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2016-2017 Undergraduate Academic Calendar [ARCHIVED CALENDAR]
Course descriptions
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Not all courses are offered in any one term or academic year.
Note: If searching by Code or Number be sure to include the U at the end of the number.
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Statistics |
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STAT 2010U – Statistics and Probability for Physical Science
This course introduces the concepts and techniques of statistics and probability to colt, present, analyze and interpret data, and make decisions in the presence of variability. Students study a selection of topics relevant to physical science, selected from: basic concepts of probability theory: events, sample spaces, probability; basic concepts of discrete mathematics: set theory, propositional logic, combinatorics; probability: marginal probability, conditional probability, independence, discrete and continuous random variables; probability distributions: binomial, Poisson, uniform, normal, etc.; mean and variance; the central limit theorem; statistical inference: estimation, significance tests, confidence intervals; one way analysis of variance tests; introduction to experimental design.
Credit hours: 3
Lecture hours: 3
Prerequisite(s): MATH 1020U
Credit restriction(s): BUSI 1450U , HLSC 3800U , SSCI 2910U , STAT 2020U , STAT 2800U
Note(s): This course may be offered in a hybrid format with 1.5 hours of lectures and 1.5 hours of online lectures and self-learning material.
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STAT 2020U – Statistics and Probability for Biological Science
This course introduces the concepts and techniques of statistics and probability to colt, present, analyze and interpret data, and make decisions in the presence of variability. Students study a selection of topics relevant to biological science, selected from: basic concepts of probability theory: events, sample spaces, probability; basic concepts of discrete mathematics: set theory, propositional logic, combinatorics; probability: marginal probability, conditional probability, independence, discrete and continuous random variables; probability distributions: binomial, Poisson, uniform, normal, etc.; mean and variance; the central limit theorem; statistical inference: estimation, significance tests, confidence intervals; Chi Square Tests; introduction to experimental design; introduction to correlation and regression.
Credit hours: 3
Lecture hours: 3
Prerequisite(s): MATH 1020U
Credit restriction(s): BUSI 1450U , HLSC 3800U , SSCI 2910U , STAT 2010U , STAT 2800U
Note(s): This course may be offered in a hybrid format with 1.5 hours of lectures and 1.5 hours of online lectures and self-learning material.
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STAT 2800U – Statistics and Probability for Engineers
This course introduces the concepts and techniques of statistics and probability to collect, present, analyze and interpret data, and make decisions in the presence of variability. Students study a selection of topics relevant to engineering, selected from: sample spaces, probability, conditional probability, independence. Bayes’ theorem, probability distributions, algebra of expected values, descriptive statistics. Discrete and continuous random variables; probability distributions: binomial, Poisson, normal, lognormal, Weibull, etc.; mean and variance; the central limit theorem; inferences concerning means, variances, and proportions. Parameter estimation, introduction to correlation and regression. Introduction to quality control and reliability.
Credit hours: 3
Lecture hours: 3
Prerequisite(s): MATH 1020U
Credit restriction(s): BUSI 1450U , HLSC 3800U , SSCI 2910U , STAT 2010U , STAT 2020U
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STAT 3010U – Biostatistics
Designed to help students understand and apply the commonly used advanced statistical methods to data that they are likely to encounter in their careers. The emphasis is on the design of research projects, data acquisition, analysis and interpretation of results. Topics to be covered include multiple regression, two factor ANOVA, logistic regression, nonparametric analysis, and re-sampling methods.
Credit hours: 3
Lecture hours: 3
Prerequisite(s): STAT 2010U or STAT 2020U
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