Undergraduate Calendar 2002-2003
Undergraduate Calendar 2002-2003 | |
|
|
|
|
| STAT 202 LEC,TUT 0.50 | Course ID: 008859 |
| Elementary Statistics for Biologists | |
| Elementary probability, populations, samples and distributions with biological examples. Methods for data summary and presentation. Estimation, hypothesis testing, two-sample techniques and paired comparisons, regression, correlation. [Offered: F,W] | |
| Prereq: Science students only. | |
| Antireq: STAT 204, 220; (for Arts and Environmental Studies students) BIOL 460, ECON 221, ENVS 271, 277, 278, ISS 250A/B, 250R, KIN 222, PSCI 214, PSYCH 292, REC 371, 371A, SOC 280, STAT 204, 206, 211, 221, 231,241 | |
| STAT 204 LEC,TUT 0.50 | Course ID: 008860 |
| Statistics for the Physical Sciences 1 | |
| Descriptive statistics. Probability, random variables, discrete and continuous distributions. Estimation and hypothesis testing, regression, correlation. [Offered: F,W] | |
| Prereq: Science students only. | |
| Antireq: STAT 202, 220; (for Arts and Environmental Studies students) BIOL 460, ECON 221, ENVS 271, 277, 278, ISS 250A/B, 250R, KIN 222, PSCI 214, PSYCH 292, REC 371, 371A, SOC 280, STAT 204, 206, 211, 221, 231, 241 | |
| STAT 206 LEC,TUT 0.50 | Course ID: 010128 |
| Statistics for Software Engineering | |
| Empirical problem solving in software engineering. Measures of software reliability, maintainability and performance. Variation in software performance. Modelling structure and variation. Confidence intervals and hypothesis tests. Comparative studies and regression models. [Offered: F] | |
| Prereq: MATH 115, 138; Software Engineering students only. | |
| Antireq: (for Arts and Env Studies students) BIOL 460, ECON 221, ENVS 271, 277, 278, ISS 250A/250B, 250R, KIN 222, PSCI 214, PSYCH 292, REC 371, 371A, SOC 280, STAT 202, 204, 211, 221, 231, 241 | |
| STAT 211 LEC,TUT 0.50 | Course ID: 008861 |
| Introductory Statistics and Sampling for Accounting | |
| Descriptive statistics, probability, discrete and continuous random variables. Sampling distributions and simple hypothesis testing. Introduction to survey sampling. [Offered: F] | |
| Prereq: MATH 109; Arts Accountancy and Science Biotechnology/Chartered Accountancy students only | |
| STAT 220 LEC,TST,TUT 0.50 | Course ID: 008862 |
| Introduction to Statistical Methods 1 | |
| What is Statistics? Introduction to measurement. Pictorial and tabular methods. Numerical data summaries. Continuous distributions. Normal and exponential distributions. Behaviour of sample averages. Counting arguments. Discrete probability. Binomial and hypergeometric distributions. Sample surveys. Relationships. [Offered: F] | |
| Prereq: MATH 107 or 117 or 127 or 137/147; Not open to Honours Mathematics students. | |
| Antireq: STAT 230/240 | |
| Also offered by Distance Education | |
| STAT 221 LEC,TST,TUT 0.50 | Course ID: 008863 |
| Introduction to Statistical Methods 2 | |
| Geometric, negative binomial and Poisson distributions. Industrial problem solving using statistical methods.Tests of significance. Linear regression. [Offered: W] | |
| Prereq: STAT 220; Not open to Honours Mathematics students. | |
| Antireq: STAT 231/241; (for Arts & Env St students) BIOL 460, ECON 221, ENVS 271,277,278, ISS 250A/B,250R, KIN 222, PSCI 214, PSYCH 292, REC 371, 371A, SOC 280, STAT 202,204,206,211,231,241 | |
| Also offered by Distance Education | |
| STAT 230 LEC,TST,TUT 0.50 | Course ID: 008864 |
| Probability | |
| The laws of probability, discrete and continuous random variables, expectation, central limit theorem. | |
| [Note: STAT 230 is normally taken in second year. Students with an average of 80% in Honours Mathematics courses in 1A may request to enrol in STAT 230 in 1B. Offered at St. Jerome's University in the Fall term. Offered: F,W,S] | |
| Prereq: MATH 137/147; Honours Mathematics students only. | |
