This course is designed to the interdisciplinary and emerging field of data science. It will cover techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science to enhance the understanding of complex data. Students will be required to complete several scripting, data analysis and visualization design assignments as well as a final project. Topics include: data and image models, social and interactive visualizations, principles and designs, perception and attention, mapping and cartography, network visualization. Computational methods are emphasized and students will be expected to program in R, Javascript, D3, HTML and CSS and will be expected to submit and peer review work through Github. Students will be expected to write up the results of the project in the form of a conference paper submission.
An introduction to Bayesian statistical methods with applications to the social sciences. Considerable emphasis will be placed on regression modeling and model checking. The primary software used will be Stan, which students do not need to be familiar with in advance. Students in the course will access the Stan library via R, so some experience with R is necessary. Any QMSS student is presumed to have sufficient background. Any non-QMSS students interested in taking this course should have a comparable background to a QMSS student in basic probability. Topics to be covered are a review of calculus and probability, Bayesian principles, prediction and model checking, linear regression models, Bayesian calculations with Stan, hierarchical linear models, nonlinear regression models, missing data, and decision theory.
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: Undergraduate Statistics This course introduces students to basic spatial analytic skills. It covers introductory concepts and tools in Geographic Information Systems (GIS) and database management. As well, the course introduces students to the process of developing and writing an original spatial research project. Topics to be covered include: social theories involving space, place and reflexive relationships; social demography concepts and databases; visualizing social data using geographic information systems; exploratory spatial data analysis of social data and spatially weighted regression models, spatial regression models of social data, and space-time models. Use of open-source software (primarily the R software package) will be taught as well.
This course is intended to provide a detailed tour on how to access, clean, “munge” and organize data, both big and small. (It should also give students a flavor of what would be expected of them in a typical data science interview.) Each week will have simple, moderate and complex examples in class, with code to follow. Students will then practice additional exercises at home. The end point of each project would be to get the data organized and cleaned enough so that it is in a data-frame, ready for subsequent analysis and graphing. Therefore, no analysis or visualization (beyond just basic tables and plots to make sure everything was correctly organized) will be taught; and this will free up substantial time for the “nitty-gritty” of all of this data wrangling.
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.
Machine learning algorithms continue to advance in their capacity to predict outcomes and rival human judgment in a variety of settings. This course is designed to offer insight into advanced machine learning models, including Deep Learning, Recurrent Neural Networks, Adversarial Neural Networks, Time Series models and others. Students are expected to have familiarity with using Python, the scikit-learn package, and github. The other half of the course will be devoted to students working in key substantive areas, where advanced machine learning will prove helpful -- areas like computer vision and images, text and natural language processing, and tabular data. Students will be tasked to develop team projects in these areas and they will develop a public portfolio of three (or four) meaningful projects. By the end of the course, students will be able to show their work by launching their models in live REST APIs and web-applications.
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.
This course is a survey of the documentary craft and industry through the lens of the documentary relationship. We will define the documentary relationship as those relations organic to the process of crafting documentary. Those can be between narrator and producer, between collaborators, and between material and meaning. We will ask questions about craft, ethics, and power within documentary work and workshop short documentary works of our own
From a global perspective, many of the earth’s most important environments and resources for global sustainability are located in marine and estuarine areas. This class will explore open-ocean and estuarine processes, reviewing what is known about the temporal variability and interconnectedness of these physical and biologic systems.. A few examples include; 1.) oceanic environments were incompletely understood processes regulate the exchange of heat, water and carbon dioxide gas with the atmosphere, 2.) the relationship between nutrients and primary production and fisheries in open ocean, estuarine and coral reef environments and climatic phenomenon such as El Niño South Oscillation (ENSO), the Pacific Decadal Oscillation (PDO) and Atlantic Multidecadal Oscillation (AMO). 3.) For estuaries, current sea level and urbanization stresses on the coastal environments will be discussed. Professionals working in the environmental and engineering fields will benefit from a wide-ranging discussion of the multi-scaled processes influencing estuaries. Knowledge of the processes operating in these environments will lead to a more thorough understanding of the complex issues that may influence infrastructure and coastal development in and around estuarine environments in the near-future. Throughout the class we will explore marine and estuarine processes by studying regional and local responses to broader scale climatic forcing. Reading of textbook chapters and journal articles will supplement in-class lectures and discussion. Grading will be based on class participation, a two exams and a research paper. At the end of the course, students will have a strong scientific understanding about the impacts made on marine and estuary systems through physical, chemical, and biological processes. The course will prepare students to be well-trained in the core features of these systems and the relationship between natural and human processes, and equip them with the skills needed to explore marine and estuary systems in diverse scales and functions in the future.
