Subject: MBAP

Term: Spring 2024

MBAP 400H: Probability, Statistics, and Quantitative Methods (800/1233)

T 07:30-08:30 PM Feb 26-Apr 14

Fallahtafti, A

This course helps students squire and/or refresh the following probability, statistics, mathematics, and computer skills that are essential for effectives managers in a healthcare system. Topics include: Descriptive Statistics (summarizing and explaining data), Probability (modeling randomness and variability using probability ideas) Sampling (mean, standard deviation, and the role of the Central Limit Theorem), Linear equations and exponentials.

MBAP 401H: Leadership Assessment and Development (800/1231)

W 07:00-08:30 PM Jan 08-Apr 14

Van Oosten, E

This main objective of this course is to help students deepen their self-awareness and to prepare them to be effective leaders and life-long learners. The course is based on a model of self-directed learning and development, which encourages students to discover and expand their emotional intelligence and leadership potential. Students are encouraged to reflect and learn through a series of activities, assessment exercises, and small and large group discussions. Students will complete a personal vision, receive 360-degree feedback on their emotional and social competence and create a personalized learning plan to guide their development throughout the MBA program. Leadership development coaches will meet with each student during the semester. Fundamentally, this course is about developing the leader within each person so that he or she can lead and manage others effectively within a healthcare setting.

MBAP 402: Financial and Managerial Accountancy (400/10921)

M 07:45-09:15 PM Jan 16-Apr 29

King, T

Students are also expected to complete the asynchronous content of this course.

MBAP 402H: Accounting for Managers (800/1230)

W 07:00-08:00 PM Jan 08-Apr 14

King, T

The course introduces graduate management students to accounting's role in business administration. Students learn that accounting is not math, truth, or putting numbers in to boxes. Instead, accounting is an imprecise language used to send and receive information about economic performance. Every language has its quirks, and accounting is no exception. Any communication problem that arises from use of English may reveal itself when one uses accounting. This course sensitizes students to common communication problems and suggests ways that they may be mitigated. A metaphor for the class is taking a one-semester introductory course in a foreign language. A semester's worth of study does not make one fluent. However, successful completion of the course allows motivated students, over the balance of their careers, to cultivate the ability to read, write, speak, and listen to that language. Time invested lays a foundation for accelerated learning. Highly motivated students eventually become fluent, while others are better able to use the language in everyday life

MBAP 403H: Statistics and Decision Modeling (800/1234)

R 07:00-08:30 PM Jan 08-Apr 14

Fallahtafti, A

The primary objective of this course, and a goal of the part-time MBA Program, is to make you a competent analyst by providing you with the ability to use, and to communicate with those who use, certain quantitative approaches to help make informed decisions for your organizations. A secondary objective is to provide you with the quantitative knowledge and skills that are needed in other MBA courses. The two groups of quantitative techniques are statistics and decision modeling. The objective of statistics is to summarize and present information contained in data sets, to draw conclusions about large populations based only on information obtained from samples, and, using these conclusions, to obtain reliable forecasts of quantities of interest. Among other things, statistical analysis provides many of the data needed in decision modeling. At the end of this part of the course you will be able to: 1) Summarize data sets using either graphical techniques (histograms, pie charts, and so on) or descriptive statistics (mean, median, standard deviation, and so on). 2) Use computer software to develop estimates and confidence intervals for means and proportions, and analyze the tradeoff between sample size and estimation risk. 3) Use sample data either to support or reject claims about a large population; understand the concepts and consequences of type-1 and type-2 errors. 4) Analyze relationships between two or more quantities of interest and use these relationships to make intelligent forecasts.

MBAP 405: Financial Management I (400/1090)

M 06:00-07:30 PM Jan 16-Apr 29

Fine, S

Students are also expected to complete the asynchronous content of this course.

