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Course Criteria
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3.00 Credits
This course focuses on terms and concepts of transition educational programs for individuals with disabilities. Will emphasize training for inclusion in communities including vocational, domestic/self-care, and leisure/recreational skills. Prerequisite: Admission to Teacher Education.
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3.00 Credits
Focuses on the theories and methods for promoting behavior change for students with emotional/behavioral disorders. This course will address current research and best practices in behavior interventions and support. Prerequisite: Departmental approval.
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3.00 Credits
This seminar course provides an opportunity to explore relevant research and best practice in critical issues in autism. Topics explored will include educational programming, transition, social skills, working with parents, and the communication process related to working with families of children with autism. Restricted to Special Education graduate students.
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3.00 Credits
This course provides an overview of the foundations of language acquisition for understanding language and communication problems in students with autism spectrum disorders. Formal and informal assessment and intervention techniques/strategies for facilitating language and communication are emphasized. Additionally, assistive technology in fostering communication will be explored.
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3.00 Credits
This course will provide a comprehensive overview of the developmental aspects of autism, including cognitive, social, behavioral, and physiological perspectives. This course will also provide professionals with the essential knowledge to work effectively with community service providers. Issues related to diagnosis, etiologies, and characteristics of autism across the lifespan will be presented. Current ?hot topics? in autism will also be discussed, including impact of diet and childhood immunizations.
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Credits
Intense, interactive learning assistance for a specific course. Assistance includes help with lecture notes, criitcal textbook reading, tutoring for assigned papers, preparation for exams including reviews, coping with test anxiety, and test-taking strategies.
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4.00 Credits
An elementary introduction to probability, common probability distributions such as the bionomial and Gaussian distributions, exploratory analysis of data, hypothesis testing, confidence intervals, contingency table analysis and chi-square goodness-of-fit, simple linear regression, one-way ANOVA, and Bonferroni correction for multiple comparisons. A statistical software package will be used for analysis of data and simulations to illustrate concepts. Prerequisites: MATH 1320 or MATH 1508 or MATH 1411 or TCCN 1314 or an equivalent course, with a grade of ?C? or better.
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3.00 Credits
Probability and Statistics for Computer Scientists (3-0)
By the end of this course, students should be able to read a word problem, realize the uncertainty that is involved in a situation described, select a suitable probability model, estimate and test its parameters on the basis of real data, compute probabilities of interesting events, and make appropriate conclusions. This course covers theory and applications of probability models, random variables, discrete and continuous probability distributions, joint and conditional distributions, sampling distributions, central limit theorem, hypothesis testing, confidence intervals, and exposure to simple linear regression. Time-to-failure probability models are considered. Students may not receive credit for both STAT 3320 and STAT 3330. Prerequisite: MATH 1312 with a grade of C or higher.
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3.00 Credits
A review of statistical inference and simple linear regression. An introduction to multiple linear regression and analysis of variance using normality assumption for common experimental designs, residual diagnostics and remedial measures for violation of assumptions. In-depth treatment of the concepts of type-I and type-II error rates, power, hypothesis testing and inference. Prerequisite: STAT 2480 or STAT 3330 with a grade of ?C? or better.
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3.00 Credits
This course is offered through the UT Online Consortium.
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