From a global perspective, many of the earth’s most important environments and resources for global sustainability are located in marine and estuarine areas. This class will explore open-ocean and estuarine processes, reviewing what is known about the temporal variability and interconnectedness of these physical and biologic systems.. A few examples include; 1.) oceanic environments were incompletely understood processes regulate the exchange of heat, water and carbon dioxide gas with the atmosphere, 2.) the relationship between nutrients and primary production and fisheries in open ocean, estuarine and coral reef environments and climatic phenomenon such as El Niño South Oscillation (ENSO), the Pacific Decadal Oscillation (PDO) and Atlantic Multidecadal Oscillation (AMO). 3.) For estuaries, current sea level and urbanization stresses on the coastal environments will be discussed. Professionals working in the environmental and engineering fields will benefit from a wide-ranging discussion of the multi-scaled processes influencing estuaries. Knowledge of the processes operating in these environments will lead to a more thorough understanding of the complex issues that may influence infrastructure and coastal development in and around estuarine environments in the near-future. Throughout the class we will explore marine and estuarine processes by studying regional and local responses to broader scale climatic forcing. Reading of textbook chapters and journal articles will supplement in-class lectures and discussion. Grading will be based on class participation, a two exams and a research paper. At the end of the course, students will have a strong scientific understanding about the impacts made on marine and estuary systems through physical, chemical, and biological processes. The course will prepare students to be well-trained in the core features of these systems and the relationship between natural and human processes, and equip them with the skills needed to explore marine and estuary systems in diverse scales and functions in the future.
Digital media opens new opportunities for increasingly targeted communications across a variety of channels, which rapidly expands the importance of analytics in tracking and measuring key performance indicators (KPIs). This course prepares students to work within data- and model-driven environments with an emphasis on using analytics to develop insights and support strategic decisions.
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.
Complexity of Conflict and Change Management (NECR K5095) is an elective course in the Negotiation and Conflict Resolution (NECR) Program. The course explores how change can create conflict and also how conflict requires change. Conflict is generally about differences in how people think, know, prefer, believe, and understand. By entering into a conflict resolution process, people can shift their understanding and beliefs about the conflict, the other party or parties, and possible outcomes. The course reviews literature and case studies of how people are impacted at a fundamental level when change occurs. Understanding this elemental human experience can lead to greater self-awareness and the ability to manage change professionally and personally, in order to become effective change agents, negotiators, mediators, and peacemakers. We will also explore how leaders at all levels in organizations can play an important role in implementing change in an organizational context. Thoughtful and strategic approaches that consider the impact of a change management process can mitigate and even prevent conflict. We will review change management models and links to developments in neuroscience and how humans are biologically wired to resist change. Balancing theory and practice, this course will focus on the experience and expertise of the students. They will learn to apply practical conflict resolution approaches to change efforts at the individual and organizational levels as well as consider national and international applications.
An overview of the major developments in the art and industry of cinema in the Arab World and Africa, ranging from its earliest days to the most recent works of the digital era. Arab and African filmmakers, especially since the Sixties, have developed dynamic national cinemas that have sought to tell their own stories in their own ways—even when those accounts often reveal problems and contradictions in their societies. The interaction of Arab and African filmmakers with international movements such as neorealism, modernism, cinema vérité, and postmodernism will be addressed. Among the filmmakers to be studied are Youssef Chahine, Elia Suleiman, Ousmane Sembene and Abderrahmane Sissako. A visit will be planned to Paris's Institut du Monde Arabe, and several classes will feature visits by Arab and African filmmakers as well as critics and scholars of Arab and African cinema.
This course is designed to familiarize the students with the history of Afghan cinema and analyze the challenges of the growth and development of cinema in this country; to investigate the influence of political and historical unrest on Afghan cinema and the position of Afghan cinema in the region and in the world; to screen
the films of the history of Afghan cinema, along with analysis and criticism to understand the style and structure of these films and the culture and customs reflected in these works; and to study Afghan cinema directors, with an overview of their film activities and online discussions with some directors.
During the semester, scholars are asked to watch some films, and to criticize and analyze these films, as well as articles related to the written assignment topics.
The course will be taught in Dari, with simultaneous English interpretation.
Foundational ERM course. Addresses all major ERM activities: risk framework; risk governance; risk identification; risk quantification; risk decision making; and risk messaging. Introduces an advanced yet practical ERM approach based on the integration of ERM and value-based management that supports integration of ERM into decision making. Provides a context to understand the differences between (a) value-based ERM; (b) traditional ERM; and (c) traditional "silo" risk management.
