Homework 2 Note: Plagiarism Is Serious This Work Should Be F

Homework 2 Note Plagiarism Is Serious This Work Should Be Fin

Understand the importance of original work and academic integrity, practice basic Python programming including arithmetic operators, string formatting, using modules like math, defining, and modifying functions, and working with input/output. Complete specific coding exercises related to these topics, implement custom functions, learn to manipulate strings with format methods, and apply mathematical functions using Python's math module. Additionally, understand project management concepts such as business case, charter, scope statement, and Work Breakdown Structure (WBS) with references to project management standards.

Paper For Above instruction

Academic integrity constitutes the foundation upon which scholarly work is built, emphasizing the importance of independent effort and proper acknowledgment of sources. Plagiarism undermines this foundation, and therefore, students are expected to produce original work without copying from others, even though consulting books or online resources is encouraged to enhance understanding. Adherence to these principles ensures fairness and credibility in educational pursuits.

On the programming front, the assignment primarily focuses on fundamental Python skills such as performing arithmetic operations—addition (+), subtraction (-), multiplication (), division (/), exponentiation (*), and modulus (%). Mastery of these operators forms the backbone of computational logic. Additionally, string formatting techniques, including the use of f-strings and the str.format() method, are essential for creating dynamic and readable output, which is crucial when presenting calculated results or constructing reports.

Students are instructed to write Python code using a text editor, save with correctly formatted filenames (e.g., change_counter_smith.py), and execute scripts via command line or IDEs like PyCharm. They will modify skeleton code to complete missing sections, test their scripts, and submit the final versions. This process reinforces understanding of code structure, variable handling, user input conversion, and debugging.

Furthermore, the coursework explores the 'math' module, illustrating how to leverage its functions such as math.sqrt(), math.floor(), math.exp(), math.log10(), and math.sin(). These functions enable performing advanced calculations with ease. Students will create a Python script (e.g., math_practice_smith.py) encapsulating these operations within a main() function, outputting results with descriptive text through f-strings.

In addition, there is an exploration of string formatting techniques, specifically the str.format() method, exemplified in Jupyter Notebooks. Students should practice modifying existing examples, exploring padding and variable substitution, and applying their own examples to solidify understanding. The final notebook should be renamed appropriately and submitted for review.

Complementing the technical skills, the assignment introduces key concepts in project management relevant to business initiatives. The project business case establishes the justification for a project, outlining expected benefits and strategic alignment. The project charter formally authorizes the project, providing the project manager with authority and clarifying scope, objectives, and stakeholders.

The project scope statement delineates the work required, including major deliverables and requirements, as per Barron & Barron (n.d.). It ensures all parties understand what constitutes completion and sets boundaries to prevent scope creep. The Work Breakdown Structure (WBS), a hierarchical decomposition of the project scope, helps organize tasks, estimate costs and durations, and identify critical dependencies, thereby facilitating smooth project execution and scheduling.

In sum, the coursework combines Python programming fundamentals with essential project management principles, emphasizing original effort, methodical coding practice, and comprehensive understanding of project initiation and planning tools.

References

• PMI. (n.d.). PMI lexicon of project management terms. Retrieved from https://www.pmi.org
• Barron, M., & Barron, A. R. (n.d.). Project planning. Retrieved from https://example.com/project-planning
• Van Rossum, G., & Drake, F. L. (2009). Python 3 Reference Manual. CreateSpace.
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