RAD147 Radiographic Imaging I

College of Health Science Medical Radiography Department

Course Description: This course will cover the primary and secondary technical exposure factors that govern the acquisition and production of a radiographic image. An emphasis is placed on image quality factors, and the components of digital imaging systems. Students will learn the principles of technique selection and usage of imaging accessories that are used to produce quality diagnostic images. The basis of image evaluation and steps needed for improvement of suboptimal images are included in the course.Topics will also include receptor exposure, contrast, resolution, and distortion.

Credit Hours: 2.00

Prerequisites: All of: RAD110

Corequisites: RAD152

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RAD217 Radiographic Imaging 3

College of Health Science Medical Radiography Department

Course Description: This course will further explore radiographic computer applications and equipment, continuing a comprehensive understanding of the components, principles, and operation of digital imaging systems found in diagnostic radiology. Students will learn networking, basic computer principals, factors that impact image acquisition, display, archiving and retrieval to include a study of the design and function of Digital Radiography (DR), digital imaging workstations, post-processing, and Picture Archiving and Communications Systems (PACS). The elements of a quality improvement program, and various aspects of preventative and corrective maintenance related to quality assurance of the components of the radiographic imaging system will also be covered.

Credit Hours: 1.00

Prerequisites: All of: RAD177

Corequisites: RAD212

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RAD177 Radiographic Imaging 2

College of Health Science Medical Radiography Department

Course Description: This course will provide a basis for analyzing radiographic images for optimal standards, with an emphasis on factors that affect radiographic image quality. Included are the importance of optimal imaging standards, discussion of problem-solving techniques for image evaluation, pre-processing, and factors that can affect image quality. Students will evaluate and analyze images in DR/CR. Fluoroscopic equipment, image acquisition, Quality Assurance (QA), and Quality Control (QC) will be presented.

Credit Hours: 1.00

Prerequisites: All of: RAD147

Corequisites: RAD182

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RAD205 Radiographer Research and Review

College of Health Science Medical Radiography Department

Course Description: This course will prepare students to research a radiography related topic and assess their knowledge of American Registry of Radiologic Technologists® (ARRT) related content. Students will learn proper research techniques and effective written communication. Students will self-evaluate their overall radiology knowledge. Students will have the skill sets to improve exam preparation.

Credit Hours: 1.00

Prerequisites: All of: RAD177

Corequisites: RAD202

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RAD156 Radiation Production, Characteristics and Imagin Equipment

College of Health Science Medical Radiography Department

Course Description: This course will cover the basics of radiography related physics and imaging equipment.Students will learn physics concepts, principles of radiation production, equipment operation, and atomic interactions.

Credit Hours: 3.00

Prerequisites: All of: RAD147

Corequisites: RAD162

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RAD235 Radiation Biology and Protection

College of Health Science Medical Radiography Department

Course Description: This course will introduce patient and personnel protection, as well as radiation exposure and monitoring. Students will learn the biologic effects of radiation, minimizing exposure, regulatory agencies, and general guidelines. Units of measurement, dosages, and dosimeters will be discussed.

Credit Hours: 2.00

Prerequisites: All of: RAD225

Corequisites: RAD232

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OPM603 Quality Systems, Lean Management, and AI

College of Business and Criminal Justice Business Department

Course Description: This course develops lean operations and quality systems for continuous improvement, with applied use of analytics and AI. Students learn to eliminate waste, reduce variation, and design pull and flow. Methods include value stream mapping, 5S, kanban, takt and capacity planning, statistical process control, control charts, process capability, defects per million opportunities, failure mode analysis, and sustainability return on investment. AI labs pilot predictive quality analytics, computer vision checks for 5S, real time anomaly alerts, and AI support for kanban decisions and simulation games. Emphasis is on human-in-the-loop practice, data ethics, and executive communication of cost, service, quality, and risk.

Credit Hours: 3.00

Prerequisites: None

Corequisites: None

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MET604 Quality Management

College of Technology Engineering Technology Department

Course Description: This course introduces students to the principles, strategies, and systems of quality management. Topics covered include designing quality processes, the key elements of total quality management, the six-sigma process improvement methodology (DMAIC), strategic quality planning, the voice of the customer, and quality systems. Students will apply appropriate analytical and statistical tools to manage and improve quality in processes.

Credit Hours: 3.00

Prerequisites: None

Corequisites: None

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SDC205L Python for Data Analytics LAB

College of Technology Software Development and Coding Department

Course Description: This course will provide students with the knowledge and skills needed to use Python scripting for creating scripts and programs necessary for automating operating and network system commands to efficiently perform common configuration and security tasks. Students will be aware of and able to use Python libraries that allow access to data for useful analysis.

Credit Hours: 1.00

Prerequisites: All of: SDC100

Corequisites: SDC205

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SDC205 Python for Data Analytics

College of Technology Software Development and Coding Department

Course Description: This course will provide students with the knowledge and skills needed to use Python scripting for creating scripts and programs necessary for automating operating and network system commands to efficiently perform common configuration tasks. Students will be aware of and able to use Python libraries that allow access to data for useful analysis.

Credit Hours: 3.00

Prerequisites: All of: SDC100

Corequisites: SDC205L

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