Bradley Logo Schedule of Classes  
Fall Semester 2017  

Quantitative Methods
Jannett K Highfill • Campustown 112 • 677-2304
Q M260Quantitative Methods in Finance (3 hours)Seats
Prerequisite: MTH 115 or MTH 121.
 01 TT10:30 AM -11:45 AM BUR010 Allen L Webster  0
Q M262Quantitative Analysis ICore: QR(3 hours)Seats
Prerequisite: MIS 173; MTH 109 or MTH 115 or higher
 01 TT9:00 AM -10:15 AM JOB304 Vince E Showers  10
 02 MW3:30 PM -4:45 PM MOR304 Greg Jetton  11
 03 TT3:30 PM -4:45 PM JOB308 Allen L Webster  0
 04 MW2:00 PM -3:15 PM MOR304 Greg Jetton  0
Q M263Quantitative Analysis II (3 hours)Seats
Prerequisite: Q M 262; MTH 115 or 121; BMA 173
 01 TT2:00 PM -3:15 PM JOB300 Allen L Webster  16
 Class meets August 24 through December 5;  Last day to add: September 5
 Last day to drop without "W" on transcript: September 12;  Last day to drop with "W" on transcript: November 9
 02 TT10:30 AM -11:45 AM BR139 Greg Jetton  2
Q M326Business Forecasting (3 hours)Seats
Prerequisite: QM 263 and junior/senior standing.
 01 MW12:35 PM -1:50 PM BR322 Philip A Horvath  0
Q M498Independent Study in Quantitative Methods (1 to 3 hours)Seats
Prerequisite: junior/senior standing; 2.5 cumulative grade point average; consent of Department Chair.
 01 *R* Arr     Philip A Horvath   
 "Intro Bayesian Stats"
Introduction to mathematics of finance. Emphasis is placed on the applications of mathematical techniques to important financial concepts such as capital budgeting, measures of risk and return, investments, and market efficiency. Techniques of optimization as applied to diversification and portfolio management.
Introduction to descriptive and inferential statistics with an emphasis on business applications. Topics covered include computation and application of descriptive measures, probability distributions, sampling, confidence intervals, hypothesis testing, correlation, and simple linear regression.
Linear and multiple regression, correlation, analysis of variance, contingency tables, time series, decision theory, and non-parametric methods. Data analysis using statistical computer packages.
Develops basic principles and techniques of forecasting through integration of scientific and judgmental forecasting in financial applications. Objective analysis of historical data is combined with subjective insight to demonstrate how data for budgets can be developed, profits maximized, and risks reduced. Emphasis on use of forecasting by individual firms.
Studies undertaken by academically qualified students under guidance of a faculty member. Open to Finance and Quantitative Methods Department majors only. May be repeated under different topics for a maximum of six hours.
This course meets a Core Curriculum requirement.
OC - Communication - Oral Communication
W1 - Communication - Writing 1
W2 - Communication - Writing 2
FA - Fine Arts
GS - Global Perspective - Global Systems
WC - Global Perspective - World Cultures
HU - Humanities
NS - Knowledge and Reasoning in the Natural Sciences
SB - Knowledge and Reasoning in the Social and Behavioral Sciences
MI - Multidisciplinary Integration
QR - Quantitative Reasoning
This section meets a Core Curriculum requirement.
IL - Integrative Learning
WI - Writing Intensive
Picture of Instructor

Choose a different department

Choose a different semester

Search Class Database