GENDER JUSTICE
- Department: Law
- M 3:15 p.m.-6:15 p.m.
-
Instructor:
Katherine Franke
Wikipedia Info - 3 points
HEALTH POLICY-POLITICAL SYSTEM
- Department: Health Policy & Management
- M 1 p.m.-2:30 p.m.
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Instructor:
Lawrence D Brown
Info - 3 points
Using Big Data to Develop Public Policy
Big Data to Develop Pub Policy
Prerequisites: SIPA U6500 Data are a critical resource for understanding and solving public policy challenges. This course provides an applied understanding of data analytics tools and approaches to policy. This course is designed to bridge the gap between the statistical theory and real-world challenges of using data in public policy. The course leverages the DATA2GO.NYC data set. DATA2GO.NYC was developed with the intention of empowering community members to understand the areas in which they work, play, and live by providing open access to aggregated city data. You will use the data set to conduct the in-depth analysis of an issue and ultimately develop a policy proposal or policy evaluation.
- Department: International and Public Affairs
- T 6:10 p.m.-8 p.m.
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Instructor:
Francesco Brindisi
CULPA: 1 Info - 3 points
Basics of Cybersecurity
- Department: International and Public Affairs
- W 6:10 p.m.-8 p.m.
-
Instructor:
Colin Ahern
Info - 1.5 points
STEM CELL, GENOME ENG & REGEN MED
General lectures on stem cell biology followed by student presentations and discussion of the primary literature. Themes presented include: basic stem cell concepts; basic cell and molecular biological characterization of endogenous stem cell populations; concepts related to reprogramming; directed differentiation of stem cell populations; use of stem cells in disease modeling or tissue replacement/repair; clinical translation of stem cell research.
- Department: Biomedical Engineering
- R 1 p.m.-3 p.m.
- 3 points
CLINICAL REASONING I
- Department: Rehabilitation Medicine (RMED)
-
Instructor:
Jeffrey L Tomlinson
Info - 1 points
PLAYWRITING II
- Department: Theatre Arts
- W 2:10 p.m.-5 p.m.
-
Instructor:
Rogelio Martinez
Wikipedia Info - 3 points
FICTION LECTURE
LONG CENTURY SHORT NOVELS
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- Department: Writing
- W 10 a.m.-noon
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Instructor:
Joshua A Cohen
Wikipedia Info - 3 points
Intro to Infographics and Data Visualiza
Intro Infographics & Data Vis
This is a seven-week course that introduces students to design principles and techniques for effective data visualization. Visualizations graphically depict data to foster communication, improve comprehension and enhance decision-making. This course aims to help students: understand how visual representations can improve data comprehension, master techniques to facilitate the creation of visualizations as well as begin using widely available software and web-based, open-source frameworks.
- Department: International and Public Affairs
- R 6:10 p.m.-8 p.m.
-
Instructor:
Douglas Williamson
Info - 1.5 points
Data Driven Approaches for Campaigns and
Data Driven Approaches-Campaig
Prerequisites: Basic statistics and facility with spreadsheets This class will focus on the proper understanding and use of a wide range of tools and techniques involving data, analytics, and experimentation by campaigns. We will study evolutions and revolutions in data driven advocacy and campaigns, starting with polling and continuing through micro-targeting, random controlled experiments, and the application of insights from behavioral science. Our primary focus will be on developments in US political and advocacy campaigns, but we will also examine the uses of these tools in development and other areas. The course is designed to provide an informative but critical overview of an area in which it is often difficult to separate hype from expertise. The purpose of the course is to prepare students to understand the strengths and limitations of Big Data and analytics, and to provide concrete and practical knowledge of some of the key tools in use in campaigns and advocacy. Students will be expected to examine the use of data in practical case studies and distinguish between proper and improper uses.
- Department: International and Public Affairs
- M 2:10 p.m.-4 p.m.
- 3 points
HOSP ORGANIZATION/MANAGEM
- Department: Health Policy & Management
- W 10 a.m.-11:30 a.m.
