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2023-2025 Catalog Volume XXXI Ver 1
Descriptions of Courses
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South College courses are numbered according to the general level of instruction. Although there are exceptional cases, most one thousand level courses are considered first year undergraduate courses and two thousand level courses are considered second year undergraduate courses. Courses numbered at the 3000-4000 levels are upper division undergraduate courses. Courses assigned numbers at the 5000 level are considered master’s level courses. Courses assigned numbers at the 6000 level are considered educational specialist or doctoral courses. Courses are assigned letters according to the department in which they are taught and are listed in alphabetical order.
Contact/Credit hours for each course are indicated by the four-digit code located to the right of the course title. The first number indicates the minimum number of hours in lecture per week for the length of the course; the second and third numbers indicate the minimum number of hours in lab/internship/clinical/practicum/student teaching/fieldwork per week for the length of the course; and the last number indicates the number of credit hours earned for successful course completion. Please note that hours per week in each category will be modified for instances where classes are scheduled for periods other than the full quarter. One credit hour is generally equivalent to a minimum of 10 in class hours lecture/instruction, 20 hours in class lab, 30 hours internship/clinical/practicum/student teaching, or a combination. See Academic Information section for credit hour definition.
The type of courses offered include the following:
- Onground Courses – A course in which the primary delivery of course hours occur with instruction and interaction between the student and the instructor in a physical classroom at a South College location. A nominal amount of the course may be delivered using distance learning. For example, for a course requiring 45 directed instruction hours, 40 hours would be completed onground and 5 hours online.
- Web-Enhanced Courses – A course in which both the physical classroom and distance delivery are used to provide instruction and interaction between students and the instructor. For example, for a course requiring 45 directed instruction hours, 20 hours may be completed onground at a South College location and 25 hours online.
- Hybrid Courses – A course in which both the physical classroom and distance delivery are used to provide instruction and interaction between students at multiple campuses and the instructor. For example, for a course requiring 45 directed instruction hours, 20 hours would be completed onground with live interaction through in-person attendance or synchronous distance learning and 25 hours may be completed asynchronously online.
- Online Courses (Distance Learning) – A course in which distance delivery is used to provide all instruction and interaction between students and the instructor. The course may be delivered synchronously, asynchronously, or a combination of both.
Academic offerings are subject to change at the discretion of the institution. Prerequisites may be waived with the dean’s/department chair’s permission.
South College reserves the right to cancel any scheduled class section if ten or fewer students are registered.
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CST 2700 Discrete Mathematics
Lecture: 4.5 Lab: 0 Practica: 0 Total Credits: 4.5
This course covers discrete structures that are used throughout computer science and information technology. Topics include logic, proofs, sets, relations, functions, counting, and probability, with an emphasis on application.
Prerequisite(s): MAT 2501
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CST 2999 Internship
Lecture: 0.5 Lab: 0 Practica: 4 Total Credits: 4.5
This course is designed to allow student to apply course and learning experiences to develop an understanding and working knowledge of actual operations, events, planning, and management within the field of computer science/information technology. Students will be able to relate to a career in the industry, test their skills, further develop personal interests, and apply theories to a work setting. The Internship may be offered in a fully remote or on location setting.
Prerequisite(s): Requires pre-approval of internship site and agreement signed by Department Chair or Dean.
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CST 3110 Computer Programming
Lecture: 2.5 Lab: 2 Practica: 0 Total Credits: 4.5
This course explores the necessity for computer programming applications for business applications. Students continue using an object-oriented language introduced in Applications Development.
Prerequisite(s): INT 2110 /CST 2100 , INT 2120 , and INT 3120 with grades of C or better
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CST 3111 Digital Forensics
Lecture: 1.5 Lab: 3 Practica: 0 Total Credits: 4.5
This course involves the investigation of computer-related crimes with the goal of obtaining evidence to be presented in a court of law. In this course, students learn the principles and techniques for digital forensics investigation and the spectrum of available computer forensics tools.
Prerequisite(s): INT 3110 with a grade of C or better
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CST 3120 User Interface & User Experience Design
Lecture: 1.5 Lab: 3 Practica: 0 Total Credits: 4.5
This course explores a design-centric approach to user interface and user experience design, and offers practical, skill-based instruction centered around a visual communications perspective. This includes both coding of the UI/UX elements and the visual layout and design.
Prerequisite(s): CST 2200 with a grade of C or better
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CST 3210 Advanced Computer Programming Concepts
Lecture: 2.5 Lab: 2 Practica: 0 Total Credits: 4.5
This course explores the development of software systems. Students continue using an object-oriented language to develop applications that solve real-world problems.
Prerequisite(s): CST 3110 and INT 3120 with grades of C or better
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CST 3361 System & Communication Security
Lecture: 2.5 Lab: 2 Practica: 0 Total Credits: 4.5
This course focuses on basic operating system security through securing communication between networked systems. Students learn to implement transport layer security (TLS) and a public key infrastructure (PKI).
Prerequisite(s): INT 3310 with a C or better
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CST 3501 Programming in Java
Lecture: 1.5 Lab: 3 Practica: 0 Total Credits: 4.5
This course focuses on programming and application development using the selected programming language. Topics include formal specification of syntax and semantics, list processing, string manipulation, statement types, control structures, and interface procedures for this language.
Prerequisite(s): CST 2200 with a grade of C or better
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CST 3502 Programming in C++
Lecture: 1.5 Lab: 3 Practica: 0 Total Credits: 4.5
This course focuses on programming and application development using the selected programming language. Topics include formal specification of syntax and semantics, list processing, string manipulation, statement types, control structures, and interface procedures for this language.
Prerequisite(s): CST 2200 with a grade of C or better
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CST 3801 Advanced Cyber Security
Lecture: 2.5 Lab: 2 Practica: 0 Total Credits: 4.5
This course builds upon knowledge already acquired in the areas of system architecture and operating systems and focuses on the core issues of information security. Students learn fundamental concepts of information security including data encryption, security awareness, legal and ethical issues, operational issues, security policies, and attack types; while expanding on the coverage to include security domains, forensics, security services, threat analysis, and vulnerabilities assessments.
