|
|
|
|
| Fall 2008 |
|
| QTM1300 |
APP CALCULUS WITH QUANT METHODS |
3.00 credits |
| |
QTM1300
Applied Calculus with Quantitative Methods
(Foundation Liberal Arts)
The Regular sections of QTM1300 are designed for those students who had no high school Calculus course. These students also must have a "passing" score on the Mathematics Skills Test. The course covers the necessary core quantitative methods subject matter that is prerequisite to follow-on courses in QTM and in Babson's integrated core business offerings. Technology and the use of spreadsheets are integrated throughout so that students better comprehend the importance of using modern technological tools for model building and decision making.
Prerequisites: NONE
|
| QTM1301 |
ADVANCED APPLIED CALCULUS-HONORS |
3.00 credits |
| |
QTM1301
ADVANCED APPLIED CALCULUS - HONORS
(Formerly Applications of Calculus and Finite Mathematics - Honors and Modeling Change - Honors)
The material in QTM1301 is designed for those students who have taken a high school calculus course. The course covers the core quantitative methods subject matter that is used in follow-on courses in QTM and is prerequisite to Babson's integrated core business offerings. In addition, students are introduced to applications and mathematical models using the calculus, linear programming and supporting software. Technology and the use of spreadsheets are integrated throughout so that students learn the effective use of computer software as a problem solving tool and decision-making aide. This course carries an honors designation for students in the honors program.
Prerequisite: High School Calculus
|
| QTM1310 |
PROB & STATS FOUNDATION |
3.00 credits |
| |
QTM1310
Probability and Statistics
(Foundation Lib Arts)
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
QTM1310 (or QTM1311) is a prerequisite for OEM, MCE, QTM2420 and ECN3620.
This course is typically offered in the following semesters: Fall, Spring, Summer I
|
| QTM1311 |
HONORS PROB & STATS FOUNDATION |
3.00 credits |
| |
QTM1311
Probability and Statistics
HONORS SECTION
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, along with additional selected topics. QTM1311 students will be expected to carry out a complete statistical analysis project. 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
QTM1311 (or QTM1310) is a prerequisite for OEM, MCE, QTM2420 and ECN3620.
This course is typically offered in the following semesters: Spring
|
| QTM2420 |
APPLIED QUANT MODELING |
3.00 credits |
| |
QTM2420
Applied Quantitative Modeling
(Intermediate Lib Arts)
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. Emphasize communicating in context interpretations of the results of analysis in written, visual, and oral form. A foundation in the principles of the mathematics of finance, introductory statistics, and use of spreadsheets is essential because these concepts are extended and reinforced throughout the course. Topics include applied simple and multiple linear regressions, basic time series analysis (including decomposition techniques), process control and total quality management, basic decision analysis, simulation, and applied financial modeling. Emphasizes the use of appropriate software and the latest technological methods for accessing data.
Prerequisite: QTM1310 or QTM1311
This course is typically offered in the following semesters: Fall, Spring and Summer I
|
| QTM2421 |
HONORS QUANT MODEL |
3.00 credits |
| |
QTM2421
Honors Applied Quantitative Modeling
(Intermediate Liberal Arts)
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. Emphasize communicating in -context interpretations of the results of analysis in written, visual, and oral form. A foundation in the principles of marginal analysis (differential calculus), introductory statistics, and use of spreadsheets is essential because these concepts are extended and reinforced throughout the course. Topics include multiple linear regression, time series analysis (including decomposition techniques), process control and total quality management, basic decision analysis, simulation, and applied financial modeling. Emphasizes the use of appropriate software and the latest technological methods for accessing data. Students will be expected to produce analyses and write-up cases involving real data.
Prequisite: QTM1310 or QTM1311
|
| QTM2600 |
LINEAR ALGEBRA AND DYNAMICAL SYS |
4.00 credits |
| |
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
|
| QTM3625 |
FINANCIAL MODELING |
4.00 credits |
| |
**10 seats in this course are reserved for Olin College students**
QTM3625 (Formerly QTM3673)
Financial Modeling
(Advanced Liberal Art)
QTM3625 (FINANCIAL MODELING WITH SIMULATION AND OPTIMIZATION)
Advanced Liberal Arts
Provides an introduction to quantitative techniques that enable finance
professionals to make optimal decisions under uncertainty. Such techniques
include simulation of random processes and advanced optimization, and have
roots in engineering and the sciences.
Selected applications covered in the course
Optimal asset allocation;
Risk management;
Hedging and arbitrage;
Financial derivative pricing;
Quantitative assessment of investments and company growth opportunities.