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Instructor:
Donna Lynne
Wikipedia Info - 1.5 points
Text as Data
This course is an introduction to the quantitative analysis of text as data a rapidly growing field within the social sciences. The availability of textual data has grown massively in recent years, and so has the demand for skills to analyze it. Vast amounts of digital content are becoming increasingly relevant to various policy-relevant questions. For example, social media data are now commonly used to understand public opinion, engagement with politics, behavior during natural disasters, and even pathways to extremism; candidates' statements and rhetoric during elections are useful for estimating policy positions; and large amounts of text from news sources are used to document and understand world events. While the wealth of information in text data is incredible, its sheer size makes it challenging to summarize and interpret without quantitative methods. In this course, we will learn how to quantitatively analyze text from a social-science perspective. Throughout the course, students will learn different methods to acquire text, how to transform it to data, and how to analyze it to shed light on important research questions. Each week we will cover different methods, including dictionary construction and application, sentiment analysis, scaling and topic models, and machine learning classification of text. Lectures will be accompanied by hands-on exercises that will give students practical experience while working with real-world texts. By the end of the course, students will develop and write their own research projects using text as data.
- Department: International and Public Affairs
- R 2:10 p.m.-4 p.m.
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Instructor:
Tamar Mitts
h-index: 5 Info - 3 points
S. Rebuilding Government
S REBUILDING GOVERNMENT
- Department: Law
- M 5 p.m.-7 p.m.
-
Instructor:
Charles Sabel
Wikipedia h-index: 77 Info - 3 points
CLINICAL CONDITIONS
- Department: Rehabilitation Medicine (RMED)
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Instructor:
Daniel L Geller
Info - 4 points
Cyber Risks & Vulnerabilities
The purpose of this course is to familiarize SIPA students with the protocols and devices used in the function of the internet while focusing on the flaws and vulnerabilities. This course will approach each session in the following manner: discussion of the topic to include what the topic is and how it is used, vulnerabilities and specifically, and example, and will follow up with a video or other demonstration of a common hacker technique or tool to illustrate the problem so the students can better understand the impact. This course is intended to complement Basics of Cybersecurity with a tighter focus on specific vulnerabilities and how these can be exploited by hackers, criminals, spies, or militaries. This course is intended to be an introduction to cybersecurity and is thus suitable for complete newcomers to the area. It is a big field, with a lot to cover; however this should get students familiar with all of the basics. The class is divided into seven topics; the first five iteratively build on each other. Session six will look to future technologies. Session seven will challenge students to understand the authorities encountered and the friction between the authorities and agencies in responding to a cyber incident. Many cyber jobs are opening up with companies that need international affairs analysts who, while not cybersecurity experts, understand the topic well enough to write policy recommendations or intelligence briefs. Even if you don’t intend your career to focus on cyber issues, having some exposure will deepen your understanding of the dynamics of many other international and public policy issues.
- Department: International and Public Affairs
- W 4:10 p.m.-6 p.m.
- 1.5 points
Cybersecurity & Business Risk
This course will examine cybersecurity and threats in cyberspace as a business risk: that is, the potential and consequent magnitude of loss or liability arising from conducting business connected to the Internet. Many organizations have traditionally viewed cybersecurity as a technology problem, “owned” by the Information Technology department. However, doing business connected to the Internet can create non-technical problems: legal, regulatory, financial, logistical, brand or reputational, even health or public safety problems. Increasingly, organizations are treating cybersecurity and cyber threats in a broader manner, viewing cyber as a risk to be managed, and owned ultimately by the most senior ranks of corporate governance. An example might be a bank managing cyber operational risk similarly to managing credit and market risk. However, organizations continue to face challenges as they try to translate, measure, manage, and report a risk that is highly technical, and still somewhat foreign to most risk managers. The objective of this course will be to introduce you to basic concepts of cybersecurity and threats in cyberspace, and enable you to apply them to tools, techniques, and processes for business risk management. It assumes no technical knowledge of cybersecurity, nor a deep understanding of risk management. Students will learn about the basic principles of cybersecurity, the main actors in the business and regulatory spheres, and approaches to business risk management: how to understand, describe, measure, and report risk in a cybersecurity context. Students will also understand different models and approaches used by leading institutions in various industries, including the financial services sector, critical infrastructure providers, high-technology companies, and governments.
