they face challenges.
- Department: International and Public Affairs
- M 11 a.m.-12:50 p.m.
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Instructor:
Keiko Honda
Info - 1.5 points
The Brazilian Political System
The largest, richest and most influential country in South America is also home to one of the world’s most complex political systems. A young democracy with notable recent achievements, including a stable currency, growing reserves, solid institutions and positive demographic shifts, Brazil is governed by a confusing multi-party system, opaque relationships between the private and public sector and little political representation. The Car-Wash operation, the world’s largest corruption investigation, has had a defining political impact, playing a role in the impeachment of President Dilma, the investigation of President Temer and the arrest of some of Brazil’s most powerful politicians and businessmen. We will examine the structure of the Brazilian political system, including political parties and pressure groups, as well as conjunctural analysis ahead of the 2018 presidential election.
- Department: International and Public Affairs
- TR 4:10 p.m.-6 p.m.
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Instructor:
Murillo de Aragao
Info - 1.5 points
LITERARY-CULTURAL HISTORY
AMER HIGHER ED:HIST & PROSPCTS
- Department: English and Comparative Literature
- T 6:10 p.m.-8 p.m.
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Instructor:
Andrew Delbanco
CULPA: 19
Wikipedia
Info
- 4 points
Techniques of Live Sound
ADV MIXED MUSIC COMPOSITI
This course explores both analogue and digital tools for the sound reinforcement of concerts in all formats. Through hands-on experience, the course addresses the impact and potential of contemporary tools on the aesthetic choices of musical projects. The course supports artists (performers, composers, improvisers, sounds artists, etc.) by providing a solid foundation and a working knowledge of live sound concepts in order to improve the realization of their creative audio work. A significant feature of the course is direct experience producing live concerts in order to fully understand the implications of the transition between the pre-concert studio preparation and live concert execution. Under the supervision of the instructor, students are expected to oversee the audio-related technical aspects of two to three music department events, including the doctoral composition work of the Columbia Composers concert series. Topics include the practice and theory behind analog and digital mixing, live sound processing, concert diffusion, spatial audio, sound reinforcement, mixed music techniques, concert recording, and efficient equipment set-up and tear-down. Please note that students must be available for two whole-day Saturday events whose dates will be determined and distributed by the instructor at the start of the semester.
- Department: Music
- M 9:30 a.m.-11:30 a.m.
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Instructor:
David Adamcyk
CULPA: 1 Info - 3 points
Emerging Financial Systems: Brazil, Mexi
Emerging Financial Markets
This course examines the workings of a select group of emerging financial systems, providing students with the tools to assess the efficacy of a financial system as pillar for a country’s sustained economic development and growth. Characteristics analyzed include the roles of domestic private, public sector and foreign banks, systemic resilience, market volatility and credit supply, access to foreign capital, depth of domestic capital markets, ESG developments and implications, and the ongoing impact of technological change on the domestic competitive dynamics of these financial systems. The course methodology is to select an important emerging financial system (Brazil) as anchor for comparisons with those of three other major emerging G-20 economies (Mexico, India and Indonesia).
- Department: International and Public Affairs
- M 4:10 p.m.-6 p.m.
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Instructor:
Fernando Sotelino
Info - 3 points
Macroeconometrics
The course aims to analyze dynamic, multivariate interactions in evolutionary and non-stationary processes. The course first considers stationary univariate time-series processes and then extend the analysis to non-stationary processes and multivariate processes. The course covers a review of linear dynamic time-series models and focus on the concept of cointegration, as many applications lend themselves to dynamic systems of equilibrium-correction relations. In the final analysis, the course is aimed at presenting a certain number of econometric techniques the mastery of which is becoming increasingly inevitable in professional circles.
- Department: International and Public Affairs
- T 4:10 p.m.-6 p.m.
- W 6:10 p.m.-8 p.m.
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Instructor:
Seyhan Erden
CULPA: 7
Info
- 3 points
COMM OUTREACH & ENGAGEMENT
- Department: Architecture, Planning and Preservation
- M 3 p.m.-5 p.m.
-
Instructor:
John T Reddick
Info - 3 points
PROJECT MANAGEMENT
- Department: Architecture, Planning and Preservation
- M 11 a.m.-1 p.m.
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Instructor:
Douglas Woodward
Info - 1.5 points
RESEARCH PROJECT
May be repeated for credit. A special investigation of a problem in nuclear engineering, medical physics, applied mathematics, applied physics, and/or plasma physics consisting of independent work on the part of the student and embodied in a formal report.
- Department: Applied Physics and Applied Mathematics
-
Instructor:
Kui Ren
CULPA: 2 Info -
Instructor:
Nanfang Yu
h-index: 48 Info -
Instructor:
Carlos Paz Soldan
h-index: 28 Info -
Instructor:
Gerald A Navratil
CULPA: 2 h-index: 46 Info -
Instructor:
Michael E Mauel
CULPA: 9
Info
-
Instructor:
Steven A Sabbagh
Info -
Instructor:
Yuan Yang
h-index: 49 Info -
Instructor:
Michal Lipson
CULPA: 1 Wikipedia h-index: 114 Info - 1-6 points
Empirical Econometric Project
This course aims to provide students with further instruction on how (1) to motivate detailed empirical analysis on a research question of their choice, (2) to justify and to design appropriate econometric tests using relevant time-series, cross-sectional, or panel data, etc., and (3) to draw accurate inferences—as well as direct policy implications—from their results for a wide audience. To meet this objective, the key course requirement is to write an empirical policy paper that details (1)–(3) in no more than 5000 words total (including exhibits, references, etc.), geared not for academics but for economic policymakers or other practitioners. Also, students will be required to report their findings to their instructor, advisors, and fellow students during 10- to 15-minute slide presentations toward the end of the semester.
