Master's level independent project involving theoretical, computational, experimental, or engineering design work. May be repeated, subject to Master's Program guidelines. Students must submit both a project outline prior to registration and a final project write-up at the end of the semester.
Master's level independent project involving theoretical, computational, experimental, or engineering design work. May be repeated, subject to Master's Program guidelines. Students must submit both a project outline prior to registration and a final project write-up at the end of the semester.
Only for masters students in the Department of Applied Physics and Applied Mathematics who may need relevant work experience a part of their program of study. Final report required. May not be taken for pass/fail or audited.
May be repeated for credit, but no more than 3 total points may be used for degree credit. Only for Civil Engineering and Engineering Mechanics graduate students who include relevant off-campus work experience as part of their approved program of study. Final report and letter of evaluation required. May not be taken for pass/fail credit or audited.
Only EAEE graduate students who need relevant off-campus work experience as part of their program of study as determined by the instructor. Written application must be made prior to registration outlining proposed study program. Final reports required. This course may not be taken for pass/ fail credit or audited. International students must also consult with the International Students and Scholars Office.
Only for ME graduate students who need relevant off-campus work experience as part of their program of study as determined by the instructor. Written application must be made prior to registration outlining proposed study program. Final reports required. May not be taken for pass/fail credit or audited. International students must consult with the International Students and Scholars Office.
English communication proficiency is important for academic achievement and career success. Columbia Engineering provides English communication instruction for students who would like to improve their communication skills in English. In a small group setting (15-20 students), enrollees will obtain opportunities to interact with the instructor and fellow classmates to improve communication skills.
This course is a no-credit class designed to start providing critical material to incoming QMSS students overthe summer to help prepare them for the coding demands of the program. We will post links, exercises andresources for students to work on before they start their classes in the Fall of 2018.
This course is a no-credit class designed to start providing critical material to incoming QMSS students overthe summer to help prepare them for the coding demands of the program. We will post links, exercises andresources for students to work on before they start their classes in the Fall of 2018.
Students will be introduced to the fundamental financial issues of the modern corporation. By the end of this course, students will understand the basic concepts of financial planning, managing growth; debt and equity sources of financing and valuation; capital budgeting methods; and risk analysis, cost of capital, and the process of securities issuance.
Prerequisites: BUSI PS5001 Introduction to Finance/or Professor Approval is required Students will learn the critical corporate finance concepts including financial statement analysis; performance metrics; valuation of stocks and bonds; project and firm valuation; cost of capital; capital investment strategies and sources of capital, and firm growth strategies. At the end of this course students will understand how to apply these concepts to current business problems.
Students will examine the generally accepted account principles (GAAP) underlying financial statements and their implementation in practice. The perspective and main focus of the course is from the users of the information contained in the statements, including investors, financial analysts, creditors and, management. By the end of this class students will be able to construct a cash flow statement, balance sheet and decipher a 10K report.
Students will gain an overview of major concepts of management and organization theory, concentrating on understanding human behavior in organizational contexts, with heavy emphasis on the application of concepts to solve managerial problems. By the end of this course students will have developed the skills to motivate employees, establish professional interpersonal relationships, take a leadership role, and conduct performance appraisal.
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This course is meant to provide an introduction to regression and applied statistics for the social sciences, with a strong emphasis on utilizing the Python software language to perform the key tasks in the data analysis workflow. Topics to be covered include various data structures, basic descriptive statistics, regression models, multiple regression analysis, interactions, polynomials, Gauss-Markov assumptions and asymptotics, heteroskedasticity and diagnostics, data visualization, models for binary outcomes, models for ordered data, first difference analysis, factor analysis, and cluster analysis. Through a variety of lab assignments, students will be able to generate and interpret quantitative data in helpful and provocative ways. Only relatively basic mathematics skills are assumed, but some more advanced math will be introduced as needed. A previous introductory statistics course that includes linear regression is helpful, but not required.
Students will learn fundamental marketing concepts and their application. By the end of this class you will know: the elements of a market, company strategy, how to identify customers and competition, the fundamental elements of the marketing mix (product, price, placement and promotion) how to research consumer behavior, and pricing strategies. Students will have extensive use of case study projects. Please note that tuition is the same for online and on-campus courses, there is an additional $85 course fee for online courses.
