wharton undergraduate course descriptions

We will take a perspective of both established and emerging firms competing through technological innovations, and study the key strategic drivers of value creation and appropriation in the context of business ecosystems. 2023-24 Catalog. It also offers students the opportunity to develop their critical thinking on topics such as identity, relationships across difference, discrimination and bias, equality, and equity in organizations and society and how they relate to organizational issues of power, privilege, opportunity, inclusion,creativity and innovation and organizational effectiveness. His suggestion was a radical one, but also remarkably prescient. It can also be taken by others interested in the mathematics of personal finance and the use of mortality tables. People in the workplace are constantly interacting with peers, managers, and customers with very different backgrounds and experiences. We will discuss the challenges faced by founders in different global contexts, the components of a robust institutional ecosystem, and the ways in which creative solutions may flourish in response to local problems. 1916: AACSB founded initially as the Association of Collegiate Schools of Business (ACSB); constitution is adopted June 17, 1916. Data miningthe automated extraction of actionable insights from datahas revolutionized each of these realms in the 21st century. How are these things related? STAT 5160 is a natural continuation of STAT 5150, and the main focus is on asymptotic evaluations and regression models. The materials require thoughtful preparation. In addition to prerequisites, some knowledge of microeconomics is suggested. The project would have sufficient breadth and depth to require participants to draw upon multiple analytical perspectives, theoretical lenses, and stocks of empirical data to collaboratively develop distinctive insights in relation to a given problem. Requirements include: class participation; in-class quizzes; interviewing someone you know to ask how technology has affected their work life; and the In Hindsight group assignment looking back on past scares about a particular technologys impact on work - and what actually happened. Prerequisite: STAT 5030, 7050, or 7700 or equivalent background acquired through a combination of online courses that teach the R language and practical experience. Emphasis will be placed on the strategic interaction among rival sellers. Contemporary methods such as KNN (K nearest neighbor), Random Forest, Support Vector Machines, Principal Component Analyses (PCA), the bootstrap and others are also covered. We pay special attention to the unique challenges of taking on that role for the first time. Prerequisite: Two courses at the statistics 4000 or 5000 level. The class size is limited to eight students to allow you the opportunity to practice communicating every week. And it will introduce students to practical tools for assessing and improving judgment, with special emphasis on probabilistic reasoning. This course focuses on venture capital management issues in the context of a high-growth potential start-up company. This course will give students a solid grasp of different data collection strategies and when and how they can be applied in practice. Primarily for doctoral students in the managerial, behavioral, social and health sciences. Prerequisites: MATH 1080 OR MATH 1410 OR MATH 1510. This course encourages students to analyze the problems of managing the total enterprise in the domestic and international setting. In the first third of the course, we discuss theory building, hypothesis development, and research design choices particularly in casual research. Students will be introduced to a framework for developing and implementing a new business model. In unit 3, Limits and Alternatives to Patents, we confront the recent legal trend toward reigning in the power and scope of patents. All Wharton single-degree undergraduate students must complete a minimum of 37 course units and meet the curricular requirements described below. Why are capitalist economies often embedded in other social systems? A thorough treatment of multiple regression, model selection, analysis of variance, linear logistic regression; introduction to time series. Students will have the opportunity both to fine-tune their personal judgment skills as well as to master and then weave together insights from several bodies of scientific knowledge, including frequentist and Bayesian statistics, psychological work on judgment and choice, group dynamics, organizational behavior and political science (key concepts discussed in Tetlock's (2015) book "Superforecasting"). Over the years, researchers and practitioners have used these models for a wide variety of applications, such as new product sales, forecasting, analyses of media usage, and targeted marketing programs. We explore one of the most difficult transitions that forms part of many careers, moving into management from an individual contributor role. WebAccounting 101 and 102 are required courses for all Wharton undergraduate students. This course offers students a unique opportunity to develop consulting skills and entrepreneurial expertise by working as consultants to thriving entrepreneurial ventures in the Philadelphia area. However, executives, board members, and investment managers are actually growing less confident in the ESG data available to guide capital allocations and strategic decisions. This course assumes familiarity with the basic negotiation concepts covered in the prerequisite for this course: Negotiations. This course may be taken concurrently with the prerequisite with instructor permission. (This will be valuable to most ex-students in the early phases of their post-Wharton careers.) Hierarchical models, mixture models and Monte Carlo simulation techniques. 