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Course Criteria
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3.00 Credits
DECISION ANALYSIS (3) The second course of the business statistics sequence. This course covers advanced statistical methods applying those methods to business problems including: TQM, SPC, control charts (x and p) and process capability. Computer applications and software packages are included. Prerequisite: MATH 1500/214; QBA 2000/200. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Business College Business Department
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3.00 Credits
ADVANCED DECISION MODELS (3) Methods of Assessing Probability Distributions, Non-Parametric Statistics, Risk Analysis, Expected Value Method, Payoff Table Approach, Test of Randomness, Bayesian Analysis of Decision, and Subjective Probability in Decision Making. Prerequisite: QBA 2000/200, 3260/226. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Business College Business Department
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3.00 Credits
BUSINESS FORECASTING METHODS (3) Basic concepts in business forecasting. Simple linear regression, Least Squares, ridge regression, moving averages and smoothing methods, time series, Bos Jenkins (ARIMA) methodology. Computer packages. Credit not given for both INSY 3310/331 and QBA 3310/331. Prerequisite: QBA 2000/200, 3260/226 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Business College Business Department
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3.00 Credits
SAMPLING IN THE BUSINESS ENVIRONMENT (3) Basic concepts of survey sampling with applications to business. Simple random samples, stratified sampling. Survey design including questionnaire and sample size determination. Inference about population means and proportions via confidence intervals with emphasis on "margin of error." Class project will include a survey design followed by data collection, analysis and report. Prerequisite: QBA 2000/200; MATH 1400/209; MGMT 3240/224. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Business College Business Department
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3.00 Credits
SIMULATION (3) An introduction to the concepts of simulation techniques and their application to the analysis of business systems. Use of the computer to solve simulation problems. Simulation is an advanced course for quantitative methods of analysis, one that is particularly useful in predicting action, requirements, and costs in situations of risk and uncertainty. Prerequisite: MATH 1400/ 209, INSY 1360/ 136; QBA 2000/ 200 and MGMT 3240/ 224. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Business College Business Department
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3.00 Credits
3.000 Credit Hours Levels: Undergraduate Schedule Types: Lecture College of Education College Read,Elem Ed,Lib&CM Department Course Attributes: Developmental Course
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1.00 Credits
READING CERTIFICATION REVIEW (1) This course is an elective designed to assist students in passing the inois Certification Examination. This course may not be counted for degree credit. 1.000 Credit Hours 1.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Education College Read, Elem Ed, Mids, Bil Department
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1.00 Credits
1.000 Credit Hours Levels: Undergraduate Schedule Types: Lecture College of Education College Read,Elem Ed,Lib&CM Department
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3.00 Credits
ADVANCED COLLEGE READING SKILLS (3) Provides student with college level reading skill development divided into three components: (1) advanced vocabulary building; (2) critical reading in subject areas; and (3) study skills. Laboratory session: application of course content in small group sessions or computer assisted instruction. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Distance Learning(Web) College of Education College Read, Elem Ed, Mids, Bil Department
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3.00 Credits
3.000 Credit Hours Levels: Undergraduate Schedule Types: Lecture College of Education College Read,Elem Ed,Lib&CM Department
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