May 26, 2024  
University of Alberta Calendar 2020-2021 
    
University of Alberta Calendar 2020-2021 [ARCHIVED CATALOG]

Course Listings


 

Details of Courses

Courses taught at the University of Alberta are listed alphabetically. All courses, except those taught by Faculté Saint-Jean, are described in English.

Each course is designated by its computer abbreviation and a number. Students should use this abbreviation and number when completing any form requiring this information.

Courses are numbered according to the following system:

000-099 Pre-University
100-199 Basic Undergraduate. Normally requires no university-level prerequisites. Designed typically for students in the first year of a program.
200-299 Undergraduate. Prerequisites, if any, are normally at the 100-level. Designed typically for students in the second year of a program.
300-399 Undergraduate. Prerequisites, if any, are normally at the 200-level. Designed typically for students in the third year of a program.
400-499 Advanced Undergraduate. Prerequisites, if any, are normally at the 300-level. Designed typically for students in the fourth year of a program.
500-599 Graduate. Designated for graduate students and certain advanced or honors undergraduate students in their final year.
600-799 Graduate Courses
800-899 Special Registrations
900-999 Graduate Thesis and Project Numbers

For the purposes of program descriptions and prerequisite designation, courses numbered 100-199 are designated as Junior Courses and courses numbered 200-499 are designated as Senior Courses.

Note: Some exceptions to the course number system described above have been granted to the Faculty of Law and the Faculty of Medicine and Dentistry.

Course Description Symbols and Figures

Several symbols and figures are used to indicate the type, duration, and weight of courses.

  1. ★—Indicates “units of course weight,” and usually follows the course title. The accompanying number indicates the weight of the course as used in computing grade point averages and for meeting degree requirements.
    A course which runs throughout the Fall/Winter (i.e., from September through April) is usually weighted ★6. A course that runs for only one term (i.e., Fall: from September to December, or Winter: from January through April) is usually weighted ★3. Certain courses are offered over Fall/Winter or Spring/Summer, or in one term, with weights of ★1, ★2, and ★4. These are considered as one-sixth, one-third, and two-thirds of a Fall/Winter or Spring/Summer course, respectively. Some honors and graduate courses involving research may vary in weight according to the length and difficulty of the project. Some clinical courses may vary in weight according to the length of clinical experience. Some courses, not included in the computation of grade point averages, are offered for credit only and either carry a weight of ★0, or are marked as “Credit.”
    Undergraduate students who take courses offered by the Faculty of Engineering but are not registered in Engineering will have a course weight assigned for these courses according to the protocol of their home Faculty.
  2. fi—Denotes: “fee index,” the value used to calculate the instructional fees for each course. The fee index is multiplied by the fee index value (given in the appropriate subsection of Fees Payment Guide ) to give the dollar value of instructional fees for the course.
    For normal courses, the fee index is twice the value of the units of course weight; for example, a course with ★3 normally has fi 6. In cases where exceptional fees considerations need to be made, the fee index is set differently by the Board of Governors.
    Note that certain programs (e.g., MD, DDS, etc.) are assessed on a program fee basis for all or certain years. In these cases, the fee index calculation does not apply.
  3. (x term, a-b-c)—These figures in parentheses give information on when the course is offered and the hours of instruction required by the course in a week, or in some cases the total time in a term.
    In the case of a single-term course, the term in which the course is given is mentioned (item x). The designation “either term” means that the course may be offered either in the first term or in the second term or in each term, at the discretion of the department concerned. The designation “variable” means that the course may be taught either as a single-term or as a full-session course.
    Item a indicates lecture hours. Item b indicates seminar hour(s), demonstration hours (d), clinic hours (c), or lecture-laboratory hours (L). Item c indicates laboratory hours. For two-term courses, the hours of instruction are the same in both terms unless otherwise indicated. The expression 3/2 means 3 hours of instruction every second week; 2s/2 means 2 seminar hours every second week.
    Examples:
    (first term, 3-0-3): a course taught in first term with 3 hours lecture, no seminar, and 3 hours lab per week.
    (second term, 0-1s-2): a course taught in second term with no lectures, 1 seminar hour, and 2 hours of lab per week.
    (either term, 3-0-0): a course taught in either first or second term, or each term, with 3 lecture hours per week, no seminar, and no lab.
    (two-term, 3-0-3): a course taught over both first and second term with three lecture hours, no seminar, and three hours lab per week.
    (variable, 3-0-0): a course which may be taught in either first or second term or over two terms with three lecture hours per week, no seminar, and no lab.
  4. Prerequisite—This provides information on courses which must be successfully completed before registering in the more advanced course.
    Corequisite—This provides information on courses which must be taken before or at the same time as the course described in the listing.
    Note: Departments are authorized to cancel the registration of those students registered in a course offered by the department if they do not meet the prerequisite and/or corequisite requirements stated in the course description in this Calendar.
  5. [Department]— This indicates the department responsible for registration for interdepartmental courses. Normally, courses will be credited to the discipline listed in the square brackets.
  6. Open Studies Courses—Courses that are available to Open Studies students are designated in Bear Tracks Course Catalog by the  symbol.  indicates that a course is available to Open Studies students on a delayed registration basis only (see Registration  for complete details).  To browse courses that have been approved for Open Studies students, see Open Studies Course Listings on the Office of the Registrar website.
Important: Registration Procedures for Two-Term Courses

Students are strongly advised to refer to the Registration and Courses menu at www.registrarsoffice.ualberta.ca for details. Two-term courses are normally offered over two terms (either Fall/Winter or Spring/Summer). In a few instances, two-term courses are offered within a single term. In all cases these are identifiable in the Class Schedule because they consist of part A and part B (e.g., English 111A and 111B).