Examples of future career opportunities
Portfolio management and risk analysis at investment companies;
Sales, trading, strategy, research, and risk management at major Wall Street firms
and hedge funds;
Financial and management consulting;
Investment banking.
Additional information about the course
QTM3625 is a Babson College course, but will be offered on the campus of the
Olin College of Engineering in the Fall semester of 2008;
The class will meet on Mondays and Wednesdays, 5:00pm?6:35pm.
Students who take the course are expected to have had courses in basic
probability and statistics. QTM2420 is a prerequisite for Babson students. While
some background in basic financial topics is helpful, it is not required.
Please feel free to contact the instructor, Professor Dessislava Pachamanova
(dpachamanova@babson.edu), with any questions.
Prerequisites: Students who take the course are expected to have had courses in basic
probability and statistics. QTM2420 is a prerequisite for Babson students. While
some background in basic financial topics is helpful, it is not required.
Please feel free to contact the instructor, Professor Dessislava Pachamanova
(dpachamanova@babson.edu), with any questions.
|
| QTM3675 |
PROBABILITY FOR RISK MANAGEMENT |
4.00 credits |
| |
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
|
| SCN1310 |
SCIENCE OF LIFE |
3.00 credits |
| |
SCN1310
SCIENCE OF LIFE
(Foundation Liberal Arts)
This course explores many of the diverse topics in life science, primarily focusing on the human body. We will look at the most recent knowledge of many concepts in human biology and see how they apply to major research trends. With the knowledge you gain from this class, you should be able to navigate through the myriad of medical, environmental and social issues that confront us as our world becomes an ever more complex place in which to live.
Prerequisite: NONE
|
| SCN1320 |
SEARCH FOR LIFE IN THE UNIVERSE |
3.00 credits |
| |
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
|
| SCN1330 |
OCEANOGRAPHY |
3.00 credits |
| |
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
|
| SCN2410 |
ENVIRONMENTAL TECHNOLOGY |
3.00 credits |
| |
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
|
| SCN2420 |
BIOTECHNOLOGY |
3.00 credits |
| |
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
|
| SCN2430 |
ELECTRONIC TECHNOLOGY |
3.00 credits |
| |
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
|
| SCN3615 |
ECOLOGY OF ANIMAL BEHAVIOR |
4.00 credits |
| |
SCN3615 ECOLOGY OF ANIMAL BEHAVIOR
(Advanced Lib Arts)
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.
Prerequisite: SCN13%
% - Wildcard
|
| SCN3625 |
ETHICAL ISSUES IN RESEARCH & TECHNOLOGY |
4.00 credits |
| |
SCN3625
ETHICAL ISSUES IN RESEARCH AND TECHNOLOGY
(Advanced Lib Arts)
The study of ethical problems faced by researchers in dealing with each other, with the
organizations for which they may be developing products, and with society at large. Specific topics will include plagiarism, medical/genetic research, useless or dangerous industrial products, and weapons of mass destruction.
Prerequisite: SCN13%
%=wildcard
|
|
| Summer II 2008 |
|
| QTM2420 |
APPLIED QUANT MODELING |
3.00 credits |
| |
QTM2420
Applied Quantitative Modeling
(Intermediate Lib Arts)
Meeting Dates July 18, 21, 22, 24, 28, 29, 31 August 4, 5, 7, 11 and 12 Final Exam August 14
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. Emphasize communicating in context interpretations of the results of analysis in written, visual, and oral form. A foundation in the principles of the mathematics of finance, introductory statistics, and use of spreadsheets is essential because these concepts are extended and reinforced throughout the course. Topics include applied simple and multiple linear regressions, basic time series analysis (including decomposition techniques), process control and total quality management, basic decision analysis, simulation, and applied financial modeling. Emphasizes the use of appropriate software and the latest technological methods for accessing data.
Prerequisite: QTM1310 or QTM1311
This course is typically offered in the following semesters: Fall, Spring and Summer I
|
|
| Summer I 2008 |
|
| QTM1310 |
PROB & STATS FOUNDATION |
3.00 credits |
| |
QTM1310
Probability and Statistics
(Foundation Lib Arts)
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
QTM1310 (or QTM1311) is a prerequisite for OEM, MCE, QTM2420 and ECN3620.
This course is typically offered in the following semesters: Fall, Spring, Summer I
|
| QTM2420 |
APPLIED QUANT MODELING |
3.00 credits |
| |
QTM2420
Applied Quantitative Modeling
(Intermediate Lib Arts)
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. Emphasize communicating in context interpretations of the results of analysis in written, visual, and oral form. A foundation in the principles of the mathematics of finance, introductory statistics, and use of spreadsheets is essential because these concepts are extended and reinforced throughout the course. Topics include applied simple and multiple linear regressions, basic time series analysis (including decomposition techniques), process control and total quality management, basic decision analysis, simulation, and applied financial modeling. Emphasizes the use of appropriate software and the latest technological methods for accessing data.
Prerequisite: QTM1310 or QTM1311
This course is typically offered in the following semesters: Fall, Spring and Summer I
|
| SCN1310 |
SCIENCE OF LIFE |
3.00 credits |
| |
SCN1310
SCIENCE OF LIFE
(Foundation Liberal Arts)
This course explores many of the diverse topics in life science, primarily focusing on the human body. We will look at the most recent knowledge of many concepts in human biology and see how they apply to major research trends. With the knowledge you gain from this class, you should be able to navigate through the myriad of medical, environmental and social issues that confront us as our world becomes an ever more complex place in which to live.
Prerequisite: NONE
|
| SCN2410 |
ENVIRONMENTAL TECHNOLOGY |
3.00 credits |
| |
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
|
|
| Spring 2008 |
|
| QTM1300 |
CALCULUS & DISCRETE MATH |
3.00 credits |
| |
QTM1300
Quantitative Methods with Calculus
(Foundation Liberal Arts)
The Regular sections of QTM1300 are designed for those students who had no high school Calculus course. These students also must have a "passing" score on the Mathematics Skills Test. The course covers the necessary core quantitative methods subject matter that is prerequisite to follow-on courses in QTM and in Babson's integrated core business offerings. Technology and the use of spreadsheets is integrated throughout so that students better comprehend the importance of using modern technological tools for model building and decision making.
Prerequisites: NONE
|
| QTM1310 |
PROB & STATS FOUNDATION |
3.00 credits |
| |
QTM1310
Probability and Statistics
(Foundation Lib Arts)
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
QTM1310 (or QTM1311) is a prerequisite for OEM, MCE, QTM2420 and ECN3620.
This course is typically offered in the following semesters: Fall, Spring, Summer I
|
| QTM1311 |
HONORS PROB & STATS FOUNDATION |
3.00 credits |
| |
QTM1311
Probability and Statistics
HONORS SECTION
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, along with additional selected topics. QTM1311 students will be expected to carry out a complete statistical analysis project. 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
QTM1311 (or QTM1310) is a prerequisite for OEM, MCE, QTM2420 and ECN3620.
This course is typically offered in the following semesters: Spring
|
| QTM2420 |
APPLIED QUANT MODELING |
3.00 credits |
| |
QTM2420
Applied Quantitative Modeling
(Intermediate Lib Arts)
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. Emphasize communicating in context interpretations of the results of analysis in written, visual, and oral form. A foundation in the principles of the mathematics of finance, introductory statistics, and use of spreadsheets is essential because these concepts are extended and reinforced throughout the course. Topics include applied simple and multiple linear regressions, basic time series analysis (including decomposition techniques), process control and total quality management, basic decision analysis, simulation, and applied financial modeling. Emphasizes the use of appropriate software and the latest technological methods for accessing data.
Prerequisite: QTM1310 or QTM1311
This course is typically offered in the following semesters: Fall, Spring and Summer I
|
| QTM2601 |
APPLICATIONS OF DISCRETE MATH |
4.00 credits |
| |
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: QTM1300 or QTM1301
This course is typically offered in the following semester: Spring
|
| QTM3612 |
DATA MINING & COMPETING ANALYTICS |
4.00 credits |
| |
QTM3612
Data Mining & Competing Analytics
Formerly Applied Data Mining
(Advanced Lib Arts)
This course will examine the methods and challenges faced in competing on analytics in business. As databases become data warehouses, extracting meaningful information to successfully compete is essential. You will accomplish this by learning new techniques for data gathering and data analysis as well as in discussion with companies currently trying to turn the information in their databases into increased business opportunities. We will examine the changing data privacy landscape and learn a variety of new methodologies for finding patterns in large datasets as well as how to create data warehouses from internet data and legacy systems. Guest speakers will be executives and consultants in the field of competing analytics. We will discuss both the methodologies and software they are using as well as the ethical issues they face in using this data.
