|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
Seminar topics include: Nonverbal Communication, Rhetorical Criticism, Advanced Argumentation, Advanced Persuasion, Debate, Interpersonal Communication in Group Interaction, Communication in Conflict Management. Prerequisite: Six hours of speech, of which at least three hours must be at the 100 level. Credits: 3. Spring only. Credits: 3
-
3.00 Credits
Various study designs considered. Graphical and analytic techniques for presenting results. Wide variety of applications surveyed. PC-based software used. Experience gained in sample survey work. Prerequisite: High school algebra. Credits: 3
-
3.00 Credits
Introduction to probabilistic and statistical reasoning, including probability distribution models and applications to current scientific/social issues. Roles of probability, study design, and exploratory/confirmatory data analysis. Prerequisites: Two years H.S. algebra. No credit for sophomores, juniors, or seniors in the mathematical and engineering sciences. Credits: 3
-
1.00 - 3.00 Credits
Lectures, reports, and directed readings at an introductory level. Prerequisite: As listed in course schedule. Credits: 1 - 3
-
3.00 Credits
Basic statistical concepts, methods, and applications, including correlation, regression, confidence intervals, and hypothesis tests. Prerequisites: Two years of high school algebra, sophomore standing. Credits: 3.
-
-
3.00 Credits
Foundational course for students taking further quantitative courses. Exploratory data analysis, probability distributions, estimation, hypothesis testing. Introductory regression, experimentation, contingency tables, and nonparametrics. Computer software used. Prerequisites: Math. 11, 13, 19 or 21, sophomore standing. Credits: 3
-
3.00 Credits
Data analysis, probability models, parameter estimation, hypothesis testing. Multifactor experimental design and regression analysis. Quality control, SPC, reliability. Engineering cases and project. Statistical analysis software. Prerequisites: Math. 12, 14, 20 or 22, sophomore standing. Credits: 3
-
3.00 Credits
Foundations of probability, conditioning, and independence. Business, computing, biological, engineering reliability, and quality control applications. Classical discrete and continuous models. Pseudo-random number generation. Prerequisites: Math. 12, 14, 20 or 22. Credits: 3
-
22.00 Credits
Foundations of probability, conditioning, independence, expectation and variance. Discrete and continuous probability distributions. Computer simulation examples. Introductory descriptive and inferential statistics. Simple regression analysis. Pre/co-requisites: Math 20 or 22. Credits: 3
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2025 AcademyOne, Inc.
|
|
|