Prerequisite(s): CST 2610 with a grade of C or better
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CST 4000 Analysis of Algorithms
Lecture: 2 Lab: 2.5 Practica: 0 Total Credits: 4.5
This course covers techniques for the evaluation and design of efficient algorithms including evaluating options and tradeoffs for sorting, search trees, heaps, and hashing. Additional advanced algorithm techniques are introduced including divide-and-conquer, dynamic programming, greedy algorithms, amortized analysis, graph algorithms, and shortest paths.
Prerequisite(s): CST 2100 with a grade of C or better
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CST 4101 Big Data Analytics
Lecture: 3.5 Lab: 1 Practica: 0 Total Credits: 4.5
This course focuses on the grounding principles of data science to gather information from extremely large data sets. Topics introduced include hypothesis testing, information extrapolation, regression analysis, forecasting, and A/B testing.
Prerequisite(s): CST 4000 with a grade of C or better
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CST 4111 Secure Software Design
Lecture: 3.5 Lab: 1 Practica: 0 Total Credits: 4.5
This course explores threats to software information resources and fundamentals for securing applications with appropriate countermeasures. Topics include cryptography, identification, authentication, access control, and intrusion detection and prevention
Prerequisite(s): CST 4000 with a grade of C or better
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CST 4121 Requirements Analysis
Lecture: 3.5 Lab: 1 Practica: 0 Total Credits: 4.5
This course details the process of establishing software requirements to build systems correctly. Topics include use cases, stakeholder analysis, iterative prototyping, and the formalized statement and management of software system requirements.
Prerequisite(s): CST 4000 with a grade of C or better
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CST 4131 Mobile App Development
Lecture: 3.5 Lab: 1 Practica: 0 Total Credits: 4.5
This course focuses on the unique challenges of developing software applications for mobile devices. Topics include accessing device capabilities, operating systems, and native functions on mobile platforms.
Prerequisite(s): CST 4000 with a grade of C or better
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CST 4141 Machine Learning
Lecture: 3.5 Lab: 1 Practica: 0 Total Credits: 4.5
This course examines methods to develop intelligent systems that can analyze data and focuses on modern examples of machine learning in action through examination of Siri, Amazon Alexa, and Google Home. Theoretical foundations and essential algorithms for foundational machine learning are also covered.
Prerequisite(s): CST 4000 with a grade of C or better
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CST 4142 Artificial Intelligence
Lecture: 3.5 Lab: 1 Practica: 0 Total Credits: 4.5
This course examines how systems are classified as behaving “intelligently” by resulting in the correct path or answer in complex environments. This includes coverage of optimal pathways and influence, knowledge representation, reasoning, and learning. Additional topics include natural language processing, computer vision, and robotics.
Prerequisite(s): CST 4000 with a grade of C or better
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CST 4143 Decision Networks & Graphs
Lecture: 3.5 Lab: 1 Practica: 0 Total Credits: 4.5
This course covers normative approaches to uncertainty in artificial intelligence and includes a survey of probabilistic and causal modeling of artificial intelligence with Bayesian networks and influence diagrams.
Prerequisite(s): CST 4142 with a grade of C or better
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CST 4151 Blockchain
Lecture: 3.5 Lab: 1 Practica: 0 Total Credits: 4.5
This course covers the foundational principles of blockchain and the blockchain ecosystem. Topics include security of blockchain, resource requirements, current applications, and estimated blockchain frontiers.
Prerequisite(s): CST 4000 with a grade of C or better
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CST 4152 Cloud Service Architecture
Lecture: 3.5 Lab: 1 Practica: 0 Total Credits: 4.5
This course covers the architecture behind cloud technology and how to leverage it within an application. The types of cloud computing including public, private, and hybrid cloud computing are explored. Additional topics include a comparison of cloud computing to standard client server technologies.
Prerequisite(s): CST 4000 with a grade of C or better
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CST 4361 Incident Response & Investigation
Lecture: 2.5 Lab: 2 Practica: 0 Total Credits: 4.5
This course explores incident analysis and response techniques within the context of an enterprise. Students learn basic digital forensic terminology and how incident response activities inform and augment digital investigations.
Prerequisite(s): INT 3310 with a C or better
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CST 4371 Security Risk Management
Lecture: 2.5 Lab: 2 Practica: 0 Total Credits: 4.5
In this course, students apply the principles of risk management to solve real-world security problems and learn how risk management influences organizational security programs. Topics explored include how the concepts of threat, impact, relevance, and likelihood are woven together to develop balanced, effective security controls.
Prerequisite(s): INT 3310 with a C or better
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CST 4500 Applied Cryptography
Lecture: 3 Lab: 1.5 Practica: 0 Total Credits: 4.5
This course focuses on the function of cryptographic systems and how to correctly use them in real-world applications. This includes discussion of two-party communication with a shared secret key and the effects of an adversary who eavesdrops and tampers with traffic. The course also discusses public-key techniques that let two parties generate a shared secret key.
Prerequisite(s): CST 4000 with a grade of C or better
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CST 4510 Software Reverse Engineering
Lecture: 3 Lab: 1.5 Practica: 0 Total Credits: 4.5
This course examines the process of recovering the design, requirement specifications and functions of a product from an analysis of its code. The purpose of reverse engineering is to facilitate the maintenance work by improving the understandability of a system and to produce the necessary documentation or integration for a legacy system.
Prerequisite(s): CST 4000 with a grade of C or better
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CST 4520 Cyber Defense Strategy
Lecture: 3 Lab: 1.5 Practica: 0 Total Credits: 4.5
This course focuses on communication of a cyber defense review and ongoing strategy to both technical and non-technical audience. The course topics focus on security and risk mitigation as part of corporate strategy. Topics in the course include black-box and white-box security, prioritization of vulnerabilities, breach preparation, risk assessment, and infrastructure analysis.