- Department: International and Public Affairs
- M 6:10 p.m.-8 p.m.
-
Instructor:
John Benson Durham
Info - 1.5 points
Teaching Beyond the Gates: A Practicum o
Art Admin & Pedagogy Prac
The Writing Program has in place several programs that involve more than 70 students a term going beyond the Columbia gates to teach writing in community groups and schools. These programs include Columbia Artist/Teachers (CA/T), Our Word, The Incarcerated Artists Project (IAP), The Incarcerated Writers Initiative (IWI), as well as public programs on and off campus (including Lenfest) that are produced collaboratively. The diverse array of partner organizations (see attached)—curated to provide a multiplicity of teaching experiences as well as service to the community—require various modalities of pedagogy and administration. About 14 students (see attached) are in leadership positions, with dual responsibilities of working with the partner programs in structuring and troubleshooting programs while also supervising the MFA participants and providing pedagogical guidance. In effect, these leaders are acting as arts administrators, an experience that may be useful for them in pursuing post-MFA employment. The Writing Program’s Director of Community Outreach oversees these programs and student leaders on an ad hoc basis. The purpose of this no-credit, no-tuition course is to formalize faculty supervision and support for the Writing Program’s outreach component. The shape of this course will be mutable, tailored to the ongoing needs of the students, their partner organizations, and the Writing Program. Contact hours will comprise in-person meetings as well as emails and phone calls, focusing on: setting up and running programs and events, working collaboratively, implementing pedagogy, and troubleshooting. Student leaders will meet as a group with the instructor three times a term. Individuals leaders will meet with the instructor an additional minimum of twice a term. The CA/T Director and the instructor will meet about eight times a term.
- Department: Writing
-
Instructor:
Alan Ziegler
CULPA: 5
Info
- 0 points
EXT. FEDERAL COURT CLERK EDNY
- Department: Law
- R 6:20 p.m.-8:10 p.m.
- None None-None
-
Instructor:
Nicholas G Esq Garaufis
Info - 1 points
GOVERNANCE FOR INCLUSIVE CITIES IN GLOBA
- Department: Architecture, Planning and Preservation
- M 1 p.m.-3 p.m.
-
Instructor:
Bernadette V Baird-Zars
Info - 3 points
LEVEL II FIELDWRK: Mental Health
- Department: Rehabilitation Medicine (RMED)
-
Instructor:
Phyllis R Simon
Info - 0 points
EXTERNSHIP: COMMUNITY DEFENSE
- Department: Law
- W 5:10 p.m.-7 p.m.
- None None-None
-
Instructor:
Matthew Knecht
Info - 2 points
ALGEBRAIC NUMBER THEORY
Local and global fields, group cohomology, local class field theory, global class field theory and applications.
Politics and Policies in South Asia
Politics & Policies in S. Asia
This seminar is an advanced introduction to contemporary South Asia, one of the world’s most diverse regions. The course is open to SIPA students interested in the region, even if they do not have any prior background in South Asia. The readings will also cater to those students who know more about the region, but want to deepen their knowledge about predominant social, political, and economic issues in the politics and policymaking of South Asia. In this course we will look into various aspects of interaction of the state, society and market in South Asia with an aim to evaluate (a) how comparative social science illuminates South Asia and (b) how analysis of specific cases in South Asia contributes to general theorizing about politics. The focus of the course is analytical. We will use the South Asian experience to address some of the central questions in politics and policymaking.
- Department: International and Public Affairs
- M 2:10 p.m.-4 p.m.
-
Instructor:
Rumela Sen
CULPA: 1 Info - 3 points
EXT:FED CT CLERK SOUTHERN DNY
- Department: Law
- W 6:20 p.m.-8:10 p.m.
- None None-None
-
Instructor:
Paul B Radvany
Info - 1 points
LVL II FLDWRK B: Physical Disabilities
Level II FLDWRK B: PHYS D
- Department: Rehabilitation Medicine (RMED)
-
Instructor:
Phyllis R Simon
Info - 0 points
EXTERNSHIP:FED APPELLATE COURT
- Department: Law
- W 5:30 p.m.-7:20 p.m.
- None None-None
- 1-3 points
LEVEL II FLDWRK C: SPCL INT
- Department: Rehabilitation Medicine (RMED)
-
Instructor:
Phyllis R Simon
Info - 0 points
LEVEL II FIELDWORK
- Department: Rehabilitation Medicine (RMED)
-
Instructor:
Phyllis R Simon
Info - 0 points
TOPICS DATA-DRIVEN ANAL & COMP
Advanced Deep Learning
Selected advanced topics in data-driven analysis and computation. Content varies from year to year, and different topics rotate through the course numbers 6690 to 6699.
- Department: Electrical Engineering
- W 10:10 a.m.-12:40 p.m.
-
Instructor:
Zoran Kostic
CULPA: 1 h-index: 24 Info - 3 points
TOPICS DATA-DRIVEN ANAL & COMP
Deep Learning on the Edge
Selected advanced topics in data-driven analysis and computation. Content varies from year to year, and different topics rotate through the course numbers 6690 to 6699.
- Department: Electrical Engineering
- W 1:10 p.m.-3:40 p.m.
-
Instructor:
Zoran Kostic
CULPA: 1 h-index: 24 Info - 3 points
TOPICS DATA-DRIVEN ANAL & COMP
TPC: MATHEMATICS OF DEEP LEARN
Selected advanced topics in data-driven analysis and computation. Content varies from year to year, and different topics rotate through the course numbers 6690 to 6699.
- Department: Electrical Engineering
- W 4:10 p.m.-6:40 p.m.
-
Instructor:
Predrag R Jelenkovic
CULPA: 1 h-index: 35 Info - 3 points