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Students examine gaming from a sociological perspective, exploring how games are situated within a larger cultural context. Students examine gaming through sports, board games, and video games using various perspectives like race, gender, and classic ludic theory. Students analyse real world gaming...

Urban sociologists study the impacts and consequences of urbanization on individuals, groups, and the environment. The goal of this course is to introduce students to the study of contemporary urban environments from a sociological perspective. Students acquire the foundational knowledge, research...

Sociology provides tools to understand our own lives and society, as well as distant ones. Students are introduced to models and concepts sociologists use to think about society in terms of its maintenance and construction through everyday social interactions. Subjects that may be explored include...

Formerly SSRV 1231This is a continuation of the five hours per week practicum placement. Drawing upon the knowledge and training gained in previous courses, students continue to work under the supervision of an agency field supervisor in order to identify the needs of particular client populations...

After the completion of the social service worker core curriculum, students integrate and apply the knowledge, values, and skills they gained in the program during a five-week, full-time block placement in a social service agency setting. The practicum provides students with the opportunity to work...

Our next generation lives in a data-driven society and needs to be equipped with the knowledge and skills to keep up with the rapidly evolving digital world. In this hands-on introductory course, students learn about and practice data ethics, data wrangling, data classification, regression...

Topics in this course include one and two sample statistical inference; Simple Regression; Multiple Regression; Chi-Square Test for Association, and Decision Theory. Students will learn to use software to carry out the data analysis taught in this course. Students will receive college credit for...

Students learn how to use statistical methods for analyzing data from the biological and health sciences. The programming language R and R Commander is used for statistical computing including data manipulation, data analysis and graphical display of data. Topics covered in this course include...

This course includes the following: collection, classification, analysis, and presentation of numerical data; measures of location and variability; probability; random samples and sampling distributions; estimation of parameters; testing hypotheses; regression; and index numbers.Students may receive...

Topics in this course include one and two population statistical inference; simple linear regression; multiple regression; index numbers and time series analysis; statistical decision theory; and linear programming. This course is intended primarily for students in a college business administration...