Elem Statistics

Descriptive statistics, elements of probability theory, and basic ideas of statistical inference. Topics include frequency distributions, measures of central tendency and dispersion, commonly occurring distributions (binomial, normal, etc.), estimation, and testing of hypotheses. Prerequisite: high school algebra. (Gen.Ed. R2)

[Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

Elem Statistics

Descriptive statistics, elements of probability theory, and basic ideas of statistical inference. Topics include frequency distributions, measures of central tendency and dispersion, commonly occurring distributions (binomial, normal, etc.), estimation, and testing of hypotheses. Prerequisite: high school algebra. (Gen.Ed. R2)

[Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

Elem Statistics

Descriptive statistics, elements of probability theory, and basic ideas of statistical inference. Topics include frequency distributions, measures of central tendency and dispersion, commonly occurring distributions (binomial, normal, etc.), estimation, and testing of hypotheses. Prerequisite: high school algebra. (Gen.Ed. R2)

[Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

Elem Statistics

Descriptive statistics, elements of probability theory, and basic ideas of statistical inference. Topics include frequency distributions, measures of central tendency and dispersion, commonly occurring distributions (binomial, normal, etc.), estimation, and testing of hypotheses. Prerequisite: high school algebra. (Gen.Ed. R2)

[Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

Elem Statistics

Descriptive statistics, elements of probability theory, and basic ideas of statistical inference. Topics include frequency distributions, measures of central tendency and dispersion, commonly occurring distributions (binomial, normal, etc.), estimation, and testing of hypotheses. Prerequisite: high school algebra. (Gen.Ed. R2)

[Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

S-Neuroplasticity

The potential plasticity of the nervous system has therapeutic implications that have, in recent years, been marketed to help people "train their brains" to improve cognitive function. This class will discuss the biological mechanisms of neural plasticity, as well as the theory and methodology of intervention- or training-based neuroscience research. Most importantly, we will assess the validity of interventions designed to improve brain functioning by critically evaluating the primary research articles that are the basis of this rapidly growing field.

S-Junior Year Writing

This is a writing-intensive course that fulfills the University's Junior Writing requirement. Each section focuses on a particular aspect of current issues in psychology. The topic is selected based on the expertise of the teaching staff. All sections share similar writing assignments, ranging from in-class short writing assignments to lengthy papers that include literature review. Classes emphasize discussion and extensive peer review of written work. Topics for individual sections will not be available until shortly before the start of the semester.

S-AdvncingDvrsty/Resrch&Prctce

This weekly seminar will be focused on increasing students? knowledge base about current psychological topics related to diversity in research and applied settings and fostering students? professional development (e.g., providing education about different career paths and graduate school) to prepare students for future careers in psychology with a strong foundation in diversity-related topics.
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