2 A minimum of one course unit must address 'Entrepreneurial Activity Within Organizations' and a minimum of one course unit must address 'Ecosystem Surrounding the Organization.' As a highly experiential course, MGMT 4020 is relatively unstructured, giving you ample opportunity to demonstrate leadership by providing direction and teamwork by pulling together to deliver results for your host. When people talk about their "boss," they almost always are referring to the person who supervises them. A course in probability (STAT 4300 or equivalent); a course in statistical inference (STAT 1020, STAT 1120, STAT 4310 or equivalent); and experience with the statistical software R (at the level of STAT 4050 or STAT 4700) are recommended. We teach a wide range of grades from middle school to high school, and work with students to help them learn how to be financially responsible. Each year 13,000professionals from around the world advance their careers through Wharton Executive Educations individual, company-customized, and online programs. We will cover important concepts in Bayesian probability modeling as well as estimation using both optimization and simulation-based strategies. Given the data science perspective of this course, this is focused on web enabled approaches. We will discuss various types of firms in the Chinese economy--from large state-owned enterprises (SOEs) to newly minted Internet giants, from prominent multinational companies (MNCs) to virtually anonymous local suppliers--and the unique institutions in which these firms operate. The final section will train Regional Spotlights on different geographic areas in turn, so that we may focus on the challenges and opportunities specific to various parts of the world. Students will summarize their collected data and subsequent inferences, culminating with an in-class presentation. Students will develop skills in structuring and solving complex business problems. Each class session will be devoted to discussion of a single research article, during which we will be joined via state-of-the-art videoconferencing by a Wharton alum from the tech sector whose expertise is relevant to the paper topic. Issues arising in these different management disciplines are considered in part for the purpose of showing off their interrelationships. The latter is facilitated via instructor-led classes on focused venture development concepts. More formally, managers formulate strategies and implement those strategies. Prerequisites: STAT 1020 OR STAT 1120 OR STAT 4300. Function estimation and data exploration using extensions of regression analysis: smoothers, semiparametric and nonparametric regression, and supervised machine learning. The focus is on the competitive strategy of the firm, examining issues central to its long- and short-term competitive position. Students act in the roles of key decision-makers or their advisors and solve problems related to the development or maintenance of the competitive advantage of the firm in a given market. A one-year course in calculus is recommended. The course will introduce data analysis from the Bayesian perspective to undergraduate students. The emphasis is on learning conceptual models and frameworks to help navigate the complexity and dynamism in such industries. This course is designed to help you begin to answer this question. The methodologies are implemented in a variety of software packages. The techniques will be studied critically, with examination of their usefulness and limitations. The course is motivated by rapid increases in both the supply of and demand for private equity over the past two decades. Most sessions will feature sophisticated numerical investigations using Microsoft Excel. Course Prefixes by School Harry W. Bass Jr. School of Arts, Humanities, and Technology. With a faculty of more than 235 renowned professors, Wharton has 5,000 undergraduate, MBA, executive MBA, and doctoral students. The course will use several examples from real world applications in different industries such as ecommerce, healthcare and finance to illustrate these techniques. Non-actuaries will be introduced to practical applications of finance mathematics, such as loan amortization and bond pricing, and premium calculation of typical life insurance contracts. Topics include diagnosing power in organizations, building coalitions, change management, understanding networks, coping with intolerable bosses and incivility, and downsizing. This definition therefore views social entrepreneurship as a distinct alternative to public sector initiatives. We all spend much of our lives in organizations. Flexible Core: 6.25 credit units in the first semester or anytime thereafter. Q. Academic Term. Does eating an egg every day cause people to live longer or shorter or have no effect? This unique Lab therefore brings together communities which rarely mix: startup founders, enrolled students as potential venture joiners and consultants, venture mentors, and technical/academic specialists. We will also examine some of the most critical relationships for shaping careers - those involving mentors and sponsors. Creating a profitable social entrepreneurship venture is by no means a simple challenge. In short, it prepares students to engage in Corporate Diplomacy (i.e., to influence external stakeholders opinions of the acceptability of a companys operations at a moment in time and to convince internal stakeholders to adapt their behaviors, systems and outputs` when necessary to support an organizational mission). 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. Team term consulting assignment, lectures, case analysis, and small group discussions. This short-term international business course gives undergraduate students an amazing global opportunity featuring business-site visits, lectures at partner schools, cultural excursions, and networking opportunities with undergraduate students and business contacts from the destination countries. Students should be familiar with regression models at the level of Stat 6130 or Stat 1020, and the Python language at the level of Stat 4770 or Stat 7770. Well examine controversies around gig work, i.e., the positives of worker schedule flexibility vs. the negatives of algorithmic control. Most of us are born in organizations, educated in organizations, and work in organizations. pitch novel new ideas about digital businesses. How do international institutions and interdependencies affect national capitalist institutions? The use of the JMP statistical package. This course will expose students to the theoretical and empirical "building blocks" that will allow them to construct, estimate, and interpret powerful models of consumer behavior. In