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  • PSY 3600: Abnormal Psychology

    4.00 Credits
    Babson College

    4.00 credits PSY3600 Abnormal Psychology 4 credit Advanced Liberal Arts Mental health problems disrupt the lives of millions of Americans every day. This advanced psychology course will examine major mental illness from various perspectives. Primarily discussion-based, students will learn the symptoms, etiology, course, prevalence, and treatment of various forms of psychopathology, including anxiety disorders, depression, ADHD, Asperger's disorder, and bipolar disorder. Students will also learn about the history of disorder in Western thought, and explore contemporary clinical practices such as diagnosis, case formulation, and treatment. Students will also be expected to research a specific disorder, and present their findings in class. Prerequisites: 3 Intermediate Liberal Arts Courses (CVA, HSS, LVA)
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  • QTM 1300: App Calculus With Quant Methods

    3.00 Credits
    Babson College

    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
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  • QTM 1310: Prob & Stats Foundation

    3.00 Credits
    Babson College

    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
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  • QTM 1311: Honors Prob & Stats Foundation

    3.00 Credits
    Babson College

    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
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  • QTM 2300: Hnrs Applied Calculus II

    3.00 Credits
    Babson College

    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.)
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  • QTM 2420: Applied Quant Modeling

    3.00 Credits
    Babson College

    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
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  • QTM 2421: Honors Quant Model

    3.00 Credits
    Babson College

    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
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  • QTM 2601: Applications of Discrete Math

    4.00 Credits
    Babson College

    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
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  • QTM 2670: Cryptology

    4.00 Credits
    Babson College

    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
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  • QTM 3610: Applied Multivariate Statistics

    4.00 Credits
    Babson College

    4.00 credits QTM3610 (formerly QTM2610) Applied Multivariate Statistics (Advanced Lib Arts) This course extends the modeling tools presented in prior statistics courses and focuses on the application and validation of models developed using real data in the context of finance, economics, and marketing research. Examples of applications include modeling the impact of advertising on sales, admission yields for business schools, patterns of voting behavior and a variety of survey data. This course focuses on implementing data analysis techniques using a statistical software package and interpreting the results in a decision-making environment. Emphasis is placed on understanding the limitations of modeling approaches, as well as the diversity of potential applications in business Prerequisite: QTM2420 or QTM2421 This course is typically offered in the following semester: Spring
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