Machine Learning for Functional Genomics

ML for Functional Genomic

This course will introduce modern probabilistic machine learning methods using applications in data analysis tasks from functional genomics, where massively-parallel sequencing is used  to measure the state of cells: e.g. what genes are being expressed, what regions of DNA (“chromatin”) are active (“open”) or bound by specific proteins.

• Department: Computer Science
• Instructor: David A Knowles
  h-index: 35 Info
• 3 points

Machine Learning for Functional Genomics

ML for Functional Genomic

This course will introduce modern probabilistic machine learning methods using applications in data analysis tasks from functional genomics, where massively-parallel sequencing is used  to measure the state of cells: e.g. what genes are being expressed, what regions of DNA (“chromatin”) are active (“open”) or bound by specific proteins.

• Department: Video Network
• Instructor: David A Knowles
  h-index: 35 Info
• 3 points

Feminist, Social and Political Philosoph

Fem, Soc & Pol Phil of La

This course explores different ways in which social and political settings affect our language – what we can do with our words and what our words mean – as well as ways in which our language affects our social and political setting – the effects of people saying things, or saying things using certain words, or words with specific meanings.  Topics and texts may vary with instructor and semester.

• Department: Philosophy @Barnard
• Instructor: Karen Lewis
  CULPA: 12 h-index: 7 Info
• 3 points

Artificial Intelligence of Things (AIoT)

IoT - INTELLIG & CONNECTED SYS

Artificial Intelligence of Things (AIoT), Internet of Things (IoT), and Cyber-Physical Systems (CPS). Embedded and mobile platforms. Embedded programming. Sensors, actuators, and interfaces. Wireless networking, web services, and databases. Edge and cloud computing. Large language models (LLMs) for AIoT. Time-series data visualization and analytics. Group projects to build end-to-end AIoT systems and applications.

• Department: Electrical Engineering
• Instructor: Xiaofan Jiang
  h-index: 24 Info
• 3 points

MACHINE LEARNING

Basic statistical principles and algorithmic paradigms of supervised machine learning.

Prerequisites: 
Multivariable calculus (e.g. MATH1201 or MATH1205 or APMA2000), linear algebra (e.g. COMS3251 or MATH2010 or MATH2015), probability (e.g. STAT1201 or STAT4001 or IEOR3658 or MATH2015), discrete math (COMS3203), and general mathematical maturity. Programming and algorithm analysis (e.g. COMS 3134). COMS 3770 is recommended for students who wish to refresh their math background.

• Department: Computer Science
• Instructor: Daniel Hsu
  CULPA: 6 h-index: 44 Info
• 3 points

MACHINE LEARNING

Basic statistical principles and algorithmic paradigms of supervised machine learning.

Prerequisites: 
Multivariable calculus (e.g. MATH1201 or MATH1205 or APMA2000), linear algebra (e.g. COMS3251 or MATH2010 or MATH2015), probability (e.g. STAT1201 or STAT4001 or IEOR3658 or MATH2015), discrete math (COMS3203), and general mathematical maturity. Programming and algorithm analysis (e.g. COMS 3134). COMS 3770 is recommended for students who wish to refresh their math background.

• Department: Computer Science
• Instructor: Daniel Hsu
  CULPA: 6 h-index: 44 Info
• 3 points

Unsupervised Learning

Core topics from unsupervised learning such as clustering, dimensionality reduction and density estimation will be studied in detail. Topics in clustering: k-means clustering, hierarchical clustering, spectral clustering, clustering with various forms of feedback, good initialization techniques and convergence analysis of various clustering procedures. Topics in dimensionality reduction: linear techniques such as PCA, ICA, Factor Analysis, Random Projections, non-linear techniques such as LLE, IsoMap, Laplacian Eigenmaps, tSNE, and study of embeddings of general metric spaces, what sorts of theoretical guarantees can one provide about such techniques. Miscellaneous topics: design and analysis of datastructures for fast Nearest Neighbor search such as Cover Trees and LSH. Algorithms will be implemented in either Matlab or Python.