Prerequisite(s): CST 4000 with a grade of C or better
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CST 4800 Software System Evaluation
Lecture: 1.5 Lab: 3 Practica: 0 Total Credits: 4.5
This course covers project planning, requirements analysis, design, and specification of a computing problem chosen by the student and instructor that is solvable with a software system; completion of this course leads to implementation of the solution in CST 4900 .
Prerequisite(s): CST 4000 with a grade of C or better (should be taken in next to last quarter)
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CST 4900 Software System Construction
Lecture: 1.5 Lab: 3 Practica: 0 Total Credits: 4.5
This course covers computer system implementation, testing, verification, and validation of results for the problem solution composed in CST 4800 . Students are expected to have a working software system or prototype upon exiting this course.
Prerequisite(s): CST 4800 with a grade of C or better (should be taken in last quarter)
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CST 5010 Advanced Algorithms
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on the fundamental design and use of algorithms, as well as methods of algorithmic design, analysis, and implementation. Specific topics include run time notation, computational geometry, amortization, randomization, fingerprinting, parallelism, linear and dynamic programming, and approximation. Students apply algorithms to strings, optimization, sorting, streaming algorithms, and data structures.
Prerequisite(s): Program Admission
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CST 5020 Advanced Software Engineering
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on advanced techniques for designing and developing integrated software systems. Topics include the full lifecycle of software design and development including requirements analysis, design, testing, and maintenance/upgrading. Students focus on project design and quality management, including dependability, reliability, safety, and security.
Prerequisite(s): Program Admission
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CST 5030 Predictive Modeling
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on concepts and application of predictive analytics and modeling, which is the most common data mining technique. Core paradigms for the application of predictive modeling, including classification and prediction are covered. Specific topics include k-nearest neighbors, classification and regression trees (CART), and Bayesian classifiers.
Prerequisite(s): Program Admission
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CST 5040 Data Mining
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on the core concepts, methods, and application of data mining. Primary methods of pattern discovery and cluster analysis, including hierarchical methods, density-based methods, and grid-based methods for partitioning, are covered. Topics include scalability of data set processing, dividing massive data sets into learning and testing sets, evaluating patterns, unsupervised learning, and validating findings.
Prerequisite(s): Program Admission
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CST 5050 Evolutionary Computing
Lecture: 5 Lab: 0 Practica: 0 Total Credits: 5
This course focuses on the history, theory, and application of evolutionary algorithms including Genetic Algorithms (GA), Genetic Programming (GP), and Evolutionary Strategy (ES). Concepts of representation, operational input, and application of these algorithms are covered. Topics include the level of operational control in these algorithms, as well as applicability of each to specific problem sets.
Prerequisite(s): Program Admission
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CST 5110 Compilers
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on the operation of compilers for modern programming languages. Students explore how compilers apply algorithms, formal language theory, programming languages, software engineering, and computer architecture to translate high level languages to machine code. Topics include one-pass and multiple-pass compilers, symbol table management, lexical analysis, parsing techniques, syntax-directed translation, semantic analysis, run-time storage management, and code generation.
Prerequisite(s): CST 5010 , CST 5020
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CST 5120 Computer Architecture
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on the function of hardware elements and cohesive integration of hardware for computer functionality. Students explore how processors manage hardware components to efficiently execute instructions. Topics include techniques used in CPU design such as superscalar design, out-of-order execution, and cache hierarchies.
Prerequisite(s): Program Admission
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CST 5130 Neural Networks
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on the foundational concepts and application of neural networks for machine learning. Students study how neural networks learn to perform a specific task from examples of desired input/output behavior. Topics include ill-structured domains, neural network architectures, learning algorithms, and application of neural networks.
Prerequisite(s): Program Admission
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CST 5140 Swarm Intelligence
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on distributed intelligence gathering for artificial intelligence from disparate input. Students study how sensor systems perform search and knowledge representation. Topics include application in areas of computer vision, wide area networks, and distributed data collection and processing, as well as sensor network distribution, data transmission, data verification, and interpolation.
Prerequisite(s): Program Admission
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CST 5150 Formal Languages
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on the mathematical framework for language description and computation. Students learn practical applications of automata to linguistics and state-based computation. Topics include computability theory and complexity theory.
Prerequisite(s): Program Admission
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CST 5160 Machine Learning
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on the application of statistics, linear algebra, optimization, and algorithms to create autonomous systems to process data. Students study the application of machine learning to areas such as business intelligence, homeland security, and structural monitoring. Topics include applicable models and algorithms for machine learning and their practical application.
Prerequisite(s): Program Admission
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CST 5170 Computer Vision and Sensors
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on the concepts and techniques of image processing and computer vision. Students study how sensor input compares to human vision and how data translation can approximate input to readable data. Topics include image formation, filtering, edge detection, segmentation, morphological processing, object detection, and 3D vision.
Prerequisite(s): Program Admission
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CST 5180 Natural Language Processing
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on the concepts of computational linguistics, commonly called Natural Language Processing (NLP). Students study how computer systems process, interpret, and communicate in human language. Topics include algorithms for interpreting and responding in human language, methods for evaluating results, and machine learning to acquire task knowledge for NLP.
Prerequisite(s): Program Admission
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CST 5190 Applied Artificial Intelligence
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
The course focuses on the core concepts of machine learning, data science and artificial intelligence, and their application to real-world problems. AI solutions in practice and near-future applications are discussed. Topics include case studies of applied AI with an in-depth look at the theory and algorithmic processing behind each one.
Prerequisite(s): Program Admission
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CST 5900 Research Methods
Lecture: 5 Lab: 0 Practica: 0 Total Credits: 5
This course focuses on research methodology for computer science and information technology. Students learn foundational principles of experiment design, data collection and validation, evaluating research sources, and presenting results. This course is designed to prepare students for their capstone experience by selecting a project area, establishing the problem set, and compiling existing research on the relevant topics.
Prerequisite(s): Should be taken in second-to-last quarter before capstone course.