- Department: International and Public Affairs
- W 11 a.m.-12:50 p.m.
- 3 points
Social Innovation, Technology, & Public
Soc Innov, Tech, Pub Pol-Globa
In this course, students will analyze the following tools and their role in social innovation and policy change: artificial intelligence and machine learning, chatbots, social networks, online petitions, direct digital pressure, crowdfunding, crowdsourcing, e-participation, multi-agent systems, and digitally-driven phone-banking and blast-messaging. The focus will be via study of case-studies and stories of best practices, mainly from the Global South. The analysis of tools and case studies will be complemented by brief lectures from practitioners, followed by a dialogue between the instructor and the students on the current academic debate around these issues. The course will consist of seven sessions, divided into three overarching themes: Social Innovation as a replacement of government: how to adapt service provision to the digital age; Social Innovation as a collaboration with government: how to enhance civic participation through new methodologies and technologies; Social Innovation as a counter-power to government: how to use coordinated action to stop abuse of power. The purpose of the course is to help future policy makers, entrepreneurs, civic leaders, and designers understand how public policy can learn from new and effective examples of social innovation. In the process, students will be exposed to transdisciplinary concepts touching on the subjects of political science, sociology of science and technology, political philosophy, philosophy of information and technology. Theory will be balanced with practice and students will be provided a methodology for strategic thinking that combines a mix of design thinking, product development and start-up planning and iteration techniques.
- Department: International and Public Affairs
- T 9 a.m.-10:50 a.m.
-
Instructor:
Miguel Lago
Info - 1.5 points
HLTH CARE ACCOUNTING&BUDGETING
- Department: Health Policy & Management
- T 10 a.m.-11:30 a.m.
- W 5:30 p.m.-7 p.m.
-
Instructor:
Jonathan Engel
Info - 3 points
POETRY LECTURE
THE POET'S STORY
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- Department: Writing
- T 3:30 p.m.-5:30 p.m.
-
Instructor:
Alice Quinn
Info - 3 points
BANKRUPTCY LAW
- Department: Law
- MW 10 a.m.-noon
-
Instructor:
Edward R Morrison
Wikipedia Info - 4 points
Russia s Energy between West, East, an
Russia s Energy-West East So
The Ongoing Tale of Russia - EU energy relations: Will the ;Energy Marriage; Between Russia and the EU Endure the Latest Political Storm? The EUs recent move toward a unified energy policy has made Russia anxious. On April 13, 2015, Alexey Miller, the CEO of Gazprom, admitted that the business model Gazprom has been following in Europe for many years is falling apart. So, what is Russia going to do? Gazprom executives are claiming that the company has come up with a new business model toward its European partners. What is this new model? And what is Russias new energy strategy? The course will explore these questions.
- Department: International and Public Affairs
- W 4:10 p.m.-6 p.m.
-
Instructor:
Natasha Udensiva
Info - 3 points
ANALYTCS/MANAGR DECISION MAKNG
- Department: Executive Classes in HPM
-
Instructor:
Alan D Weinberg
Info - 3 points
ANALYTCS/MANAGR DECISION MAKNG
- Department: Health Policy & Management
- M 5:30 p.m.-7:30 p.m.
-
Instructor:
Paul W Thurman
h-index: 11 Info - 3 points
GLOBAL CONSTITUTIONALISM
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
- W 5 p.m.-7 p.m.
-
Instructor:
Michael Doyle
Info - 3 points
POSTWAR AUSTRIAN LIT (GERM)
- Department: Germanic Languages
- F 10:10 a.m.-noon
-
Instructor:
Mark M Anderson
CULPA: 2 Info - 3 points
INTERNATIONAL COMML ARBITRATN
- Department: Law
- TR 10:40 a.m.-12:10 p.m.