The purpose of this course is to provide students with a deep and broad understanding of stories and how they can be used in strategic communication. Drawing from a wealth of evidence-based and field-tested work on storytelling from both local and global contexts, students will learn why stories tend to be so powerful and—with a focus on the written, performed, and transmedia aspects of storytelling—gain experience in telling stories to achieve organizational objectives. Your skills will be sharpened through lively seminar discussions, storytelling exercises, workshop-style coaching, and presentations and on-camera practice. By the end, students will walk away with a new mindset and a host of strategies that can be immediately implemented in their everyday work.
Prerequisites: BUSI PS5020 Introduction to Marketing/or Professor Approval is required Students will develop analytical skills used to formulate and implement marketing driven strategies for an organization. Students will develop a deeper understanding of marketing strategies and how to implement tactics to achieve desired goals. Students will work on case study projects in both individual and a team based projects. By the end of this course you will be able to develop a marketing strategy based market assessments and company needs.
Interested in starting your own company? Do you have an idea for a new product or service? Have you come up with a way to improve something that already exists? This course tackles the central business concept of how one creates, builds and leads companies. It looks at aspects of entrepreneurship and leadership for both individuals and teams in the face of complex situations. Using the case study method as taught in business school, also known as participant-centered learning, this course puts students in the role of an entrepreneur facing critical business decisions. A selection of guest speakers will offer firsthand experience on innovation and entrepreneurship.
This course provides an introduction to computer-based models for decision-making. The emphasis is on models that are widely used in diverse industries and functional areas, including finance, accounting, operations, and marketing. Applications will include advertising planning, revenue management, asset-liability management, environmental policy modeling, portfolio optimization, and corporate risk management, among others. The applicability and usage of computer-based models have increased dramatically in recent years, due to the extraordinary improvements in computer, information and communication technologies, including not just hardware but also model-solution techniques and user interfaces. Twenty years ago working with a model meant using an expensive mainframe computer, learning a complex programming language, and struggling to compile data by hand; the entire process was clearly marked “experts only.” The rise of personal computers, friendly interfaces (such as spreadsheets), and large databases has made modeling far more accessible to managers. Information has come to be recognized as a critical resource, and models play a key role in deploying this resource, in organizing and structuring information so that it can be used productively.
Environmental, social and governance issues (‘ESG’) are moving to center stage for corporate boards and executive teams. This elective course complements management and operations courses by focusing on the perspective and roles of the board and C-suite of corporations, financial institutions and professional firms in addressing ESG risks as well as promoting and overseeing governance aligned with ESG principles. The course focuses on the interchange between the external legal, competitive, societal, environmental and policy ‘ecosystems’ corporations face (which vary around the world) and a company’s internal structure, operations and pressures. We will use the United Nations Guiding Principles on Business and Human Rights and the UN Global Compact Principles (which incorporate all aspects of ESG) as the central frameworks to explore the concept of a corporation’s responsibility to respect and remedy human rights and environmental harms. We will also examine the Equator Principles and other frameworks that spell out good practices for project finance and other investment decisions, and reference a wide range of the myriad indices, supplier disclosure portals and benchmarks that exist in this inter-disciplinary field. Relevant regulations, corporate law regimes and court cases will be discussed from the point of view of what business managers need to know. While most of the course will deal with companies and firms serving global, regional or national markets, several examples will deal with the question of how the ESG ecosystem affects or offers opportunities to start-ups.
Prerequisites: BUSI PS5001 Intro to Finance and BUSI PS5003 Corporate Finance or Professor Approval required. If you have not taken PS5001 or PS5003 at Columbia University, please contact the course instructor for approval. Students will learn about the valuation of publicly traded equity securities. By the end of the semester students will be able to perform fundamental analysis (bottoms-up, firm-level, business and financial analysis), prepare pro forma financial statements, estimate free cash flows and apply valuation models.
Social scientists need to engage with natural language processing (NLP) approaches that are found in computer science, engineering, AI, tech and in industry. This course will provide an overview of natural language processing as it is applied in a number of domains. The goal is to gain familiarity with a number of critical topics and techniques that use text as data, and then to see how those NLP techniques can be used to produce social science research and insights. This course will be hands-on, with several large-scale exercises. The course will start with an introduction to Python and associated key NLP packages and github. The course will then cover topics like language modeling; part of speech tagging; parsing; information extraction; tokenizing; topic modeling; machine translation; sentiment analysis; summarization; supervised machine learning; and hidden Markov models. Prerequisites are basic probability and statistics, basic linear algebra and calculus. The course will use Python, and so if students have programmed in at least one software language, that will make it easier to keep up with the course.
