Department Chair

  • John O'Neill
    Associate Dean, School of Business
    Associate Professor of Quantitative Business Analysis
    Siena Hall 301B
    (518) 783-2386
    joneill@siena.edu

Course Descriptions

School of Business

Quantitative Business Analysis

Quantitative Business Analysis Course Descriptions

QBUS—100. Mathematics for Decision Making I (3 hours lecture) 3 credits
Mathematical techniques applied to business situations. The topics include mathematics of finance, linear equations and functions, graphs of functions, systems of linear equations, inequalities, linear programming, and non-linear models. This course should be the first course taken in quantitative business. A graphics calculator is required; the TI-83 or TI-84 calculator is recommended. Prerequisites: none. (ATTR: ARTS, CAQ)

QBUS—110. Mathematics for Decision Making II (3 hours lecture) 3 credits
This course completes the coverage of mathematical techniques for business situations, introducing additional mathematical techniques including applied calculus. The topics covered include nonlinear models, derivatives, graphing and optimization with derivatives, and integration. A graphics calculator is required; the TI-83 or TI-84 calculator is recommended. Prerequisite: QBUS—100. (ATTR: ARTS, CAQ)

QBUS—200. Business Statistics I 3 credits
An introductory course in business statistics covering the topics of descriptive statistics, discrete probability distributions, the normal distribution, sampling distributions, estimation, hypothesis testing, statistical quality control, simple linear regression and correlation. A statistical software package is used. Prerequisites: QBUS—110 or MATH--110, demonstrated facility with computerized spreadsheet applications (completion of CSIS—010 or CSIS--011 or passing of a Computer Science exam demonstrating competence with computerized spreadsheets). Not open to students who have taken ATDV—110. (ATTR: BUS)

QBUS—210. Business Statistics II 3 credits
Offered when there is sufficient student interest. A study of applied statistical methodology. Using Statistics I as a foundation, the following topics are covered: experimental design and analysis of variance, multiple regression, nonparametric statistical methods, Bayesian decision making, time series and discriminant analysis. Prerequisite: QBUS—200. (ATTR: BUS)

QBUS—300. Operations Management 3 credits
A study of the principles and the applications used in operations management. The topics covered include operations strategy, managing for quality, forecasting, project management, supply chain management, and inventory management. Prerequisites: QBUS— 100, 110 or MATH—110;QBUS—200 or ATDV—110 or MATH—270. (ATTR: BUS)

QBUS—310. Management Science 3 credits
Offered when there is sufficient student interest. A study of the quantitative methods used in Management. The topics covered, both in theory and application, include goal, integer and dynamic programming, inventory control, simulation techniques, transportation and assignment problems, queuing, network models, Markov chains, and Heuristics. Prerequisites: QBUS—100, 110 or MATH—110;QBUS—200 or ATDV—110 or MATH—270. (ATTR: BUS)

QBUS—495. Independent Study 1 - 3 credits
A qualified student may pursue a particular topic/project in the field of Quantitative Business Analysis in his/her junior or senior year. The project requires the approval of the faculty member involved, the Department Head and the School of Business Dean. The number of credits to be awarded (1 to 3) will be determined by the Department Head. (ATTR: BUS) A satisfactory written report will determine the final grade. Independent Study may be taken twice for credit. Prerequisites: QBUS— 100, 110 or MATH—110,120;QBUS—200 or ATDV—110, or MATH— 270; and one course from QBUS—210, 300 or 310; junior or senior status; permission of Department Head and School of Business Dean.