Cornell Tech Course Planner

This course is designed for an introductory level audience that does not have previous business experience and that is interested in career paths in analytics. It is an introduction to the reporting system used by businesses to convey financial information to parties outside the firm. Primary emphasis will be placed on understanding the financial reports that are the end product of this system--what they tell us and what they do not tell us about a business. The accounting principles, conventions and concepts underlying financial reporting will be examined with the objective of developing your ability to interpret financial statements.

Organizations operate in uncertain and dynamic environments, and are faced with unprecedented amounts of raw data. This course is designed to expose students to data analysis and modeling techniques for understanding business situations and improving business decisions. Specific topics that will be covered in the course include data cleaning and integration, probability and Bayes, sampling and confidence intervals, A/B testing, regression, and decision trees.

All functional areas of business-accounting, finance, marketing, and production-employ microeconomic techniques and principles. The goal of this course is threefold. First, it teaches the economic techniques and principles utilized in the functional areas. Second, it introduces the notion of a market, and teaches the role of market forces in determining the opportunities facing individuals and firms. Third, it teaches students how to think like an economist. The course is divided into three parts: Part I focuses on the basic ideas concerning how markets operate, including topics such as consumer behavior, costs of production, and the operation of what are called perfectly competitive markets. Part II considers market power, i.e., what happens when rather than being a price taker each firm faces its own downward sloping demand curve. Part III considers additional topics including the decision to produce or purchase an input and the role of contracts in business decision making.

This course is designed for an introductory level audience that does not have previous business experience and that is interested in career paths in analytics. It introduces you to the fundamental concepts of marketing that are relevant to marketers and analytics professionals.

This course applies cutting edge behavioral science findings to develop your teamwork and collaboration capabilities for working effectively in an organization. The course is designed to provide you with concepts and competencies to help you throughout your careers. The concepts will include both time-tested ideas and very recent findings, putting you at the cutting edge of thinking in management and organizational behavior. But learning the lessons intellectually is the easy part. You will also have the chance to practice and experiment with these ideas. Through class exercises, cases, and assignments, you will have the opportunity to turn the concepts into competencies.

This course is designed for an introductory level audience that does not have previous business experience and that is interested in career paths in analytics. It is meant to give you a strong base in finance that can be used in your professional career as well as give you the background necessary for Fintech and usage of analytics in Finance. The topics we cover include the time value of money, the methods and principles of capital budgeting, interest rates and bond valuation, stock valuation, how to characterize risk, and how to calculate the cost of capital.

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This 1.5 credit course is based on the MBA Core Course NCC 5080 Managing Operations. It has been adapted to an introductory level audience that does not have previous business experience and that is interested in career paths in analytics. In this course, we shall study the methods involved in the DESIGN, CREATION, and DELIVERY of products and services in all types of industries, manufacturing, supply chains, retailing, financial services, and technology.

In this course, students will be exposed to industry applications of business analytics through guest speakers on different topics in different industries. The course will be spread over all four semesters of the MSBA program. Students are expected to do the readings for each lecture, participate actively, and submit a learnings and reflections paper after the sessions.

Businesses are increasingly turning to machine learning and data analytics to inform their decisions and solve complex problems given the recent rise of big data. Machine learning is enabling businesses on issues ranging from business strategy, to their day to day operations, powered by the ever-increasing data types such as social media, web and search traffic, and online reviews. The purpose of this course is to provide students with an introduction to the machine learning methods and explore how to derive meaningful actionable insights from data. The types of methods students will practice in this course include regression (including logistic regression), classification, and clustering.