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CST 5910 Capstone Project
Lecture: 5 Lab: 0 Practica: 0 Total Credits: 5
This course is designed to provide a framework for the individual student capstone project, in which students apply knowledge from across the curriculum with the research completed in prior courses to produce a comprehensive project deliverable. This course should be taken in the final quarter of the program and provides students with a portfolio project.
Prerequisite(s): CST 5900
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DBA 6515 Theory, Practice, and Accountability in Leadership
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course provides an advanced survey of leadership theories and issues with emphasis on practical application of leadership models in contemporary organizations. Students explore facets of both leadership and followership and the influence of organizational setting and situation. Strategies for working with interpersonal behavior issues are investigated. Students are challenged to explore their own leader, follower, and situation analysis skills.
Prerequisite(s): Admission to DBA Program
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DBA 6525 Business Law, Ethics, and Social Responsibility
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course provides a comprehensive study of the dynamic social, political, legal, and regulatory environments within which domestic and international businesses must operate. Students engage in a critical examination of the broader social purpose of business and the ethical responsibilities that businesses owe to a variety of stakeholders, including employees, suppliers, customers, local communities, and equity investors. Emphasis is placed on the legal and ethical responsibility of business leaders in terms of finance and accounting, confidentiality, and conflicts of interest in a global business environment.
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DBA 6635 Organizational Behavior and Dynamics
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course provides investigation of the factors that demonstrate how organizations interact with their stakeholders including employees, leaders, clients, and the community. Students explore the attitudes and behaviors of individuals and groups within organizations and the impact of organizational change. Theories of cooperation, conflict, and innovation are discussed. Students identify their own strengths and weaknesses in areas such as communication, teamwork, problem solving, cross-cultural relations, conflict resolution, stress management, and navigating organizational politics.
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DBA 6645 Strategic Analysis, Implementation, and Innovation
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course concentrates on the creation and implementation of business strategies, integrating the functional areas of a business. Successful strategies that maximize the competitive advantage in the marketplace, create value, and sustainability as discussed. Emphasis is placed on analysis, creation, and implementation of a cohesive strategy within a global context, with a focus on the role of marketing and finance in the strategic process. Central to the class is the ability to recognize an organization’s chances of survival and later, sustained growth and success.
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DBA 6655 Effective Communication Strategies and Practices Across Cultures
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course assists students in understanding and applying communications theory and identifying research and practical tools for improving personal and professional communications skills. Topics include the importance of communication, partnerships, crisis communication, and evaluation across cultures. Students work to gain knowledge of cultural differences and how communication is impacted by those differences. Additionally, students examine organizations through a multicultural lens and develop an understanding of workplace challenges. Emphasis is placed on effectiveness of both written and verbal communication with a focus on tools to improve cross-cultural communication, building positive working relationships with stakeholders.
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DBA 7100 Building Organizational Capacity
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course provides an in-depth review of effective organizational design in both traditional and innovative organizations. Building capacity within an organization requires a design which maximizes productivity and effectiveness. Students conduct an analytical review of organizational assets, internal policies, and external influences, and consider innovative ways organizations can position themselves for long-term sustainability and growth.
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DBA 7110 Executive Leadership
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
Through this course, students conduct a detailed analysis of the critical aspects of effective leadership including the characteristics, skills, and abilities common among successful senior leaders. Emphasis is placed on the human relation aspects of leadership and how it impacts strategic planning, shared vision, and goal attainment. Students assess their own effectiveness as a leader and create a personal development plan for ongoing leadership development.
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DBA 7120 Leadership as a Coach/Consultant
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course provides students with an understanding of the difference between coaching and managing and prepares students to serve as leader/coach. Students examine coaching within their own organization and coaching as an outsider in a consulting role. Topics include delivering constructive and effective messages, providing and receiving feedback, active listening techniques, strategy formulation, performance management, project management, and process evaluation.
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DBA 7200 Healthcare Policy and Delivery Systems
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course provides a comprehensive overview of healthcare delivery systems globally, with a primary concentration on the United States. Emphasis is placed on the components of healthcare delivery, specifically patients, professional providers, third party payers, reimbursement methods, technology, and public policy. The continuum of health services, including hospital systems, ambulatory care, and long-term care is examined. Current issues in healthcare administration related to access, cost, quality, policy, and political forces are examined with respect to the future of healthcare delivery systems and policy.
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DBA 7210 Leadership Issues in Healthcare Administration
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
Through this course, students conduct a detailed analysis of the critical qualities of effective leadership including the characteristics, skills, and abilities common among successful senior leaders. Legal, regulatory, and ethical mandates and subsequent managerial responses within the healthcare setting are examined, as well as pertinent human resource and workplace safety laws required in healthcare organizations, the impact of employee performance, and challenges of effective recruitment and retention as it relates to strategic leadership.
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DBA 7220 Decision Making in Healthcare Administration
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course provides an overview of decision-making processes involved in managing a healthcare organization, with an emphasis on the financial, economic, and policy aspects of healthcare. Included in the overview is a focus on value analysis, financial risk and required return. Students explore the roles of prices, production of health, demand for health care, theory of health insurance, health insurance and hospital markets, the market for physician services, and the role of government in the U.S. healthcare system. The decision-making process is analyzed to include quality performance, quality assurance, quality measurement, and continuous improvement.
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DBA 7300 Advanced Accounting and Decision Making
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course focuses on formulating, evaluating, and interpreting accounting information for managerial decision making. Emphasis is placed on information relating to costs, budgets, projections, analysis of accounting pronouncements, concepts, and standards needed to make informed business decisions. During this course, students identify and evaluate current developments affecting the field of accounting. Including current business activities, emerging trends, and complying with required reporting standards. The scope of this course is much broader than other accounting courses, merging aspects of financial accounting, managerial accounting, and auditing.
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DBA 7310 Fraud Examination and Forensic Accounting
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course provides examination of the nature of fraud in a business setting and the role of forensic accounting, the tools used, and practices of fraud examination in investigations and audits. Topics explored in this course include fraud prevention, detection, financial statement analysis, and the resolution of cases found in corporate business. Additional topics include the legal environment, Sarbanes-Oxley Act Of 2002, audit and investigation, dispute resolution and litigation services, information security, and tax fraud. Types of fraud found in corporate organizations are differentiated. Delineation on how, why, and what to do when fraud is uncovered in a corporation is also discussed.
