ENV3600 - ARCTIC ECONOMICS:CLIMATE AND POLICY
ARCTIC ECONOMICS:CLIMATE AND POLICY
ENV3600: Arctic Economics: Climate and Policy
4 credit elective abroad
This course focuses on the intersection between Arctic climate, Policy, and economics. The first part of the course will be taught as a team-taught course with faculty and students from Babson College, Brown University, and Nord University in Bodo, Norway. The first part of this course will last two and a half weeks and will be taught above the Arctic Circle in Bodo, Norway at Nord University and will require travel to above the Arctic Circle in Norway in January. While in Bodo, classes will be all day and will include travel to both an economic operation (possibly Bodo Oil Terminal) and an ocean ship travel to Svolvaer on the Lofoten Peninsula where we will stay overnight on the boat (above the Arctic Circle in the middle of January). The course will have extensive readings, and will cover issues related to Arctic climate, Arctic policy, and the effects of these on the economics of the Arctic, particularly as it relates to shipping.
This integrated, multi-disciplinary course will be taught by natural sciences, social scientists, and economists and will cover a diverse and Arctic climate and environment; the peoples of the Arctic; the economics of marine services and transport; Arctic shipping trends, risks and management; Arctic ecosystems; Arctic natural resources and geopolitics and self-determination; environmental management, including metrics and assessment; Arctic rescue and preparedness management; and the International Panel on Climate Change (IPCC) 6th Assessment Report. Students will be expect to put this all together working in teams of three (one from Babson, one from Brown, one from Nord) in a group project that is due while in Bodo
NST1010 - ASTRONOMY
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.
NST1020 - ENERGY AND THE ENVIRONMENT
ENERGY AND THE ENVIRONMENT
NST1020 Energy and the Environment
As the worlds 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.
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.
NST1040 - HUMAN BIOTECHNOLOGY
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.
NST1060 - OCEANOGRAPHY
Over 70% of the globe is covered by ocean. Marine systems are a nexus of life crucial sources of protein for human populations, reservoirs of minerals, and regulators of the global climate. However, human populations have increased demand for ocean resources in greater numbers than is ecologically sustainable. In addition, the ocean serves as a dumping ground for many types of waste, resulting in waters degraded by pollution. The objective of this course is to give you a basic understanding of the physical, biological, and chemical processes driving ocean fundamentals. In addition, we will examine how human demand on marine resources impacts ocean communities.
This course will stress the importance of the scientific method both in principle and in practice. Extensive discussion of human environmental impacts on the ocean (e.g., climate change, marine pollution, overfishing) will enhance perspectives of self-awareness and ethical decision-making related to social, economic and environmental responsibility and sustainability (SEERS). Critical analysis is emphasized in class discussions, exam questions, lab reports, written assignments, and the group project. Assignments facilitate development of logical communication skills, appropriate use of graphs and tables, and organizing, synthesizing, evaluating and interpreting scientific information. Through lab and group activities, this course fosters team work and ability to work with others. International and multicultural perspectives are integral to the course, since the oceans influence on human populations is global, both directly on the coasts, and indirectly away from the coasts (via weather, climate, and seafood production).
NST2020 - CASE STUDIES IN ECOSYSTEM MGMT
CASE STUDIES IN ECOSYSTEM MGMT
NST2020 Case Studies in Ecosystems 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.
NST2030 - CASE STUDIES IN BIOMEDICAL SCIENCE
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.
NST2040 - CASE STUDIES IN SUSTAINABLE FOOD SYSTEMS
CASE STUDIES IN SUSTAINABLE FOOD SYSTEMS
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, whats 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, well 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.
NST2060 - CASE STUDIES IN DRUG DEVELOPMENT SYSTEMS
CASE STUDIES IN DRUG DEVELOPMENT SYSTEMS
NST2060: Case Studies in Drug Development Systems
4 intermediate liberal arts credits
Drug development is a dynamic, multidisciplinary industry that encompasses the discovery, scientific, clinical and economic assessment of a new compounds safety, efficacy, potential side effects and requires the collaboration and innovation of scientists, chemists, clinicians, statisticians, lawmakers, business leaders and entrepreneurs. Over the last 30 years, the idealized goal of drug discovery has been to identify a specific chemical substance that is highly specific for a single molecular target and arrests or stems the advancement of disease. Although the goal is highly specific and the process seems linear, there are many contributing, and often unforeseen factors that inform drug design, the drug development pipeline and the eventual success or failure of a given drug candidate. In this course, we will take a systems approach to identify and describe all of the contributing elements of identifying, characterizing and bringing a drug to market, to define the physiological, biological, economic and regulatory systems that characterize the process and to outline the social, economic and environmental considerations of a sustainable and productive model for drug development.
Prerequisites: NST10XX (NST 1)
NST2070 - ASTROBIOLOGY EMERGENCE OF COMPLEX SYSTEM
ASTROBIOLOGY EMERGENCE OF COMPLEX SYSTEM
NST2070: ASTROBIOLOGY AND THE EMERGENCE OF COMPLEX SYSTEMS
4 intermediate liberal arts credit
The prospects for simple and intelligent life beyond earth are discussed in terms of planetary science, molecular biology, complexity theory, evolution and thermodynamics. Discussions will focus on the processes leading to the emergence of complex systems as well as the biological and physical interdependencies of life and the environment.
NST2080 - SOCIO ECOLOGICAL URBAN SYSTEMS
SOCIO ECOLOGICAL URBAN SYSTEMS
HSS2080: Socio-Ecological Urban Systems
Socio-Ecological Urban Systems will be co-taught by Profs. Vikki Rodgers and Stephen Deets as a single course. Socio-ecological systems (SES) are linked systems of people with nature, emphasizing that humans must be seen as a part of, not apart from nature. This course will begin by discovering the nature within cities. Many of the vital ecosystem services for which human life depends are derived from under-appreciated urban habitats. We will also investigate the history, human demography trends and socio-economic patterns within cities in various parts of the world, including the land, water, and energy resources cities consume as well as air, water, and solid waste pollution produced and distributed widely. We will discuss the limitations and problems within much of the current built environment, but also explore new sustainable and inclusive urban planning strategies that include innovative architectural design and green technologies. Studying SES allows for the development of important skills for future leaders, such as approaches for incorporating uncertainty, nonlinearity, and self-reorganization from instability. Transdisciplinary approaches will be employed to address complex temporal, spatial, and organizational scales to investigate real world challenges.
Prerequisites: RHT1000 AND RHT1001 AND AHS1000 AND NST1000
QTM1000 - QM FOR BUSINESS ANALYTICS I
QM FOR BUSINESS ANALYTICS I
QTM1000: Quantitative Methods for Business Analytics I
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.
QTM1010 - QM FOR BUSINESS ANALYTICS II
QM FOR BUSINESS ANALYTICS II
QTM1010: Quantitative Methods for Business Analytics II
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.
QTM2000 - CASE STUDIES IN BUSINESS ANALYTICS
CASE STUDIES IN BUSINESS ANALYTICS
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)