• Department: Computer Science
• Instructor: Nakul Verma
  CULPA: 10 h-index: 16 Info
• 3 points

Causal Inference

Causal Inference theory and applications. The theoretical topics include the 3-layer causal hierarchy,  causal bayesian networks, structural learning, the identification problem and the do-calculus, linear identifiability, bounding, and counterfactual analysis. The applied part includes intersection with statistics, the empirical-data sciences (social and health), and AI and ML.

• Department: Computer Science
• Instructor: Elias Bareinboim
  h-index: 25 Info
• 3 points

Neural Networks & Deep Learning

NEURAL NETWORKS DEEP LEAR

Foundational concepts, methods, applications, and recent advances in neural network algorithms.

• Department: Computer Science
• Instructor: Richard Zemel
  Wikipedia Info
• 3 points

Neural Networks & Deep Learning

NEURAL NETWORKS DEEP LEAR

Foundational concepts, methods, applications, and recent advances in neural network algorithms.

• Department: Video Network
• Instructor: Richard Zemel
  Wikipedia Info
• 3 points

Financial Engineering Practitioners Semi

FE Seminar Series

Degree requirement for all MSFE first-year students. Topics in Financial Engineering. Past seminar topics include Evolving Financial Intermediation, Measuring and Using Trading Algorithms Effectively, Path-Dependent Volatility, Artificial Intelligence and Data Science in modern financial decision making, Risk-Based Performance Attribution, and Financial Machine Learning. Meets select Monday evenings.

• Department: Industrial Engineering and Operations Research
• 0 points

MSFE Quantitative and Computational Boot

MSFE Quant/Comp Bootcamp

Primer on quantitative and mathematical concepts. Required of all incoming MSFE students.

• Department: Industrial Engineering and Operations Research
• 0 points

PROTEIN ENGINEERING

Fundamental tools and techniques currently used to engineer protein molecules.  Methods used to analyze the impact of these alterations on different protein functions with specific emphasis on enzymatic catalysis.  Case studies reinforce concepts covered, and demonstrate the wide impact of protein engineering research.  Application of basic concepts in the chemical engineering curriculum (reaction kinetics, mathematical modeling, thermodynamics) to specific approaches utilized in protein engineering.

• Department: Chemical Engineering
• Instructor: Scott Banta
  CULPA: 1 h-index: 36 Info
• 3 points

PROTEIN ENGINEERING

Fundamental tools and techniques currently used to engineer protein molecules.  Methods used to analyze the impact of these alterations on different protein functions with specific emphasis on enzymatic catalysis.  Case studies reinforce concepts covered, and demonstrate the wide impact of protein engineering research.  Application of basic concepts in the chemical engineering curriculum (reaction kinetics, mathematical modeling, thermodynamics) to specific approaches utilized in protein engineering.

• Department: Video Network
• Instructor: Scott Banta
  CULPA: 1 h-index: 36 Info
• 3 points

DATA SCIENCE CAPSTONE&ETHICS

• Department: Engineering
• Instructor: Yining Liu
  Info
• 3 points

DATA SCIENCE CAPSTONE&ETHICS

• Department: Engineering
• Instructor: Yining Liu
  Info
• Instructor: Adam Kelleher
  Info
• 3 points

PROF SKILLS FOR NEUROSCIENTISTS

• Department: Neurobiology and Behavior
• 1 points

MATH LOGIC II

• Department: Philosophy
• Instructor: Justin Clarke-Doane
  h-index: 10 Info
• 3 points

DIGITAL SIGNAL PROCESSING

Digital filtering in time and frequency domain, including properties of discrete-time signals and systems, sampling theory, transform analysis, system structures, IIR and FIR filter design techniques, the discrete Fourier transform, fast Fourier transforms.

