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Course Search Results

  • 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.
  • 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.
  • 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.
  • 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 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 3.00 Credits

    Provides an introduction to the basic principles and techniques of experimental design and analysis of experiments. Topics covered include completely randomized designs, complete and incomplete block designs, factorial and fractional factorial designs, confounding and split-plot design.
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