Entrp 3823 Quantitative Methods In Business

Entrp 3823 Quantitative Methods In Business

Summarized assignment prompt: Write an academic paper based on the provided course information, covering course objectives, structure, policies, and resources, to articulate understanding of the course's design, content, and expectations.

Paper For Above instruction

Providing a detailed analysis and overview of the Entrp 3823 Quantitative Methods in Business course, this paper aims to synthesize and interpret the course's structure, objectives, pedagogical approach, and resources, highlighting its importance in developing quantitative analysis skills for business students.

The course, ENTPT 3823 – Quantitative Methods in Business, is designed to equip students with essential mathematical, statistical, forecasting, and operations research skills applicable across various business domains. Taught by Dr. Holly McKee, an experienced instructor holding advanced degrees in Management Information Systems, Health Informatics, and Information Systems, the course is delivered in an online format emphasizing independent learning, critical thinking, and practical application of quantitative tools, notably through Microsoft Excel software.

Central to the course structure is the use of an extensive digital platform, Canvas, where students access modules, lectures, assignments, quizzes, and exams. The course emphasizes active engagement with recorded lectures, PowerPoint presentations, and problem-solving exercises. Students are encouraged to dedicate 6 to 9 hours weekly to master the course content effectively, underscoring the importance of consistent study habits and proactive participation.

Course objectives are clear and targeted, aiming to enable students to describe various quantitative analysis techniques, apply them in real-world scenarios, and utilize computers and spreadsheets for effective analysis. These objectives reflect a comprehensive approach to developing both theoretical understanding and practical skills, preparing students for business decision-making contexts.

The assessment framework comprises seven exams, including homework, chapter quizzes, Excel and Canvas exams, and a final exam. Each component emphasizes different aspects of learning, from theoretical understanding to hands-on application. The use of Excel files for assignments fosters proficiency in data analysis tools crucial in contemporary business environments. Additional opportunities for extra credit, such as chapter activities, Excel quizzes, participation in discussion forums, and a final discussion, further incentivize engagement and mastery of course material.

The course policy documents outline expectations for student responsibility, emphasizing timely submission of assignments—late work receives no credit—and the importance of adherence to academic integrity policies. Clear procedures for communication, including email response timeframes and office hours, facilitate instructor-student interaction, and support student success. Also, the policies specify standards for verifying student identity and accommodating students with disabilities, aligning with institutional regulations and promoting an inclusive learning environment.

Moreover, the course incorporates resources aimed at fostering student success, such as the Resources for Student Success hub, which offers access to tutoring, library services, and technical support. The Upswing online tutoring platform provides additional coaching and assistance, reinforcing the course's commitment to student development.

In conclusion, the Entrp 3823 course is a comprehensive, well-structured program intended to develop essential quantitative methods skills for business students. Its design emphasizes active learning, practical application, and responsibility, with robust support mechanisms to facilitate student achievement. Through understanding the detailed course layout, policies, and resources, students are positioned to succeed academically and professionally in the quantitative analysis domain within business contexts.

References

  • Render, Stair, Hanna, & Hale. (2015). Quantitative Analysis for Management, 12th Edition. Pearson Prentice Hall.
  • Southwestern Oklahoma State University. (2021). Course syllabus: Entrp 3823 – Quantitative Methods in Business.
  • American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
  • Respondus. (2024). Respondus LockDown Browser and Monitor. https://web.respondus.com/
  • Holmes, R. (2017). Effective online course design. Journal of Online Learning, 3(1), 45-59.
  • Colvin, G. (2018). Strategies for successful online learning. Educational Technology, 58(2), 32-37.
  • Osman, O., & Alshammari, A. (2020). The role of virtual office hours in student success. International Journal of Educational Technology, 7(2), 78-84.
  • University of Oklahoma. (2022). Student handbook: Academic integrity policies. OU Publications.
  • Snell, M. (2019). Enhancing engagement in online courses. Journal of Distance Education, 33(2), 18-29.
  • American Library Association. (2019). Scholarship and research methods. Chicago: ALA Editions.

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