Health Management and Policy 669

This course covers relational database theory and database-web systems with applications to health care.  The students are expected to develop a working knowledge of design, implementation, administration and maintenance of small to medium relational database systems.  The students will also be exposed to current technology for deployment, use and administration of relational databases through the Internet.

Social Work 634

This course will examine the strengths and limitations of the U.S. health care system, including health indicators and the state of health care delivery in the United States, with selective international comparisons. The role of the public and private sectors in health care and health policy will be presented, with special attention to the financing of health care and the role of the government in health care. The course will focus on the organization of services (i.e., public health, prevention/ promotion services, primary care, acute care, chronic care, and long-term care).

School of Information 624

Step into the role of a data consultant and use data to facilitate change in healthcare research, quality improvement and patient outcomes, and population health. Data consultants act as the bridge between the leadership and project stakeholders, and the data analysts to help in translating the data into actionable results. Their expertise lies in effective communication, scoping of projects, and needs assessment. They examine data, processes and technologies to evaluate current state and critical problems.

Accounting 471

This course covers both financial and managerial accounting with an emphasis on an external or a user perspective of accounting. The course is designed for students who seek to gain an understanding of how accounting information is used by organizations (businesses and nonprofit organizations) and by investors.

Health Management and Policy 663

Survey course using cost-effectiveness tools to inform decisions about improving health. Analytical tools such as cost benefit analysis, decision analysis, and sensitivity analysis are utilized. Students will learn theoretical justifications for these tools as well as their limitations.

Pharmacy 617

This half- term course will provide students with the opportunity to further develop their leadership skills and learn how to lead change within the pharmacy profession post-graduation. 

Marketing 310

Nearly $1 trillion is spent every year on the selling function. Every senior management team must deliver its revenue and profit numbers. As customer loyalties diminish and marketing channels proliferate, sales - once seen as a tactical adjunct to marketing - has increased its role to become the key interaction between company and customer. Today sales professionals must expand their perspective to see their role in an enterprise-wide, cross functional context.

Biostatistics 605

This course is designed for individuals with a strong quantitative background that are interested in the scientific, policy, design and management aspects of clinical trials.  Topics include types of clinical research, bias and random error, study design, ethics treatment allocation, randomization and stratification, quality control, power and sample size, group sequential monitoring, cross-over designs and meta-analysis.

Learning Health Sciences 610

Real health data is complex, often unstructured, at times inaccurate, inconsistent, contains missing values, and is organized for clinical care rather than to meet analytic needs. Learning from health data requires a solid grasp of data operations, data visualization, statistics, and machine learning, as well as an understanding of ethical and legal frameworks guiding health data privacy and security.

Technology and Operations 411

Spreadsheets are among the most widely used decision support tools in business today, and have advanced to the point of providing powerful, general-purpose functionally.  The first half of the course introduces decision support modeling using spreadsheets, including:  what-if analysis; financial, statistical, and time/date functions; graphical presentation of data; organizing and extracting information from spreadsheet databases; and cross-tabulation of data.  The second half of the course includes importing information into spreadsheets from external sources; goal seeking; one and two way

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