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Course Criteria
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3.00 Credits
Psychological factors related to learning processes in professional and higher education. Emphasis on the role of communication skills in learning settings, gender influences on learning, objectives setting and course design, stimulation of higher-level thinking, motivation, and retention. Prerequisite: AHCJ 409.
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4.00 Credits
Physiology of the human body, including cellular, neuromuscular, cardiovascular, respiratory, gastrointestinal, renal, and endocrine physiology.
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3.00 Credits
Detailed study of neuromuscular physiology. Prerequisite: AHCJ 418.
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2.00 Credits
Psychological reactions to illness or disability. Methods of dealing with these reactions considered with reference to the clinical situation. Seminar approach to professional responsibilities for health care.
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2.00 Credits
Hands-on instruction in Word, Excel, and Power-Point. Lectures, laboratory assignments, quizzes, projects, and a practical examination. (Course not taught every quarter.)
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2.00 Credits
Theories and steps of database development using Microsoft Access. Topics include but are not limited to: relationships, form building, advanced queries, reporting, and macros. Requires a project creating a basic medical-information database from scratch.
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2.00 Credits
Computer systems and applications designed to meet the specific professional needs and interests of the student. Emphasizes the use of Microsoft Access with health care data and systems design, as needed. Prerequisite: AHCJ 432; or consent of instructor.
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4.00 Credits
Basic anatomy and function of the central, peripheral, and autonomic nervous systems and related structures. Gross anatomy of the brain and spinal cord. Functional consideration of cranial nerves, tracks, and nuclei of major systems. Lecture, slides, and laboratory with specimens.
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2.00 Credits
Studies neuroanatomical systems, structures, and pathways, with application to lesions of the human nervous system.
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3.00 Credits
Fundamental procedures of analyzing and interpreting data. Sampling, probability, binomial distribution, normal distribution, sampling distributions and standard error, confidence intervals hypothesis testing, t-tests, chi-square, correlation, and regression. Introduces one- and two-way ANOVA and nonparametric statistics. Interprets computer output and use of the SPSS statistical package for data analysis. Determines validity and reliability of research instruments.
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