To successfully register in a two-term course, students, must do the following:

  • Register in both the part A and part B for all types of sections offered (Lectures, Labs, Seminars, etc.);
  • Register in the same section numbers for part A and part B of a course (e.g., Lecture A1 for both part A and part B, and Lab E3 for both part A and part B);
  • Register in all the appropriate sections on the same day.

All of the above must be done or the course registration is invalid and will be deleted. Invalid registrations will be deleted nightly. It is the student’s responsibility to attempt the course registration again, subject to availability.

Example: A student wishes to register in ABCD 101, a two-term course. It has a lecture and a lab section. Based on the student’s timetable planning, decides to take Lecture C3 and Lab C8. The student must add

In Fall Term ABCD 101A Lec C3 and ABCD 101A Lab C8,
and  
In Winter Term ABCD 101B Lec C3 and ABCD 101B Lab C8.

All these sections must be added on the same day to successfully register. Otherwise the registration in ABCD 101 will be deleted overnight and the student’s place in the course will be lost.

Course Renumbering

Over the years many courses have been renumbered. Old numbers can be found within individual course listings of previous Calendar editions.

Courses on Reserve

Courses not offered in the past four years are removed from this Calendar and placed on Reserve. These courses may be taught again in the future, in which case they would be brought back into the active Course Listings and placed in the Calendar. Information about Reserve Courses is available through the Registrar’s Office, the University Secretariat, and Faculty Offices.

Faculty Specific Regulations Regarding Courses

For specific Faculty regulations relating to courses and for a complete list of subjects taught by a Faculty, please consult the Undergraduate Programs section of the Calendar at the end of each Faculty section.

Physical Requirements for University Courses

The University has a commitment to the education of all academically qualified students and special services are frequently provided on campus to assist disabled students.

Nevertheless, some courses make certain unavoidable demands on students with respect to the possession of a certain level of physical skill or ability if the academic objectives of the course are to be realized. In case of doubt, students are advised to contact the Department concerned and Student Accessibility Disability Services (SAS), Office of the Dean of Students.

Because support services cannot be guaranteed for all off-campus courses, instructors may be obliged to refuse registration in such courses.

Course Availability

The following is a comprehensive course listing of all the approved courses that the University of Alberta may offer. The appearance of a course in this list does not guarantee that the course will actually be offered. The most current information on courses is available on Bear Tracks at https://www.beartracks.ualberta.ca

Course Listings

 

Spanish: Undergraduate

Department of Modern Languages and Cultural Studies
Faculty of Arts

Notes

  1. The Department reserves the right to place students in the language course appropriate to their level of language skill.
  2. Placement tests may be administered in order to assess prior background. Students with a Spanish language background should consult a Department advisor. Such students may be granted advanced placement and directed to register in an advanced course more suitable to their level of ability. Students seeking to fulfill their Language Other than English requirement may begin at any one appropriate level, but must take the full ★6 in one language.
  3. The Department will withhold credit from students completing courses for which prior background is deemed to make them ineligible. For example, 100-level courses are normally restricted to students with little or no prior knowledge in that language. Should a student with matriculation standing, or those possessing prior background (such as native speakers or those for whom it is their first language) register in the 100-level course, credit may be withheld.
  4. All courses at the 300-level, except SPAN 330 and 360 which are taught in English, include language acquisition among other course requirements.
  5. See also listing under Modern Languages and Cultural Studies (MLCS).

  
  • SPAN 306 - Spanish for Heritage Speakers


    ★ 3 (fi 6) (either term, 4-0-0) Intended for speakers with an advanced level of oral proficiency, but no previous formal study of Spanish. Focus is on topics such as grammar and sentence structure, spelling and punctuation, interference between English and Spanish, and colloquial versus formal usages with the objective of improving skills in oral and written communication. Prerequisite: consent of Department. Note: Not to be taken by students with credit in SPAN 300.
  
  • SPAN 314 - Civilization and Culture of Spain


    ★ 3 (fi 6) (either term, 3-0-0) Through a series of selected topics, the course offers a panoramic view of Spanish civilization and culture from the Medieval Period to our present time with an overall emphasis on the construction of ‘Spanish’ cultural identities. Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 320 - Introduction to Literary Analysis


    ★ 3 (fi 6) (either term, 3-0-0) Students develop the skills required for advanced studies in Spanish and Spanish American literature through the careful study of a variety of literary texts. Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 321 - Foundational Fictions of Spanish America


    ★ 3 (fi 6) (either term, 3-0-0) Readings from selected texts to continue language acquisition and to introduce students to aspects of Spanish American literature and culture. Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 323 - Latin American Literature and the Environment


    ★ 3 (fi 6) (either term, 3-0-0) The study of the relationship of Latin American writing and writers to the environment with a focus on the landscape and current ecological concerns. Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 325 - Introduction to Cinema


    ★ 3 (fi 6) (either term, 3-0-3) Some of the major works of film of Spain and/or Spanish America. Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 326 - Hispanic Children’s Literature


    ★ 3 (fi 6) (either term, 3-0-0) Key works of children’s literature in Spain and Latin America. Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 332 - The Culture of Food


    ★ 3 (fi 6) (either term, 3-0-0) Through an examination of texts about food (cookbooks, novels, films, music, journalism, etc.) students will gain an understanding of how food serves as a locus for concerns about nationalism, ethnicity, gender, and politics in Latin America. Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 333 - Reading Popular Culture


    ★ 3 (fi 6) (either term, 3-0-0) The course will look at questions of nation, class, race and gender in Hispanic popular cultural production. Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 335 - The Spanish Caribbean


    ★ 3 (fi 6) (either term, 3-0-0) Literature and culture in Cuba, Puerto Rico and the Dominican Republic. Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 341 - The ‘Roaring Twenties’ in Transatlantic Perspective


    ★ 3 (fi 6) (either term, 3-0-0) Cultural production of Spanish America and Spain in the 1920’s. Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 370 - The Sounds of Spanish


    ★ 3 (fi 6) (either term, 3-0-0) Sound system of Spanish: phonetics, phonology, evolution of the language. Special attention to the pronunciation differences from English. Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 373 - Spanish as a World Language


    ★ 3 (fi 6) (either term, 3-0-0) Focus on the evolution of Spanish from Latin and its spread around the world. Examines the different varieties of Spanish as well as practices and attitudes regarding the use of Spanish in different regions. Prerequisite: SPAN 300 or 306 or consent of Department. Note: Not open to students with credit in SPAN 372. May be taken in place of SPAN 372 for program requirements.
  
