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Building on the concepts of Integrated Experiential Learning (SSRV 1132), students will focus on additional human service sectors.

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...

This course will introduce students to the role that social work and allied professions play in the ameliorating of the social welfare conditions that affect people and communities. Through course assignments, students will be able to relate the contexts of their own experience to the social...

While learning about the practice of social work students in this course will have the opportunity to explore a variety of areas of practice within the Canadian context. They will explore the role of a social worker and develop an appreciation of how a helping professional can affect people's lives...

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...

Probability and statistics play a big role in everyday life and in the business world. In this introductory course, students learn data collection, analysis, presentation of data, probability, sampling distributions, estimation of parameters, hypothesis testing, regression, and tests for categorical...

An introductory course in statistics developed through the concept of randomness for students in social sciences, nursing, social work, physiotherapy, business, etc. Topics will include sampling, experimental design, levels of measurement, descriptive statistics, regression, sampling distributions...

A first course in probability and statistics including introduction to probability, descriptive statistics, regression, correlation, contingency tables, sampling distributions, estimation, hypothesis testing. This course may be followed by STAT 2225 or 2281.Students will receive college credit for...

This is an online course in which students who have already learned statistics can now learn to use Excel to carry out the usual first-term statistical graphs, calculations, and analysis.Prerequisite(s): A minimum "C-" grade in STAT 1123, 1124, or 1181; or permission of department. Prerequisites are...

This continuation of STAT 1181 for students who want a deeper treatment of the techniques and theory of data analysis. A brief review of probability and elementary inference will be followed by two-sample inferences, regression and correlation, multiple regression, design considerations, analysis of...