| Antireq: STAT 220, 240 | |
| Also offered at St. Jerome's University | |
| STAT 231 LEC,TST 0.50 | Course ID: 008865 |
| Statistics | |
| Empirical problem solving, measurement systems, causal relationships, statistical models, estimation, confidence intervals, tests of significance. | |
| [Note: Offered at St. Jerome's University in the Winter term. Offered: F,W,S] | |
| Prereq: MATH 138/148 and STAT 230/240; Honours Math only. | |
| Antireq: STAT 221, 241; (for Arts and Env St students) BIOL 460, ECON 221, ENVS 271,277,278, ISS 250A/B, 250R, KIN 222, PSCI 214, PSYCH 292, REC 371, 371A, SOC 280, STAT 202,204,206,211,221,241 | |
| Also offered at St. Jerome's University | |
| STAT 240 LEC,TST 0.50 | Course ID: 008866 |
| Probability (Advanced Level) | |
| STAT 240 is an advanced-level enriched version of STAT 230. | |
| [Note: STAT 240 is normally taken in second year. Students with an average of 80% in Honours Mathematics courses in 1A may request to enrol in STAT 240 in 1B. Students with a cumulative math average of at least 80% are encouraged to register in STAT 240. Offered: W] | |
| Prereq: MATH 137/147; Honours Mathematics students only. | |
| Antireq: STAT 220, 230 | |
| STAT 241 LEC,TST,TUT 0.50 | Course ID: 008867 |
| Statistics (Advanced Level) | |
| STAT 241 is an advanced-level enriched version of STAT 231. | |
| [Note: Students with a cumulative math average of at least 80% are encouraged to register in STAT 241. Offered: F] | |
| Prereq: MATH 138/148 and STAT 230/240; Honours Math only. | |
| Antireq: STAT 221, 231; (for Arts & Env St students) BIOL 460, ECON 221, ENVS 271,277,278, ISS 250A/B,250R, KIN 222, PSCI 214, PSYCH 292, REC 371, 371A, SOC 280, STAT 202,204,206,211,221,231 | |
| STAT 304 LAB,LEC 0.50 | Course ID: 008868 |
| Statistics for the Physical Sciences 2 | |
| Linear regression. Introduction to the design of experiments. Completely randomized and randomized block designs. Analysis of variance. [Offered: W] | |
| Prereq: STAT 202 or 204; Science students only. | |
| Antireq: STAT 311, 321, 324 | |
| STAT 311 LEC,TUT 0.50 | Course ID: 008869 |
| Regression and Forecasting for Accounting | |
| Review of summary statistics and tests of hypothesis. Simple and multiple linear regression. Prediction and diagnostic statistics. Simple smoothing and forecasting. [Offered: F,W] | |
| Prereq: STAT 211; Accountancy students only. | |
| Antireq: STAT 304, 321, 324 | |
| STAT 322 LEC,TUT 0.50 | Course ID: 008871 |
| Sample Surveys and Study Design | |
| Planning sample surveys; simple random sampling; stratified sampling. Observational and experimental studies. Blocking, randomization, factorial designs. Analysis of variance. Applications of design principles. [Offered: F] | |
| Prereq: STAT 221 or 231/241; Not open to students in Honours Mathematics. | |
| Antireq: STAT 332, 362; (for Arts and Environmental Studies students) BIOL 461, PSYCH 202, 391, STAT 430 | |
| STAT 324 LAB,LEC 0.50 | Course ID: 011041 |
| Statistical Methods and Computing | |
| Statistical reporting using a software package for statistical calculations; numerical and graphical summaries, contingency tables, significance tests and confidence intervals; regression methods; analysis of data from comparative studies. [Offered: W] | |
| Prereq: STAT 322; Not open to Honours Mathematics students. | |
| Antireq: CS 316, STAT 304, 322, 331, 361 | |
| STAT 330 LEC,TUT 0.50 | Course ID: 008872 |
| Mathematical Statistics | |
| Maximum likelihood estimation. Random variables and distribution theory. Generating functions. Functions of random variables. Limiting distributions. Large sample theory of likelihood methods. Likelihood ratio tests. | |
| [Note: Offered at St. Jerome's University in the Fall term. Offered: F,W,S] | |
| Prereq: MATH 237/247 and STAT 231/241; Not open to General Mathematics students | |