  • SPAN 378 - Teaching Spanish as a Second Language


    ★ 3 (fi 6) (either term, 3-0-0) Approaches to language teaching, Spanish grammar pedagogy, and specific issues in teaching Spanish structures and skills. Prerequisite: SPAN 300 or 306 or consent of Department. Note: Not open to students with credit in SPAN 478. May be taken in place of SPAN 478 for program requirements.
  
  • SPAN 398 - Special Topics in Language/Linguistics


    ★ 3 (fi 6) (either term, 3-0-0) Prerequisites: SPAN 300 or 306 or consent of Department.
  
  • SPAN 399 - Special Topics in Literature/Culture


    ★ 3 (fi 6) (either term, 3-0-0) Prerequisite: SPAN 300 or 306 or consent of Department.
  
  • SPAN 405 - Exercises in Translation: Spanish into English


    ★ 3 (fi 6) (either term, 0-3s-0) Prerequisites: *3 in SPAN at the 300 level excluding 300 and 306, or consent of the Department. Note: This course can also be applied to the MLCS Certificate in Translation Studies.
  
  • SPAN 406 - Exercises in Translation: English into Spanish


    ★ 3 (fi 6) (either term, 0-3s-0) Prerequisites: *3 in SPAN at the 300 level excluding 300 and 306, or consent of the Department. Note: This course can also be applied to the MLCS Certificate in Translation Studies.
  
  • SPAN 407 - Advanced Grammar and Composition


    ★ 3 (fi 6) (either term, 0-3s-0) Focus on meanings expressed by different grammatical structures in Spanish, with reference to translation differences with English. Practice of different styles of writing. Prerequisites: *3 in SPAN at the 300 level excluding 300 and 306, or consent of the Department. Note: This course can also be applied to the MLCS Certificate in Translation Studies.
  
  • SPAN 425 - Hispanic Filmmakers


    ★ 3 (fi 6) (either term, 0-3s-3) Study of one to three different Hispanic filmmakers. Prerequisites: SPAN 320 or consent of the Department.
  
  • SPAN 426 - Creative Non-Fiction Workshop in Spanish


    ★ 3 (fi 6) (either term, 3-0-0) A writing workshop in Spanish. Students will gain exposure to evolving issues, standards, and research methodologies in professional writing. Genres may include literary journalism, memoir, travel writing, and personal essay. Prerequisite: *3 in SPAN at the 300-level excluding 300 and 306, or consent of Department.
  
  • SPAN 428 - Spanish Literary Masterpieces


    ★ 3 (fi 6) (either term, 0-3s-0) An in-depth study of the most influential works of Span. Prerequisites: SPAN 320 or consent of the Department.
  
  • SPAN 441 - Reading Colonial Culture


    ★ 3 (fi 6) (either term, 0-3s-0) Colonial Identities, power and ideology, mobilized through various forms of representation. Prerequisites: SPAN 320 or consent of the Department.
  
  • SPAN 460 - Self Portraits in Writing


    ★ 3 (fi 6) (either term, 0-3s-0) Testimonial writing, biography, and autobiography, memories, correspondence, diaries, interviews and confessions. Prerequisites: SPAN 320 or consent of Department.
  
  • SPAN 475 - Spanish in Society


    ★ 3 (fi 6) (either term, 0-3s-0) Language as a social phenomenon. Description of dialects in Spanish. Language shift, bilingualism, language attrition, code-switching and language attitudes. Prerequisites: *3 in SPAN at the 300-level excluding 300 and 306, or consent of Department.
  
  • SPAN 476 - The Acquisition of Spanish


    ★ 3 (fi 6) (either term, 0-3s-0) Issues relating to the acquisition of Spanish as a second language, education, and language policies, and language pedagogy in the literature and in practice. Prerequisites: *3 in SPAN at the 300-level excluding 300 and 306, or consent of Department.
  
  • SPAN 495 - Honors Thesis


    ★ 3 (fi 6) (either term, 0-3s-0)
  
  • SPAN 498 - Special Topics in Language/Linguistics


    ★ 3 (fi 6) (either term, 3-0-0) Prerequisites: *3 in SPAN at the 300 level excluding 300 and 306 or consent of Department
  
  • SPAN 499 - Special Topics in Literature/Culture


    ★ 3 (fi 6) (either term, 0-3s-0) Prerequisites: SPAN 320 or consent of Department

Spanish: Graduate

  
  • SPAN 505 - Exercises in Translation: Spanish to English


    ★ 3 (fi 6) (either term, 0-3s-3) Prerequisite: consent of Department.
  
  • SPAN 506 - Exercises in Translation: English to Spanish


    ★ 3 (fi 6) (either term, 0-3s-3) Prerequisite: consent of Department.
  
  • SPAN 525 - Hispanic Filmmakers


    ★ 3 (fi 6) (either term, 0-3s-3) Prerequisite: consent of Department.
  