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DBA 7320 Global, Non-Profit, and Government Accounting
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course provides examination of the international aspects of theories of accounting related to risk management, global budgeting, and cross-cultural management. Issues on import/export, foreign exchange rates, controlled economies, inflation accounting, and international taxation are also explored. The specialized accounting principles applicable to governments and other non-profit organizations, with an emphasis on fund accounting principles used in the recording of assets, liabilities, equity, revenues, and expenditures, are also considered.
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DBA 7500 Technology Management and AI
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course provides an advanced focus on technology management and its function within the organization. Additionally, there will be exploration into AI and the opportunity it presents within the strategic planning for the organization. Emphasis will be placed on the current Technology Management landscape and opportunities to leverage AI functionality into the technology plan for the current, and future, organization. Students build on advanced technology management concepts to build leadership and followership within the IT organization that leverages technology, management, and AI.
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DBA 7510 IT Innovation and a Competitive Advantage
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
This course emphasizes the value of IT innovation, current and future technologies, and leading strategic planning within complex organizations. Complex organizations require technology to improve their ability to scale and create competitive advantage. This course explores technological innovation as a way of building new solutions to meet future business demands. Emphasis will be on bringing new technologies into the business and IT functions of an organization together to build a combined process to scale the organization. Students will research innovation in IT, change management, and operating in complex environments with the purpose of building strategy and processes to ensure the scalability and advantage of the organization.
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DBA 7530 Data-Driven Decision Making
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
Data drives decision making in Business and this course centers on appropriate data models to support the organization. Reviewing and analyzing the technology, data storage, systems, and processes of an organization to analyze data is foundational for this course. This course will examine the data infrastructure within an organization, validate the availability of data within the organization, create a process for data driven decision making, and demonstrate data driven decision making in action. Emphasis will be placed on ensuring the technology infrastructure within an organization supports data driven decision making, and the demonstration of actual data driven decision making.
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DBA 7805 Applied Research Methods and Advanced Data Analysis
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
Through this course, students work to develop theoretical, methodological, and research skills needed to conduct research and reach analytical conclusions. Students gain an understanding of the principles, theory, and epistemology of research and data analysis methods required for both qualitative and quantitative research. During this course, students begin focusing on topics related to their “Dissertation in Practice” and developing a dissertation proposal.
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DBA 7905 Dissertation in Practice
Lecture: 9 Lab: 0 Practica: 0 Total Credits: 9
Through completion of the dissertation, students have the opportunity to draw upon experiential learning and demonstrate originality in solving a problem related to the discipline. Note: Students will continue to enroll in the course until completion.
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DMS 1310 Ultrasound Procedures I
Lecture: 4 Lab: 0 Practica: 0 Total Credits: 4
This course introduces the student to Diagnostic Medical Sonography and its role in healthcare. Principles, practices, and policies of healthcare organizations are examined with a focus on human diversity in order to promote better understanding of patients, patients’ families, and professional peers. Concurrently, sonography medical terminology, abbreviations, and symbols are discussed. This course examines the specialty of abdominal sonography including anatomy, interpretation of normal and abnormal sonographic patterns, pathology, related clinical signs and symptoms, normal variants, and clinical laboratory tests related to the biliary system, the pancreas, and the spleen.
Prerequisite(s): Program Admission
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DMS 1320 Physics & Instrumentation I
Lecture: 4 Lab: 0 Practica: 0 Total Credits: 4
This course focuses on propagation of sonography through tissue, reflection, refraction, and scattering. Basic features of medical sonographic equipment, including operator controls, imaging processing, transducer technology, transducer types, and safety standards are also discussed.
Prerequisite(s): Program Admission
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DMS 1330 Scanning Lab I
Lecture: 0 Lab: 1 Practica: 0 Total Credits: 1
In this course, under direct supervision, students simulate sonographic examinations of anatomical structures identifying anatomy, pathology, and reinforcing scanning techniques in preparation for performing examinations of the biliary system, pancreas, and spleen in the clinical setting.
Prerequisite(s): Program Admission
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DMS 1340 Clinical Education I
Lecture: 0 Lab: 0 Practica: 6 Total Credits: 6
This competency-based clinical experience introduces learning opportunities in diagnostic medical sonography at various clinical agencies. Student participation focuses on cognitive, affective, and psychomotor skills in patient care and assessment, and observing/performing sonographic procedures as presented in DMS 1310 under direct supervision. Classes occur in the hospital clinical setting. Students are exposed to actual patient contact while performing the sonographic examinations.
Prerequisite(s): Program Admission
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DMS 1350 Clinical Education I
Lecture: 0 Lab: 0 Practica: 4 Total Credits: 4
This competency-based clinical experience introduces learning opportunities in diagnostic medical sonography at various clinical agencies. Student participation focuses on cognitive, affective, and psychomotor skills in patient care and assessment, and observing/performing sonographic procedures as presented in DMS 1310 under direct supervision. Classes occur in the hospital clinical setting. Students are exposed to actual patient contact while performing the sonographic examinations.
Prerequisite(s): Program Admission
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DMS 1410 Ultrasound Procedures II
Lecture: 4 Lab: 0 Practica: 0 Total Credits: 4
This course is a continuation of DMS 1310 and includes discussion of abdominal sonography, including anatomy, interpretation of normal and abnormal sonographic patterns, flow characteristics and waveforms, pathology, related clinical signs and symptoms, normal variants and clinical laboratory tests of the abdominal pelvic wall and cavities, adrenal, and gastrointestinal system.
Prerequisite(s): DMS 1310 with a grade of C or better
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DMS 1420 Physics & Instrumentation II
Lecture: 4 Lab: 0 Practica: 0 Total Credits: 4
This course continues to focus on propagation of ultrasound through tissue including harmonics, quality assurance, artifacts, and hemodynamics. Basic features of medical sonographic equipment, including operator controls, imaging processing, transducer technology, transducer types, and safety standards are also discussed.