| Also offered at St. Jerome's University | |
| STAT 331 LAB,LEC,TUT 0.50 | Course ID: 008873 |
| Applied Linear Models | |
| Modeling the relationship between a response variable and several explanatory variables (an output-input system) via regression models. Least squares algorithm for estimation of parameters. Hypothesis testing and prediction. Model diagnostics and improvement. Algorithms for variable selection. Nonlinear regression and other methods. [Offered: F,W,S] | |
| Prereq: MATH 235/245, (STAT 231/ 241 or SYDE 214). | |
| Antireq: STAT 304, 311, 321, 324, 361, SYDE 334; (For Mathematics students only) ECON 321 | |
| STAT 332 LEC,TUT 0.50 | Course ID: 008874 |
| Sampling and Experimental Design | |
| Designing sample surveys. Probability sampling designs. Estimation with elementary designs. Observational and experimental studies. Blocking, randomization, factorial designs. Analysis of variance. Designing for comparison of groups. [Offered: F,S] | |
| Prereq: STAT 231/241 or SYDE 214; Not open to General Mathematics students. | |
| Antireq: STAT 322, 362 | |
| STAT 333 LEC,TUT 0.50 | Course ID: 008875 |
| Applied Probability | |
| Review of basic probability. Generating functions. Theory of recurrent events. Markov chains, Markov processes, and their applications. [Offered: F,W,S] | |
| Prereq: STAT 230/240 or SYDE 213; Level at least 3A; Not open to General Mathematics students | |
| STAT 340 LAB,LEC 0.50 | Course ID: 004408 |
| Computer Simulation of Complex Systems | |
| Building and validation of stochastic simulation models useful in computing, operations research, engineering and science. Related design and estimation problems. Variance reduction. The implementation and analysis of simulation results. [Offered: W] | |
| Prereq: (CS 114 or 124 or 134 or SYDE 221) and (STAT 231/241 or SYDE 214); Not open to Computer Science or General Mathematics students. | |
| Antireq: CS 457, STAT 371 | |
| (Cross-listed with CS 437) | |
| STAT 361 LAB,LEC,TUT 0.50 | Course ID: 008878 |
| Applied Linear Models for Business and Accounting | |
| Practical and theoretical aspects of simple and multiple regression models. Model fitting and testing. Model building. Analysis of variance. Applications to problems in business and accounting. [Offered: F,S] | |
| Prereq: MATH 235/245 and STAT 231/241; Math/Business, Business/Math or Math/Accountancy students only. | |
| Antireq: STAT 304, 311, 321, 324, 331; (For Mathematics students only) ECON 321 | |
| STAT 362 LEC,TUT 0.50 | Course ID: 011043 |
| Sampling and Design Techniques for Business and Accounting | |
| Design of economic, business and social surveys. Elementary probability sampling designs and estimation. Observational and experimental studies. Prinicples of design of experiments. Application to problems in business and accounting. [Offered: F] | |
| Prereq: STAT 231/241; Math/Business, Business/Math or Math/Accountancy students only. | |
| Antireq: STAT 322, 332 | |
| STAT 430 LEC,TUT 0.50 | Course ID: 008880 |
| Experimental Design | |
| Review of experimental designs in a regression setting; analysis of variance; replication, balance, blocking, randomization, and interaction; one-way layout, two-way layout, and Latin square as special cases; factorial structure of treatments; covariates; treatment contrasts; two-level fractional factorial designs; fixed versus random effects; split-plot and repeated-measures designs; other topics. [Offered: F,S] | |
| Prereq: STAT 331, 332; Not open to General Mathematics students. | |
| Antireq: (for Arts and Environmental Studies students) BIOL 461, PSYCh 202, 391, STAT 222 | |
| STAT 431 LEC 0.50 | Course ID: 008881 |
| Generalized Linear Models and their Applications | |
| Review of the normal linear model and maximum likelihood estimation; regression models for binomial, Poisson and multinomial data; generalized linear models; and other topics in regression modelling. [Offered: F] | |
