|
|
|
|
| Spring 2010 |
|
| 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
|
| 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 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 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 QTM1301or QTM2300
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. 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
This course is typically offered in the following semesters: Fall, Spring and Summer Session
|
| 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. 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.
Prequisite: QTM1310 or QTM1311
|
| QTM3625 |
FINANCIAL SIMULATION |
4.00 credits |
| |
The previous title of this course was Financial Modeling
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, and @RISK. 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 or QTM2421
|
| 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
|
| 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
|
| SCN1340 |
BIODIVERSITY AND THE ENVIRONMENT |
3.00 credits |
| |
SCN1340 Biodiversity and the Environment
3.0 Credits Foundation Liberal Arts
This course will introduce students to the fundamentals of how nature operates. We will discuss the basic principles of biology, chemistry and physics as they relate to the natural world, focusing on the physical environment, the organisms in it, and how they interact. Interestingly, nature uses many of the same basic principles found in economics, so we will explore the role of economic theory in explaining how organisms function within an environment at scales ranging from the individual organism up to ecosystems and the entire biosphere. We will also discuss the role of humans in nature.
Pre-req 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 2010 |
|
| SCN3697 |
CLIMATE CHANGE, BUSINESS AND SOCIETY |
2.00 credits |
| |
SCN3697
2 credit Advanced Liberal Arts
Climate Change, Business, and Society
This course will introduce you to global warming and provide a basic knowledge of what controls the earth's climate. We will examine the scientific evidence for human-induced changes to the climate and the role of global warming in politics, the business world, and popular media. We will discuss the current and potential future impacts of climate change for our natural ecosystems, human health, food supply, and the global economy. In addition we will explore how scientists study climate change, large-scale engineering Earth projects, green technology, carbon emissions trading, carbon sequestration, and ethical concerns for the environment and the global population. You will be able to apply this knowledge and assess the probable ecological impacts of your own lives, specifically business developments, and the major global developmental trends of human society.
|
|
| Fall 2009 |
|
| MFE3584 |
MCFE: BOSTON SCIENTIFIC |
4.00 credits |
| |
|
| 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
|
| 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
|
| QTM2300 |
HNRS APPLIED CALCULUS II |
3.00 credits |
| |
QTM2300 APPLIED CALCULUS II
Intermediate Liberal Arts (3 credits)
QTM2300 is designed for students who have taken a prior Calculus I course, or the Advanced Placement (AP) Calculus AB/BC course and not received calculus credit or a 4 or 5 on the AP test. The material covers the core quantitative methods subject matter that is used in advanced electives in Quantitative Methods (QTM) and is prerequisite to Babson's integrated core business offerings. Students are introduced to the applications and mathematical models that use linear optimization, differential calculus, integral calculus, differential equations, and infinite series. 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.
Pre-req: AP Calculus or QTM1300 (Students who took AP Calculus, but did not score a 4 or 5 on the AP Exam, may take this course before QTM2420/QTM2421 to earn calculus credit.)
|
| 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
|
| 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
|
| QTM2670 |
CRYPTOLOGY |
4.00 credits |
| |
QTM2670
Cryptology
(Advanced liberal arts)
This course introduces students to elementary yet challenging mathematics from several different branches of the subject including number theory, abstract algebra, matrix algebra, probability and statistics, all of which play a role in enciphering and deciphering secured messages. Topics covered will include a short history of Cryptology, the One Time Pad, the Vigenere Cipher, Modern Symmetric Ciphers, Block Ciphers, Complexity and Public Key Ciphers. As the internet becomes the primary channel for personal and commercial intercourse, it is of paramount importance that information and transactions are protected and secure. You will examine and evaluate various schemes for securing information and exchanges, and simultaneously study contemporary techniques for breaking security ciphers.
Prerequisite: QTM1300 or QTM1301
|
| 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
|
| 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
|
| SCN1340 |
BIODIVERSITY AND THE ENVIRONMENT |
3.00 credits |
| |
SCN1340 Biodiversity and the Environment
3.0 Credits Foundation Liberal Arts
This course will introduce students to the fundamentals of how nature operates. We will discuss the basic principles of biology, chemistry and physics as they relate to the natural world, focusing on the physical environment, the organisms in it, and how they interact. Interestingly, nature uses many of the same basic principles found in economics, so we will explore the role of economic theory in explaining how organisms function within an environment at scales ranging from the individual organism up to ecosystems and the entire biosphere. We will also discuss the role of humans in nature.
Pre-req 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
|
| SCN3693 |
SPORTS SCIENCE |
4.00 credits |
| |
SCN3692
Sports Doping
(Advanced Liberal Arts)
The use of illegal performance enhancing drugs and technologies in sports had been publicized by allegations and admissions of doping by high-profile athletes. This course will explore the science and ethics pf performance enhancement, including exercise physiology, the various drugs and procedures used by athletes in various sports, how testing is done to expose doping (and how reliable the testing is), the inconsistent rules and sanctions governing drug use in diverse sports and financial and other pressures that encourage illegal means of performance enhancement. Focus will be placed on those professional and amateur sports notorious for drug abuse, such as cycling, baseball, and the Olympics. Additional topics include legal use of biotechnology for athletes, drug use in college sports, and future "hi-tech" methods of performance enhancement
Prerequisite: SCN13%
% - Wildcard
|
|
| Summer I 2009 |
|
| QTM1310 |
PROB & STATS FOUNDATION |
3.00 credits |
| |
Week 1-2 TWRF
Week 3-6 MTWR
Week 7 MT
Final Exam Thursday, July 2nd 10:45 - 12:45pm
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 |
| |
Week 1-2 TWRF
Week 306 MTWR
Week 7 MT
Final Exam - Thursday, July 2nd 8:00-10:00am
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
|
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