Prerequisite(s): DMS 1320 with a grade of C or better
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DMS 1430 Scanning Lab II
Lecture: 0 Lab: 1 Practica: 0 Total Credits: 1
In this course, under direct supervision, the student simulates sonography examinations of anatomical structures identifying pathology and reinforcing scanning techniques in preparation for performing examinations of the abdominal pelvic wall and cavities, adrenals, and the gastrointestinal system in the clinical setting.
Prerequisite(s): DMS 1330 with a grade of C or better
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DMS 1440 Clinical Education II
Lecture: 0 Lab: 0 Practica: 6 Total Credits: 6
Clinical Education II is a competency-based clinical experience that intensifies the cognitive, affective, and psychomotor skill level of students in the performance of sonography procedures. Students continue all standard practices learned in the previous quarter and perform more complex examinations discussed in didactic courses. Students begin to master sonography equipment and complete sonography procedures under direct supervision.
Prerequisite(s): DMS 1340 with a grade of C or better
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DMS 1450 Clinical Education II
Lecture: 0 Lab: 0 Practica: 4 Total Credits: 4
Clinical Education II is a competency-based clinical experience that intensifies the cognitive, affective, and psychomotor skill level of students in the performance of sonography procedures. Students continue all standard practices learned in the previous quarter and perform more complex examinations discussed in didactic courses. Students begin to master sonography equipment and complete sonography procedures under direct supervision.
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DMS 1455 Clinical Education I
Lecture: 0 Lab: 0 Practica: 5 Total Credits: 5
Clinical Education I is a competency-based clinical experience that intensifies the cognitive, affective, and psychomotor skill level of students in the performance of sonography procedures. Students continue all standard practices learned in the previous quarter and perform more complex examinations discussed in didactic courses. Students begin to master sonography equipment and complete sonography procedures under direct supervision.
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DMS 2110 Ultrasound Procedures III
Lecture: 4 Lab: 0 Practica: 0 Total Credits: 4
This course introduces the student to accurate assessment and performance of the pelvis and non-gravid uterus. Anatomy, interpretation of normal and abnormal sonographic patterns, flow characteristics and waveforms, pathology, related clinical signs and symptoms, normal variants, and clinical laboratory tests related to the pelvis are also discussed.
Prerequisite(s): DMS 1410 with a grade of C or better
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DMS 2120 Scanning Lab III
Lecture: 0 Lab: 1 Practica: 0 Total Credits: 1
In this course, under direct supervision, the student simulates sonography examinations of anatomical structures identifying pathology and reinforcing scanning techniques in preparation for performing pelvic sonograms in the clinical setting. The students are also introduced to obstetrical sonography.
Prerequisite(s): DMS 1430 with a grade of C or better
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DMS 2140 Clinical Education III
Lecture: 0 Lab: 0 Practica: 6 Total Credits: 6
Clinical Education III is a competency-based clinical practicum performing pelvic, non-gravid uterine sonography. Students begin to master sonography equipment and complete pelvic examinations under direct supervision. Additionally, obstetrical sonography is introduced.
Prerequisite(s): DMS 1440 with a grade of C or better
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DMS 2150 Clinical Education III
Lecture: 0 Lab: 0 Practica: 7 Total Credits: 7
Clinical Education III is a competency-based clinical practicum performing pelvic, non-gravid uterine sonography. Students begin to master sonography equipment and complete pelvic examinations under direct supervision. Additionally, obstetrical sonography is introduced.
Prerequisite(s): DMS 1450 with a grade of C or better
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DMS 2155 Clinical Education II
Lecture: 0 Lab: 0 Practica: 8 Total Credits: 8
Clinical Education II is a competency-based clinical practicum performing pelvic, non-gravid uterine sonography. Students begin to master sonography equipment and complete pelvic examinations under direct supervision. Additionally, obstetrical sonography is introduced.
Prerequisite(s): DMS 1455 with a grade of C or better
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DMS 2210 Ultrasound Procedures IV
Lecture: 4 Lab: 0 Practica: 0 Total Credits: 4
This course introduces the student to accurate assessment and performance of obstetrical sonograms required by sonographers. Students gain comprehensive knowledge of the development and sonographic appearance of the fetal and extra-fetal anatomy throughout the gestational period and sonographic characteristics of normal and abnormal gravid uterine anatomy specific to each trimester.
Prerequisite(s): DMS 2110 with a grade of C or better
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DMS 2240 Clinical Education IV
Lecture: 0 Lab: 0 Practica: 6 Total Credits: 6
Clinical Education IV is a competency-based clinical practicum. Students perform obstetrical sonograms under direct supervision. Students gain comprehensive scanning knowledge of the development and sonographic appearance of the fetal and extra-fetal anatomy.
Prerequisite(s): DMS 2140 with a grade of C or better
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DMS 2250 Clinical Education IV
Lecture: 0 Lab: 0 Practica: 7 Total Credits: 7
Clinical Education IV is a competency-based clinical practicum. Students perform obstetrical sonograms under direct supervision. Students gain comprehensive scanning knowledge of the development and sonographic appearance of the fetal and extra-fetal anatomy.
Prerequisite(s): DMS 2150 with a grade of C or better
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DMS 2255 Clinical Education III
Lecture: 0 Lab: 0 Practica: 8 Total Credits: 8
Clinical Education III is a competency-based clinical practicum. Students perform obstetrical sonograms under direct supervision. Students gain comprehensive scanning knowledge of the development and sonographic appearance of the fetal and extra-fetal anatomy.
Prerequisite(s): DMS 2155 with a grade of C or better
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DMS 2310 Ultrasound Procedures V
Lecture: 4 Lab: 0 Practica: 0 Total Credits: 4
This course introduces the student to interventional, organ transplant, breast, neck, prostate, scrotum, musculoskeletal, and pediatric hip sonography. Anatomy, interpretation of normal and abnormal sonographic patterns, flow characteristics and waveforms, pathology, related clinical signs and symptoms, normal variants, and clinical laboratory tests are discussed.
