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Course Criteria
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2.00 Credits
Students will participate, under supervision, in the hearing screening of children and adults.
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4.00 Credits
Outlines causation, prevention, evaluation, and management procedures for addressing developmental language disorders in infants, toddlers, and preschool children. Formal and informal assessment procedures will be covered. Uses and misuses of standardized tests will be discussed. Models of language disorders will be compared and contrasted. Speech sample analysis procedures will be studied. Pragmatic intervention techniques will be stressed. Relations between language and phonology and multicultural issues will also be included. Family-centered practice techniques will be emphasized. Corequisite: SpHr 551.
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10.00 Credits
Practicum in speech-language pathology in the public school setting under the direction of a supervising speech-language clinician (ASHA CCC-SP). Students participate in the following activities: diagnosis and evaluation; section of caseload and scheduling; management of an entire caseload; maintaining appropriate records; handling both incoming and outgoing referrals; and parent/teacher/staff conferences. Concurrent registration in SpHr 592 required. Admission by approved application only, one full academic term in advance.
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2.00 Credits
Survey of current methods and materials available to and appropriate for the public school speech-language pathologist. Specific problems encountered in the practicum experience are utilized as topics of discussion.
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4.00 Credits
On-line course in exploration of data analysis and basic statistical topics. May include descriptive statistics, graphical and tabular summaries, computer software, confidence intervals, correlation and regression.
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4.00 Credits
A basic course in statistical analysis including presentation of data probability, probability distributions, sampling distributions, estimation, tests of significance, experimental design and analysis of variance, regression and correlation, nonparametric statistics, selected topics, applications, and use of statistical computer packages. A broad nontechnical survey designed primarily for nonmath students who need to utilize the subject in their own fields. Not approved for major credit. Courses must be taken in sequence.
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4.00 Credits
A basic course in statistical analysis including presentation of data probability, probability distributions, sampling distributions, estimation, tests of significance, experimental design and analysis of variance, regression and correlation, nonparametric statistics, selected topics, applications, and use of statistical computer packages. A broad nontechnical survey designed primarily for nonmath students who need to utilize the subject in their own fields. Not approved for major credit. Courses must be taken in sequence.
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4.00 Credits
An introduction to techniques of applied probability, statistics, and data analysis. Stat 451/551: sample spaces, probability and counting measures, discrete and continuous probability models, sampling theory, and computer applications. .
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3.00 Credits
Theory of probability, distributions of random variables, central limit theorem, sampling distributions, point and interval estimation, tests of hypotheses, analysis of variance. Courses must be taken in sequence.
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3.00 Credits
Basic concepts of regression analysis, matrix approach to linear regression selecting the “best” regression equation, and multiple regression. Computational algorithms and computer software regression packages. Applications in science, engineering, and business.
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