  • SPAN 526 - Creative Non-Fiction Workshop in Spanish


    ★ 3 (fi 6) (either term, 3-0-0) A writing workshop in Spanish. Students will gain exposure to evolving issues, standards, and research methodologies in professional writing. Genres may include literary journalism, memoir, travel writing, and personal essay. Prerequisite: *3 in SPAN at the 300-level excluding 300 and 306, or consent of Department.
  
  • SPAN 528 - Spanish Literary Masterpieces


    ★ 3 (fi 6) (either term, 0-3s-0) Prerequisite: consent of Department.
  
  • SPAN 541 - Reading Colonial Culture


    ★ 3 (fi 6) (either term, 0-3s-0) Prerequisite: consent of Department.
  
  • SPAN 575 - Spanish in Society


    ★ 3 (fi 6) (either term, 0-3s-0) Prerequisite: consent of Department.
  
  • SPAN 599 - Directed Reading


    ★ 3 (fi 6) (either term, 0-3s-0) Prerequisite: consent of Department.
  
  • SPAN 699 - Topics in Spanish Literature and Culture


    ★ 3 (fi 6) (either term, 0-3s-0) Prerequisite: consent of Department.

Statistics: Undergraduate

Department of Mathematical and Statistical Sciences
Faculty of Science

Note: Statistical software packages will normally be used in courses that contain data analysis.

  
  • STAT 151 - Introduction to Applied Statistics I


    ★ 3 (fi 6) (either term, 3-0-0) Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions and the central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis. Goodness of fit and contingency table. Prerequisite: Mathematics 30-1 or 30-2. Note : This course may not be taken for credit if credit has been obtained in any STAT course, or in PEDS 109, PSYCO 211, SCI 151 or SOC 210.
  
  • STAT 161 - Introductory Statistics for Business and Economics


    ★ 3 (fi 6) (either term, 3-0-0) Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions and the central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis. Goodness of fit and contingency table. Use of a microcomputer software package for statistical analyses in business and economics. Prerequisite: Mathematics 30-1 or 30-2. This course may not be taken for credit if credit has been obtained in any STAT course, or in PEDS 109, PSYCO 211, SCI 151 or SOC 210.
  
  • STAT 235 - Introductory Statistics for Engineering


    ★ 3.8 (fi 6) (either term or Spring/Summer, 3-0-1.5) Descriptive data analysis. Calculus of Probability. Binomial, multinomial, Poisson, normal, beta, exponential, gamma, hypergeometric, and Weibull distributions. Sampling distributions. Estimation, testing hypotheses, goodness-of-fit tests, and one-way analysis of variance. Linear correlation and regression. Sampling. Quality control. Use of a microcomputer software package for statistical analyses in engineering applications. Prerequisite: MATH 100. Corequisite: MATH 101. Credit may not be obtained in STAT 235 if credit has already been obtained in STAT 141, 151, 222, 265, 266; PSYCO 211, SCI 151 or SOC 210. Intended for Engineering students. Other students who take this course will receive *3.0.
  
  • STAT 252 - Introduction to Applied Statistics II


    ★ 3 (fi 6) (either term, 3-0-2) Methods in applied statistics including regression techniques, analysis of variance and covariance, and methods of data analysis. Applications are taken from Biological, Physical and Social Sciences, and Business. Prerequisite: One of STAT 141, 151, 235 or SCI 151. Notes: (1) Credit can be obtained in at most one of STAT 252, 319, 337 or 341. (2) This course may not be taken for credit if credit has already been obtained in STAT 368 or 378.
  
  • STAT 265 - Statistics I


    ★ 3 (fi 6) (first term, 3-0-0) Sample space, events, combinatorial probability, conditional probability, independent events, Bayes Theorem, random variables, discrete random variables, expected values, moment generating function, inequalities, continuous distributions, multivariate distributions, independence. Corequisite: One of MATH 209, 214 or 217.
  
  • STAT 266 - Statistics II


    ★ 3 (fi 6) (second term, 3-0-0) Functions of random variables, sampling distributions, Central Limit Theorem, law of large numbers, statistical models for the data, likelihood, parameters and their interpretation, objectives of statistical inference, point and interval estimation, method of moments, basic notions of testing of hypotheses, errors of the first and second kind, significance level, power, pvalue. Prerequisite: STAT 265. Corequisites: One of MATH 225 or 227, and one of MATH 215 or 317.
  
  • STAT 337 - Biostatistics


    ★ 3 (fi 6) (first term, 3-0-2) Methods of data analysis useful in Biostatistics including analysis of variance and covariance and nested designs, multiple regression, logistic regression and log-linear models. The concepts will be motivated by problems in the life sciences. Applications to real data will be emphasized through the use of a computer package. Prerequisite: STAT 151 or SCI 151 and a 200-level Biological Science course. Note: This course may not be taken for credit if credit has already been obtained in STAT 252, 368 or 378.
  
  • STAT 353 - Life Contingencies I


    ★ 3 (fi 6) (either term, 3-0-0) Time at death random variables, continuous and discrete insurances, endowments and varying annuities, net premiums and reserves. Prerequisites: MATH 253 and STAT 265. Corequisite: MATH 215 or 317.
  
  • STAT 361 - Sampling Techniques


    ★ 3 (fi 6) (either term, 3-0-0) Simple random sampling from finite populations, stratified sampling, regression estimators, cluster sampling. Prerequisite: STAT 266, or STAT 235 with consent of the Department. Note: This course may only be offered in alternate years.
  
  • STAT 368 - Introduction to Design and Analysis of Experiments


    ★ 3 (fi 6) (either term, 3-0-0) Basic principles of experimental design, completely randomized design-one way ANOVA and ANCOVA, randomized block design, Latin square design, Multiple comparisons. Nested designs. Factorial experiments. Prerequisite: STAT 266, or STAT 235 with consent of the Department.
  
