SCN3689 Crime Science
4 Advanced Liberal Arts Credits
This course examines the role that the modern natural sciences play in analyzing physical evidence collected at a crime scene. It begins by defining forensic science and understanding why the government has placed special qualifiers on scientific expert witnesses and their testimony. Students will survey the sciences used in a modern crime lab to understand the principles behind the analyses. Historical and current crimes and their trials as well as a mock crime scene will highlight lecture material. Disciplines that will be covered include Toxicology, Controlled Substances, Arson, DNA, Blood Splatter, Friction Ridge, Ballistics, and Crime Scene Processing.

Prerequisites: NST1

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: SCN3689
  • Number of Credits: 4

QTM3674 Cryptology/Coding/Theory
4 Advanced Liberal Arts Credits
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.

Prerequisites: QTM1000

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: QTM3674
  • Number of Credits: 4

SCN3602: Eclipses on Earth

4 Advanced Liberal Arts Credits

This course will involve an in-depth exploration of the Sun-Earth-Moon system and how that system results in eclipses. From understanding how the relationship between the Sun, Earth, and Moon generate eclipses, we will discuss the different types of eclipses, and explore the prediction of eclipses. We will consider the historical explanations and uses of eclipses in both the social and scientific realms. We will also examine the history of solar observations to understand safe solar viewing practices. This course is designed to fulfill the advanced experiential component of the curriculum as well. In teams you will work with local teachers and libraries to develop ways of teaching about eclipses to K-12 students and a general audience. You will also assist in developing safe solar viewing plans for your external "clients" on the eclipse day.

Prerequisites: NST 10XX

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: SCN3602
  • Number of Credits: 4

SCN3615 Ecology of Animal Behavior
4 Advanced Lib Arts Credits
The study of the nature, variety and function of the fundamental types of animal behaviors. Communication, habitat selection, predation and antipredator defense, reproductive strategies, tactics and mating systems, and play and social behaviors will be compared and analyzed, and applications to human behavior will be discussed.

Prerequisites: NST10%
% - Wildcard

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: SCN3615
  • Number of Credits: 4

SCN3630 Economics Botany
Advanced Liberal Arts
This course will investigate the relationship between plants and society. Without plants and plant products humans would be hungry, naked, and lacking oxygen to breath. We will begin by exploring the basics of different plant parts and how plants grow and reproduce. We will then examine plants as sources of food, materials, perfumes, drugs, and medicines. Throughout the course we will discuss the role plants have played in influencing economics, language, politics, and religion. Current topics of particular interest for this course include the debate over genetically engineered crops, the development of new pharmaceutical medicines, the changes in human diet, and the use of plant products in new technologies. This course will emphasize the development of skills in critical thinking, synthesis of information, science literacy, hand-on exercises, and current topical issues in plant biology.

Prerequisites: NST I

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: SCN3630
  • Number of Credits: 4

NST1030 Electronics
4 Foundation Liberal Arts Credits
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

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Foundation Liberal Arts (UGrad)
  • Course Number: NST1030
  • Number of Credits: 4

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

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Foundation Liberal Arts (UGrad)
  • Course Number: NST1020
  • Number of Credits: 4

QTM3625 Financial Modeling Using Simulation and Optimization with Applications to Finance, Marketing, and Management
4 Advanced Liberal Arts Credits
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.

Prerequisites: QTM1010 or AQM2000

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: QTM3625
  • Number of Credits: 4

AQM1000 Foundations of Business Analytics
4 Foundation Liberal Arts Credits


The course introduces the necessary quantitative methods that are prerequisites to follow-on courses in AQM and in Babson's integrated core business offerings. Statistical software and the use of spreadsheets are integrated throughout so that students better appreciate the importance of using modern technological tools for effective model building and decision-making. The initial third of the course focuses on basic frequentist statistical methods, their conceptual underpinning, such as variability and uncertainty, and their use in the real world. Topics include data visualization, data collection, descriptive statistics, elementary probability rules and distributions, sampling distributions, confidence intervals, and hypothesis testing. The remainder of the course is dedicated to decision-making problems in a managerial context using algebraic, spreadsheet, graphical, and statistical models. Topics include introductions to linear regression, time series analysis, and simulation. The course emphasizes the effective communication of quantitative results through written, visual, and oral means.

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Foundation Liberal Arts (UGrad)
  • Course Number: AQM1000
  • Number of Credits: 4

SCN3665 Global Climate Change
4 Advanced Liberal Arts Credits
Global climate change is one of the most contentious, yet critically important issues facing the world today. However, the science behind climate patterns and the influence of human actions on global climate are not always well understood. This course is designed to investigate scientific knowledge and uncertainty regarding past, present and future changes in the earth's climate, and how scientists study and predict patterns of climate change. We will investigate the known relationships between the earth's atmosphere and global climate, historic patterns of climate change, recent observations of changes in global climatic conditions, how scientists develop models and conduct experiments to predict future change, and the myriad of predicted ecological, economic and societal shifts that may occur. Finally, we will discuss options to mitigate climate change impacts, public perception and media portrayals of climate change, and ethical considerations related to climate change.

Prerequisites: Foundation Science

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: SCN3665
  • Number of Credits: 4