This Week We Start Excel You Need To Read Chapters 1 And 2

This Week We Start Excel You Need To Readchapters 1 And 2in The Te

This week, students are introduced to Excel by reading Chapters 1 and 2 in the assigned textbook. They are expected to work through these chapters independently, completing all exercises, particularly focusing on formulas, before attempting the assignment. A significant emphasis is placed on understanding Excel formulas and functions, which will be heavily tested on the upcoming exam. Practical understanding is reinforced through hands-on exercises embedded within the chapters, supplementing the coursework beyond the MYITLAB training modules.

Students are required to submit the Excel Chapter 1 Grader Project, which is located within the Week 5 folder in MYITLAB. Prior to submission, students should thoroughly review the chapters and work through all related exercises. Equally important, students must complete the Word exam in MYITLAB, scheduled to take place from Monday, April 14th at 6 PM Central time until Wednesday, April 16th at 6 PM Central time. The exam includes simulations and conceptual questions covering Word Chapters 1-4. Preparation should include completing all Word training modules and reading the relevant chapters, as these are critical for success. The exam is timed at 1 hour, with attempts limited to two for this first exam, and must be completed within the designated schedule unless a documented university excuse is provided.

Students are reminded that technical issues or forgetting to attempt the exam on time do not constitute valid excuses. The exam will be accessible via the Exams folder in MYITLAB, with the password "project 5." It is advisable not to wait until the last hour to attempt the exam to avoid potential technical difficulties. The exam includes multiple attempts per question, with up to 4 tries allowed for each, although only two attempts are permitted for the first exam attempt. The training modules are intended for practice; students are encouraged to repeat questions until they are confident without hints or 'Show Me' features. The exam will automatically submit if the time expires.

Additionally, the instructor will post grades for Word training and exams as completed. No homework assignments should be emailed for grading, as all submissions are to be made online through MYITLAB. All coursework, including assignments and exams, is due by 11:55 PM each Saturday, with late submissions penalized by 5 points per day. The instructor plans to grade Word assignments by midweek. Students should plan their schedule accordingly to ensure timely submission and avoid penalties.

Paper For Above instruction

This week marks the beginning of the practical application of Excel skills in the curriculum. The primary focus is on foundational knowledge as presented in Chapters 1 and 2 of the textbook. These chapters introduce students to the basic functionalities and capabilities of Excel, emphasizing the importance of understanding formulas and functions, which form the backbone of working efficiently within the software. The hands-on exercises integrated into the chapters serve as vital practice tools, reinforcing theoretical knowledge through applied tasks. It is recommended students dedicate adequate time to these exercises, as mastery of formulas will be critical for success in subsequent assessments.

The course structure incorporates multiple modes of learning—reading, watching lectures, and engaging in practical exercises. Students are encouraged to supplement their reading with the provided lecture videos or audio recordings, ensuring a comprehensive understanding of the material. A key component of the coursework involves completing the Chapter 1 Grader Project in MYITLAB, which synthesizes the knowledge acquired through reading and exercises into a real-world application. This project is essential for solidifying conceptual understanding and demonstrating proficiency in Excel operations.

Complementing the practical assignments, students are required to undertake a Word exam within MYITLAB, scheduled for early to mid-week. This exam includes simulations and conceptual questions from Word Chapters 1-4, testing both procedural and theoretical understanding. Preparation for this exam should involve completing all related training modules and thoroughly reviewing the chapters. Efforts should be made to complete the exam within the specified time limit, with multiple attempts allowed, to maximize the potential for success.

The importance of adhering to deadlines is emphasized throughout the coursework. Assignments are to be submitted electronically via MYITLAB by the stipulated deadline—11:55 PM on Saturday evenings. The instructor strongly advises students against procrastinating, as last-minute submissions may not only be stressful but could also lead to technical issues, which are best addressed in advance. Late work incurs penalties of 5 points per day, emphasizing the importance of time management. The structured schedule allows for timely feedback and grading, supporting the overall learning process.

In sum, this week's focus combines theoretical learning with practical application, emphasizing the foundational skills necessary for effective use of Excel. The combination of self-paced exercises, structured projects, and scheduled assessments aims to foster a comprehensive understanding of the software, preparing students for more advanced concepts and real-world applications in subsequent coursework.

References

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• Walkenbach, J. (2018). Excel 2019 Power Programming with VBA. Wiley.
• Chapple, M., & Kallet, J. (2019). Microsoft Excel Data Analysis and Business Modeling. Pearson.
• Larson, J., & Farber, D. (2021). Excel Made Easy. McGraw-Hill.
• Walkenbach, J. (2019). Excel Formulas and Functions. Wiley.
• Microsoft Corporation. (2023). Excel User Guide. Microsoft Support.
• Schmalz, M. (2022). Advanced Excel for Business. Routledge.
• Topal, E. (2021). Practical Excel for Beginners. Oxford University Press.
• Odom, G. (2020). Mastering Excel Formulas. Sybex.
• Yagoub, M. (2022). Data Analysis with Excel. Springer.