  • STAT 371 - Probability and Stochastic Processes


    ★ 3 (fi 6) (either term, 3-0-0) Problem solving of classical probability questions, random walk, gambler’s ruin, Markov chains, branching processes. Selected topics of the instructor’s choice. Prerequisite: STAT 265.
  
  • STAT 372 - Mathematical Statistics


    ★ 3 (fi 6) (either term, 3-0-0) Laws of large numbers, weak convergence, some asymptotic results, delta method, maximum likelihood estimation, testing, UMP tests, LR tests, nonparametric methods (sign test, rank test), robustness, statistics and their sensitivity properties, prior and posterior distributions, Bayesian inference, conjugate priors, Bayes estimators. Prerequisite: STAT 266.
  
  • STAT 378 - Applied Regression Analysis


    ★ 3 (fi 6) (either term, 3-0-0) Simple linear regression analysis, inference on regression parameters, residual analysis, prediction intervals, weighted least squares. Multiple regression analysis, inference about regression parameters, multicollinearity and its effects, indicator variables, selection of independent variables. Non-linear regression. Prerequisite: STAT 266, or STAT 235 with consent of the Department.
  
  • STAT 413 - Introduction to Computing for Data Science


    ★ 3 (fi 6) (second term, 3-0-0) Survey of contemporary languages/environments suitable for algorithms of Statistics and Data Science. Introduction to Monte Carlo methods, random number generation and numerical integration in statistical context and optimization for both smooth and constrained alternatives, tailored to specific applications in statistics and machine learning. Prerequisites: STAT 265 or consent of the instructor.
  
  • STAT 432 - Survival Analysis


    ★ 3 (fi 6) (either term, 3-0-0) Survival models, model estimation from complete and incomplete data samples, parametric survival models with concomitant variables, estimation of life tables from general population data. Prerequisites: STAT 372 and 378.
  
  • STAT 437 - Statistical Methods for Applied Research I


    ★ 3 (fi 6) (either term, 3-0-0) Methods of data analysis useful in applied research, including repeated measures and longitudinal data analysis, non-linear regression, survival analysis, multivariate techniques. Applications to real data will be emphasized, including case studies and real data applications. Each researcher works on a project to present, highlighting the methods used in the project. Prerequisite: STAT 252 or 337 or consent of the instructor.
  
  • STAT 441 - Statistical Methods for Learning and Data Mining


    ★ 3 (fi 6) (either term, 3-0-0) Review of linear and nonlinear regression and brief introduction to generalized linear models, the course covers selected methods of dimension reduction (principal components, factor analysis, canonical correlations), of unsupervised (clustering, multidimensional scaling ordination) and supervised classification (discriminant analysis, logistic regression, nearest neighbours - including, among others, the machine learning methods like classification trees, neural networks, and support vector machines). Prerequisite: STAT 378.
  
  • STAT 453 - Risk Theory


    ★ 3 (fi 6) (either term, 3-0-0) Classical ruin theory, individual risk models, collective risk models, models for loss severity: parametric models, tail behavior, models for loss frequency, mixed Poisson models; compound Poisson models, convolutions and recursive methods, probability and moment generating functions. Prerequisite: STAT 371.
  
  • STAT 471 - Probability I


    ★ 3 (fi 6) (either term, 3-0-0) Probability spaces, algebra of events. Elements of combinatorial analysis. Conditional probability, stochastic independence. Special discrete and continuous distributions. Random variables, moments, transformations. Basic limit theorems. Prerequisite: STAT 371.
  
  • STAT 479 - Time Series Analysis


    ★ 3 (fi 6) (either term, 3-0-0) Stationary series, spectral analysis, models in time series: autoregressive, moving average, ARMA and ARIMA. Smoothing series, computational techniques and computer packages for time series. Prerequisites: STAT 372 and 378. Note: This course may only be offered in alternate years.
  
  • STAT 497 - Reading in Statistics


    ★ 3 (fi 6) (either term, 3-0-0) This course is designed to give credit to mature and able students for reading in areas not covered by courses, under the supervision of a staff member. A student, or group of students, wishing to use this course should find a staff member willing to supervise the proposed reading program. A detailed description of the material to be covered should be submitted to the Chair of the Department Honors Committee. (This should include a description of testing methods to be used.) The program will require the approval of both the Honors Committee, and the Chair of the Department. The students’ mastery of the material of the course will be tested by a written or oral examination. This course may be taken in Fall or Winter and may be taken any number of times, subject always to the approval mentioned above. Prerequisite: Any 300-level STAT course.
  
  • STAT 499 - Research Project


    ★ 3 (fi 6) (either term, 0-1s-6) This course provides students in Specialization and Honors programs an opportunity to pursue research in statistics under the direction of a member of the Department. Course requirements include at least one oral presentation and a written final report. Students interested in taking this course should contact the course coordinator two months in advance. Credit for this course may be obtained more than once. Prerequisites: a 300-level STAT course and consent of the course coordinator.

Statistics: Graduate

  
  • STAT 501 - Directed Study I


    ★ 3 (fi 6) (either term, 3-0-0) Basic principles of experimental design, completely randomized design-one way ANOVA and ANCOVA. Randomized block design. Latin square design, Multiple comparisons. Nested designs. Factorial experiments. Each student will give a written report and seminar presentation highlighting statistical methods used in a research project. Prerequisites: STAT 252 or 337 or equivalent and a course in linear algebra. Note: Cannot be used for credit towards a graduate program in Statistics.
  
