This course equips students with the essential accounting knowledge and analytical tools needed to make informed decisions in business settings. The course focuses on understanding financial and managerial accounting concepts and their application in decision-making processes. Students will learn how to interpret financial statements, evaluate performance metrics, and utilize ratio analysis to make strategic business decisions. Emphasis will be placed on cost behavior, ethics and performance measurement. The course is designed to develop practical skills for assessing financial risks, maximizing profits, and achieving organizational goals through effective accounting practices.
By the end of this course, students will be able to:
Academic Engagement Quiz
A brief quiz to affirm understanding of course structure and expectations.
Give Help/Get Help Discussions
These are weekly optional open-ended discussions to be used as a space to connect with classmates regarding questions or emerging concepts.
Extra Credit Discussion
In this discussion, you will synthesize what you have learned from the first four weeks of the course to determine what types of decisions and data companies may need to consider. This extra credit activity is worth 20 points towards the Real World Perspectives Project.
Smart Book Reading
Each chapter will have assigned reading and related check questions. Refer to the Smart Book Tutorial for guidance on how this is structured with in your McGraw Hill text. Successful completion of the reading will allow you to complete the Real World Perspectives Project, Data Visualization, and Application Problems using Excel.
Real World Perspectives Project
This project is to be completed through McGraw Hill Connect. All chapters will include problems using the annual reports from two companies (American Eagle Outfitters and The Buckle). You will apply the concepts from the chapter utilizing real annual reports and answering relevant questions. Links to the annual reports are embedded in the problems.
Data Visualization and Tableau Dashboards
Almost all chapters will include problems using data visualization and tableau dashboards with questions regarding data interpretation and analysis.
Application Problems within Text and Excel
Excel application problems with guided video support will be completed for multiple chapters. Some chapters will also have application problems outside of Excel.
Final Analysis Reflection
Final reflection and analysis of the work done with annual reports for American Eagle and The Buckle. This assignment looks into the “why” behind data and decision making.
Your grade in this course will be determined by the following criteria:
Assignment | Percentage Value |
---|---|
Smart Book Reading Assignments with integrated Knowledge Check Questions: Each chapter will have assigned reading and related check questions. Refer to the Smart Book Tutorial for guidance on how this is structured with in your McGraw Text. Successful completion of the reading will allow you to complete the Real World Perspectives Project, Data Visualization, and Application Problems using Excel. | 25% |
Real World Perspectives Project: This project is to be completed on-line at McGraw Hill Connect. All chapters will include problems using the annual reports from two companies (American Eagle Outfitters and The Buckle). You will apply the concepts from the chapter utilizing real annual reports and answering relevant questions. Links to the annual reports are embedded in the problems. | 30% |
Data Visualization/Dashboard Problems using Tableau: Almost all chapters will include problems using data visualization and tableau dashboards with questions regarding data interpretation. | 20% |
Application Problems within Text and Excel: Excel application problems with guided video support will be completed for multiple chapters. Some chapters will also have application problems outside of Excel. | 20% |
Real World Perspectives Problem Reflections/Final Analysis (Chapter 12) | 5% |
Total | 100% |
Grade | Points Grade | Point Average (GPA) |
A | 94 – 100% | 4.00 |
A- | 90 – 93% | 3.75 |
B+ | 87 – 89% | 3.50 |
B | 84 – 86% | 3.00 |
B- | 80 – 83% | 2.75 |
C+ | 77 – 79% | 2.50 |
C | 74 – 76% | 2.00 |
C- | 70 – 73% | 1.75 |
D | 64 – 69% | 1.00 |
F | 00 – 63% | 0.00 |
Week 1: Wednesday – Sunday
Week 2: Monday – Sunday
Week 3: Monday – Sunday
Week 4: Monday – Sunday
Week 5: Monday – Sunday
Week 6: Monday – Sunday
Week 7: Monday – Sunday
Week 8: Monday – Friday
Week 3:
Week 4:
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Questions? Please reach out to your student success team member.
UNE's Student Academic Success Center (SASC) offers a range of free online services to support your academic achievement. Writing support, ESOL support, study strategy and learning style consultations, as well as downloadable resources, are available to all matriculating students. To make an appointment for any of these services, go to une.tutortrac.com. For more information and to view and download writing and studying resources, please visit:
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The Career Ready Program provides tools and resources to help students explore and hone in on their career goals, search for jobs, create and improve professional documents, build professional network, learn interview skills, grow as a professional, and more. Come back often, at any time, as you move through your journey from career readiness as a student to career growth, satisfaction, and success as alumni.
A grade of 80% or higher is required to pass the course. A grade lower than 80% will result in you having to repeat the course. Obtaining two "Fs" in the program will result in dismissal from the program.
Generative AI (GenAI) applications (like ChatGPT) have proven to be powerful and effective tools, and students are encouraged to become familiar with and use them. However, as with any tool, students must use GenAI in ways that support their roles as learners and professionals. The use of AI in academic work falls under our academic integrity agreement, ensuring that all AI applications are used in alignment with our commitment to honest and responsible learning.
In situations in which AI tools are used as a resource, students must:
As GenAI continues to evolve, students should also stay abreast of best practices and changing risks and benefits.
Please note that individual courses or assignments may have specific guidelines regarding AI use — please refer to your faculty’s directions or assignment instructions for details.
The Student Orientation has a module "Artificial Intelligence Literacy for Students", please refer to this module for more information about navigating the use of AI.
UNE uses Turnitin to help deter plagiarism and to foster the proper attribution of sources. Turnitin provides comparative reports for submitted assignments that reflect similarities in other written works. This can include, but is not limited to, previously submitted assignments, internet articles, research journals, and academic databases.
Make sure to cite your sources appropriately as well as use your own words in synthesizing information from published literature.
You can learn more about Turnitin in the guide on how to navigate your Similarity Report.
Please review the technical requirements for UNE Online Graduate Programs: Technical Requirements.
Students are responsible for submitting work by the date indicated in Brightspace.
Please make every effort ahead of time to contact your instructor and your enrollment and retention counselor if you are not able to meet an assignment deadline. Arrangements for extenuating circumstances may be considered by faculty.
The policies contained within this document apply to all students at the University of New England. It is each student's responsibility to know the contents of this handbook.
Please contact your Enrollment and Retention Counselor if you are considering dropping or withdrawing from a course. Tuition charges may still apply. Students are strongly urged to consult with Student Financial Services, as course withdrawals may affect financial aid or Veterans benefits.
Students taking online graduate courses through the College of Business will be administratively dropped for non-participation if a graded assignment/discussion post is not submitted before Sunday at 11:59 p.m. ET of the first week. Reinstatement is at the purview of the Dean’s Office.
The University of New England values academic integrity in all aspects of the educational experience. Academic dishonesty in any form undermines this standard and devalues the original contributions of others. It is the responsibility of all members of the University community to actively uphold the integrity of the academy; failure to act, for any reason, is not acceptable. For information about plagiarism and academic misconduct, please visit UNE Plagiarism Policies.
Academic dishonesty includes, but is not limited to the following: