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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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Math/Science

ASTRONOMY

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

SUSTAINABLE ENERGY SOLUTIONS

NST1020 Sustainable Energy Solutions 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

ELECTRONICS

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

CROSS REGISTRATION TO OLIN COLLGE

CROSS REGISTRATION TO OLIN COLLEGE

CROSS REGISTRATION TO OLIN COLLEGE

CASE STUDIES IN FORENSIC SCIENCE

NST2010 Cast Studies in Forensic Science 4 credit Intermediate Liberal Arts Criminal investigators have long utilized forensic science to fight crime. This course examines the forensic field, from its limited beginnings to its modern capabilities. We will concentrate on toxicology, criminalistics, DNA, and unique legal system qualifiers. Throughout, we will examine how science is used to solve historical and current criminal cases. Prerequisites: SCNA or NST10**

CASE STUDIES IN ECOLOGICAL MGMT

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: SCNA or NST10%

CASE STUDIES IN BIOMEDICAL SCIENCE

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: SCNA or NST10%

QM FOR BUSINESS ANALYTICS I

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

QM FOR BUSINESS ANALYTICS II

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

CROSS REGISTRATION TO OLIN

CASE STUDIES IN BUSINESS ANALYTICS

QTM2000: Case Studies in Business Analytics 4 credits – Intermediate Liberal Arts THIS COURSE IS FOR STUDENTS WHO STARTED AT BABSON IN FALL 2013 OR LATER. This course expands on the modeling skills acquired in QTM I and QTM II 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 statistical techniques, as well as selected optimization methods 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 Spotfire, a data visualization software, and R, a widely used open-source statistical package, in the context of real-world applications from diverse business areas such as marketing, finance, and operations. Topics covered include advanced methods for data visualization, logistic regression, clustering, modeling with neural nets, and advanced time series analysis. Case studies draw on examples from quality control, database marketing, Prerequisites: QTM1010

LINEAR ALGEBRA & DYNAMICAL SYS

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: QTM1300 or QTM1301 or QTM2300 or QTM1010

APPLICATIONS OF DISCRETE MATH

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 may include: How many ways are there to choose a valid password on a computer network? What is the shortest path between two cities using a transportation system? How can a circuit be designed that adds integers? You will learn about the discrete structures and techniques found in Mathematical Logic, Combinatorics, Graph Theory, and Boolean Algebra that are needed to understand and solve these and other problems. You will develop mathematical maturity and problem solving skills by studying models in such diverse areas as Computer Science, Communications Networks, Business, Engineering, Chemistry, and Biology. Prerequisite: QTM1000 or equivalent (such as QTM1300, QTM1301, or QTM2300 from the old curriculum). This course is typically offered every 3rd semester.

SPORTS APPLICATION OF MATHEMATICS

QTM2622 Sports Applications of Mathematics 4 credit advanced liberal arts Mathematicians and statisticians are playing an increasing role in shaping how athletic contests are played and how they are judged. This course examines some of the underlying quantitative principles that are routinely used. Students will apply some statistical techniques (expectations, probability and risk/reward judgments) and some that are deterministic (optimization, ranking and validation.) A variety of software packages will be used to demonstrate the many ways that a mathematical point of view can inform athletes, trainers, administrators and fans. Prerequisites: QTM1010 or QTM2420

APPLIED MULTIVARIATE STATISTICS

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: QTM2420 or QTM2421 or QTM1010 This course is typically offered in the following semester: Spring

TIME SERIES AND FORECASTING

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: QTM2420 or QTM2421 or permission from instructor

OPERATIONS RESEARCH

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: QTM2420 or QTM2421 or QTM1010

FINANCIAL SIMULATION

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: QTM2420/QTM2421 or QTM1010
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