• Department: Electrical Engineering
• Instructor: John Wright
  CULPA: 1 h-index: 44 Info
• 3 points

DIGITAL SIGNAL PROCESSING

Digital filtering in time and frequency domain, including properties of discrete-time signals and systems, sampling theory, transform analysis, system structures, IIR and FIR filter design techniques, the discrete Fourier transform, fast Fourier transforms.

• Department: Video Network
• Instructor: John Wright
  CULPA: 1 h-index: 44 Info
• 3 points

DIGITAL SIGNAL PROCESSING

Digital filtering in time and frequency domain, including properties of discrete-time signals and systems, sampling theory, transform analysis, system structures, IIR and FIR filter design techniques, the discrete Fourier transform, fast Fourier transforms.

• Department: Video Network
• Instructor: John Wright
  CULPA: 1 h-index: 44 Info
• 3 points

ADVANCED SANSKRIT I

This course constitutes the first half of a year-long advanced reading course in Classical Sanskrit. In 2021-2022, the focus of Advanced Sanskrit will be the genres of literary theory (alaṅkāraśāstra) and belles-lettres (kāvya). Lending equal attention to literary theory and literary practice, this course will introduce students to iconic works of Sanskrit literature along with the interpretive frameworks whereby they were analyzed, relished, and appraised. Literary excerpts may be drawn from an array of subgenres, including courtly epic (mahākāvya), epic drama (nāṭaka), literary prose (gadya), and individual verses (muktaka). Rigorous analysis of primary texts will be supplemented by occasional discussions about what implications the disciplined reading of kāvya may hold for practices such as translation, comparative literature, and transdisciplinarity. Prerequisites: Intermediate Sanskrit II or instructor’s permission.

• Department: Middle Eastern, South Asian and African Studies
• Instructor: Jonathan Peterson
  Info
• 4 points

Sound Foundations

SOUND: FOUNDATIONS

This foundational course in sounding media will begin by exploring how listening happens as well the tools necessary to capture and present that listening. Through hands-on experimentation and demonstration, this seminar will examine both the technical and semiotic use of sound as a material within creative practice.  Fundamental acoustic and electronic principles, studio techniques, and the building blocks of analog and digital processes for the creation of sound will be explored creatively and critically. Through hands-on projects that implement these ideas we will examine critical terms through praxis.  We will study theories of sound and listening that determine or are determined by technology, from the physical and social dimensions of the sounds we use to create, language (sound as a symbol or object), acoustics (sound in space), acousmatics (sound without a visual reference), and psycho-acoustics (sound as cognitive process). This class assumes no prior knowledge or technical skill. Readings will be assigned and we will look and listen to a lot of work, all of which will generate material to engage actively in discussions.

• Department: Music
• Instructor: Seth Cluett
  h-index: 4 Info
• 3 points

Aerospace Human Factors Engineering

Engineering fundamentals and experimental methods of human factors design and evaluation for spacecraft which incorporate human-in-the-loop control. Develop understanding of human factors specific to spacecraft design with human-in-the-loop control. Design of human factors experiments utilizing task analysis and user testing with quantitative evaluation metrics to develop a sate and high-performing operational space system. Human-centered design, functional allocation and automation, human sensory performance in the space environment, task analysis, human factors experimental methods and statistics, space vehicle displays and controls, situation awareness, workload, usability, manual piloting and handling qualities, human error analysis and prevention, and anthropometrics.