  • STAT 502 - Directed Study II


    ★ 3 (fi 6) (either term, 3-0-0) Simple linear regression analysis, inference on regression parameters, residual analysis, prediction intervals, weighted least squares. Multiple regression analysis, inference about regression parameters, multicollinearity and its effects, indicator variables, selection of independent variables. Non-linear regression. Each student will give a written report and seminar presentation highlighting statistical methods used in a research project. Prerequisite: STAT 337 or equivalent and a course in linear algebra. Note: Cannot be used for credit towards a graduate program in Statistics.
  
  • STAT 503 - Directed Study III


    ★ 3 (fi 6) (either term, 3-0-0) Theory and applications of time series modelling, stationarity, autocorrelation. Spectral properties, filtering. Box-Jenkins models, seasonality. Each student will give a written report and seminar presentation highlighting statistical methods used in a research project. Prerequisite: STAT 372 and 378 or consent of Instructor.
  
  • STAT 504 - Directed Study IV


    ★ 3 (fi 6) (either term, 3-0-0) Basic sampling schemes for finite populations: simple random sampling, stratified random sampling, systematic sampling and cluster sampling. Unequal probability sampling. Ratio and regression estimators. Prerequisite: A course in Statistical Inference at the 300 level or permission from the instructor. Note: Cannot be used for credit towards a graduate program in Statistics.
  
  • STAT 505 - Directed Study V


    ★ 3 (fi 6) (either term, 3-0-0) Principles of statistical model building and analysis applied in linear and generalized linear models and illustrated through multivariate methods such as repeated measures, principal components, and supervised and unsupervised classification. Each student will give a written report and seminar presentation highlighting statistical methods used in a research project. Prerequisites: STAT 501, 502 or equivalent. Note: Cannot be used for credit towards a thesis-based graduate program in Statistics.
  
  • STAT 512 - Techniques of Mathematics for Statistics


    ★ 3 (fi 6) (either term, 3-0-0) Introduction to mathematical techniques commonly used in theoretical Statistics, with applications. Applications of diagonalization results for real symmetric matrices, and of continuity, differentiation, Riemann-Stieltjes integration and multivariable calculus to the theory of Statistics including least squares estimation, generating functions, distribution theory. Prerequisite: consent of Department.
  
  • STAT 513 - Statistical Computing


    ★ 3 (fi 6) (either term, 3-0-0) Introduction to contemporary computational culture: reproducible coding, literate programming. Monte Carlo methods: random number generation, variance reduction, numerical integration, statistical simulations. Optimization (linear search, gradient descent, Newton-Raphson, method of scoring, and their specifics in the statistical context), EM algorithm. Fundamentals of convex optimization with constraints. Prerequisites: consent of the instructor.
  
  • STAT 532 - Survival Analysis


    ★ 3 (fi 6) (either term, 3-0-0) Survival and hazard functions, censoring, truncation. Non-parametric, parametric and semi-parametric approaches to survival analysis including Kaplan-Meier estimation and Cox’s proportional hazards model. Prerequisite: STAT 372 or consent of Department.
  
  • STAT 537 - Statistical Methods for Applied Research II


    ★ 3 (fi 6) (either term, 3-0-0) Review of basic statistical concepts of inference and probability theory. Includes applied methods of Linear and non-linear regression and analysis of variance for designed experiments, multiple comparisons, correlations, modeling and variable selection, multicolinearity, predictions, confounding and Simpson’s paradox. Includes case studies and real data applications. Each researcher works on a project to present, highlighting the methods used in the project. Prerequisite: STAT 437 equivalent or consent of the instructor. Cannot be used for credit towards a graduate program in Statistics.
  
  • STAT 541 - Statistics for Learning


    ★ 3 (fi 6) (either term, 3-0-0) The course focuses on statistical learning techniques, in particular those of supervised classification, both from statistical (logistic regression, discriminant analysis, nearest neighbours, and others) and “machine learning” background (tree-based methods, neural networks, support vector machines), with the emphasis on decision-theoretic underpinnings and other statistical aspects, flexible model building (regularization with penalties), and algorithmic solutions. Selected methods of unsupervised classification (clustering) and some related regression methods are covered as well. Prerequisite: Consent of the instructor.
  
  • STAT 553 - Risk Theory


    ★ 3 (fi 6) (either term, 3-0-0) Classical ruin theory, individual risk models, collective risk models, models for loss severity: parametric models, tail behavior, models for loss frequency, mixed Poisson models; compound Poisson models, convolutions and recursive methods, probability and moment generating functions. Prerequisite: STAT 371 or equivalent. Note: Cannot be used for credit towards a thesis-based graduate program in the Department of Mathematical and Statistical Sciences.
  
  • STAT 561 - Sample Survey Methodology


    ★ 3 (fi 6) (either term, 3-0-0) Review of basic sampling schemes: simple random sampling, and stratified random sampling, and systematic sampling. Multistage sampling schemes. Estimation of nonlinear parameters: ratios, regression coefficients, and correlation coefficients. Variance estimation techniques: linearization, BRR, jackknife, and bootstrap. Selected topics: model-based estimation, regression analysis from complex survey data. Relevant computer packages. Prerequisites: STAT 361, 372, 471.
  
  • STAT 562 - Discrete Data Analysis


    ★ 3 (fi 6) (either term, 3-0-0) Sampling models and methods of inference for discrete data. Maximum likelihood estimation for complete contingency tables, measures of association and agreement. Goodness-of-fit. Incomplete tables. Analysis of square tables; symmetry and marginal homogeneity. Model selection and closeness of fit; practical aspects. Chi-square tests for categorical data from complex surveys. Prerequisite: STAT 372 or 471.
  
