Kompleks Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi. Gedung D Lantai 18, Jalan Jenderal Sudirman, Pintu Satu, Senayan, Jakarta, Indonesia 10270
The University of Pennsylvania
United States of America
Penn is a private urban research university with over 10,000 undergraduate students studying in the schools of Arts and Sciences, Engineering and Applied Science, Business (Wharton School), and Nursing; and over 10,000 graduate/professional students studying in these schools as well as in the schools of Communication, Dental Medicine, Education, Design, Law, Medicine, Social Work, and Veterinary Medicine. Penn’s students come from all fifty U.S. states and 128 foreign countries. Over 4,000 of Penn’s students are international.
This course examines how we as consumers in the “Western” world engage with musical difference largely through the products of the global entertainment industry. We examine music cultures in contact in a variety of ways– particularly as traditions in transformation. Students gain an understanding of traditional music as live, meaningful person-to-person music making, by examining the music in its original site of production, and then considering its transformation once it is removed, and recontextualized in a variety of ways. The purpose of the course is to enable students to become informed and critical consumers of “World Music” by telling a series of stories about particular recordings made with, or using the music of, peoples culturally and geographically distant from the US. Students come to understand that not all music downloads containing music from unfamiliar places are the same, and that particular recordings may be embedded in intriguing and controversial narratives of production and consumption. At the very least, students should emerge from the class with a clear understanding that the production, distribution, and consumption of world music is rarely a neutral process.
This course explores a broad media landscape through new critical and conceptual approaches. It is designated as a Benjamin Franklin Seminar. This course maps the footprints of television at a global scale. Adopting comparative approaches, we will be studying TV’s formation of national and global discourses, and thereby recognizing not only television’s impact on processes of globalization, but also the ability of television to matter globally. Working through concepts of “broadcasting,” “flow,” “circulation,” and “circumvention,” the course examines the movement of (and blocks encountered by) television programs and signals across national borders and cultures. The course particularly focuses on how global television cultures have been transformed due to shifts from broadcasting technologies to (Internet) streaming services? Navigating from United States and Cuba to India and Egypt, the readings in the course illuminate how particular televisual genres, institutions, and reception practices emerged in various countries during specific historical periods.
According to the U.S. Census, there are approximately 21 million Asian residents in the U.S. that comprise almost 6 percent of the total population. This relatively small number disguises the critical experiences Asian American communities face in both the local and transnational context. Yet, Asian Americans constitute one of the most heterogeneous racial groups within the U.S. Over the course of this semester we will read about and actively discuss the history of Asian immigration to the U.S., the social construction and experience of race in the U.S., and the political, economic, and cultural contributions of Asian Americans. We will also examine how Asian Americans negotiate/deploy their culture and ethnicity to achieve recognition in multicultural America and how the construction of Asian American identity intersects with class, gender, and sexuality.
This course will examine how and when data can be used specifically to infer whether there is a causal relationship between two variables. We will emphasize (a) the critical role of an underlying economic theory of behavior in interpreting data and guiding analysis, as well as (b) a range of advanced techniques for inferring causality from data, such as randomized controlled trials, regression discontinuity, difference-in-difference, audit study (mystery shopping) approaches and stock-market event studies. The issue of causality, and the relevance of thinking about models and methods for inferring causality, is just as central and important for “Big Data” as it is when working with traditional data sets in business and public policy. The emphasis will not be on proofs and derivations but rather on understanding the underlying concepts, the practical use, implications and limitations of techniques. Students will work intensively with data, drawing from examples in business and public policy, to develop the skills to use data analysis to make better decisions. All analysis will be conducted using R. The goals of the course are for students to become expert consumers able to interpret and evaluate empirical studies as well as expert producers of convincing empirical analysis themselves.
Introduction to economic analysis and its application. Theory of supply and demand, costs and revenues of the firm under perfect competition, monopoly and oligopoly, pricing of factors of production, income distribution, and theory of international trade. Econ 1 deals primarily with microeconomics.
This course covers econometric methods, machine learning methods, and their interface, focusing on aspects of estimation, inference, and prediction in causal and non-causal environments. Topics may include Bayesian learning; recursive estimation and optimal filtering; randomized controlled trials and their approximation; latent variables; classification; topic analysis; LDA models; neural networks; random forests; regularization (shrinkage, selection, …); network estimation and description.
Data Science for studying Language and the Mind is an entry-level course designed to teach basic principles of data science to students with little or no background in statistics or computer science. Students will learn to identify patterns in data using visualizations and descriptive statistics; make predictions from data using machine learning and optimization; and quantify the certainty of their predictions using statistical models. This course aims to help students build a foundation of critical thinking and computational skills that will allow them to work with data in all fields related to the study of the mind (e.g. linguistics, psychology, philosophy, cognitive science).
This is a course on how language relates to other cognitive systems. We will discuss the question of whether and how the language one speaks affects the way one thinks, the relation between words and concepts, the link between language acquisition and conceptual development in children, and the potential role of language in shaping uniquely human concepts. The course incorporates cross-linguistic, cross-cultural and developmental perspectives and combines readings from linguistics, psychology, philosophy, neuroscience and other fields within cognitive science.
Topics from among the following: logic, sets, calculus, probability, history and philosophy of mathematics, game theory, geometry, and their relevance to contemporary science and society. Prerequisite: May also be counted toward the General Requirement in Natural Science & Mathematics.