• Department: Mechanical Engineering
• Instructor: Michael J Massimino
  Wikipedia Info
• 3 points

GLOBAL ENERGY: SECURITY/GEOPOL

The course focuses on the nexus between energy and security as it reveals in the policies and interaction of leading energy producers and consumers. Topics include: Hydrocarbons and search for stability and security in the Persian Gulf, Caspian basin, Eurasia, Africa and Latin America; Russia as a global energy player; Analysis of the impact of Russia's invasion of Ukraine on energy markets, global security, and the future of the energy transition; Role of natural gas in the world energy balance and European energy security; Transformation of the global energy governance structure; Role and evolution of the OPEC; Introduction into energy economics; Dynamics and fundamentals of the global energy markets; IOCs vs NOCs; Resource nationalism, cartels, sanctions and embargoes; Asia's growing energy needs and its geo-economic and strategic implications; Nuclear energy and challenges to non-proliferation regime; Alternative and renewable sources of energy; Climate change as one of the central challenges of the 21st century; Analysis of the policies, technologies, financial systems and markets needed to achieve climate goals. Climate change and attempts of environmental regulation; Decarbonization trends, international carbon regimes and search for optimal models of sustainable development. Special focus on implications of the shale revolution and technological innovations on U.S. energy security.

• Department: Political Science
• Instructor: Albert Bininachvili
  CULPA: 6 Info
• 3 points

ADVANCED LOGIC DESIGN

An introduction to modern digital system design. Advanced topics in digital logic: controller synthesis (Mealy and Moore machines); adders and multipliers; structured logic blocks (PLDs, PALs, ROMs); iterative circuits. Modern design methodology: register transfer level modelling (RTL); algorithmic state machines (ASMs); introduction to hardware description languages (VHDL or Verilog); system-level modelling and simulation; design examples.

• Department: Electrical Engineering
• Instructor: Mingoo Seok
  h-index: 31 Info
• 3 points

COMPUTER ARCHITECTURE

Focuses on advanced topics in computer architecture, illustrated by case studies from classic and modern processors. Fundamentals of quantitative analysis. Pipelining. Memory hierarchy design. Instruction-level and thread-level parallelism. Data-level parallelism and graphics processing units. Multiprocessors. Cache coherence. Interconnection networks. Multi-core processors and systems-on-chip. Platform architectures for embedded, mobile, and cloud computing.

• Department: Computer Science
• Instructor: Simha Sethumadhavan
  CULPA: 8 Info
• 3 points

Indo-Islamic Culture in Literature

This course will focus on the Indo-Islamic literary traditions in South Asia, and particularly in what is now India and Pakistan, focusing on Urdu literature from the nineteenth and twentieth centuries. The course will emphasize the rhetorical and performative history of poetic forms in the subcontinent (including the forms of the
Ghazal
and
Nauha
, among others) and will consider how classical poetic tropes continue to inform contemporary mass culture in India and Pakistan—particularly in the song lyrics of Hindi/Bollywood cinema. The course will also consider more contemporary prose genres of Urdu-language writing (in English translation), including the literature of the Partition and the works of contemporary authors such as Naiyer Masud and Saima Iram.

Through a comparative study of texts in different genres and at different moments in history, students will consider questions such as: What aspects of contemporary literary culture in India and Pakistan can be traced to early establishment of Islamic culture in the region? How have the poetic conventions of Indo-Islamic poetry continued to resonate? How did the interaction of Hindu and Muslim literary, musical, visual, and religious cultures in the Mughal era help to generate the rich profusion of literature and music and cultural tolerance in this period?

Most of our readings in this course will Urdu literature in English translation. We will also, however, read some secondary sources in order to help us better understand the primary sources.

• Department: Middle Eastern, South Asian and African Studies
• Instructor: Timsal Masud
  Info
• 4 points

WETLANDS & CLIMATE CHANGE

Prerequisites: introductory biology or chemistry, or the instructors permission. Analysis of modern wetland dynamics and the important ecological, biogeochemical, and hydrological functions taking place in marshes, bogs, fens, and swamps, with a field emphasis. Wetlands as fossil repositories, the paleoenvironmental history they provide, and their role in the carbon cycle. Current wetland destruction, remediation attempts, and valuation. Laboratory analysis and field trips.