  • STAT 566 - Methods of Statistical Inference


    ★ 3 (fi 6) (either term, 3-0-0) An introduction to the theory of statistical inference. Topics to include exponential families and general linear models, likelihood, sufficiency, ancillarity, interval and point estimation, asymptotic approximations. Optional topics as time allows, may include Bayesian methods, Robustness, resampling techniques. This course is intended primarily for MSc students. Prerequisite: STAT 471 or consent of Department.
  
  • STAT 568 - Design and Analysis of Experiments


    ★ 3 (fi 6) (either term, 3-0-0) The general linear model. Fully randomized designs, one-way layout, multiple comparisons. Block designs, Latin squares. Factorial designs confounding, fractions. Nested designs, randomization restrictions. Response surface methodology. Analysis of covariance. Prerequisite: STAT 368 and a 400-level STAT course.
  
  • STAT 571 - Probability and Measure


    ★ 3 (fi 6) (either term, 3-0-0) Measure and integration, Laws of Large Numbers, convergence of probability measures. Conditional expectation as time permits. Prerequisites: STAT 471 and STAT 512 or their equivalents.
  
  • STAT 575 - Multivariate Analysis


    ★ 3 (fi 6) (either term, 3-0-0) The multivariate normal distribution, multivariate regression and analysis of variance, classification, canonical correlation, principal components, factor analysis. Prerequisite: STAT 372 and STAT 512.
  
  • STAT 578 - Regression Analysis


    ★ 3 (fi 6) (either term, 3-0-0) Multiple linear regression, ordinary and generalized least squares, partial and multiple correlation. Regression diagnostics, collinearity, model building. Nonlinear regression. Selected topics: robust and nonparametric regression, measurement error models. Prerequisites: STAT 378 and a 400-level statistics course.
  
  • STAT 580 - Stochastic Processes


    ★ 3 (fi 6) (either term, 3-0-0) Elements of stochastic processes. Discrete and continuous time Markov Chains; Birth and Death processes. Branching processes. Brownian Motion. General Stationary and Markov processes. Examples. Prerequisite: STAT 471 or consent of Instructor.
  
  • STAT 590 - Statistical Consulting


    ★ 3 (fi 6) (either term, 3-0-0) Data analysis, problem solving, oral communication with clients, issues in planning experiments and collecting data; practical aspects of consulting and report writing. Corequisite: STAT 568 and 578 or their equivalents.
  
  • STAT 600 - Reading in Statistics


    ★ 3 (fi 6) (either term, 3-0-0) Students will be supervised by an individual staff member to participate in areas of research interest of that staff member. Students can register only with the permission of the Chair of the Department in special circumstances. Will not be counted toward the minimum course requirement for graduate credits.
  
  • STAT 637 - Statistical Methods for Applied Research III


    ★ 3 (fi 6) (either term, 3-0-0) Advanced statistical design and methods. Topics include sampling, multivariate techniques, survival analysis, power and sample size, linear and non linear regression, longitudinal and repeated measures data, and analysis of seasonal or time series data. Topics to be covered can be influenced by the registered researchers. Includes critical review and case studies with real data applications. Each researcher works on a project to present, highlighting the methods used in the project. Prerequisite: STAT 537 or equivalent or consent of the instructor. Cannot be used for credit towards a graduate program in Statistics.
  
  • STAT 664 - Advanced Statistical Inference


    ★ 3 (fi 6) (either term, 3-0-0) Modern methods of statistical inference. Various versions of likelihood: conditional, marginal, integrated, profile, partial, empirical. Estimating equations. Semi-parametric models. Foundational issues. Prerequisites: STAT 512 and 566.
  
  • STAT 665 - Asymptotic Methods in Statistical Inference


    ★ 3 (fi 6) (either term, 3-0-0) Approximation techniques and asymptotic methods in statistics. Topics may include second and higher order expansions, asymptotics of likelihood based estimation and testing. Edgeworth expansions, exponential tilting, asymptotic relative efficiency, U-, M-, L-, and R-estimation. Prerequisites: STAT 566 or 664 and 512 or the equivalent.
  
  • STAT 900 - Directed Research Project


    ★ 6 (fi 12) (variable, unassigned) Open only to students taking the MSc non-thesis option in statistics.
  
  • STAT 901 - Practicum in Statistics I


    ★ 1.5 (fi 3) (either term, unassigned) Open only to students taking the MSc non-thesis option in Statistics.
  
  • STAT 902 - Practicum in Statistics II


    ★ 1.5 (fi 3) (either term, unassigned) Open only to students taking the MSc non-thesis option in Statistics.

Statistique: Cours de 1er cycle

Faculté Saint-Jean

  
  • STATQ 151 - Introduction à la statistique appliquée I


    ★ 3 (fi 6) (l’un ou l’autre semestre, 3-0-0) Collecte de données et leur présentation, statistiques descriptives. Loi de probabilité, distribution d’échantillonnage et théorème limite central, estimation ponctuelle et tests d’hypothèses. Corrélation et régression linéaire simple. Mesure d’ajustement et tableaux de contingences. Préalable: Mathématiques 30-1. Note: Ce cours n’est pas accessible aux étudiants ayant ou postulant des crédits pour un cours de STAT, KIN 109, PSYCO 211, SCSOC 322, SOC 210, ou SCI 151.

Strategic Management and Organization: Undergraduate

Department of Strategic Management and Organization
Faculty of Business

  
  • SMO 200 - Introduction to Management for Non-Business Students


    ★ 3 (fi 6) (either term, 3-0-0) Provides an understanding of the behavior of individuals and groups within the context of the business organization. Topics covered include organizational structure, culture, individual differences, personality, motivation, leadership, groups, decision making, power, politics, conflict, careers, stress, and organizational change. Not to be taken by students with credit in SMO 101, 201, 301 or 310. Not for credit in the Bachelor of Commerce program.
  