| Prereq: STAT 330, 331; Not open to General Mathematics students | |
| STAT 433 LEC 0.50 | Course ID: 008882 |
| Stochastic Processes | |
| Point processes. Renewal theory. Stationary processes. Selected topics. [Offered: F] | |
| Prereq: STAT 333; Not open to General Mathematics students | |
| STAT 435 LEC 0.50 | Course ID: 011042 |
| Statistical Methods for Process Improvements | |
| Statistical methods for improving processes based on observational data. Assessment of measurement systems. Strategies for variation reduction. Process monitoring, control and adjustment. Clue generation techniques for determining the sources of variablity. Variation transmission. [Offered: W] | |
| Prereq: STAT 332 or 362; Not open to General Mathematics students | |
| STAT 440 LEC 0.50 | Course ID: 008883 |
| Statistical Computing | |
| Numerical algorithms in statistics; optimization techniques; elements and statistical uses of Monte Carlo methods; EM algorithm; model search and model averaging. [Offered: W] | |
| Prereq: STAT 331 or SYDE 334; Not open to General Mathematics students | |
| STAT 441 LEC 0.50 | Course ID: 008884 |
| Computational Exploration of Data | |
| Data visualization; dimension reduction, classification and discrimination, clustering algorithms; other topics in data exploration. [Offered: F] | |
| Prereq: STAT 331 or SYDE 334; Not open to General Mathematics students | |
| STAT 443 LEC 0.50 | Course ID: 008885 |
| Forecasting | |
| Model building. Multiple regression and forecasting. Exponential smoothing. Box-Jenkins models. Smoothing of seasonal data. [Offered: F,W] | |
| Prereq: STAT 331 or 361 or SYDE 334; Not open to General Mathematics students | |
| STAT 446 LEC,TUT 0.50 | Course ID: 003305 |
| Mathematical Models in Finance | |
| Mathematical techniques used to price and hedge derivative securities in modern finance. Modelling, analysis and computations for financial derivative products, including exotic options and swaps in all asset classes. Applications of derivatives in practice. [Offered: F,W] | |
| Prereq: ACTSC 231, STAT 330 or 333; Not open to General Mathematics students | |
| (Cross-listed with ACTSC 446) | |
| STAT 450 LEC,TUT 0.50 | Course ID: 008888 |
| Estimation and Hypothesis Testing | |
| Discussion of inference problems under the headings of hypothesis testing and point and interval estimation. Frequentist and Bayesian approaches to inference. Construction and evaluation of tests and estimators. Large sample theory of point estimation. [Offered: W] | |
| Prereq: STAT 330; Not open to General Mathematics students | |
| STAT 454 LEC 0.50 | Course ID: 008890 |
| Sampling Theory and Practice | |
| Sources of survey error. Probability sampling designs, estimation and efficiency comparisons. Distribution theory and confidence intervals. Generalized regression estimation. Software for survey analysis. [Offered: W] | |
| Prereq: STAT 332; Not open to General Mathematics students | |
| STAT 464 LEC 0.50 | Course ID: 008891 |
| Topics in Probability Theory | |
| Prereq: STAT 333; Not open to General Mathematics students | |
| STAT 466 LEC 0.50 | Course ID: 008892 |
| Topics in Statistics 1 | |
| Prereq: STAT 330, 331; Not open to General Mathematics students | |
| STAT 467 LEC 0.50 | Course ID: 008893 |
| Topics in Statistics 2 | |
| Prereq: Not open to General Mathematics students | |
| STAT 468 RDG 0.50 | Course ID: 008894 |
| Readings in Statistics 1 | |
| Prereq: Not open to General Mathematics students | |
| STAT 469 RDG 0.50 | Course ID: 010728 |
| Readings in Statistics 2 | |
| Prereq: Not open to General Mathematics students | |
|
|
|
The Undergraduate Calendar is published by the
Office of the Registrar, University of Waterloo,
Waterloo, ON N2L 3G1 Canada
Inquiries: infoucal@www.adm.uwaterloo.ca
Revised April 2002