-
Instructor:
George A Bermann
Wikipedia Info - 3 points
PRINCPLS-EVAL-TREAT-MENTL HLTH
- Department: Rehabilitation Medicine (RMED)
-
Instructor:
Patricia Precin
Info - 5 points
Politics of the Caucasus
This course tracks the trajectories of politics in the Caucasus, focusing on the political development of the independent states of the South Caucasus: Armenia, Azerbaijan, and Georgia. While the focus is on contemporary political dynamics, the course considers the mechanisms through which the legacies of Imperial Russian expansion and Soviet structures interact with current mechanisms of interest articulation and power. Students in this course will examine the contours and mechanisms of the collapse of Soviet hegemony in the South Caucasus, spending some time examining the conflicts that accompanied this process and persist today. The course will address the country contexts both individually and comparatively, thereby encouraging students to delve deeply into the politics of each state, but then also enabling them to find continuities and contrasts across major thematic considerations.
- Department: International and Public Affairs
- T 11 a.m.-12:50 p.m.
-
Instructor:
Julie George
Info - 3 points
PUB-PRIV PARTSHP-REAL EST DEV
- Department: Architecture, Planning and Preservation
- T 6:30 p.m.-8:30 p.m.
-
Instructor:
Mehul J Patel
Info - 1.5 points
AMERICAN MUSICAL THEATRE
- Department: Theatre Arts
- F 11 a.m.-1 p.m.
-
Instructor:
Michael Korie
Info - 3 points
PRACTICUM:PLANNING & MEGA PROJECTS
- Department: Architecture, Planning and Preservation
- M 11 a.m.-1 p.m.
-
Instructor:
Adam F Lubinsky
Info - 1.5 points
Psychotherapy: Theories and Techniques
PSYCHOTHERAPY:THEORIES/T
This course is designed to present major theoretical systems of psychotherapy, with a special emphasis on how clients in therapy change and how to conceptualize clients' presenting concerns from theoretical points of view. Issues related to application of theory in practice, especially those related to individual/cultural diversity will be addressed and emphasized.
- Department: Nursing
- M 10 a.m.-11:50 a.m.
-
Instructor:
Kasey B Jackman
Info - 2 points
VALUE OF DESIGN
- Department: Architecture, Planning and Preservation
- W 11 a.m.-1 p.m.
- 1.5 points
Quant III: Labor Economics For Policy St
This course investigates the functioning of the labor market using economic models and micro-economic data. It will analyze both the behavior of agents in the labor market – workers and firms – and institutions and polices that underpin such behavior. Topics include human capital, skills and education, the importance of firm wage policies, income inequality, minimum wages, immigration, collective bargaining and unions, comparative labor market institutions, and role of labor market policies. Students will conduct the hands-on analysis of real-world labor market data. The course will over econometric methods used by economists in estimating causal effects, including the use of natural experiments and instrumental variables.
- Department: International and Public Affairs
- R 2:10 p.m.-4 p.m.
-
Instructor:
Suresh Naidu
Wikipedia h-index: 26 Info - 3 points
Testing Models of Public Policy Making
Testing Models-Pub Pol Making
This course teaches students data analytical tools to test, evaluate, and predict public policy outcomes. Students learn to critically review policymaking models, derive testable hypotheses, and evaluate these predictions using advanced data science techniques. The course emphasizes data visualization, diagnostics, model specification, and predictive robustness. Applications include U.S. trade policy, financial market regulation, democratic transitions, and electoral and congressional voting models.
- Department: International and Public Affairs
- W 4:10 p.m.-6 p.m.
-
Instructor:
Sharyn L O'Halloran
Info - 3 points
SUPERVISED INDIVIDUAL RESEARCH
Prerequisites: permission of the departmental adviser to Graduate Studies.
- Department: Psychology
-
Instructor:
Janet Metcalfe
CULPA: 31 h-index: 70 Info - 1-4 points
INTRO TO CONTROL THEORY
Prerequisites: (MATH UN2030) A graduate-level introduction to classical and modern feedback control that does not presume an undergraduate background in control. Scalar and matrix differential equation models and solutions in terms of state transition matrices. Transfer functions and transfer function matrices, block diagram manipulations, closed loop response. Proportional, rate, and integral controllers, and compensators. Design by root locus and frequency response. Controllability and observability. Luenberger observers, pole placement, and linear-quadratic cost controllers.
