This course is designed to appraise the policy and organizational context of human service organizations and management and to explore major theories and perspectives on organizational analysis and management practice. Students will be able to develop creative and appropriate responses to organizational and management situations in relation to different social work settings.

This course helps students to understand and appreciate similarities and diversities of human behaviour from a diversity and anti-oppression perspective, particularly with respect to social and cultural differences, and the challenges and strengths of young people in the local context.

This course critically examines current theories in working with people and their families facing psychiatric disabilities and provides opportunities to build on existing social work experiences in order to develop a more integrated model for practice. Students will be enabled to understand the current development and research in mental health and to examine their implications for social work practice in Hong Kong.

This course focuses on introducing to the students the diverse and yet inter-related narrative approaches to working with young people and their families at different settings, as well as the basic philosophy, concepts, and therapeutic conversations.

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This course covers the basic concepts, approaches and methods in social sciences using linear modeling methods. The course is comprised of seminar and lab sessions. Each class will start with a seminar with the instructor to discuss related concepts and students will be required to participate in discussion. Then, the class will move into the lab session when students are either required to present their own research ideas or practice statistical skills using the software SPSS. Students will have to complete weekly lab assignments. Final paper involves the generation of a publishable manuscript based on students’ research area of interests. In the first part of the course, student will learn how to construct their own conceptual model and specify hypotheses based on existing theories and literatures. In the second part of the course, students will identify a secondary data set related to their conceptual models and learn about data management skills. In the third part, students will learn about the concepts and lab skills of bivariate analysis. The fourth part of the course covers introductory concepts and lab skills of multiple regression. Last, students will have the opportunity to learn about manuscript writing and consult the instructors regarding their paper.