Foundational ERM course. Addresses all major ERM activities: risk framework; risk governance; risk identification; risk quantification; risk decision making; and risk messaging. Introduces an advanced yet practical ERM approach based on the integration of ERM and value-based management that supports integration of ERM into decision making. Provides a context to understand the differences between (a) value-based ERM; (b) traditional ERM; and (c) traditional "silo" risk management.
Foundational ERM course. Addresses all major ERM activities: risk framework; risk governance; risk identification; risk quantification; risk decision making; and risk messaging. Introduces an advanced yet practical ERM approach based on the integration of ERM and value-based management that supports integration of ERM into decision making. Provides a context to understand the differences between (a) value-based ERM; (b) traditional ERM; and (c) traditional "silo" risk management.
Foundational ERM course. Addresses all major ERM activities: risk framework; risk governance; risk identification; risk quantification; risk decision making; and risk messaging. Introduces an advanced yet practical ERM approach based on the integration of ERM and value-based management that supports integration of ERM into decision making. Provides a context to understand the differences between (a) value-based ERM; (b) traditional ERM; and (c) traditional "silo" risk management.
TBD
This course is designed to provide students with introductory knowledge and basic skills they will need to understand and apply as they progress through the program. Students receive an overview of key topics that will be covered in greater detail through core courses and electives during subsequent terms. Each class session provides a primer on a specific area of vital importance, including construction techniques, legal issues, contracts, blueprint reading, scheduling, sustainability, claims and more. Upon completion students will be familiar with basic concepts, terminology and procedures associated with the industry, and well prepared to study these subjects in greater depth.
This required NECR course will introduce the concepts and skills of mediation, a type of third-party conflict intervention. This course will provide students with theory, research, and practice to effectively use mediation skills in a wide variety of contexts. Mediation practices are frequently applied to a variety of conflicts and are employed in conflict resolution strategies. Thus it is imperative for a conflict resolution practitioner to develop knowledge and skills of this practice. In this course students will be introduced to mediation philosophies, approaches, applications, and skills through readings, scholarly reflections, role-plays, a collaborative group project, and a term paper. This course will provide a deeper understanding of problem-solving and relational styles of mediation and the goals aligned with each. Students will learn to identify when mediation is appropriate, prepare for a mediation, employ communication skills, deal with negative emotions, address ethical dilemmas, and consider the cultural influences surrounding the parties and conflict.
Prerequisite: NECR 5105 Introduction to Negotiation
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In this course, we will explore negotiation from several points of view and approaches. We will also look at characteristics that impact the quality of our negotiations and the outcomes, such as the role of emotions, cultural considerations, effectiveness of our communication, and opportunities to seek out negotiation to transform relationships. The course will be a blend of concepts and skills, theory and practice. On some occasions, you will be introduced to a concept and then asked to apply those concepts in an experiential activity. At other times, you will be asked to engage the activity or simulation and then the concepts will be elicited based on your experience. You will have several opportunities to practice developing your skills throughout the course, in terms of enhancing your practice and honing your analytical and conceptual understanding.
TBA
In a number of academic disciplines the concern with relationships between humans and non-humans has recently resulted in a radical revision of the ways in which we think people and animals construct their social worlds. This course addresses how humans and animals enter into, and interact within, each other's worlds. It draws upon perspectives from anthropology, geography, (political) philosophy, ethics, literary theory, and the sciences, placing current debates within the context of the deep history of human-animal relations. Topics to be discussed include "wildness", domestication, classification, animal rights, biotechnology, "nature/culture", food/cooking, fabulous/mythical animals, the portrayal of animals in popular culture, and human-animal sexualities.
This reading-intense seminar will explore key primary sources and historiography of the period 1880-1910: decades of cultural transition and innovation;
décadence
and modernism; beginnings and 'fins,’ explorations into the subconscious and mass behaviors. Simultaneity and duality will be our guiding concepts. We will focus on Paris as an epicenter of artistic exchange, Vienna as a cultural heartland of fin-de-siècle Europe, and Eastern Europe as a hotbed of radical mass politics. We will investigate key philosophical, social and political phenomena of an epoch described as “the crucible of modernity:” shifting ways of seeing, working and consuming; an era of sexual experimentation (bachelor, dandy, New Woman); conceptions of the self (Freud’s concept of the subconscious) and the society (crowd, mass politics, revolution, empire, nation-building). We will work with a premise that culture and politics should be studied in a transnational context (i.e. 19th century forms of statehood and economic life) and in a cross-disciplinary way, considering how literary texts were shaped alongside works in other spheres: visual arts, architecture, science, philosophy, early cinema, sexuality, social and political life. By underscoring the overarching themes of decline and rebirth, this course engages with shifting ways of thinking about the transition from the nineteenth to the twentieth century.
