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Course Catalog

The Course Catalog includes course descriptions of all courses offered by the Undergraduate School at Babson College. For descriptions of the courses offered in the current or upcoming semesters, please see the Course Listing.

 Undergraduate Course Catalog

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NST1010 Astronomy 4 credits The evolution and structure of the universe are explained using underlying basic physical principles along with the historical development of our present understanding. We will explore the instruments and data collection techniques used by astronomers and learn how they can be applied to solve problems in other disciplines. Prerequisites: None


NST1020 Energy and the Environment 4 credits As the world’s current energy demand continues to rise, it is critical to understand the causes, impacts, and possible solutions to our current global energy crisis. This course will focus on the technologies associated with renewable forms of energy and their potential for future success. Prerequisites: None


NST1030 Electronics 4 credit Foundation Liberal Arts Electronic devices transform the way people work and communicate. This course will focus on understanding the inner workings of those devices to provide a background on what they can and cannot do. We will also explore the impact of resource limitations on electronics, and how electronics can contribute to solving some resource issues. Prerequisites: None


NST1040 Human Biotechnology 4 credit foundation liberal arts This course will provide you with a broad review of the basic scientific concepts, ethical considerations, and practical applications of biotechnology in our daily lives. We will discuss the regulations, technologies, and methods used by academic research laboratories, agricultural and pharmaceutical industries, and forensic scientists. Through this course, you will gain a number of different perspectives on personalized medicine, stem cells, drug discovery, development, and regulation, food, and the environment, all of which are directly connected to human health and well-being. By the end of this course, you will recognize the importance of biotechnology in the world today and see multiple scales of its application from molecular to global levels. You will be able to compare and contrast the positive and negative contributions biotechnology has made to our lives and you will grasp its strengths and limitations as we move forward into the middle of the 21st century.





NST2020 – Case Studies in Ecological Management 4 credit Intermediate Liberal Arts Successful businesses must fully appreciate and understand sustainable management strategies for our vital natural resources. Here we will focus on understanding the ecological principles of natural resource management while exploring new strategies for environmental conservation. Prerequisites: NST10%


NST2030 Case Studies in Biomedical Science 4 credit intermediate liberal arts An in-depth study of the process for developing and commercializing biomedical technologies. The course explores understanding the role of translational research as a foundation for diagnostic and therapeutic products. The mechanisms underlying selected biomedical devices will also be described. Prerequisites: NST10%


NST2040 Case Studies in Sustainable Food Systems 4 credit intermediate liberal arts What is food – where does it come from, how is it grown, what resources does it use, what’s the difference between a GMO and an organic product, what do labels mean, is it sustainable? This course looks to take a scientific and systems based look at the food we eat and deeply examine all of the steps that occur between “farm to table”. We need food to survive and food must be grown, cultivated, harvested, processed, and distributed so that we can benefit from it. These steps take place in different ways all across the globe, across the country, and among our neighbors. In this class, we’ll look at what it means to be a sustainable food system, look at historical approaches that worked to meet/deviate from this goal, and look at how the future aims to feed a growing world with increasingly diminishing resources. By the end of this course, you will recognize the importance of sustainable food systems and know the different areas that comprise this system. You will be able to distinguish between sustainable and non-sustainable food systems. Through this design, this course meets the college learning goals of Rhetoric, Quantitative and Information Analysis, Ethics and SEERS, and Critical and Integrative Thinking. Prerequisite: NST10%%


QTM1000: Quantitative Methods for Business Analytics I 4 credits THIS COURSE IS FOR STUDENTS WHO STARTED AT BABSON IN FALL 2013 OR LATER. The course introduces the necessary core quantitative methods that are prerequisites to follow-on courses in QTM and in Babson's integrated core business offerings. Statistical software and the use of spreadsheets are integrated throughout so that students better comprehend the importance of using modern technological tools for effective model building and decision-making. About two thirds of the course is data-oriented, exposing students to basic statistical methods, their conceptual underpinning, such as variability and uncertainty, and their use in the real world. Topics include data collection, descriptive statistics, elementary probability rules and distributions, sampling distributions, and basic inference. The last third of the course is dedicated to selected non-statistical quantitative techniques applied to business models. Topics include curve fitting, differential calculus applications to non-linear optimization, and introduction to the time value of money. Prerequisites: None


QTM1010: Quantitative Methods for Business Analytics II 4 credits THIS COURSE IS FOR STUDENTS WHO STARTED AT BABSON IN FALL 2013 OR LATER. This course explores decision-making problems in a managerial context using algebraic, spreadsheet, graphical, and statistical models. The focus is on understanding basic mathematical and modeling principles through the analysis of real data. The course emphasizes communicating in-context interpretations of the results of analysis in written, visual, and oral form. A foundation in introductory statistics and use of spreadsheets is essential because these concepts are extended and reinforced throughout the course. Topics include introductions to linear regression, time series analysis, linear programming, decision analysis and simulation. It emphasizes the use of appropriate software and the latest technological methods for accessing and analyzing data. Prerequisite: QTM1000