• Department: Earth and Environmental Sciences
• Instructor: Dorothy Peteet
  h-index: 38 Info
• 3 points

The Industrial Novel

This seminar offers intensive study of “the industrial novel,” a body of mid-Victorian fiction responding to the economic volatility and class conflict that accompanied the rise of industrial production.  In little more than a decade, treatments of this broad concern by a number of major novelists converged in a set of distinctive formal strategies, yet the relatively brief prominence of the form underscores an unusually direct connection with contemporary political anxieties.  The industrial novel presses against the increasingly domestic preoccupations of mid-Victorian fiction, so familiar in “the marriage plot,” but it thereby throws those preoccupations into sharp relief, and more broadly illuminates the construction of Victorian domesticity.   We’ll be especially interested in the intersections of gender and class, the interplay of socio-economic history and narrative form, and the political dimensions of the mid-Victorian novel.  Finally, the topic poses large questions about genre and literary history: does “the industrial novel” denote a genre, and why apply that tag to works that rarely depict industrial labor?   Why not the “social problem” novel, the “domestic novel in Northern dress,” or even “the novel of insurrection”?  Major authors include Disraeli, Gaskell, Charlotte Bronte, Kingsley, Dickens, and George Eliot; we’ll also gather in some of the political economy of John Stuart Mill and Marx, as well as the social commentary of Carlyle and Engels.

• Department: English and Comparative Literature
• Instructor: James E Adams
  CULPA: 12 Info
• 4 points

Machine Intelligence

This seminar will survey historical and modern developments in machine intelligence from fields such as psychology, neuroscience, and computer science, and from approaches such as cybernetics, artificial intelligence, machine learning, robotics, connectionism, neural networks, and deep learning. The emphasis is on the conceptual understanding of topics. The course does not include, nor require a background in, computer programming and statistics. The overall goal is for students to become informed consumers of applications of artificial intelligence.

• Department: Psychology
• Instructor: Trenton Jerde
  h-index: 11 Info
• 4 points

CHINA AND POLITICS OF DESIRE

A recent American newspaper headline announced that China has become “the most materialistic country the world.” Globally circulating narratives often interpret Chinese consumers’ demand for commodities as an attempt to fill a void left by the absence of the Maoist state, traditional religious life, and Western-style democracy. But things aren’t as simple as they appear. This course explores the intertwined questions of “Chinese” desire and the desire for China. Avoiding reductionist understandings of desire as either a universal natural human attribute or a particular Chinese cultural trait, we will track the production and management of desire within a complex global field. Drawing on ethnographies, films, short stories, and psychoanalytic and postcolonial theory, this course will explore the shifting figure of desire across the Maoist and post-Maoist eras by examining how academics, government officials, intellectuals, and artists have represented Chinese needs, wants and fantasies. From state leaders’ attempts to improve the “quality” of the country’s population to citizens’ dreams of home ownership, from sexualized desire to hunger for food, drugs and other commodities, we will attend to the continuities and disjunctures of recent Chinese history by tracking how desire in China has been conceptualized and refracted through local and global encounters.

• Department: Asian and Middle East @Barnard
• Instructor: Nicholas A Bartlett
  CULPA: 5 Info
• 4 points

BEHAVIORAL ECONOMICS

Prerequisites: ECON UN3211 and ECON UN3213 Within economics, the standard model of behavior is that of a perfectly rational, self interested utility maximizer with unlimited cognitive resources. In many cases, this provides a good approximation to the types of behavior that economists are interested in. However, over the past 30 years, experimental and behavioral economists have documented ways in which the standard model is not just wrong, but is wrong in ways that are important for economic outcomes. Understanding these behaviors, and their implications, is one of the most exciting areas of current economic inquiry. The aim of this course is to provide a grounding in the main areas of study within behavioral economics, including temptation and self control, fairness and reciprocity, reference dependence, bounded rationality and choice under risk and uncertainty. For each area we will study three things: 1. The evidence that indicates that the standard economic model is missing some important behavior 2. The models that have been developed to capture these behaviors 3. Applications of these models to (for example) finance, labor and development economics As well as the standard lectures, homework assignments, exams and so on, you will be asked to participate in economic experiments, the data from which will be used to illustrate some of the principals in the course. There will also be a certain small degree of classroom ‘flipping’, with a portion of many lectures given over to group problem solving. Finally, an integral part of the course will be a research proposal that you must complete by the end of the course, outlining a novel piece of research that you would be interested in doing.

