9 courses with the subject PP, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
PP 1001Pharmacy First-Year Seminar1
This course introduces first-year students to the opportunities and rigors of higher education, the skills needed to use academic resources successfully in college, and the profession of pharmacy and in pharmaceutical sciences. The topics covered in the seminar help first-year students articulate and reach their academic goals and include study habits, test-taking strategies, time management tools, goal setting techniques, financial literacy, communication in college, and university resources/navigation/utilization. Students work closely with the instructor to develop an academic plan.
Subject
PP
Credits (min)
1
Credits (max)
1
Credit unit
Credit Hour
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
This course introduces transfer students to the opportunities and rigors of higher education, the skills needed to use academic resources successfully in college, and the profession of pharmacy and in pharmaceutical sciences. The topics covered in the seminar help transfer students articulate and reach their academic goals and include study habits, test-taking strategies, time management tools, goal setting techniques, communication in college, and School of Pharmacy resources/navigation/utilization. Students work closely with the instructor to develop an academic plan. In addition, students are introduced to various career pathways in the profession of pharmacy and pharmaceutical industry and provided skills to search for jobs and internships to gain experience in the field during their studies.
Subject
PP
Credits (min)
1
Credits (max)
1
Credit unit
Credit Hour
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
In this course, students will be introduced to the field of medical writing. Students will learn and practice researching and writing different deliverables, including abstracts, manuscripts, slide decks, and posters. Students will have the opportunity to learn the essentials of AMA (American Medical Association) Style and to hone their writing skills by writing weekly reflections in addition to several assigned written projects and presentations.
PP 4254Biostatistics and Medical Literature Evaluation2
The goal of the Biostatistics and Medical Literature Evaluation course is to prepare the student to evaluate and apply data from the published medical primary literature. Additionally, the student will understand the potential pitfalls of statistical methodologic flaws and inherent research study biases.
Subject
PP
Credits (min)
2
Credits (max)
2
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.Pre-requisites: Minimum grade of C- in (MATH 1031, MATH 1041, or MATH 1941)
This course examines the economic, social, and political forces affecting the delivery of health care services. In addition, the impact of these forces on health care systems, pharmacies, pharmacy practice, practicing pharmacists, and patients are explored.
Subject
PP
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.Pre-requisites: Minimum grade of C- in (MATH 1031, MATH 1041, or MATH 1941), (CHEM 2202 or CHEM 2922), (CHEM 2204 or CHEM 2924), (BIOL 1111 or BI
PP 5001Foundations of Health Outcomes and Real-World Evidence3
This course introduces students to the foundations of health outcomes assessment and real-world evidence (RWE) and their application in contemporary healthcare decision-making. Students learn how outcomes data are generated, evaluated, compared, and applied across clinical, payer, and policy settings. Emphasis is placed on interpretation, critical evaluation, and communication of evidence rather than advanced statistical modeling. The course also introduces the role of artificial intelligence (AI) as a supportive tool for evidence synthesis, interpretation, and decision-making in health outcomes research.
Subject
PP
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
PP 5002Machine Learning Applications for Health Outcomes Decision-Making3
This course introduces students to the application and interpretation of machine learning (ML) and predictive analytics within health outcomes and real-world data and evidence contexts. The course emphasizes how ML methods are used across health care, population health, payer, industry, and policy settings to inform risk prediction, patient stratification, utilization forecasting, and outcomes assessment. It does not focus on programming or model development; rather, students learn to critically interpret model outputs, evaluate performance, assess bias and limitations, and apply ML-informed insights to real-world healthcare decision-making. Ethical considerations and responsible use of AI tools are integrated throughout.
Subject
PP
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
PP 5003Economic and Value Assessment for Health Outcomes3
This course introduces students to applied approaches for understanding economic value and affordability in healthcare decision-making. Students examine how health outcomes, costs, and value considerations are combined to inform payer, provider, and policy decisions. Emphasis is placed on interpretation, transparency, and practical decision use rather than advanced economic modeling. The course incorporates guided use of AI-supported tools to assist with evidence synthesis, scenario exploration, and communication of value information, with a focus on critical evaluation and independent judgment.
Subject
PP
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
This course focuses on patient-centered outcomes and the increasing role of digital health technologies in measuring, monitoring, and interpreting health outcomes. Building on foundational concepts of patient-reported outcomes (PROs), students examine PROMs, PROMIS, preference-based measures, and outcome interpretation across clinical trials, clinical practice, industry, and health systems. The course also introduces digital health tools - including electronic PROs (ePROs), wearables, and remote monitoring - as emerging sources of patient-generated outcomes data. Guided, AI-supported activities are incorporated to assist with synthesis and interpretation of patient-centered evidence, while emphasizing ethical use, data quality, equity, and independent judgment.
Subject
PP
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hours
Type
course
Repeatable
Repeatability: This course may not be repeated for additional credits.
