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Math and Science Division Course Listings

Undergraduate

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NST1010 - ASTRONOMY

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

4.00 credits

NST1020 - SUSTAINABLE ENERGY SOLUTIONS

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

4.00 credits

NST1030 - ELECTRONICS

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

4.00 credits

NST2010 - CASE STUDIES IN FORENSIC SCIENCE

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**

4.00 credits

NST2020 - CASE STUDIES IN ECOLOGICAL MGMT

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%

4.00 credits

QTM1000 - QM FOR BUSINESS ANALYTICS I

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

4.00 credits

QTM1010 - QM FOR BUSINESS ANALYTICS II

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

4.00 credits

QTM1310 - PROB & STATS FOUNDATION

PROB & STATS FOUNDATION

QTM1310 Probability and Statistics (Foundation Lib Arts) THIS COURSE IS FOR STUDENTS WHO STARTED AT BABSON BEFORE SEPT. 2013. QTM1310 is designed for students who have not had a previous statistics course. This data-oriented course exposes 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 (tabular and graphical displays and numerical summary measures), elementary probability rules and distributions, sampling distributions, elementary inference (confidence interval estimation and hypothesis testing), simple linear regression, and the chi-square test for independence. Students are required to use technology for developing conceptual understanding through simulations, analyzing real data by producing tables, graphs, and numerical results of statistical procedures for interpretation, and producing displays for presentations. Prerequisite: QTM1300 or QTM1301 or QTM2300 QTM1310 (or QTM1311) is a prerequisite for OEM, MCE, QTM2420 and ECN3620. This course is typically offered in the following semesters: Fall, Spring, Summer first session

3.00 credits

QTM2000 - CASE STUDIES IN BUSINESS ANALYTICS

CASE STUDIES IN BUSINESS ANALYTICS

QTM 2000 – Case Studies in Business Analytics 4 Credits – Intermediate Liberal Arts Note: For students who started at Babson before Fall 2013, this course can count as an elective, QTM 3650. For students who started at Babson Fall 2013 or later, this course can count as a third Quantitative Methods course. The course is required for the Business Analytics concentration. 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. Prerequisite: QTM 1010 or QTM 2420

4.00 credits

QTM2420 - APPLIED QUANT MODELING

APPLIED QUANT MODELING

QTM2420 Applied Quantitative Modeling (Intermediate Lib Arts) THIS COURSE IS FOR STUDENTS WHO STARTED AT BABSON BEFORE SEPT. 2013 This course explores ill-defined problems 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, linear optimization, and use of spreadsheets is essential because these concepts are extended and reinforced throughout the course. Topics include applied multiple linear regression, basic time series analysis (including decomposition techniques), linear programming, basic decision analysis, and simulation. The course emphasizes the use of appropriate software and the latest technological methods for accessing data. This course is typically offered in fall and spring semester and summer session. Prerequisite: QTM1310 or QTM1311

3.00 credits

QTM2600 - LINEAR ALGEBRA & DYNAMICAL SYS

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

4.00 credits

QTM3620 - OPERATIONS RESEARCH

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

4.00 credits

QTM3625 - FINANCIAL SIMULATION

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

4.00 credits

QTM3674 - CRYPTOLOGY/CODING/THEORY

CRYPTOLOGY/CODING/THEORY

QTM3674 Cryptology/Coding/Theory 4 credits (Advanced Liberal Arts) Cryptology includes the study of both cryptography, the science of developing "secret codes" or ciphers for secure and confidential communication, and cryptanalysis, the breaking of ciphers. Coding theory consists of mathematical techniques for detecting and correcting errors that occur during data transmission. These topics are critical to secure and reliable information exchange, with applications ranging from e-commerce to the transmission of photographs from deep-space to military operations. Through this exploration into the technical, social, and historical aspects of cryptology and coding theory, students will learn and extensively use basic concepts from number theory, finite field and ring theory, matrix algebra, and the software package GAP. Highlighted topics include the RSA cryptosystem, digital signatures, DES, linear and cyclic codes, and the coding theory based McEliece cryptosystem. This course is suitable for students with one year of university-level mathematics, or the equivalent; it should also be interesting for upperclassman from a variety of majors. Prerequisite: QTM1300 OR QTM1301

4.00 credits

QTM3675 - PROBABILITY FOR RISK MANAGEMENT

PROBABILITY FOR RISK MANAGEMENT

QTM3675 Probability for Risk Management The fundamental objective of this course is to prepare students for the successful completion of the first level probability examination (Exam P) of the Society of Actuaries. While the necessary theory is addressed, this course focuses on problem solving, so it is well suited for any student with an interest in applied probability concepts and how they are related to a wide variety of situations within and beyond actuarial science, finance, and economics. Topics include general probability and univariate and multivariate probability distributions. Prerequisites: QTM2420

4.00 credits

SCN1320 - SEARCH FOR LIFE IN THE UNIVERSE

SEARCH FOR LIFE IN THE UNIVERSE

SCN1320 Search for Life in the Universe (foundation liberal arts) Study of the information necessary to make estimates of the probability of extraterrestrial life, what characteristics it might have and how we might expect to communicate with it if it exists. Subjects considered are the structure/origin/evolution of the universe, galaxies, stars, our solar system and the Earth; and biological and chemical signatures of life. Prerequisite: NONE

3.00 credits

SCN1330 - OCEANOGRAPHY

OCEANOGRAPHY

SCN1330 Oceanography (Foundation Liberal Arts) Study of physical processes and biological communities in the ocean. Subjects considered include the origin and evolution of the ocean, the nature of seawater, ocean currents, tides, deep sea, coastal and reef communities, and human use of marine resources and impacts of man on the sea. Prerequisite: NONE

3.00 credits

SCN2410 - ENVIRONMENTAL TECHNOLOGY

ENVIRONMENTAL TECHNOLOGY

SCN2410 Environmental Technology (Intermediate Liberal Arts) Study of the interrelationships between environmental science, technology and the environment. Technological causes and solutions to environmental problems , including climate change, air and water pollution, pest control, toxic substances and endangered species. Prerequisite: Foundation Science

3.00 credits

SCN2420 - BIOTECHNOLOGY

BIOTECHNOLOGY

SCN2420 (formerly SCN2472) BIOTECHNOLOGY (Intermediate Liberal Arts) Biotechnology is a rapidly growing field, encompassing numerous subtopics including stem cell research, cloning, forensics, genetic engineering, and drug discovery. Advances in biotechnology also affect the foods we eat, the medical treatments we receive, and the social environments in which we live. In this course, we will explore the science and ethics of various topics related to the biotechnology and pharmaceutical industries. We will also examine the misconceptions and scientific distortions regarding life science and technology which are prevalent in popular culture. By the conclusion of this course, you will be familiar with the potential of the life sciences industries and how current and future biotech advances affect us as individuals and as humans, as well as other diverse species on Earth. Prerequisite: SCN 13% % - Wildcard

3.00 credits

SCN2430 - ELECTRONIC TECHNOLOGY

ELECTRONIC TECHNOLOGY

SCN2430 (formerly SCN2473) Electronic Technology (Intermediate liberal arts) Study of the application of basic scientific principles and computational skills that allow the understanding of current and potential future thrusts in electronics, computing, microsystems and nanotechnologies. Prerequisite: SCN 13% % - Wildcard

3.00 credits

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