this course, we extend the study and practice of negotiations and we develop a deeper understanding for how specific aspects of the negotiation process (e.g., emotions, deadlines, trust violations) impact outcomes. The goal of the Lab is to accelerate the development of ventures by providing a structured curricular setting in which mentors with industry expertise as operators and investors provide guidance to full-time venture founders. Supplemental activities include map quizzes, small group projects, and current events analysis. The course will be structured in three primary parts. A basic understanding of personal financial literacy is required. Prerequisite: two courses at the statistics 4000 or 5000 level or permission from instructor. Even if it is not possible to eventually create a profit-making enterprise, the process of striving to do so can lead to a resource-lean not-for-profit entity. By the end of this course, you'll have developed the skills you need to start motivating, organizing, and rewarding people in your organization so that you can thrive as a business and as a social organization. This course may be taken concurrently with the prerequisite with instructor permission. Students in this class will develop their own worldview about the powerful forces shaping today's international political economy and build a solid foundation for understanding the future of organizational strategy. WebThis course presents an overview of the business of health and how a variety of health care organizations have gained, sustained, and lost competitive advantage amidst intense From the immigrant shirtwaist sewers' strike of 1909 to the 2021 union declaration by engineers Google, MGMT004 examines imbalances of power in the workplace and responses to perceived abuses of employer power. Management is the art and science of helping individuals achieve their goals together. Students will also begin to hone skills essential to the pursuit of personal, academic, and professional goals: thinking creatively, analyzing problems, applying what you have learned, and reflecting on learnings. 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. Entrepreneurship & Much of the material is highly technical. This course applies the insights of the people analytics movement to help students become better managers and more critical analysts within their organizations. Now, award-winning authors and renowned management Professors Mike Useem and Peter Cappelli of the Wharton School have designed this course to introduce you to the key elements of managing people. WH2970 Wharton Industry Exploration Program, WIEP features short-term courses that focus on various industries and feature visits to businesses, lectures, extracurricular activities, and networking opportunities with alumni. Organizations emerge because individuals cannot (or do not want to) accomplish their goals alone. Founding members include the following: Columbia University Cornell University Dartmouth College Harvard University New York University Northwestern University Ohio State University Tulane University University of California, Berkeley University of Chicago University of Illinois University of Nebraska University of Pennsylvania University of Pittsburgh University of Texas University of WisconsinMadison Yale University. Prerequisites: LGST 2060 OR OIDD 2910 OR MGMT 2910. Basic R knowledge. Data analysis via statistical packages. Although some exposure to undergraduate probability and statistics is expected, skills in mathematics and computer science are more important. Organizations emerge because individuals can't (or don't want to) accomplish their goals alone. You will have opportunities to forecast on a wide range of political, business, and macro-economic questions, which we will use as feedback tools to help you calibrate your judgment. How do you take a good idea and turn it into a successful venture? The course will apply the tools of industrial organization economics and game theory to examine the strategic decisions that managers make. We partner with various public schools around the West Philadelphia area and teach concepts integral to financial literacy. We will review this evidence with an eye to understanding how effective relationships can be developed. Causal inference is the subfield of statistics that considers how we should make inferences about such questions. MGMT 4020 will enable you to draw on your Wharton undergraduate education and apply what you have learned in a way that promises to provide real impact for your host organization and a meaningful and memorable experience for you. WebFull semester courses. Applications in JMP emphasize concepts and key modeling decisions. In addition to learning about another country's business environment and culture, students earn 0.5 course units that can be used towards business-breadth or elective credits. Throughout the course, we compare the United States with other countries to assess how national institutions influence both productivity and profitability (for firms) and fairness and stability (for workers). WebStudents can either take a general program of four OIDD courses or can follow a designated track within the OIDD concentration which provides a more focused program in one of three major disciplines: decision processes, information systems, and operations management/management science. This course may be taken concurrently with the prerequisite with instructor permission. And with our focus on teaching excellence, Wharton creates transformative educational experiences for all our students. Sophisticated tools for probability modeling and data analysis from the Bayesian perspective. Open to Wharton undergraduate & MBA students, as well as Penn graduate students. This interactive, applied, and case-based course explores the various modes of corporate development available to managers to drive firm growth and change, including alliances, outsourcing, corporate venturing, and particularly mergers and acquisitions. The course will cover a variety of data mining methods including linear and logistic regression, penalized regression (including lasso and ridge regression), tree-based methods (including random forests and boosting), and deep learning.

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