Queen's UniversityThe Faculty of Engineering and Applied Science
 
  

The Faculty of Engineering and Applied Science Calendar
2011-2012 Academic Year

Applied Science Courses of Instruction Statistics Courses (core to Engineering Program)

Statistics Courses (core to Engineering Program)
STAT 267 Engineering Data Analysis
Course is identical to STAT 367 with the exception that STAT 367 has one extra tutorial session. (38/0/0/4/0)
~ COURSE DELETED IN 2009/10 ~

PREREQUISITES: APSC 171, APSC 172
EXCLUSIONS: STAT 261, STAT 263, STAT 266, STAT 367
back to top
MTHE 351 Probability I F 3-0-.5 3.5
This course is a PREREQUISITE for theoretical statistics courses and further courses in probability and stochastic processes. Basic probability theory: probability models; discrete and continuous random variables; moments; jointly distributed random variables; transformations and generating functions. Inequalities and limit laws. Distributions include: binomial, Poisson, exponential, gamma, normal. Applications include: elementary stochastic processes, time-to-failure models, binary communication channels with Gaussian noise. (42/0/0/0/0)
COREQUISITE:  MTHE 280
EXCLUSION:  STAT 251
back to top
MTHE 353 Probability II W 3-0-0 3
Intermediate probability theory as a basis for further study in mathematical statistics and stochastic processes; probability measures, expectations; modes of convergence of sequences of random variables; conditional expectations; independent systems of random variables; Gaussian systems; characteristic functions; Law of large numbers, Central limit theory; some notions of dependence. (36/0/0/0/0)  PREREQUISITES: STAT 251 or MTHE 351 (STAT 351), APSC 174, MTHE 281 (MATH 281)
back to top
MTHE 367 Engineering Data Analysis W 3-0-1 4
Exploratory data analysis -- graphical and statistical analysis and presentation of experimental data.  Random sampling.  Probability and probability models for discrete and continuous random variables.  Process capability.  Normal probability graphs.  Sampling distribution of means and proportions.  Statistical Quality Control and Statistical Process Control.  Estimation using confidence intervals.  Testing of hypothesis procedures for means, variances and proportions -- one and two samples cases.  Liner regression, residuals and correlation.  ANOVA.  Use of statistical software. (36/0/0/12/0) PREREQUISITES: APSC 171, APSC 172
EXCLUSIONS: STAT 261, STAT 263, STAT 266, MTHE 267 (STAT 267)
back to top
MTHE 454 Statistical Spectrum Estimation W 3-0-0 3
Many systems evolve with an inherent amount of randomness in time and/or space. The focus of this course is on developing and analyzing methods for analyzing time series. Because most of the common time--domain methods are unreliable, the emphasis is on frequency--domain methods, i.e. methods that work and expose the bias that plagues most time--domain techniques.  Slepian sequences (discrete prolate spheroidal sequences) and multi--taper methods of spectrum estimation are covered in detail. (12/0/0/12/12)
~ COURSE NOT OFFERED IN 2011-2012 ~
PREREQUISITES: MTHE 353 (STAT 353), MTHE 312 (MATH 312); or MTHE 338 (MATH 338), STAT 251; or STAT 261 , MATH 321; or permission of the instructor
back to top
MTHE 455 Stochastic Processes and Applications F 3-0-.5 3.5
A review of the basic tools of probability and definitions and illustrations of various concepts of applied stochastic processes. Topics include: Markov chains, Brownian motion and the following processes: Markov, Poisson, branching, birth and death, Polya, multi-dimensional, queuing, epidemic, diffusion, non-Markovian, renewal and random noise. (28/0/0/14/0) PREREQUISITES: MTHE 353 (STAT 353) or one of STAT 251, MTHE 351 (STAT 351), ELEC 326 with permission of the instructor
back to top

Applied Science Courses of Instruction Statistics Courses (core to Engineering Program)
previous chapter previous page next chapter
Queen's University home| Applied Science Faculty| Site Map| Programs| EngSoc| Search