• Department: Economics
• Instructor: Mark Dean
  CULPA: 2 h-index: 26 Info
• 3 points

GENERATIVE DESIGN

• Department: Architecture, Planning and Preservation
• Instructor: Danil Nagy
  Info
• 3 points

NAT SECURITY STRAT OF MID EAST

At the crossroads of three continents, the Middle East is home to many diverse peoples, with ancient and proud cultures, in varying stages of political and socio-economic development, often in conflict. Following the Arab Spring and subsequent upheaval in Egypt, Syria, Iraq, Yemen, Libya and more, the region is in a state of historic flux. The Sunni-Shia rivalry, especially between Saudi Arabia and Iran, growing Iranian-Israeli conflict, population explosion, poverty and authoritarian control, Russian ascendance and US retrenchment, are the primary regional drivers today. Together, these factors have transformed the Middle Eastern landscape, with great consequence for the national security of the countries of the region and their foreign relations. The primary source of the worlds energy resources, the Middle East remains the locus of the terror-WMD-fundamentalist nexus, which continues to pose a significant threat to both regional and international security. The course surveys the national security challenges facing the regions primary players (Egypt, Saudi Arabia, Iran, Iraq, Syria, Lebanon, Jordan, Israel, the Palestinians and Turkey,) and how the convolutions of recent years have affected them. Unlike many Middle East courses, which focus on US policy in the region, the course concentrates on the regional players perceptions of the threats and opportunities they face and the strategies they have adopted to deal with them. It thus provides an essential vantage point for those interested in gaining a deeper understanding of a region, which stands at the center of many of the foreign policy issues of our era. The course is designed for those with a general interest in the Middle East, especially those interested in national security issues, students of comparative politics and future practitioners, with an interest in real world international relations and national security.

• Department: Political Science
• Instructor: Charles D Freilich
  CULPA: 2 Info
• 4 points

MODERN JAPAN

• Department: East Asian Languages and Cultures
• Instructor: Isaac C K Tan
  Info
• 4 points

NMR BIOSOFTENG

This course is for junior/senior undergraduates and graduate (MS) students. The course focuses on the fundamentals of nuclear magnetic resonance (NMR) spectroscopy and imaging in fields ranging from biomedical engineering to electrochemical energy storage. Course material covers basic NMR theory, instrumentation (including in situ/operando setup), data interpretation, and experimental design to couple with other materials characterization strategies. Course grade based on problem sets, quizzes, and final project presentation.

• Department: Chemical Engineering
• Instructor: Lauren E Marbella
  Info
• 3 points

SOC OF CHOSON KOREA 1392-1910

Major cultural, political, social, economic and literary issues in the history of this 500-year long period. Reading and discussion of primary texts (in translation) and major scholarly works. All readings will be in English.

• Department: East Asian Languages and Cultures
• Instructor: Jungwon Kim
  CULPA: 2 Info
• 4 points

INTERNATIONAL POLITICAL ECONOMY

This course explores key frameworks and issue areas within international political economy. It examines the history and key characteristics of (economic) globalization, the theories of international cooperation, as well as the nature and role of international organizations (such as the World Trade Organization) in fostering trade and international economic cooperation. Furthermore, the course discusses the pros and cons of globalization and its implications on domestic policies of nation-states, with a particular focus on the tensions globalization creates and the lines of cleavages between winners and losers from globalization. Finally, the course reflects on the future of globalization and international trade and the challenges faced by national and supranational policy makers.