MBAP 405H: Financial Management (800/10282)

W 07:00-08:30 PM Jan 08-Apr 14

Fine, S

The purpose of this class is to introduce you to multiple concepts in Corporate Finance with the aim of providing principles and tools that enable you to make managerial decisions that increase the firm's value. The course will begin by building a foundation in understand the time value of money and its many applications, and then move on to various tools used to evaluate sound investment decision making. Students will also gain an understanding of how securities (different claims on the business) are evaluated and valued, including an in-depth treatment of risk vs. expected return, i.e., the notion that a more risky investment requires a higher expected return. We will then revisit corporate financial analysis first taught in financial accounting. The course will conclude with fundamental corporate valuation techniques. This portion of the class integrate topics learned earlier in the course, will build linkages to other courses (especially financial accounting) and reinforce what drives value as a manager within the enterprise.

MBAP 410: Strategic Issues and Applications (400/1326)

M 06:00-07:30 PM Jan 16-Apr 29

Peck, S

Students are also expected to complete the asynchronous content of this course.

MBAP 410H: Strategic Issues and Applications (800/1344)

T 07:00-08:30 PM Jan 08-Apr 14

Peck, S

Strategic Management deals fundamentally with the ways firms build and sustain superior competitive positions and profitability. Successful strategy design and implementation requires an understanding of a firm's external environment, its internal resources and capabilities. It also requires an integrative view of the firm that spans functional areas such as operations, marketing and finance. Strategic analysis draws on a number of academic disciplines including economics, psychology, political and management science.

MBAP 422H: Digital Innovation in Healthcare (800/1232)

T 07:00-08:30 PM Jan 08-Feb 25

Agamanolis, S

In this course, students will learn the role of digital technology in creating new digitally enabled services in the healthcare market. Industry experts will be engaged throughout the course to provide the latest information on developments and application being used.

MBAP 427H: Introduction to Population Health (800/10283)

R 07:00-08:30 PM Jan 08-Feb 25

Healy, S; Nevel, A

This course ntroduces graduate students to the multiple determinants of health including the social, economic and physical environment, health services, individual behavior, genetics and their interactions. It aims to provide students with the broad understanding of the research development and design for studying population health, the prevention and intervention strategies for improving population health and the disparities that exist in morbidity, mortality, functional and quality of life. Format is primarily group discussion around current readings in the field.

MBAP 428H: Healthcare Decision Making and Analytics (800/10285)

W 07:00-08:30 PM Jan 08-Apr 14

Kazemian, P

This course is designed to introduce the students to a wide range of methods and applications of decision science and analytics in healthcare management and medical decision making. The primary objective of the course is to provide the students with the necessary technical knowledge and skills to understand mathematical and statistical models used in health decision making. Further, the course aims to provide the students with hands-on experience required to leverage such methods for evaluating clinical interventions, choosing the best treatment, and informing public health policy. Course topics include decision trees, Markov decision models, Monte Carlo simulation, cost-effectiveness analysis, sensitivity analysis, utility theory, bootstrapping and subgroup analysis, prediction and classification methods, and using computer software to build and analyze health decision analysis models.

MBAP 429H: Artificial Intelligence Applications in Healthcare Management (800/10284)

R 07:00-08:30 PM Feb 26-Apr 14

Kazemian, P

Artificial intelligence (AI) is a set of methods and algorithms that enable computers to mimic human behavior. Deep learning is a subfield of machine learning that builds large neural networks to extract subtle patterns from data and is currently the state-of-the-art method of achieving artificial intelligence. Healthcare is undoubtedly one of the most promising and influential application areas of AI. The unprecedented increase in data availability and computer power over the past decade has enabled neural network models to parse massive clinical datasets, learn incredibly subtle patterns, and in some cases, augment clinicians' performance. This course covers the basic concepts and theoretical foundations of deep learning as they relate to healthcare management. We will discuss several successful applications of AI in healthcare as well as opportunities for AI across a variety of healthcare contexts. Limitations, challenges, key debates, and considerations surrounding AI models and their adoption in healthcare will also be highlighted.