A comprehensive introduction to the principles, methods and tools required for the development and implementation of scheduling in the construction industry. Topics covered include: the crucial role of the scheduling development plans, budgeting and its impact on project timelines, identification and analysis of critical paths (CPM), resource and cost loading, schedule updating, and schedule management. Coursework is integrated with hands‐on utilization of Oracle Primavera P3 and P6 scheduling and Microsoft Project 2007 software. Students may need to bring their own laptops/notebooks for some class sessions. Guest lecturers may be featured for certain topics.
OBJECTIVE:
This course should prepare the student to prepare a CPM schedule, calculate the schedule manually or by use of computer software, evaluate the output of such software, and present such analysis both to field personnel for implementation and to upper management for overview.
This course provides an examination of the role the technology leader plays in the daily operations and performance management of an organization. The course focuses on how tech leaders can manage both up and down within their organizations through critical examination of current IT topics such as Outsourcing, Cloud Computing, Enterprise Architecture (as a strategy), Information Security, Risk Management, IT Governance, and determining/communicating the business value of IT. Students leave the course with a deep understanding of the dramatically different priorities, skills, and actions required to succeed as an IT leader.
An examination of the legal issues and challenges confronting today’s technology executives. The course covers copyright, patent infringement, outsourcing contracts, electronic commerce law, intellectual property, and methods of establishing and monitoring legal policies as they relate to the use and security of current and emerging technologies. Course content may be amended at any time in response to changes in legislation as well as developments in the industry.
Strategic advocacy is defined as establishing personal and functional influence by means of cultivating alliances and defining opportunities adding value to the revenues and profits of any organization. This course focuses on the processes and competencies necessary for initiating strategically focused technology-related business conversations. Particular attention is given to the transitions in focus and mindsets necessary for moving from a technical/functional to a business model orientation. Conceptual frameworks, research, and practical applications are part of the design. Topics include: the political economy of exercising executive influence; expert and strategic mindsets; strategic learning and planning; and mapping the political territory. Students will apply theory to their own career related challenges.
Energy Management is the cornerstone of any sustainability initiative. The generation, distribution, and use of energy has a profound, continuous, and global impact on natural resources, societal structure, and geopolitics. How energy is used has significant repercussions on an organizations cash flow and profitability. For these reasons, energy issues tend to be the fulcrum upon which sustainability programs hinge.
The ability to identify and articulate organizational benefits from energy savings tied to efficiency improvements and renewable energy projects is a requisite skill set for all sustainability managers.
This course will provide real-world information on energy management issues from a practitioner's perspective. Through lectures, problem sets, and readings students will learn how to manage energy audits, analyze building energy performance, and evaluate the energy use and financial impacts of potential capital and operations improvements to building systems. The class will focus on understanding energy issues from a building owner’s perspective, with discussions also examining energy issues from the perspective of utility companies, energy generators, and policy makers.
Best practice in energy management will always involve some level of complex engineering to survey existing conditions and predict energy savings from various improvement options. Sustainability managers need to understand how to manage and quality control these analyses and to translate to decision makers the opportunity they reveal. This course seeks to empower students to do that by providing an understanding of building systems and methods for quantitatively analyzing the potential benefit of various energy improvements.
Energy Management is the cornerstone of any sustainability initiative. The generation, distribution, and use of energy has a profound, continuous, and global impact on natural resources, societal structure, and geopolitics. How energy is used has significant repercussions on an organizations cash flow and profitability. For these reasons, energy issues tend to be the fulcrum upon which sustainability programs hinge.
The ability to identify and articulate organizational benefits from energy savings tied to efficiency improvements and renewable energy projects is a requisite skill set for all sustainability managers.
This course will provide real-world information on energy management issues from a practitioner's perspective. Through lectures, problem sets, and readings students will learn how to manage energy audits, analyze building energy performance, and evaluate the energy use and financial impacts of potential capital and operations improvements to building systems. The class will focus on understanding energy issues from a building owner’s perspective, with discussions also examining energy issues from the perspective of utility companies, energy generators, and policy makers.
Best practice in energy management will always involve some level of complex engineering to survey existing conditions and predict energy savings from various improvement options. Sustainability managers need to understand how to manage and quality control these analyses and to translate to decision makers the opportunity they reveal. This course seeks to empower students to do that by providing an understanding of building systems and methods for quantitatively analyzing the potential benefit of various energy improvements.