• Department: Political Science
• Instructor: Davit Sahakyan
  CULPA: 1 Info
• 4 points

MODERNISM + THE VERNACULAR

• Department: Architecture, Planning and Preservation
• Instructor: Mary C McLeod
  Info
• 3 points

INT'L POLITICAL ECONOMY-DISC

This is the required discussion section for 
POLS GU4865.

• Department: Political Science
• Instructor: Aleksandra Gracheva
  Info
• Instructor: Seowoo Chung
  Info
• Instructor: Aleksandra Gracheva
  Info
• 0 points

SYSTEM-ON-CHIP PLATFORMS

Design and programming of System-on-Chip (SoC) platforms. Topics include: overview of technology and economic trends, methodologies and supporting CAD tools for system-level design, models of computation, the SystemC language, transaction-level modeling, software simulation and virtual platforms, hardware-software partitioning, high-level synthesis, system programming and device drivers, on-chip communication, memory organization, power management and optimization, integration of programmable processor cores and specialized accelerators. Case studies of modern SoC platforms for various classes of applications.

• Department: Computer Science
• Instructor: Luca Carloni
  CULPA: 2 Wikipedia h-index: 45 Info
• 3 points

JAPAN BEFORE 1600

Spend a semester in Ancient Japan!  This tour of premodern places and spaces introduces the history of the Japanese archipelago, from the Stone Age to the 16th century C.E., through various primary source materials in translation, including archaeological sites, literary works, and the anime Princess Mononoke.  No prior knowledge of Japanese history required, and all course readings are in English.

• Department: East Asian Languages and Cultures
• Instructor: David B Lurie
  CULPA: 17 Info
• 4 points

JAPAN BEFORE 1600

Spend a semester in Ancient Japan!  This tour of premodern places and spaces introduces the history of the Japanese archipelago, from the Stone Age to the 16th century C.E., through various primary source materials in translation, including archaeological sites, literary works, and the anime Princess Mononoke.  No prior knowledge of Japanese history required, and all course readings are in English.

• Department: East Asian Languages and Cultures
• Instructor: David B Lurie
  CULPA: 17 Info
• 4 points

CONSTRUCTION ECOLOGIES

• Department: Architecture, Planning and Preservation
• Instructor: Thomas Schaperkotter
  Info
• 3 points

HISTORY OF MODERN CHINA I

China’s transformation under its last imperial rulers, with special emphasis on economic, legal, political, and cultural change.

• Department: East Asian Languages and Cultures
• Instructor: Palden Gyal Palden
  Info
• 3 points

ORGANIC GEOCHEMISTRY IN EARTH & ENVIRONM

ORGANIC GEOCHEM EARTH&ENV

This course explores the fundamentals of organic geochemistry and its applications to the study of Earth History. The course will examine the structure of organic molecules and their fate in the Earth System, and will provide students with a theoretical grounding as well as hands-on training in analytical methods in organic geochemistry. The objective of the course is to prepare students to critically evaluate the ways in which organic geochemical approaches are applied to a variety of Earth Science topics, industrial applications, and organo-pollutant and environmental health research. The course is aimed at students with interests in a wide range of Earth Science disciplines, including paleoclimate, carbon cycling, cell metabolism, petroleum geology, astrobiology, and environmental science.

Pre-requisites: One year of Chemistry is required. Organic Chemistry is recommended, but not required. Recommended: EESC2100 (Climate System), EESC2200 (Solid Earth).

• Department: Earth and Environmental Sciences
• Instructor: William D'Andrea
  Info
• 3 points

DATA VIS 4 ARCH, URB, HUM

• Department: Architecture, Planning and Preservation
• Instructor: Jia Zhang
  Info
• 3 points

SPATIAL UX

• Department: Architecture, Planning and Preservation
• Instructor: Violet Whitney
  Info
• 3 points

Research Training

Research training course. Recommended in preparation for laboratory related research.