Prerequisite: QTM2420 or QTM2421
|
| QTM3615 |
TIME SERIES AND FORECASTING |
4.00 credits |
| |
QTM3615 TIME SEREIS AND FORECASTING (formerly QTM3671)
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
|
| SCN1310 |
SCIENCE OF LIFE |
3.00 credits |
| |
SCN1310
SCIENCE OF LIFE
(Foundation Liberal Arts)
This course explores many of the diverse topics in life science, primarily focusing on the human body. We will look at the most recent knowledge of many concepts in human biology and see how they apply to major research trends. With the knowledge you gain from this class, you should be able to navigate through the myriad of medical, environmental and social issues that confront us as our world becomes an ever more complex place in which to live.
Prerequisite: NONE
|
| SCN1320 |
SEARCH FOR LIFE IN THE UNIVERSE |
3.00 credits |
| |
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
|
| SCN1330 |
OCEANOGRAPHY |
3.00 credits |
| |
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
|
| SCN2410 |
ENVIRONMENTAL TECHNOLOGY |
3.00 credits |
| |
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
|
| SCN2420 |
BIOTECHNOLOGY |
3.00 credits |
| |
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
|
| SCN2430 |
ELECTRONIC TECHNOLOGY |
3.00 credits |
| |
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
|
| SCN3610 |
METEOROLOGY |
4.00 credits |
| |
SCN3610
METEOROLOGY
ADVANCED LIBERAL ARTS
The Meteorology course at Babson College is designed to help students become knowledgeable about the science behind the physical atmospheric phenomena which dramatically affect their own daily lives and the lives of peoples all over the planet. In addition to causing minor joys and annoyances from day to day, atmospheric phenomena such as ozone depletion, air pollution and the potential for global warming present us with challenges to our basic existence. It is hoped that students will emerge from this course
with a better understanding of atmospheric phenomena and how, as future managers, their actions can affect our environment. In addition, students will learn how to apply the scientific principles they have learned to create competent and accurate weather forecasts.
Prerequisite: SCN 13%
% - Wildcard
|
| SCN3620 |
NATURAL DISASTERS |
4.00 credits |
| |
SCN3620
Natural Disasters
(Advanced Lib Arts)
Natural disasters can affect us wherever we go. Disasters might be localized or far-reaching, and may come from severe weather, seismic events, biological catastrophe, or outer space. In this course we will examine the causes of different types of natural disasters, the regional and global effects of disasters, and the recovery process after a disaster occurs. We will also assess risks of disaster and explore how preparation can mitigate the effects of some disasters.
Prerequisite: SCN13%
% - Wildcard
|
|
| Winter 2008 |
|
| SCN3690 |
CRIME SCIENCE |
2.00 credits |
| |
SCN3690
Crime Science
(Advanced Lib Arts)
Criminal Investigators have long utilized Forensic Scientists to fight crime. Now they have the
advantage of modern technology to continue their age-old battle. But, what can and cannot be
entered into a court of law under the label of science? This course begins by examining the
unique qualifiers that our legal system requires of forensic science. Next, we will survey the
forensic field, from its limited beginnings to its modern capabilities. From the many disciplines of
Forensic Science, this course will concentrate on Toxicology, Criminalistics, and DNA.
Throughout, we will examine how science helped solve historical criminal cases as well as those
ripped from today's headlines. Some lab work will supplement the lectures.
Prerequisite: SCN13%
% - Wildcard
|
| SCN3692 |
DIET AND DISEASE: TILL HEALTH DO US PART |
2.00 credits |
| |
SCN3692
Diet and Disease - Til Health do us Part
(Advanced Liberal Arts)
Every day we are bombarded with information about diet and health, often confusing and contradictory. As consumers, it is difficult to separate fact from fad, truth from fiction. This course will provide a foundation in basic nutrition, including anatomy and physiology of the digestive tract and the development of disease. We will also explore the impact of nutrition on social policy. Ultimately, our goal is to apply this information to aid in making informed choices in the treatment and prevention of nutrition related disease.
Prerequisite: SCN13%
% - Wildcard
|
| SCN3697 |
GLOBAL WARMING: BUSINESS & SOCIETY |
2.00 credits |
| |
SCN3697 Global Warming, Business & Society
Credits = 2 Advanced Liberal Arts
Meeting Times: M-F 11:30am - 1:30pm (Jan 3 - Jan 16)
Final Friday January 18 11:30am- 1:30pm
Global climate change has become a hot topic in the news and one of today's most pressing concerns for businesses. In this course we will discuss the scientific evidence for human-induced changes to the earth's climate and the role of global warming in politics, the business world, and popular media. We will examine the current and potential future impacts of climate change on human health, the food supply, natural ecosystems around us, and the global economy. In addition we will explore renewable energy options, green technology, carbon emission trading, carbon storage projects, and ethical concerns for the environment and the global population.
Pre-req: Science A
Science & Society concentration
|
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