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.
Prerequisites: at least four terms of Greek, or the equivalent. An intensive review of Greek syntax with translation of English sentences and paragraphs into Attic Greek.
In this course, students will critically analyze and consider the successes and challenges facing the NFL. Specifically, students will be tasked with identifying what accounts for its success as both a corporate and cultural institution; what lessons can be drawn from the success of the NFL that could pertain to other industries, whether in professional sports or elsewhere; and importantly, how the NFL is actually run as a business. Students will take a deep dive into a variety of subjects within the business of the NFL have first-hand access to NFL insiders from a variety of sectors within the league, and be tasked with cultivating business, marketing, leadership and general decision-making skills drawn from real-world experiences within the NFL.
Aquatic systems are critical for provisioning ecosystem services that have sustained human civilization as evidenced by the establishment of the earliest civilizations on banks of rivers or along a coast. Apart from regulating climate, aquatic systems provide food and transportation services, fresh water lakes and reservoirs provide water for consumption and irrigation, and coastal systems offer recreational services. But growing human population, especially along the coast, has endangered the quality of ecosystem services. The primary finding of the Millennium Ecosystem Assessment was that 15 out 24 ecosystem services examined are being degraded or being used unsustainably (MEA 2005). Monitoring the aquatic ecosystem and understanding how to distinguish between anthropogenic and natural variability is an essential aspect of sustainability science. This course will provide an introduction to the use of remote sensing techniques that can be used to study the aquatic environment. There are several space-based sensors that provide information relevant to sustainable management of aquatic resources. Depending on the sensor, observations are made as frequently as every day and spatially covering the entire globe. Understanding the spatial and temporal context around an issue can help discriminate between local and far field effects and time series of remote sensing data can be constructed to investigate causes and consequences of environmental events. Thus knowledge of the basic science of remote sensing, understanding how to select the appropriate sensor to answer a question, where to find the data and how to analyze this data could be critical tools for anyone interested in oceanic, coastal, and freshwater resource management. The course will follow active learning techniques and will consist of a lecture to introduce concepts followed by a discussion and lab time for hands on activities to learn and use tools for analysis of remote sensing data. After the introduction of the basic principles of remote sensing, a series of case studies will be used to explore concepts in sustainability such as water quality, nutrient loading and hypoxia, coral reefs. Remote sensing tools that are used to investigate and address environmental questions such as the effects of shutting down a sewage treatment plant, mapping of suspended sediment concentrations will be demonstrated and used by the students. Each case study will be briefly introduced at the end of the previo
APPLIED ANALYTICS FRAMEWORKS & METHODS I
APPLIED ANALYTICS FRAMEWORKS & METHODS I
Weekly lectures will introduce film grammar, textual analysis, staging, the camera as narrator, pre-visualization, shot progression, directorial style, working with actors and editing. Lectures by all members of the full time directing faculty anchor the class, highlighting a range of directorial approaches with additional lectures on the techniques and aesthetics of editing. Each lecture will be supported by visual material from master film directors as well as the examples of the short films students will be required to produce in their first two semesters. For the final 7 weeks of the term, a student fellow will be available to mentor students through the planning of their 3-5 films.
Financial Psychology focuses on the intersection of human psychology and wealth
management and the basic elements of consumer behavior. Students will explore
all of the biases, behaviors and perceptions that impact client decision-making and
financial well-being. Most importantly, this course is specifically designed to help
prepare the advisor to better understand all of the factors that impact client
decisions in an effort to help them achieve their own personal goals.
Prerequisites: graduate standing. Introductory survey of major concepts and areas of research in social and cultural anthropology. Emphasis is on both the field as it is currently constituted and its relationship to other scholarly and professional disciplines. Required for students in Anthropology Department's master degree program and for students in the graduate programs of other departments and professional schools desiring an introduction in this field.
A multitude of approaches guide the practitioner when faced with a problem. In conflict resolution, these approaches stem from a range of disciplines, whether from psychology, social psychology, political science, international relations, clinical psychology or even from quantum theory and the latest advances in neuroscience. From this palette of theories, frameworks, and models, the avid and adequately equipped practitioner is able to engage with the conflicts arising from various situations. Ideally, he/she is able to prevent, reduce, mitigate or to de-escalate the conflict to such a degree that actors are able to constructively engage in handling their issues. The competence to understand the drivers and triggers of conflict, and the motives that actors have to engage in conflict is derived from the practitioner’s capacity and capability to be flexible, adaptable, and critical in deploying the knowledge and tools appropriate to resolve any conflict, whether international, communal, organizational or interpersonal. Using a combination of analysis and case studies, this course explores the intersection of theory and analysis, covering the various concepts and frameworks available in the field and applying them to current situations. The critical engagement with the discipline allows students to improve their critical thinking skills, asking a range of questions to appraise the validity of each introduced concept and model, thereby reflecting proactively on whether or not a theory is useful and applicable in explaining the myriad phenomena emerging from a conflict. Knowing when a theory is advantageous to allow for the investigation into what drives, triggers, and motivates the behaviors, attitudes, or emotions of conflict parties immerses students into the reality and practicality of dealing with complex issues and the pitfalls of making recommendations short of viable entry points for leveraging peace and bringing a potentially protracted conflict to a different pathway. The acquired competences are applicable not only towards the program, but also beyond the program as students will be empowered to reflect critically on a text, understand the internal and external validity of a theory, circumvent logical errors, focus on concise and cohesive line of argumentation, and apply results-based recommendations. These skills and competences are applicable to any position requiring analytical, writing, and presentation skills. This course builds on and expands the learnings from PS5101. It is a core course, allo
Prerequisites: At least one semester of calculus. A calculus-based introduction to probability theory. Topics covered include random variables, conditional probability, expectation, independence, Bayes rule, important distributions, joint distributions, moment generating functions, central limit theorem, laws of large numbers and Markovs inequality.
Prerequisites: STAT GR5203 or the equivalent, and two semesters of calculus. Calculus-based introduction to the theory of statistics. Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals, maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.
Prerequisites: STAT GR5203 and GR5204 or the equivalent. Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.
Corequisites: STAT GR5204 and GR5205 or the equivalent. Introduction to programming in the R statistical package: functions, objects, data structures, flow control, input and output, debugging, logical design, and abstraction. Writing code for numerical and graphical statistical analyses. Writing maintainable code and testing, stochastic simulations, paralleizing data analyses, and working with large data sets. Examples from data science will be used for demonstration.
Corequisites: GR5203 or the equivalent. Review of elements of probability theory. Poisson processes. Renewal theory. Walds equation. Introduction to discrete and continuous time Markov chains. Applications to queueing theory, inventory models, branching processes.