QTM2000: Case Studies in Business Analytics 4 credits – Intermediate Liberal Arts This course builds on the modeling skills acquired in the QTM core with special emphasis on case studies in Business Analytics – the science of iterative exploration of data that can be used to gain insights and optimize business processes. Data visualization and predictive analytics techniques are used to investigate the relationships between items of interest to improve the understanding of complex managerial models with sometimes large data sets to aid decision-making. These techniques and methods are introduced with widely used commercial statistical packages for data mining and predictive analytics, in the context of real-world applications from diverse business areas such as marketing, finance, and operations. Students will gain exposure to a variety of software packages, including R, the most popular open-source package used by analytics practitioners around the world. Topics covered include advanced methods for data visualization, logistic regression, decision tree learning methods, clustering, and association rules. Case studies draw on examples ranging from database marketing to financial forecasting. This course satisfies one of the core requirements towards the new Business Analytics concentration. It may also be used as an advanced liberal arts elective or an elective in the Quantitative Methods or Statistical Modeling concentrations. Prerequisite: QTM1010 (or QTM2420)


QTM2600 DYNAMICAL SYSTEMS & CHAOS THEORY (Advanced Lib Arts) This course introduces dynamical systems, that is, it investigates how quantities (such as the size of a population, the supply and demand for a certain product, the amount of money in an account, and the amount of a certain drug in the bloodstream) change over time, by analyzing a mathematical relationship between the "present" and the "near future" to make predictions about the "distant future." You will use the mathematical models developed to study problems in finance, cost accounting, economics, population fluctuations, arms race, gambling, fractals, and chaos theory among others. In developing these models we introduce the foundations of Linear Algebra and Markov chains. Prerequisite: QTM1010


QTM2601 APPLICATIONS OF DISCRETE MATH (Advanced Lib Arts) Discrete mathematics is used whenever objects are counted, when relationships between finite sets are studied, and when processes involving a finite number of steps are analyzed. The kind of problems solved include: How many ways are there to choose a valid password on a computer system? What is the shortest path between two cities using a transportation system? How can a circuit be designed that adds two integers? How can you send secret messages? You will learn the discrete structures and techniques (found in mathematical logic, combinatorics, graph theory, Boolean algebra, and cryptology) needed to understand and solve these problems. You will develop mathematical maturity and problem solving skills by studying models in such diverse areas as computer science, data networking, business, engineering, chemistry, and biology. Prerequisite: QTM1000 This course is typically offered in the following semester: Spring


QTM3610 (formerly QTM2610) Applied Multivariate Statistics (Advanced Lib Arts) This course extends the modeling tools presented in prior statistics courses and focuses on the application and validation of models developed using real data in the context of finance, economics, and marketing research. Examples of applications include modeling the impact of advertising on sales, admission yields for business schools, patterns of voting behavior and a variety of survey data. This course focuses on implementing data analysis techniques using a statistical software package and interpreting the results in a decision-making environment. Emphasis is placed on understanding the limitations of modeling approaches, as well as the diversity of potential applications in business Prerequisite: QTM1010 This course is typically offered in the following semester: Spring


QTM3615 TIME SERIES AND FORECASTING (formerly QTM3671 and QTM3630) 4 credit hours (Advanced Lib Arts) This course will introduce time series models and discuss advanced forecasting methods in the context of real financial data and decision-making situations. The objectives of the course are to provide experience in using time series data (e.g., sales, profits, stock prices, economic indicators, industry sector indicators) to explain the impact of various internal and external factors and predict future trends; to provide a framework for comparing alternative forecasting models for validity, accuracy, and feasibility; to enhance an appreciation for the limitations of forecasting models; to provide exposure and experience in using statistical software to develop forecasting models; and to develop skills at communicating statistical results, and inferences effectively in a managerial context. Teamwork and professional presentation of analysis and recommendations will be required during this course. Prerequisite: QTM1010 or permission from instructor


QTM3620 Operations Research (Advanced Lib Arts) The focus of this course is upon the development, solution, analysis, and implementation of optimization models and their applications within business, government, education, and sports. The topical emphasis is primarily upon mathematical programming, optimization of flows across networks, and the interrelationships between these two classes of methodologies. The learning process is oriented toward problem solving. There typically is a problem statement leading into each topic followed by the construction of a mathematical model, solution of the model, and the resulting analysis. Many of these illustrative examples are supplemented with the discussion of a journal article relating how a larger-than-classroom scaled model has been successfully implemented in practice. Prerequisites: QTM1010


QTM3625 (Formerly QTM3673) Financial Modeling Using Simulation and Optimization with Applications to Finance, Marketing, and Management (Advanced Liberal Art) This course is an introduction to quantitative techniques that enable marketing, finance, and management professionals to make optimal decisions under uncertainty. While theoretical background for these techniques is provided, the focus is on their applications and mastering software that is widely used in industry, such as Excel, Solver, @RISK, and MATLAB. Topics include simulation of important probability distributions, bootstrapping, random walks, linear and nonlinear optimization. Lectures draw on examples such as asset allocation under different definitions of risk; index tracking; scenario approaches to project and portfolio management; hedging and arbitrage; and derivative pricing. Prerequisite: QTM1010
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