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A study of word origin and structure through the introduction of prefixes, suffixes, root words, plurals, abbreviations and symbols, surgical procedures, medical specialties, and diagnostic procedures.
An online course offering complete understanding of using two different measuring systems in medical practice to determine converting one system to the other, dosages in multiple dosage forms, dosages based on weight and routes of administration. The course will include workforce applicable calculations of flow rates for intravenous administration. This course will allow practicing health care professionals a review and also an avenue of students to receive credit for dosage calculations when taking a 3 credit hour pharmacology course at another institution. NOTE: Mandatory final exam schedule last day in testing center.
Revit Architecture is a powerful Building Information Modeling (BIM) program that works the way Architects think. From Preliminary Design through Design Development and into Construction Documents, the program streamlines the design process with a central 3D model. Changes made in one view update across all views and on the printable sheets. Since building projects themselves tend to be extremely complex, Revit Architecture necessarily a complex program. The objective of the Revit Architecture 2011 Fundamentals course is to enable students to create full 3D architectural project models and set them up in working drawings. You begin by learning about the user interface and the Revit commands for design development followed by those available for construction documentation. Duration: 32 hours. Prerequisites:
An understanding of architectural terminology is an asset.
Concepts of confidentiality, ethics, healthcare legislation, and regulations relating to the maintenance and use of health information. This class is suitable for all health care majors.
Python Data Analysis
Course Code: ITSE-2072
Program Area: Computer Science & Information Technology
This course is meant for everyone who wants to use Python for analyzing data and/or data science, whether they are veteran Python users, experienced programmers, statisticians, or looking to take basic python skills to the next level. The course will cover topics covering the whole analysis pipeline, including reading data, visualization, data manipulation, modeling, and machine learning. Suggested prerequisite is basic Python knowledge or ITSE 2079 Introduction to Python.