Prerequisites: basic probability and statistics, basic linear algebra, and calculus This course will provide a comprehensive overview of machine learning as it is applied in a number of domains. Comparisons and contrasts will be drawn between this machine learning approach and more traditional regression-based approaches used in the social sciences. Emphasis will also be placed on opportunities to synthesize these two approaches. The course will start with an introduction to Python, the scikit-learn package and GitHub. After that, there will be some discussion of data exploration, visualization in matplotlib, preprocessing, feature engineering, variable imputation, and feature selection. Supervised learning methods will be considered, including OLS models, linear models for classification, support vector machines, decision trees and random forests, and gradient boosting. Calibration, model evaluation and strategies for dealing with imbalanced datasets, n on-negative matrix factorization, and outlier detection will be considered next. This will be followed by unsupervised techniques: PCA, discriminant analysis, manifold learning, clustering, mixture models, cluster evaluation. Lastly, we will consider neural networks, convolutional neural networks for image classification and recurrent neural networks. This course will primarily us Python. Previous programming experience will be helpful but not requisite. Prerequisites: basic probability and statistics, basic linear algebra, and calculus.
Effective leaders are able to think critically about problems and opportunities, imagine unexpected futures, craft a compelling vision, and drive change. In this course, we study the theoretical underpinnings of leadership communication, relying on empirical evidence as a guide for practice. Students gain important perspective on leadership styles, mastering the competencies required for a variety of contexts.
Oral history practitioners understand the critical importance of attentive and active listening during the interview. Even after the recording has ended, listening to the interview is equally vital: in transcribing, archiving, interpreting, curating, and presenting. Thus, this course takes listening to be central to modes of inquiry and amplification, and the oral history interview as both an object to be queried and subject that queries. We will reflect upon how oral histories serve as both primary and secondary sources, and challenge historical inquiry even while uniquely enabling new insights into the past. To do so, the distinguishing features of oral histories--as document, text, medium, dialogue, and publication--will serve as the thematic framework for our reading of key practitioner theorists alongside applied listening to sample oral histories. Drawing on the instructor’s experiences in directing oral history-based public history initiatives, throughout the course we will consider the public life of oral histories beyond the interview--as archive, publication, podcast, and exhibition. In so doing, we will look to understand the role of oral historians as both documentarians and co-creators with their narrators of historical knowledge about the past and present.
In this workshop, OHMA students will deepen their exploration of core tensions in the practice of oral history through the creation of narrative art in a range of genres and forms, including writing and performance. We ask of each form: What lines are marked by conventions of genre, and how do those compare to lines drawn by the ethics of oral history? How can we draw on narrative and performance in our own creative and scholarly contributions to oral history? This class will be a space for experimentation and serious play, where students will discuss questions raised by the work of others, and grapple with those questions by making their own creative work. Pedagogically, we will simultaneously explore two areas of creation: oral history on the page, and oral history in performance. Students will make new work and engage in discussion about existing work. Class time will be spent discussing texts, workshopping students’ creative projects, and participating in activities designed to prompt collaboration and engineered to inspire new work. Over the course of the semester students will write, perform, and create prompts inspired by oral history.
This course provides an opportunity for students in the Economics Master of Arts Program to engage in off-campus internships for academic credit that will count towards their requirements for the degree. The internships will facilitate the application of economic skills that students have developed in the program and prepare them for future work in the field.
An in-depth study of the intricacies of managing technical personnel and management teams in a fast paced and evolving business environment. Emphasis is placed on key challenges including the management of multiple technology projects, software development processes, and communications among technology managers and senior managers, developers, programmers, and customers.
This course explores key knowledge management and organizational learning concepts and techniques that are critical to business, individual, and organizational performance. As technology and the network economy drive businesses to compete under continuously accelerating rates of change in technology, business leaders must incorporate knowledge management and learning into their organization’s activities in ways that support and propel their business goals. They must also be proactive in recognizing and responding to the influence of technology on these goals and environment(s) in which they are accomplished. Class sessions encompass a set of topics including purpose, planning, success measurement, and implementation of knowledge management initiatives and organizational learning techniques. Through lectures and individual and collaborative work, students explore how they can use these techniques to improve business performance and strengthen their leadership and management capabilities.