- Department: Mechanical Engineering
- W 7 p.m.-9:30 p.m.
-
Instructor:
Richard W Longman
CULPA: 6 h-index: 45 Info - 3 points
QUESTIONS IN ANTHROPOLOGICAL THEORY II:
This course surveys the historical relationships between anthropological thought and its generic inscription in the form of ethnography. Readings of key ethnographic texts will be used to chart the evolving paradigms and problematics through which the disciplines practitioners have conceptualized their objects and the discipline itself. The course focuses on several key questions, including: the modernity of anthropology and the value of primitivism; the relationship between history and eventfulness in the representation of social order, and related to this, the question of anti-sociality (in crime, witchcraft, warfare, and other kinds of violence); the idea of a cultural world view; voice, language, and translation; and the relationship between the form and content of a text. Assignments include weekly readings and reviews of texts, and a substantial piece of ethnographic writing. Limited to PhD students in Anthropology only.
- Department: Anthropology
- W noon-2 p.m.
-
Instructor:
Claudio Lomnitz
CULPA: 3 Wikipedia Info - 3 points
Sonic and Visual Representation of Data
PROGRAMMING & ELECTRONICS
This course explores the creative visualization and sonification of data. Humans produce enormous amounts of data representing complex phenomena (including but not limited to our own activities), but we there is a deficit in our ability to perceive and understand the patterns in the data. The auditory and visual perceptual systems are optimized for a wide range of spatial and temporal patterns that we process simultaneously to understand our immediate surroundings. How can we use these capabilities to better understand processes that are beyond the range of our direct perception, but we can measure indirectly with a vast range of sensors? This course addresses ways of generating both sonic and visual animations of the same data, from which we will construct videos. Questions of how to design and tune these representations to bring out patterns in the data, based on the nature of human perception and also aesthetic choices, will be discussed throughout. How might these questions of pattern perception vary (or not) for scientific and artistic intents? Students will select datasets they are interested in early in the course, and will develop and build these projects over the semester. While the course is taught using Python and RTcmix, and prior experience in Python is encouraged, students may use other sonic/visual coding environments such as Unity, Max/MSP, or Pure Data for their projects. Hardware for VR/AR and spatialized sound will be available for class use at the Computer Music Center.
- Department: Music
- R 5:30 p.m.-8 p.m.
-
Instructor:
Benjamin Holtzman
h-index: 18 Info - 3 points
LEASE ANALYSIS & FIN METRICS
- Department: Architecture, Planning and Preservation
- F 9 a.m.-11 a.m.
-
Instructor:
Sara B Queen
Info - 1.5 points
DEV ASPCT-ADOLESCN:THEOR/INTER
- Department: Social Work
- T 6:20 p.m.-8:10 p.m.
-
Instructor:
Ronald A Feldman
h-index: 18 Info - 3 points
NORMAL-PATHLGCL ASPCT-CHLDHOOD
- Department: Social Work
- W 6:20 p.m.-8:10 p.m.
-
Instructor:
Prudence W Fisher
Info - 3 points
MASTER CLASS
TOXIC RELATIONSHIPS
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- Department: Writing
- F 10 a.m.-noon
-
Instructor:
Gila Ashtor
Info - 1.5 points
MASTER CLASS
THE GHOST STORY
.
- Department: Writing
- R 6 p.m.-8 p.m.
-
Instructor:
Hannah L Assadi
Info - 1.5 points
MASTER CLASS
REVISE LIKE AN EDITOR
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- Department: Writing
- F 2 p.m.-4:20 p.m.
-
Instructor:
Corinna K Barsan
Info - 1.5 points
MASTER CLASS
TEACHING WRIT TO YOUNG PEOPLE
.
- Department: Writing
- R 10 a.m.-noon
-
Instructor:
Matthew Burgess
Info - 1.5 points
MASTER CLASS
(SOMA)TIC POETRY RITUALS
.
- Department: Writing
- M 10 a.m.-noon
-
Instructor:
Craig Conrad
Info - 1.5 points
MASTER CLASS
WRITING IN HARD TIMES
.
