Sessional Lecturer-Mhi2019H Information Systems, Services And Design

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CUPE Local 3902 (Unit 3) Job Posting
Posting Date: August 30, 2023
Program: Master of Health Informatics (MHI)
Sessional Dates of Appointment: Winter 2024, January to April
Course Title: MHI2019 - Information Systems, Services and Design
Course Description
Information systems permeate seemingly all aspects of both work and play. One of the greatest drawbacks in the use of such technologies, however, is poor technological literacy among system owners and users alike: a tendency to unbridled enthusiasm for what information systems can do, but without concomitant reflection on their limitations, and critical implications of how they are designed and why they are used.
This course will orient students to fundamental perspectives necessary for sound technical judgement about the place of information and communication technologies in contemporary society. A balance of theory and practical perspectives is sought. On the theoretical side, three interrelated themes are developed: the structure of information systems, the design of information systems, and the social implications of information systems. The practical side is developed through assignments (data modelling, information systems assessment, and systems development planning).
Objectives
Students will develop an understanding of how information systems work, to be able to appreciate their capabilities and limitations. At the end of the course, students will be able to:
Theoretical Objectives

• Understand the function and structure of networks and databases.
• Articulate the challenges and limitations of electronic support of group activities.
• Know the origins and evolution of IS.
• Appreciate multiple ethical issues in the deployment of IS, both in and out of workplaces.
• Discuss how to measure IS quality.

Practical Objectives

• Demonstrate an ability to author a Request for Proposals document.
• Participate meaningfully in the planning process for an IS design and implementation.
• Demonstrate data modelling skills in constructing entity-relationship diagrams and data flow diagrams.
• Describe how to systematically evaluate an existing information system.

Estimated TA support: based on enrolment - None
Qualifications

• Comfortable with electronic teaching tools such as Learning Management Systems (e.g., Quercus), PowerPoint, as well as on-line collaboration tools (Blogs, Wikkis, Discussion Boards, Webinars, or Video-conferencing).
• Prior experience in curriculum development and adult teaching-learning methods;
• A robust understanding of health informatics and information technology, big data analyses;
• Past teaching experience related to health informatics, preferably at the graduate level;
• An extensive knowledge of eHealth landscape in Canada;
• A PhD or equivalent level of education with extensive experience in health information systems analysis and design, and data modeling;

Duties

• Must be accessible to students outside of classroom hours.
• Course instructor for a professional graduate course using competency-based learning and assessment methods.

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.
It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.
Please Note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Diversity Statement
The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP .
Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please contact [email protected] .