An inquiry into contemporary and historical concepts, assumptions, and expressions of gender, and their political, personal, cultural, and social implications.

The structure and function of the family system, historically and cross-culturally will be explored in this course. The family system in contemporary societies emphasizing its institutional characteristics and current trends will be a focus.

An introduction to the study of structured social inequalities and poverty, major theoretical approaches, and findings from key empirical studies, with emphasis on Canada.

This is an introduction to the study and analysis of crime from a sociological perspective. The course attempts to answer a number of questions. How much crime is there in Canada? Who are the criminals and what are they like? Why do people engage in criminal behaviour? What are we doing to stop or at least reduce crime in our society?

A study of the politics and social ramifications of conformity, deviance, and their relation to social change. The course examines how and why some behaviour patterns are defined as deviant or conformist, and factors that influence this. Many types of behaviour will be discussed.

Analysis of the social construction of social problems, focusing on selected structural and behavioural problems such as inequality, substance abuse, family violence, pornography, mental and physical handicaps. Personal and societal responses and intervention attempts will be explored.

A study of development and structure of Canadian society, including such topics as French-English relations, multiculturalism, regionalism, nationalism, native rights and social inequality and conflict.

This course examines the theory, methods, and substance of sociology. How societies and individuals are shaped and modified by culture, socialization, deviance, stratification, group processes, industrialization and social movements will be covered.

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 Science and Business.

The course includes 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.