- Department: Writing
- M 6:30 p.m.-8:30 p.m.
-
Instructor:
Ruvani S Freeman
Info - 1.5 points
MASTER CLASS
NARRATIVE PODCASTING
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- Department: Writing
- F 10 a.m.-noon
-
Instructor:
Jason A Gots
Info - 1.5 points
MASTER CLASS
KITCHEN TABLE TRANSLATION
.
- Department: Writing
- W 2 p.m.-4 p.m.
-
Instructor:
Madhu H Kaza
Info - 1.5 points
MASTER CLASS
MUSIC AND WRITER'S IMAGINATION
.
- Department: Writing
- T 1:10 p.m.-3:10 p.m.
-
Instructor:
Sarah Rothenberg
Info - 1.5 points
MASTER CLASS
INNER LIFE & HOW TO REVEAL IT
.
- Department: Writing
- W 4:30 p.m.-6:30 p.m.
-
Instructor:
Benjamin Taylor
Wikipedia Info - 1.5 points
MASTER CLASS
REWRITING SHAKESPEARE
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- Department: Writing
- T 6 p.m.-8 p.m.
-
Instructor:
William Wadsworth
Info - 1.5 points
SOUND: AVDANCED TOPICS II
This class explores advanced topics relating to the production of music by computer. Although programming experience is not a prerequisite, various programming techniques are enlisted to investigate interface design, algorithmic composition, computer analysis and processing of digital audio, and the use of computer music in contexts such as VR/AR applications. Check with the instructor for the particular focus of the class in an upcoming semester. Note: this class is not necessarily a continuation of Sound: Advanced Topics I/GR6610. Some familiarity with computer music hardware/software is expected. Permission of instructor is required to enroll.
- Department: Music
- W 6:10 p.m.-8 p.m.
-
Instructor:
Bradford G Garton
CULPA: 14
Info
- 3 points
Ex. Sanctuary for Families: Domestic Vio
EX SANCTUARY FOR FAMILIES
- Department: Law
- T 5 p.m.-7 p.m.
- None None-None
-
Instructor:
Rosalyn Richter
Info - 2 points
Built Environment Disruption: Partnershi
SOCIAL ENTREPRENEURSHIP
- Department: Architecture, Planning and Preservation
- T 7 p.m.-9 p.m.
-
Instructor:
Kate S Wittels
Info - 3 points
OPTIMIZATION II
An introduction to combinatorial optimization, network flows and discrete algorithms. Shortest path problems, maximum flow problems. Matching problems, bipartite and cardinality nonbipartite. Introduction to discrete algorithms and complexity theory: NP-completeness and approximation algorithms.
- Department: Industrial Engineering and Operations Research
- TR 10:10 a.m.-11:25 a.m.
-
Instructor:
Yuri Faenza
h-index: 11 Info - 4.5 points
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.
- R 9 a.m.-10:50 a.m.
-
Instructor:
Harold B Stolper
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
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Instructor:
Deanna M Schneider
Info - 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
- MW 5:40 p.m.-6:55 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 2:40 p.m.-3:55 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.
-
Instructor:
Keiko Honda
Info - 1.5 points
ADV MIXED MUSIC COMPOSITION
Advanced Mixed Music Composition explores creative uses of advanced audio production tools (i.e. various DSP plug-ins, controllers, microphones, surround speaker arrays, etc.) and techniques (audio editing, mastering, performance simulations, synchronization, etc.); and looks at their impact on the aesthetics and poetics of a musical project. A special emphasis is given to the problems arising from the transition between the precisely controlled studio environment to the live concert hall (i.e. loudspeaker distance, room liveliness, monitoring, etc.), and how this transition can influence the audiences perception of a work. importance of synchronization, notation, documentation, and portability as fundamental considerations during the compositional process. Lastly, techniques for producing simple yet high quality videos for archival purposes are shown, as a means to present yet another point of view on a musical project.
- Department: Music
- M 10 a.m.-1 p.m.
-
Instructor:
David Adamcyk
CULPA: 1 Info - 3 points