• Department: Biomedical Engineering
• Instructor: Gerard A Ateshian
  Info
• Instructor: Tal Danino
  Wikipedia h-index: 18 Info
• Instructor: X. Edward Guo
  CULPA: 2 h-index: 70 Info
• Instructor: Henry Hess
  CULPA: 1 h-index: 45 Info
• Instructor: Elizabeth Hillman
  Wikipedia h-index: 48 Info
• Instructor: Lance Kam
  CULPA: 7 h-index: 38 Info
• Instructor: Elisa Konofagou
  Wikipedia h-index: 71 Info
• Instructor: Kam W Leong
  h-index: 126 Info
• Instructor: Jose McFaline-Figueroa
  Info
• 0 points

Research Training

Research training course. Recommended in preparation for laboratory related research.

• Department: Civil Engineering and Engineering Mechanics
• Instructor: Xuan Di
  h-index: 15 Info
• 0 points

Research Training

Research training course. Recommended in preparation for laboratory related research.

• Department: Chemical Engineering
• Instructor: Christopher S Chen
  Info
• 0 points

Research Training

Research training course. Recommended in preparation for laboratory related research.

• Department: Mechanical Engineering
• Instructor: Chaoqun Dong
  Info
• Instructor: Matei T Ciocarlie
  Info
• Instructor: Michael Burke
  h-index: 22 Info
• Instructor: Homayoon Beigi
  Info
• Instructor: Gerard A Ateshian
  Info
• Instructor: Sinisa Vukelic
  CULPA: 2 h-index: 11 Info
• Instructor: Hod Lipson
  Wikipedia h-index: 79 Info
• Instructor: P J Schuck
  Info
• 0 points

TOPICS IN CHEMICAL ENGINEERING

• Department: Chemical Engineering
• Instructor: Oleg Gang
  h-index: 45 Info
• 3 points

MASTERS RESEARCH OR PROJECT

Prerequisite(s): Approval by a faculty member who agrees to supervise the work. Independent work involving experiments, computer programming, analytical investigation, or engineering design.

• Department: Industrial Engineering and Operations Research
• Instructor: Anish Agarwal
  Info
• Instructor: Shipra Agrawal
  h-index: 24 Info
• Instructor: Eric Balkanski
  h-index: 13 Info
• Instructor: Daniel Bienstock
  h-index: 38 Info
• Instructor: Agostino Capponi
  h-index: 19 Info
• Instructor: Rachel Cummings
  h-index: 16 Info
• Instructor: Antonius B Dieker
  CULPA: 10 h-index: 19 Info
• Instructor: Adam N Elmachtoub
  CULPA: 1 h-index: 13 Info
• Instructor: Yuri Faenza
  h-index: 11 Info
• Instructor: Vineet Goyal
  h-index: 21 Info
• Instructor: Ali Hirsa
  h-index: 8 Info
• Instructor: Anran Hu
  Info
• Instructor: Garud Iyengar
  CULPA: 6 h-index: 30 Info
• Instructor: Hardeep Johar
  Info
• Instructor: Cedric Josz
  CULPA: 2 h-index: 13 Info
• Instructor: Soulaymane Kachani
  CULPA: 12 Info
• Instructor: Yaren Kaya
  Info
• Instructor: Christian Kroer
  h-index: 16 Info
• Instructor: Daniel Lacker
  CULPA: 4 h-index: 13 Info
• Instructor: Henry Lam
  h-index: 17 Info
• Instructor: Fabrizio Lecci
  Info
• Instructor: Tianyi Lin
  Info
• Instructor: Uday Menon
  Info
• Instructor: Bento Natura
  Info
• Instructor: Jay Sethuraman
  CULPA: 10 Info
• Instructor: Karl Sigman
  CULPA: 15 Info
• Instructor: Clifford Stein
  CULPA: 31 Wikipedia h-index: 53 Info
• Instructor: Wenpin Tang
  h-index: 6 Info
• 1-3 points