Prerequisite(s): DMS 2210 with a grade of C or better
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DMS 2340 Clinical Education V
Lecture: 0 Lab: 0 Practica: 6 Total Credits: 6
Clinical Education V is the fifth in the series of courses for clinical education in the practice of diagnostic medical sonography. The student becomes a part of the health care team under the guidance of professional sonographers and performs complex sonography procedures under direct and in-direct supervision.
Prerequisite(s): DMS 2240 with a grade of C or better
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DMS 2350 Clinical Education V
Lecture: 0 Lab: 0 Practica: 7 Total Credits: 7
Clinical Education V is the fifth in the series of courses for clinical education in the practice of diagnostic medical sonography. The student becomes a part of the health care team under the guidance of professional sonographers and performs complex sonography procedures under direct and in-direct supervision.
Prerequisite(s): DMS 2250 with a grade of C or better
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DMS 2355 Clinical Education IV
Lecture: 0 Lab: 0 Practica: 8 Total Credits: 8
Clinical Education IV is the fourth in the series of courses for clinical education in the practice of diagnostic medical sonography. The student becomes a part of the health care team under the guidance of professional sonographers and performs complex sonography procedures under direct and in-direct supervision.
Prerequisite(s): DMS 2255 with a grade of C or better
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DMS 2410 Seminar
Lecture: 4 Lab: 0 Practica: 0 Total Credits: 4
This capstone course provides an integration of sonography theory and clinical practices and emphasizes professional development. A comprehensive review of the program curriculum to prepare students for certification and clinical practice in the field occurs.
Prerequisite(s): All DMS courses with the exception of DMS 2450 , all with grades of C or better
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DMS 2440 Clinical Education VI
Lecture: 0 Lab: 0 Practica: 6 Total Credits: 6
Clinical Education VI, the sixth and final in the series of clinical competency courses, requires independent student performance of sonography examinations with indirect supervision. Students, under the guidance of professionals, perform as competent individuals in diagnostic medical sonography. Students complete all competencies as mandated by the American Registry of Diagnostic Medical Sonographers in abdominal, obstetrical, and gynecological examinations.
Prerequisite(s): DMS 2340 with a grade of C or better
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DMS 2450 Clinical Education VI
Lecture: 0 Lab: 0 Practica: 7 Total Credits: 7
Clinical Education VI, the sixth and final in the series of clinical competency courses, requires independent student performance of sonography examinations with indirect supervision. Students, under the guidance of professionals, perform as competent individuals in diagnostic medical sonography. Students complete all competencies as mandated by the American Registry of Diagnostic Medical Sonographers in abdominal, obstetrical, and gynecological examinations.
Prerequisite(s): DMS 2350 with a grade of C or better
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DMS 2455 Clinical Education V
Lecture: 0 Lab: 0 Practica: 7 Total Credits: 7
Clinical Education V, the fifth and final in the series of clinical competency courses, requires independent student performance of sonography examinations with indirect supervision. Students, under the guidance of professionals, perform as competent individuals in diagnostic medical sonography. Students complete all competencies as mandated by the American Registry of Diagnostic Medical Sonographers in abdominal, obstetrical, and gynecological examinations.
Prerequisite(s): DMS 2355 with a grade of C or better
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DPT 6110 Physical Therapy Fundamentals
Lecture: 2 Lab: 2 Practica: 0 Total Credits: 4
This course introduces students to fundamental physical therapy skills used in patient management within various inpatient and outpatient settings. Content is introduced to provide a framework for patient management principles used throughout the curriculum and for immediate application to the physical therapy clinical environment. This course introduces patient positioning and handling skills including palpation, infection control, vital signs, body mechanics, patient transfers, and gait training. Students are introduced to the components of the basic examination as a function of the patient management process. Foundational knowledge and skills related to the medical interview, basic examination procedures, and clinical reasoning are developed and form the basis for systems-based patient management throughout the curriculum. Laboratory sessions focus on foundational psychomotor skills including, but not limited to, goniometry, range of motion, manual muscle testing and anthropometric measures to manage patients in various clinical settings. This course also includes foundations of defensible documentation with appropriate medical terminology, introduction to the medical interview, examination tests and measures, and measuring patient outcomes.
Prerequisite(s): Admission to Doctor of Physical Therapy Program
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DPT 6120 Physical Agents
Lecture: 1 Lab: 1 Practica: 0 Total Credits: 2
This course introduces students to the underlying principles and clinical applications of selected biophysical agents. Critical appraisal of current evidence examines the physical and physiological effects of these biophysical agents, with emphasis on pain, inflammation, tissue healing, and muscle re-education. Clinical decision-making emphasizes the appropriate selection of physical agents and treatment parameters based on patient indications and contraindications/precautions and desired treatment effects. Laboratory sessions develop skills for the safe and effective clinical application of these biophysical agents.
Prerequisite(s): Successful completion of Quarter 2 courses
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DPT 6130 Professional Competencies I
Lecture: 1 Lab: 0 Practica: 0 Total Credits: 1
The course is the first of a two-course series that introduces the student to the physical therapy profession and the professional roles and responsibilities of the physical therapist in healthcare. Special emphasis is placed on exploring constructs of cultural, emotional/social and caring competencies and associated behaviors of medical professionals. This course includes the study of emotional/social intelligence, concepts of flourishing, learning theories, learning styles, characteristics of learners through the lifespan, and literacy and communication issues for patients. These learning concepts prepare students for the DPT program curriculum and for clinical practice as life-long learners and educators in the physical therapy profession. Instruction includes essential technology competencies that help manage healthcare delivery in a constantly changing digital world. Software and mobile apps are leveraged to improve communication, facilitate learning, and enhance clinical practice and patient outcomes.
