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Course Criteria
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3.00 Credits
Prerequisite(s): [(SPAN 3030 and SPAN 3040) or SPAN 3050] and University Advanced Standing. Provides a comprehensive introduction and overview of the different areas of Spanish Linguistics. Designed for students with a focus in Pedagogy, Business Spanish, Translation, Spanish for the Professions or Literature and Culture. Focuses on the core concepts of the various sub-fields of linguistics applied to Spanish: Phonetics and Phonology, Morphology, Syntax, Semantics, Sociolinguistics, the History of the Language, Dialectology and Pragmatics.
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3.00 Credits
Prerequisite(s): SPAN 3610 or SPAN 3620 or SPAN 3630 or SPAN 3640 and University Advanced Standing. Addresses key texts representative of the development of genres, themes, or individual authors' works. Engages students in critical textual analysis. May be repeated for a maximum of six credits toward graduation with different topics.
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1.00 - 3.00 Credits
Prerequisite(s): (SPAN 3050 or departmental approval) and University Advanced Standing. Presents selected topics in Hispanic Studies. Reflects the interdisciplinary nature of the Hispanic Studies field. May be repeated for a maximum of 6 credits toward graduation with different topics.
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3.00 Credits
Prerequisite(s): (Spanish 4050 and 15 credits of upper-division Spanish courses) or instructor approval; University Advanced Standing. Engages students in independent, directed research and writing. Encourages further exploration of topics covered during courses in the major program through advanced research methods and peer review of others' work. Requires public exposition of research findings in Spanish.
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3.00 Credits
Prerequisite(s): One of the following: MAT 1010 or MAT 1015 with a grade of C or better within the past two years; an ACT mathematics score of 23 (assuming the test has been taken within the last two years); appropriate placement by the Accuplacer test score. A quantitative literacy course with a statistical theme. Includes descriptive statistics, sampling, and inferential methods. Emphasizes problem solving and critical thinking.. Canvas Course Mat $87/Macmillan applies.
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5.00 Credits
Prerequisite(s): One of the following: MAT 1010 or MAT 1015 with a grade of C or better within the past two years; an ACT mathematics score of 23 (assuming the test has been taken within the last two years); appropriate placement by the Accuplacer test score. A quantitative literacy course with a statistical theme. Includes descriptive statistics, sampling, and inferential methods. Emphasizes problem solving and critical thinking.. Canvas Course Mat $87/Macmillan applies.
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4.00 Credits
Prerequisite(s): Within the past two years, MATH 1050 or MATH 1055 or MATH 1080 with a grade of C or higher or appropriate math placement test score.. Includes summarizing data, measures of central location, measures of variation, probability, mathematical expectation, probability distributions, sampling and sampling distributions, estimation, hypothesis testing, analysis of variance, regression analysis, and correlation.. Canvas Course Mats of $66/Wiley applies.
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4.00 Credits
Prerequisite(s): Within the past two years, MATH 1050 or MATH 1055 or MATH 1080 with a grade of C or higher or appropriate math placement test score.. Is an introductory statistics course for statistics majors. Applies discrete and continuous probability distributions to real data sets. Teaches confidence intervals and hypothesis testing for both one and two sample problems. Covers introductory topics in experimental design, linear regression, bootstrapping, and categorical data analysis.. Canvas Course Mats of $66/Wiley applies.
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1.00 Credits
Pre- or Corequisite(s): STAT 2040 or STAT 2050 with a grade of C or higher. Familiarizes students with the SAS statistical software package. Teaches how to organize, input data, and be able to use reference books to figure out the appropriate way to run the analysis needed using SAS.
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3.00 Credits
Prerequisite(s): STAT 2040 or STAT 2050, and University Advanced Standing. Provides students with the mathematical background to complete upper division courses in applied statistical methods. Includes topics from calculus, linear algebra, mathematical statistics and introductory probability.
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