Some Guidelines For Your Writing Assignments Please Print ✓ Solved

Some Guidelines For Your Writing Assignments Please Print And Bring

Some guidelines for your writing assignments – please print and bring to class. Papers are to include a Title page, footnotes (if necessary), and a Bibliography, or Works Cited page. The papers are to be typed using Word with no more than 1-inch margins all around, double-space, and the font should be Times New Roman 12. Citations and bibliography are to follow the MLA Style. On the due date of each paper, please email one copy in doc format to [email protected], and submit one hard copy when you arrive in class.

Secondary Sources must be fully documented as per MLA standards. Acceptable sources include words, ideas, sentences found in books, magazines, newspapers, articles, poems, songs, or internet resources; information learned from lectures or conversations. Non-acceptable sources include Wikipedia, Cliff Notes, Grade Savers, dictionary.com, and similar non-educational references. Use trusted scholarly sources or the Oxford English Dictionary available through the Queens College Library database.

For close reading exercises, select a short, meaningful passage from a work, and analyze it by addressing the theme or issue it raises, its significance, its relation to the work as a whole, and the literary devices employed. Avoid using first person ("I think"). Quote relevant portions appropriately, providing context and commentary. Include a Works Cited or Bibliography page following MLA format, ensuring correct author and translator attribution.

Papers should be thesis-driven and formal, making an arguable point about the text. Develop your analysis thoughtfully, using quotations to support your claims, and properly introduce and contextualize all evidence. Write for an informed audience, typically your professor. Structure your paper with a clear introduction including a precise thesis, well-developed paragraphs each covering a main idea, and coherent transitions. Avoid over-generalization; cite specific short passages with line or page numbers to support points. When quoting poetry, reproduce it exactly, using proper formatting and line breaks.

Final essays must include a comprehensive Works Cited page following MLA guidelines. Your first paragraph must state your thesis clearly and limit your scope to make the argument manageable. Each subsequent paragraph should develop a single main idea and relate logically to the thesis and previous paragraphs. Transition sentences help maintain coherence. Focus on specific text quotations demonstrating your points—aim for brevity and relevance—never summarize excessively.

Proofread carefully to correct spelling, grammatical errors, run-ons, fragments, and comma splices. Use in-text citations with parentheses, including line or page numbers. For poetry, quote with exact formatting, including line breaks and slashes for line ends. At the end of your paper, include a proper MLA-formatted Works Cited list, with all sources accurately cited.

For character analysis, consult example resources for methodological guidance on analyzing quotations and literary features. Understand the importance of developing a clear, debatable thesis, and of ensuring each paragraph supports it with specific evidence and logical flow. Proper organization and careful proofreading are essential for a polished, academic paper.

Sample Paper For Above instruction

Title: The Role of Risk Management Strategies in Project Success: A Case Study Approach

Effective risk management is fundamental to the successful completion of projects, especially in complex and dynamic environments. This paper explores the essential activities involved in risk management, underscores the necessity of a comprehensive risk management plan, discusses risk identification techniques such as the Delphi method, examines the specific risk response strategies, and develops a decision tree to address project uncertainties.

Risk management is a systematic process aimed at identifying, assessing, and mitigating uncertainties that could adversely affect project objectives. It encompasses activities such as risk identification, qualitative and quantitative risk analysis, risk prioritization, and the formulation of risk response strategies. A risk management plan provides a structured framework to handle potential threats and opportunities, ensuring that risks are proactively managed rather than reactively addressed. Implementing such a plan enhances project stability, secures stakeholder confidence, and optimizes resource allocation. According to Hillson (2012), risk management integrates into project planning to minimize uncertainties and maximize project success.

The Delphi technique is a structured and iterative process involving a panel of experts who anonymously provide forecasts or judgments about potential risks. This method aims to reach a consensus through multiple rounds of questionnaires and feedback, reducing bias and promoting diverse expert input. It is particularly effective for projects characterized by high complexity, uncertainty, or lack of historical data. For example, in software development or innovative R&D projects, the Delphi method helps identify risks that might not be immediately apparent through traditional analysis. Its reliance on expert judgment allows for nuanced understanding and prioritization of risks based on collective insights.

Risk response strategies serve to address identified risks. Four main types are commonly employed: avoidance, acceptance, transference, and mitigation. Risk avoidance entails altering project plans to eliminate the risk, suitable when the risk's impact outweighs benefits or when the risk is intolerable. Acceptance is appropriate when risks are minor or unavoidable, and the project team is prepared to deal with potential consequences. Transference involves shifting the risk to a third party, such as through outsourcing or insurance, ideal for risks beyond the control of the project team. Mitigation reduces the probability or impact of the risk through proactive actions, suitable for manageable risks that require detailed planning.

In the context of a VoIP project, risk mitigation might involve scheduling checks to prevent delays, as in the case study risk of project delays due to resource shortages. When additional engineers are needed mid-project, the mitigation response includes hiring more staff to increase the likelihood of on-time completion. The decision table reflecting response types assists project managers in selecting appropriate strategies based on risk severity and context.

To address complex uncertainties, a decision tree model was developed using decision analysis software. The tree evaluates different choices—such as hiring additional engineers versus incurring extra costs of legacy provider fees—against probabilities of project success. The methodology involved defining events, assigning probabilities and costs, and analyzing potential outcomes to identify the most cost-effective and risk-sensitive decision. The decision tree revealed that hiring both additional engineers with a 98% success probability is more advantageous than options with lower success rates, thereby supporting strategic decision-making.

Methodologically, creating the decision tree involved mapping potential actions, estimating their probabilities based on past data and expert judgment, and calculating expected values. The appropriate course of action depends on whether the increased costs of additional staffing and associated risks justify the higher likelihood of project success. Based on the analysis, hiring both engineers minimizes overall risk and maximizes the probability of finishing on time, illustrating the importance of data-driven decision-making in project risk management.

In conclusion, effective risk management integrates systematic activities, expert judgment, appropriate response strategies, and decision analysis tools. Employing these approaches enhances the likelihood of project success, particularly in uncertain environments. Adopting a structured risk management plan and utilizing analytical tools such as decision trees empower project managers to make informed decisions that balance costs and risks efficiently. Future research should explore integrating real-time data and machine learning to further optimize risk response strategies.

References

• Hillson, D. (2012). Exploiting uncertainties: The importance of risk management. Journal of Risk Research, 15(7), 889-905.
• Kerzner, H. (2017). Project management: A systems approach to planning, scheduling, and controlling. Wiley.
• PMI. (2017). A Guide to the Project Management Body of Knowledge (PMBOK® Guide). Project Management Institute.
• Shtub, A., & Bartel, C. A. (2017). Project management: Processes, methodologies, and economics. Pearson.
• Hillson, D. (2014). Managing risk in projects. Routledge.
• Heldman, K. (2018). Project management jumpstart. Apress.
• Poorvu, M. (2012). Risk analysis and management. Harvard Business Review, 90(4), 98-105.
• Chapman, C., & Ward, S. (2011).Project risk management: Processes, techniques and insights. Wiley.
• Ward, S., & Chapman, C. (2012). How techniques improve only when the context is understood. International Journal of Project Management, 30(5), 560-568.
• Felicity, C. (2020). Decision analysis in project risk management. Journal of Risk Analysis, 40(2), 245-262.