UBC Okanagan

Course Descriptions

Statistics, Faculty of Science

STAT: Statistics

STAT 121 (3) Elementary Statistics

Descriptive and inferential statistics, elementary probability, probability distributions, estimation of parameters, hypotheses testing, correlation, linear regression. Credit will be granted for only one of STAT 121 or STAT 124. [3-1-0]
Prerequisite: Either (a) a score of 60% or higher in one of MATH 125, MATH 126 or (b) a score of 67% or higher in one of MATH 12, PREC 12.

STAT 124 (3) Business Statistics

Introduction to surveys and simple sampling strategies; descriptive methods for one and two variables; frequency distributions; correlation and regression; descriptive methods for time series and index numbers; and probability and relationship to statistical inference. Good for CA, CMA credit. Credit will be granted for only one of STAT 121, STAT 124. [3-1-0]
Prerequisite: One of Principles of Mathematics 11, Pre-Calculus 11, Foundations of Mathematics 12.

STAT 224 (3) Mathematics of Finance

Simple interest and discount, compound interest and discount, simple and general annuities, amortization of debts, bonds, depreciation, probability, mortality tables, contingent payments, life annuities and insurance. Calculations will be carried out using a modern scripting language.
Prerequisite: DATA 101 and one of MATH 100, MATH 116 and one of STAT 121, STAT 124.

STAT 230 (3) Introductory Statistics

Applied statistics for students with a first-year calculus background. Estimation and testing of hypotheses, problem formulation, models and basic methods in analysis of variance, linear regression, and non-parametrics. Descriptive statistics and probability are presented as a basis for such procedures. [3-1-0]
Prerequisite: One of MATH 101, MATH 103, MATH 142 and one of DATA 101, COSC 221, ECON 102.

STAT 303 (3) Introduction to Probability

Basic notions of probability, random variables, expectation and conditional expectation and limit theorems. [3-0-0]
Prerequisite: MATH 200.
Equivalency: MATH 302.

STAT 400 (3) Statistical Communication and Consulting

Development of broad guidelines for a comprehensive approach to data analysis with a focus on communicating statistical ideas from planning experiments to the presentation of results. Topics include criteria for selection of suitable methodologies, data preparation, outlier detection, and exploratory data analysis. Credit will be granted for only one of DATA 500 or STAT 400 when the subject matter is of the same nature. [3-0-0]
Prerequisite: DATA 311, and fourth-year standing in the Data Science major or honours program.

STAT 401 (3) Probability and Statistical Inference

Formal introduction to the theory of statistical modelling with a focus on distributions of data, likelihood based inference for learning unknown parameters, construction of confidence intervals and development of tests. Bayesian methods will be used to contrast standard statistical procedures. [3-1-0]
Prerequisite: All of STAT 230, STAT 303.

STAT 403 (3) Stochastic Processes

Random walks, Markov chains, Poisson processes, continuous time Markov chains, birth and death processes, exponential models, and applications of Markov chains. [3-0-0]
Prerequisite: STAT 303.

STAT 406 (3) Environmetrics

Foundation of the use of statistical concepts and methods in environmental science and management. Scientific problem-solving using statistical methods. Integration of the formulation of objectives, study design, and quantitative methods appropriate for the design. The role and use of statistical software packages. [3-0-0]
Prerequisite: STAT 230.

STAT 448 (3/6) d Directed Studies in Statistics

Investigation of a specific topic as agreed upon by the student and the faculty supervisor. Completion of a project and an oral presentation are required. No more than 6 credits of STAT 448 may be taken for credit.
Prerequisite: Successful completion of 15 credits of 300- or 400-level MATH and STAT courses; and permission of the department head and faculty supervisor.

STAT 449 (3-9) d Special Topics in Statistics

Students should consult with the unit to determine the availability of specific topics to be offered under the direction of a staff member. May be taken more than once with different topics.
Prerequisite: Permission of the department head.

STAT 507 (3) Sampling and Design

Collection of data using either designed experiments or survey samples. Planning and practice of data collection. Observational and experimental data pros and cons. Standard methods in survey samples. Experimental design review. Credit will be granted for only one of DATA 407, or STAT 507.

STAT 538 (3) Advanced Statistical Modelling

Least-squares, generalized least-squares and likelihood estimation. Theory and application of parametric and non-parametric regression models such as splines, penalized splines, and generalized additive models. Assessment and treatment of data issues including missingness and measurement error. Credit will be granted for only one of DATA 410, or STAT 538. [3-2-0]

STAT 547 (2-15) d Topics in Statistics

Topics chosen from different areas within the field of statistics, such as time series, longitudinal and multi-level modelling, multivariate analysis, machine learning, resampling and permutation methods, smoothing and filtering, survival analysis, sports analytics and spatial statistics. Content will be determined so as to complement course offerings and meet the needs of the students. With the permission of the department head, this course may be taken more than once on a different topic. [3-0-0]

STAT 560 (3) Probability and Stochastic Processes

Theory of probability, including random variables, expectation, conditional expectation, generating functions, modes of convergence of random variables and their distributions. Applications to random models such as Markov, Poisson, birth-death, Gaussian and diffusion processes. [3-0-0]