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Course Criteria
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1.00 Credits
Enhances and develops learning strategies for creating academic success. Topics will include but not be limited to: metacognition, knowledge construction, mindset, collaborative learning, and learning routines. Students will have the opportunity to apply theoretical concepts through the use of learning strategies to enhance their current course work.
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1.00 Credits
Assists in the development of essential skills necessary for academic, personal, and professional success. The focus of the course is identification and minimization of barriers that impede individual student achievement. Through self-assessment, exploration, and reflection, students are encouraged to evolve in personal responsibility, self-motivation, self-management, and critical thinking. This course is designed as a positive intervention for students experiencing academic difficulties.
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0.00 Credits
Designed for students working as peer educators in academic support programs and aligning with Level 1 tutor certification, this course introduces students to the roles and responsibilities of peer educators in a college setting. It will overview effective strategies for fostering independence, stimulating active learning and critical thinking, and assessing student learning. Topics related to understanding ourselves and others as learners, building confidence, and working in a diverse environment will also be highlighted.
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1.00 Credits
Designed for students working as peer educators in academic support programs and aligning with Level 1 tutor certification, this course introduces students to the roles and responsibilities of peer educators in a college setting. It will overview effective strategies for fostering independence, stimulating active learning and critical thinking, and assessing student learning. Topics related to understanding ourselves and others as learners, building confidence, and working in a diverse environment will also be highlighted.
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1.00 Credits
Allows students opportunities to reflect on prior experiences supporting the learning of peers and apply new concepts to their work as peer educators in Commonwealth University's Learning Centers. Topics include cognitive processes for constructing knowledge, learning center andragogy/pedagogy, affective domain factors for fostering learning, and developing multicultural competence to support learners. Topics are designed for alignment with Level 2 College Reading and Learning Association (CRLA) tutor training program certification.
Prerequisite:
SSDV280 OR SSDV281
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3.00 Credits
Provides an introduction to descriptive and inferential statistics. Topics covered include numerical and graphical summary procedures, basic probability concepts, random variables and distributions, the Central Limit Theorem, confidence intervals, and hypothesis testing.
Prerequisite:
AND OR OR OR OR
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5.00 Credits
Provides an introduction to descriptive and inferential statistics. Topics covered include numerical and graphical summary procedures, basic probability concepts, random variables and distributions, the Central Limit Theorem, confidence intervals, and hypothesis testing. The course contains two credits of extra support for students who did not place into Introduction to Statistics (STA 141). Completion of this course will allow the student to take any class with Introduction to Statistics (STA 141) as a prerequisite.
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3.00 Credits
Presents common statistical techniques with an emphasis on applications. Topics include confidence intervals, hypothesis testing, regression analysis and analysis of variance. The use of statistical software is encouraged.
Prerequisite:
STAT141 OR STAT241
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3.00 Credits
An introduction to the basic concepts of probability including sample spaces, events, independence, conditional probability, random variables, special probability distributions, point estimation, confidence intervals, and elementary statistical inference.
Prerequisite:
MATH170 AND MATH250
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3.00 Credits
Provides an introduction to the most widely used statistical software packages in government and industry. Students will gain practical experience by solving real-world statistical problems encountered by various government agencies and private companies. Graphical and numerical descriptive procedures, and inferential statistical techniques will be discussed.
Prerequisite:
STAT240 AND DATS110 OR STAT141
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