An in-depth understanding of how to market a business plan and raise capital to launch new ventures. Topics include capital alternatives, confidentiality, meeting analysis, finalizing agreements, and shareholder alternatives. The course requires the design of a venture that contains multiple approaches for investment. Workshop exercises cover methods of negotiating initial investment, management control, and forecasted return-on-investment.
Competition, espionage, theft, sabotage, and warfare, traditionally carried out “in the field” have erupted online. State-sponsored cyber-attacks target critical infrastructure, financial systems, government agencies, political adversaries, retail, and consumer databases, and the intellectual property of technology firms. This course covers the defensive techniques that address perimeter and data security. Business model relationships to security architecture are examined, in particular managing vulnerability introduced through mergers and acquisitions, and Active Directory migrations. Service and Administrative account management and other aspects of network design will be analyzed. Students will investigate recent newsworthy cases and devise countermeasures aimed at both incident prevention and effective CIRT (Cyber Incident Response) management.
Cybersecurity Strategy and Executive Response
This course examines how to develop realistic market plans, forecast schedules, and build effective sales teams for new and ongoing business operations, covering the basic rules of pricing, the positioning of technology products and services for market, how to determine life cycles of new products, and the sales management of complex technology-based teams.
The idea of a “multiverse” is derived from Big Bang and Black Hole cosmology. It posits an infinite set of alternative universes in the space/time continuum — in other words, what we identify as reality. Scientific theory aside, this is precisely what has occurred in the entertainment sphere as a result of advances in entertainment technology. We see how technology has obfuscated the demarcation and delineation lines between entertainment media. Rather than perceiving this as a problem or challenge, this course approaches such an evolution from the point-of-view of infinite possibilities. The breadth of content covered in this course ranges from Creative Commons licenses to the various interactive entertainment development technology platforms used to create games, virtual worlds, social media arenas, and cross-disciplinary initiatives as diverse as online gaming, media, branding, enterprise, government, military, and educational solutions.
Whatever its size, scope, or funding, every nonprofit organization has a governing body authorized to exercise power on behalf of the community it serves, in furtherance of its nonprofit mission. In today’s environment of rapidly increasing transparency combined with the growth of the nonprofit sector, it is critical for nonprofit managers to understand how to lead and govern effectively. This Nonprofit Governance course is designed to prepare students to develop, manage, and work effectively with governing boards of directors and trustees, all of whom have the shared goal of meeting the mission of an organization. Topics include: (1) the work of the board, including legal, ethical and fiduciary oversight; strategic thinking and planning; ensuring resources; (2) the stakeholders involved in governance of an organization, including the board (composition and structure) and shared leadership with other staff and management; and (3) board culture, including board development, board dynamics, meetings, and board engagement.
TBA
This course provides students with the knowledge and techniques needed to lead major re-engineering projects, including reassessment of legacy systems and changing existing business processes. Understanding the differences between reengineering and continuous improvements and benchmarking is covered up-front together with common obstacles to business reengineering success (e.g., resistance to change, etc.) in an effort to drive towards a specific reengineering model. Legacy architectures from de-composable to non-decomposable are covered, and the role of gateways as well. The principles of distributed computing, i.e., object orientation, standards and the enterprise information architecture are covered as well as distributed systems designs and the level of performance testing needed to support them. Case studies are used to reinforce topics.
This is an interdisciplinary workshop for scientists, future NGO workers and journalists seeking skills in communicating 21st-century global science to the public. Scientists will be given journalism skills; journalists will learn how to use science as the basis of their story-telling. The course is designed to give students exercises and real-world experiences in producing feature stories on global science topics. While most scientists and international affairs professionals have been trained to write in the style of peer-reviewed journals, we will focus on journalism techniques, learning how to translate global science into accessible true stories that reach wide audiences. Science is performed by passionate individuals who use their intelligence and determination to seek answers from nature. By telling their histories and uncovering the drama of discovery, we believe that there are ways for science to be successfully communicated to readers who might otherwise fear it.
This course enables students to understand the impact of IT on an organization’s transformative objectives. Students learn how to integrate IT as the key driver for business process change and for continuous improvement in incremental gains and for selective reengineering to effectuate substantial breakthroughs in process performance. Students will develop an in-depth understanding of how technology can have a push-effect on an organization’s processes and of the factors that must be in-synch to facilitate such an effect, e.g., organizational desire for change, corporate culture, and the strategic role that IT leaders must play in working together with the lines of business to effectuate this change.