Prerequisite(s): Admission to Doctor of Physical Therapy Program
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DPT 6141 Evidence Based Practice I
Lecture: 1 Lab: 0 Practica: 0 Total Credits: 1
This course introduces general research principles and evidence-based practice. The student becomes oriented to the South College library system and technology resources and becomes familiar with high-level literature reviews. Students begin the formulation of clinical questions, methods of obtaining peer-reviewed research to those clinical questions, and how to critically appraise the evidence. The student is introduced to the following topics in the research process: basic research design, issues of reliability and validity, diagnostic utility of clinical tests, and fundamentals of conducting a literature review. This course provides a framework for assignments in subsequent courses in which evidence-based foundations of physical therapy are presented.
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DPT 6150 Human Physiology
Lecture: 3 Lab: 0 Practica: 0 Total Credits: 3
Medical physiology deals with the functioning of the human body. Ability of the body to maintain constancy of the internal environment is termed homeostasis. Restoring the normal physiology is the essence of medical management. This course emphasizes the physiology and pathophysiology of the cellular, integumentary, neuromuscular, cardiovascular, and pulmonary systems. Function and tissue mechanics of each system are presented, with specific emphasis on changes across the lifespan and adaptations to activity/exercise and disease. A brief systems review of the renal, endocrine, and immune systems will focus the student on physiologic processes relevant to physical therapy practice. Students will be able to apply this foundational knowledge about human function to future coursework and patients, enabling students to make quantitative and qualitative observations and decisions regarding patient presentations and clinical management.
Prerequisite(s): Admission to Doctor of Physical Therapy Program
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DPT 6160 Human Anatomy I
Lecture: 3 Lab: 1 Practica: 0 Total Credits: 4
This course is the first of a two-course series that provides the physical therapy student with foundational knowledge of human gross anatomy and neuroanatomy. Instruction includes focused clinical application of human embryology, histology, and functional anatomy to consider patient problems relevant to the physical therapist. Key emphasis is on a detailed study of the musculoskeletal and peripheral nervous system of the spine, thorax, abdomen, pelvis and lower limb to include associated osseous, muscular, nervous and vascular structures. Neuroanatomy content explores the gross structure and function of the nervous system in general and the spinal cord and peripheral nervous system more specifically. This course consists of lecture related to the static and dynamic application of applied anatomy along with heavy use of three-dimensional anatomy software, medical imaging, living/surface anatomy, and synthetic human anatomical models in lab sessions for hands on application and learning.
Prerequisite(s): Admission to Doctor of Physical Therapy Program
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DPT 6210 Musculoskeletal Practice I
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This is the first course in a four-course series introducing students to the clinical application of human biomechanics, functional movement, and examination principles. These principles are applied to musculoskeletal dysfunction of the lumbar spine, pelvis, and hip regions in this course, but also serve as a foundation for future courses in the management of patients with other system- or lifespan-related disorders. Evidence-based practice in the management of patients with musculoskeletal lumbo-pelvic and hip conditions is emphasized in the remainder of this course. Students concentrate on the application of psychomotor skills related to regional palpation, examination, and evidence-based interventions emphasizing patient education, manual therapy, and therapeutic exercise. Instruction on differential diagnosis and determining primary and secondary hypotheses is completed. Foundational elements of patient management are emphasized that use patient presentation and clinical evidence to classify patients, establish prognosis and functional goals, and develop comprehensive intervention programs related to the lumbo-pelvic and hip regions. A patient-centered approach to health and disease is presented to help students recognize conditions both at risk for advanced chronicity and outside the scope of physical therapy.
Prerequisite(s): Successful completion of Quarter 1 courses
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DPT 6220 Musculoskeletal Practice II
Lecture: 2 Lab: 2 Practica: 0 Total Credits: 4
This is the second course in a four-course series introducing students to the clinical application of human biomechanics, functional movement, and examination principles. These principles are applied to lower extremity musculoskeletal dysfunction in this course, but also serve as a foundation for future courses in the management of patients with other system- or lifespan-related disorders. Students advance the application of psychomotor skills related to palpation, examination, and evidence-based interventions emphasizing patient education, manual therapy, and therapeutic exercise. Instruction on differential diagnosis and determining primary and secondary hypotheses is directed. Foundational elements of patient management are emphasized that use patient presentation and clinical evidence to classify patients, establish prognosis and functional goals, and develop comprehensive intervention programs related to the lower extremity. A patient-centered approach to health and disease is presented to help students recognize conditions both at risk for advanced chronicity and outside the scope of physical therapy.
Prerequisite(s): Successful completion of Quarter 1 courses
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DPT 6230 Evidence-Based Practice II
Lecture: 2 Lab: 0 Practica: 0 Total Credits: 2
This course introduces the specific elements of applied research design and statistics. Students become familiar with relevant research statistics to become intelligent consumers of scientific literature. Items related to measurement, research design, statistical analysis, critical inquiry, and strength of evidence are presented. These concepts are applied in the critical evaluation of published physical therapy literature. This course provides additional framework for subsequent courses in which scientific foundations of physical therapy practice are presented.
Prerequisite(s): Successful completion of Quarter 2 courses
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DPT 6240 Human Anatomy II
Lecture: 3 Lab: 1 Practica: 0 Total Credits: 4
The second of a two-course series completes the study of foundational human gross anatomy and neuroanatomy for the physical therapy student. Instruction continues to focus on the clinical application of functional anatomy to consider patient problems relevant to the physical therapist. Key emphasis in this course is a detailed study of the musculoskeletal and peripheral nervous system of the cervical and thoracic spines, thorax, shoulder, arm, elbow, forearm and hand, to include associated osseous, muscular, nervous and vascular structures. A discussion of facial and temporomandibular joint structures is also provided. Neuroanatomy content provides an in-depth study of the brain, cranial nerves, and nervous system. Gross anatomy of additional body systems including the circulatory, respiratory, digestive, endocrine, urogenital, and integumentary systems will be discussed with regard to their relevance to physical therapist practice. This course consists of lecture related to the static and dynamic application of applied anatomy along with heavy use of three-dimensional anatomy software, medical imaging, living/surface anatomy, and synthetic human anatomical models in lab sessions for hands on application and learning.
Prerequisite(s): Successful completion of Quarter 1 courses
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