Recent technological changes have raised awareness of the magnitude and devastating long-term effects of poverty, food insecurity, limited and unequal access to education, and other social issues. Coupled with growing awareness of these issues is the emerging sense that traditional government programs and charities may be unable to solve these problems – at least, not alone. What may be needed are new strategies – strategies borne of (a) a deep understanding of the issues; (b) interdisciplinary collaboration; and (c) access to business knowledge, frameworks, and resources. This course is designed to provide the information, strategies, examples, and analytical mindset to make students more rigorous, insightful, and effective in analyzing social ills and crafting potential solutions. Together, a cross-disciplinary group of undergraduate students, including students in Wharton, the College, and other Penn Schools, will examine the nature and extent of two pressing social problems – food insecurity and barriers to post-secondary education – and current approaches to solving these problems
This course focuses on venture capital management issues in the context of a high-growth potential start-up company. The course is motivated by rapid increases in both the supply of and demand for private equity over the past two decades. The topic is addressed from two distinct perspectives: issues that relate to the demand for private equity and venture capital (the entrepreneur’s perspective) on the one hand, and issues that relate to the supply of capital (the investor’s perspective) on the other. As well, we will address management issues that relate to how the VC and the entrepreneur work together once an investment has been made, compensation issues, and governance issues in the privately held venture capital backed company. Format: Case/discussion format, supplemented by lectures and guest speakers. Requirements: Classroom participation, written case assignments, late midterm. Materials: Required Coursepack and supplemental recommended reading.
Ethics is the study of right and wrong behavior. This introductory course will introduce students to major ethical theories, the possible sources of normativity, and specific ethical problems and questions. Topics may include euthanasia, abortion, animal rights, the family, sexuality, bioethics, crime and punishment and war.
This course will provide an overview of major figures and themes of modern political thought. We will focus on themes and questions pertinent to political theory in the modern era, particularly focusing on the relationship of the individual to community, society, and state. Although the emergence of the individual as a central moral, political, and conceptual category arguably began in earlier eras, it is in the seventeenth century that it takes firm hold in defining the state, political institutions, moral thinking, and social relations. The centrality of “the individual” has created difficulties, even paradoxes, for community and social relations, and political theorists have struggled to reconicle those throughout the modern era. We will consider the political forms that emerged out of those struggles, as well as the changed and distinctly “modern” conceptualizations of political theory such as freedom, responsibilty, justice, rights and obligations, as central categories for organizing moral and political life.
This course provides an introduction to the basic topics of psychology including our three major areas of distribution: the biological basis of behavior, the cognitive basis of behavior, and individual and group bases of behavior. Topics include, but are not limited to, neuropsychology, learning, cognition, development, disorder, personality, and social psychology.
Sociology provides a unique way to look at human behavior and social interaction. Sociology is the systematic study of the groups and societies in which people live. In this introductory course, we analyze how social structures and cultures are created, maintained, and changed, and how they affect the lives of individuals. We will consider what theory and research can tell us about our social world.
Technological infrastructure shapes what forms of political life are possible within a society. Political campaigns, investigative journalism, public engagement, protest, government – all unfold on different time scales, in different forms, and with different consequences depending on what machines mediate them. This course explores the forms of American political life that have taken shape in and through modern digital computing. We will investigate especially a perceived tension at the heart of computing technologies – from artificial intelligence to social media – as they have been introduced to so many corners of American political life: Are computing technologies agents of liberation, or of control? The internet, for example, was embraced by some as an inherently democratizing and liberating force, giving users equal access to voice and information. On the other hand, many feared the internet as an unprecedented platform for corporate and government surveillance and manipulation. This course will analyze and historicize this tension, looking to unpack the complex and controversial role of computers in American political life from the Cold War to @POTUS.
The purpose of this course is to present a variety of narrative genres and to discuss and illustrate the modes whereby they can be analyzed. We will be looking at shorter types of narrative: short stories, novellas, and fables, and also some extracts from longer works such as autobiographies. While some works will come from the Anglo-American tradition, a larger number will be selected from European and non-Western cultural traditions and from earlier time-periods. The course will thus offer ample opportunity for the exploration of the translation of cultural values in a comparative perspective.
Thinking, judgment, and personal and societal decision making, with emphasis on fallacies and biases.
Students who take this course will engage with the world of data science using tools such as Tableau and R that are becoming increasingly popular in industry. The second half of the course extends students’ experience to industry applications of text mining and machine learning and requires students to work with more unstructured data. Each week of the course will be devoted to analysis of a data set from a particular industry (e.g. HR, sports, fashion, real estate, music, education, politics, restaurants, non-profit work), which we will use to answer business questions by applying analytic techniques. The course is very hands-on, and students will be expected to become proficient at applying data to business decisions and at effectively analyzing large data sets to inform decisions about business problems.
Public perceptions and attitudes concerning the causes and importance of globalwarming have changed. Global Climate Change provides a sound theoretical understanding of global warming through an appreciation of the Earth’s climate system and how and why this has changed through time. We will describe progress in understanding of the human and natural drivers of climate change, climate pr0cesses and attribution, and estimates of projected future climate change. We will assess scientific, tehnical, and socio-economic information relevant for the understanding of climate change, its potential impacts and options for adaptation and mitigation.