Course Offerings

Course Offerings

QBUS – 090. Introductory Topics in Quantitative Business 1-3 credits
This course will be taught with varying subject content in the field of Quantitative Business at an introductory level with no prerequisites. The particular content will be indicated by subtitle. This course is not intended for students within the School of Business and may not be taken for credit by students enrolled in a major offered by the School of Business. School of Arts and School of Science students may take this course for elective credit only. It may be taken more than once with different content. (ATTR:BUS)

QBUS—100. Mathematics for Decision Making I 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, CDQ)

QBUS—110. Mathematics for Decision Making II 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—120. Methods for Decision Making 3 credits
An introductory course discussing (multivariable) calculus basic probability, and decision theory with a focus on business applications. Topics include several variable function theory, partial differentiation, optimization problems and LaGrange multipliers, Taylor polynomials, infinite series. Basic probability and its application to payoffs and losses, utility, decision trees and sensitivity analysis. Bayesian analysis, inference and decision making. Prerequisites: QBUS 110 or MATH 110. (ATTR: ARTS)

QBUS—200. Business Statistics I 4 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 successful completion of a Computer Science exam demonstrating competence with computerized spreadsheets). Not open to students who have taken ATDV—110. Counts as a liberal arts and science course for students entering Fall 2011 or later. (ATTR: ARTS, CFN)

***QBUS—210. Business Statistics II 3 credits
A study of applied statistical methodology. Topics from among the following will be covered: experimental design and analysis of variance, multiple regression, nonparametric statistical methods, Bayesian decision making, time series, discriminant analysis and autoregressive modeling. Prerequisite: QBUS—200 or permission of instructor. (ATTR: BUS)

QBUS – 250. Applied Matrix Algebra 3 credits
Matrix Algebra has a wide application of uses in various business disciplines through applications of classical linear algebra techniques. The techniques demonstrated in this course will assist students in solving problems including multidimensional linear programming, assignment problems, Markov chains and stochastic processes, Leontif Economic Models and Cryptography. Calculations will be assisted via the use of R. Prerequisites: QBUS-110 and QBUS-120 or MATH-110 and MATH-120. (ATTR: ARTS)

QBUS – 290. Intermediate Topics in Quantitative Business 1-3 credits
This course will be taught with varying subject content in the field of Quantitative Business at an intermediate level. Prerequisite course may be required. The particular content will be indicated by subtitle. It may be taken more for credit multiple times for different topics. (ATTR:BUS)

QBUS – 320. Time Series Analysis 3 credits
Time series data occur when describing trends or when tracking internal organizational pratices which may have internal structures such autocorrelation, seasonal variation, and cyclical trends. Techniques for exploring this type of data include regression, autoregressive modeling, random walks, smoothing and decomposition of time series, and qualitative techniques. Prerequisites: QBUS-210. (ATTR: BUS)

QBUS—480. Mathematics of Finance 3 credits
This course builds on the knowledge base contained in previous courses taken by actuarial students. The goal is to reinforce understanding of the fundamental concepts of financial mathematics, and how those concepts are applied in calculating present and accumulated values for various streams of cash flows as a basis for future use. Students will review basic financial instruments and expand their knowledge base to more modern financial analysis using yield curves, spot rates and immunization. Finally students will be introduced to the concept of risk management and understand how principles such as derivatives, forwards, futures, short and long positions, call and put options, spreads, collars, hedging, arbitrage, and swaps affect a firm’s risk. (Same as MATH—480). Prerequisite: FINC—301, FINC—315 and MATH—120, or permission of instructor. (ATTR: ARTS, BUS, MHUL)

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. 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, MGMT--300 or MGMT--310; junior or senior status; permission of Department Head and School of Business Dean. (ATTR: BUS)

QBUS – 420. Business Intelligence Tools 3 credits
The course will give hands-on experience using Business Intelligence tools (Tableau and Excel). Successful businesses typically collect, analyze and utilize information more effectively than their competitors. Emerging technology can capture large volumes of data which can overpower current evaluative methods, interfering with a bussness’ ability to analyze and utilize new information. These challenges are addressed in this course so that learners can become more intelligent information users in their chosen field. Prerequisites: QBUS-320. (ATTR: BUS)

Department Chair

Joseph P. McCollum

Associate Professor of Quantitative Business Analysis

224 Kiernan Hall

(518) 782‑6511