This addendum modifies catalog content as indicated and supersedes all previous addenda. Page 18 / 33 2022-2023 ADDENDUM to the Rasmussen University Catalog and Student Handbook June 22, 2023 PLA1013 Introduction to Law and the Legal System 40 hours, 4 credits Students will examine the American legal system and related terminology from a paralegal’s perspective. They will explore the sources of law and structure and authority of government, including the court system and court procedures. In addition, students will examine the difference between civil and criminal cases. Students will explore different areas of law where paralegals may work. They will study the skills and knowledge required for success, including legal writing, legal research, interviewing, and case management duties. Students will study ethical and professional responsibilities associated with paralegal duties. Prerequisite: This course should be taken in the student’s first quarter PTN1146 Pharmacy Calculations 40 hours, 4 credits This course provides the calculations necessary to be a successful member of the pharmacy team. Students will learn how to calculate dosages that meet the safety laws and regulations of the practice of pharmacy. Students will also be prepared to calculate measurements, conversions, ratios, and dilutions. Prerequisite: PTN1009 Foundations of Pharmacy Practice QMB4200 Advanced Analytics Platforms, Environments, and Software 60 hours, 4 credits This course covers the data analytics lifecycle surrounding Big Data. Topics include Big Data architectures, batch and real-time processing environments, ETL tools and techniques, Big Data storage technologies, machine learning, and visualization. Security, legal, and ethical issues will also be addressed. Students will work with the SAS® statistical software suite to perform exploratory data analysis and reporting. Prerequisite: QMB3100 Foundations of Analytics Platforms, Environments, and Software Add the following new descriptions: PHC5035 Epidemiology and Biostatistics 40 hours, 4 credits In this course, students learn the role of epidemiology and biostatistics in disease prevention. Students learn a variety of exposure-disease models related to disease pathways and occurrence prevention. Students learn the strengths and weaknesses of epidemiological study designs, and how to interpret the analysis to draw conclusions from these studies. Students will utilize different data sources and will learn the difference between primary and secondary data. Students will calculate disease rates and measures of association and develop skills to assess the scope and magnitude of the risk factors that influence health outcomes. Prerequisite: None QMB1311C Python Programming 60 hours, 4 credits In this course, students will work with the Python programming language to learn how it can be used to handle important computing tasks. Students will demonstrate their understanding of flow control, functions, object- oriented concepts, and basic data structures as well as utilizing external modules. Prerequisite: COP1044C Introduction to Object-Oriented Programming QMB2311C Advanced Python Programming 60 hours, 4 credits In this course, students will focus on advanced Python techniques and best practices. Through a series of hands-on labs, students will focus on advanced topics to include lambda functions, comprehensions, handling file operations, integration of Regular Expression (regex) logic, and troubleshooting code issues with debugging techniques. Prerequisite: QMB1311C Python Programming