  • SMO 301 - Behavior in Organizations


    ★ 3 (fi 6) (either term, 3-0-0) Provides an understanding of the behavior of individuals in organizations. Draws from psychology, sociology, organization theory and covers topics such as personality, motivation, leadership, communication, conflict, and group dynamics. Prerequisite: Not open to students in the Faculty of Business. Open only to students from other faculties where the course is a requirement. Not to be taken by students with credit in SMO 200, 201 or 310.
  
  • SMO 310 - Introduction to Strategic Management, Organization and Entrepreneurship


    ★ 3 (fi 6) (either term, 3-0-0) Introduces students to the fundamentals of strategic management, including human resource management and strategy; organizational theory and entrepreneurship/innovation. Topics include: motivating employees, designing jobs, staffing, ethics and decision making, leadership and managing teams; developing and implementing an organization’s strategy, structure, control systems, and change initiatives; and identifying and evaluating opportunities, launching and growing a business, establishing networks and legitimacy. Open only to students in the Faculty of Business. Not to be taken by students with credit in SMO 200 or 301.
  
  • SMO 311 - HRM: Managing the Work Force in Canada


    ★ 3 (fi 6) (either term, 3-0-0) This course is a general overview of human resource management issues in organizations. It focuses on reward systems, the design of work, legal issues, union-management relationships, staffing, and training and development. Prerequisite: SMO 201, 301 or 310. Open to third- and fourth-year students.
  
  • SMO 321 - Introduction to Strategic Management and Organization Design


    ★ 3 (fi 6) (either term, 3-0-0) Explores why organizations such as McDonalds, Northern Telecom, Bennetton, Wal-Mart and the University of Alberta use different patterns of organization. Examines the political and behavioral dynamics of management decision making. Prerequisite: SMO 201, 301 or 310. Open to third- and fourth-year students.
  
  • SMO 322 - Theory of Organizational Behaviour


    ★ 3 (fi 6) (either term, 3-0-0) Students who have taken introductory courses in the area will study in greater depth and detail theories of how people work in organizations. These include theories of motivation, leadership, communication, decision making, groups, conflict, change, and others selected by the instructor to cover new ways of thinking about people and organizations. Lecture, case study, and group work will normally be used. Prerequisite: SMO 201, 301 or 310.
  
  • SMO 330 - Introduction to Entrepreneurship


    ★ 3 (fi 6) (either term, 3-0-0) This is an interdisciplinary course for students interested in developing an idea for a new product or service into a market reality and an investable story. This course is about developing the analytical and conceptual skills required to assess the potential for a new venture. Working on a team composed of students from across different faculties, students will generate an idea, use business modeling techniques to “flesh out” that idea and define a venture opportunity, move through the customer research and development process in order to assess how to improve their new venture concept, and “pitch” their idea. Topics covered in this course will include: idea generation, business-model development, market definition, customer discovery, competitive analysis, and resource development. Open to students in any Faculty with the consent of the Department. Not open to students in first year.
  
  • SMO 402 - Management Skills for Supervisors and Leaders


    ★ 3 (fi 6) (either term, 3-0-0) The purpose of this course is to increase understanding of leadership roles and skill in exercising those roles. These include team building, mentoring, managing conflict, delegating, managing participative decision making, creative problem solving, and time and stress management. Prerequisite: SMO 201, 301 or 310. Open to third- and fourth-year students.
  
  • SMO 404 - Interpersonal Communication and Team Management


    ★ 3 (fi 6) (either term, 3-0-0) This course provides an understanding of interpersonal (or face-to-face) communication process and presents opportunities for personal skill development. Students should expect to engage in role play and to receive feedback on their personal style of communication. Topics include team communication, supervisory-subordinate relationships, influence and persuasion, conflict management, and performance appraisal. Prerequisite: SMO 201, 301 or 310. Open to third- and fourth-year students.
  
  • SMO 405 - Gender Issues in Organizations


    ★ 3 (fi 6) (either term, 3-0-0) This course examines the ways in which gender, personal characteristics and organizational practices interact in influencing women’s and men’s experiences in work settings. Among the issues discussed are gender differences in career motivation and commitment, leadership skills and ability, and conflicts between professional and personal responsibilities. Prerequisite: SMO 201, 301 or 310. Open to third- and fourth-year students.
  
  • SMO 406 - Ethical Issues in Business


    ★ 3 (fi 6) (either term, 3-0-0) This course assists students in developing and refining their personal ethical frameworks by examining issues commonly facing members of business and government organizations. A wide range of issues will be explored including discrimination, product and worker safety, environmental impacts, insider trading, and employee privacy and rights. Prerequisite: SMO 201, 301 or 310. Open to third- and fourth-year students.
  
  • SMO 407 - Effective Team Management


    ★ 3 (fi 6) (either term, 3-0-0) Modern organizations are increasingly seeing their ability to succeed as tied to their ability to better utilize human potential for innovation and creativity, primarily through the increased use of teams and small groups. Teamwork skills are required with increasing frequency, and the ability to build high performing teams is a key management competency. This includes work teams, project teams, and virtual teams. This course will focus on the factors required to transform a group of people into a high performing team. The course will integrate theory and practical skills. Students will learn how to identify healthy and unhealthy team dynamics, and explore team development activities and interventions to improve team performance. Course topics will include: effective team communication, team building, leadership and social influence, decision making processes in teams, conflict management, motivating and teams, virtual teams, and group processes. Students will be encouraged to demonstrate practical skills as well as academic learning. Students should be prepared to contribute to role plays, case studies, class presentations, virtual group experiences, and personal style assessments. Prerequisite: SMO 201, 301 or 310.
 

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