6042CEM Management Information SystemR

Java Python Assignment Information

Module Name: Management Information System

Module Code: 6042CEM

Assignment Title: Building a Dashboard using Power BI

Assignment Due: 05/12/2024

Assignment Credit: 15 credits

Word Count (or equivalent): 2500 words +/- 10%

Assignment Type: Individual Report with dashboard

Percentage Grade (Applied Core Assessment). You will be provided with an overall grade between 0% and 100%. You have one opportunity to pass the assignment at or above 40%.

Assignment Task

Building a Dashboard using Power BI

You have been provided with three datasets on Aula. Choose one of these datasets and create a report that analyses how information systems support business strategy, business processes, and decision-making within an organization.

Your report should include the following components:

1. Dashboard Creation and Data Visualization (30 Marks):

o  Use Power BI to create a dashboard, providing a background on data visualisation and its importance.

o  Utilise KPIs and other visual elements to extract insights from your chosen dataset that can aid management decision-making.

o  Explain why you selected this dataset.

2. Data Exploration and Model Building (30 Marks):

o  Explore the dataset in depth and develop a relationship model of your choice.

o  Create an interactive dashboard report that supports business decision-making.

3. Model Evaluation (15 Marks):

o  Evaluate the accuracy, usability, and suitability of your model for decision-making.

o  Discuss how the model can contribute to sustaining a competitive advantage.

o  Identify any issues with the datasets or the model itself.

4. Insights and Conclusions (15 Marks):

o  Draw conclusions and provide insights based on the overall analytical and data models you have developed.

5. Self-Reflection (10 Marks):

o  Reflect on how using Power BI enhanced your analysis and decision-making process.

Submission Instructions:

•&n 6042CEM Management Information SystemR bsp;    The report should be submitted electronically via the Aula

•     The deadline for submission is 5th December 2024.

•    You should submit your work by creating a report explaining your dashboard and uploading your Power BI dashboard on Aula as a PowerBI.Pbix form.

•     Your submission should be in Microsoft Word, or PDF format.

•     Late submissions will be awarded 0 mark. If you have a genuine reason for needing to submit late, you can request an extension from the faculty registry.

•    The report should be professionally formatted with clear headings, subheadings, and page

numbers. Use 1.5 line spacing, a standard font (e.g., Arial or Times New Roman), and a font size of 12.

•    All work must be original and properly referenced. Plagiarism will not be tolerated and will be subject to university disciplinary procedures.

•    You must acknowledge the use of any AI tools in completing this assessment. Please

familiarize yourself the withStudent guidanceon how to use Artificial Intelligence in studying and assessment.

Marking and Feedback

How will my assignment be marked?

Your report will be marked by the module team.

How will I receive my grades and feedback?

Provisional marks will be released at 19/12/2024.

Feedback will be provided by the module team alongside grades release on each script, which was submitted to Aula.

Your provisional marks and feedback should be available within [2 weeks (11 working days)].

What will I be marked against?

Details of the marking criteria for this task can be found at the bottom of this Coursework brief.

Assessed Module Learning Outcomes

The Learning Outcomes for this module align to the marking criteria which can be found at the end of this brief. Ensure you understand the marking criteria to ensure successful achievement of the assessment task. The following module learning outcomes are assessed in this task:

1. Recognise how information systems support business strategy, business processes, and practical applications in an organisation.

2. Interrelate how various support systems can be used for business decisions and to sustain competitive advantage.

3. Assess how the Internet and World Wide Web can provide a global platform. for e-business, business mobility and communications, collaboration, and cloud computing in an organisation

4. Evaluate the value of, and the relationship between business data, data management, and business intelligence         

跟网型逆变器小干扰稳定性分析与控制策略优化研究(Simulink仿真实现)内容概要:本文围绕跟网型逆变器的小干扰稳定性展开分析,重点研究其在电力系统中的动态响应特性及控制策略优化问题。通过构建基于Simulink的仿真模型,对逆变器在不同工况下的小信号稳定性进行建模与分析,识别系统可能存在的振荡风险,并提出相应的控制优化方法以提升系统稳定性和动态性能。研究内容涵盖数学建模、稳定性判据分析、控制器设计与参数优化,并结合仿真验证所提策略的有效性,为新能源并网系统的稳定运行提供理论支持和技术参考。; 适合人群:具备电力电子、自动控制或电力系统相关背景,熟悉Matlab/Simulink仿真工具,从事新能源并网、微电网或电力系统稳定性研究的研究生、科研人员及工程技术人员。; 使用场景及目标:① 分析跟网型逆变器在弱电网条件下的小干扰稳定性问题;② 设计并优化逆变器外环与内环控制器以提升系统阻尼特性;③ 利用Simulink搭建仿真模型验证理论分析与控制策略的有效性;④ 支持科研论文撰写、课题研究或工程项目中的稳定性评估与改进。; 阅读建议:建议读者结合文中提供的Simulink仿真模型,深入理解状态空间建模、特征值分析及控制器设计过程,重点关注控制参数变化对系统极点分布的影响,并通过动手仿真加深对小干扰稳定性机理的认识。
### PCIe CEM R 规范概述 PCI Express (PCIe) Card Electromechanical (CEM) 规范定义了物理层面上的机械和电气接口标准,确保不同制造商生产的PCIe设备能够互操作并保持一致性。具体而言,PCIe CEM R3.0 版本详细描述了PCIE卡的机械和电气设计要求[^1]。 #### 主要内容和技术要点 - **机械结构**:规定了插槽尺寸、卡片厚度以及连接器位置等硬件规格,以保障安装稳定性和散热效果。 - **电气特性**:明确了信号完整性、电源分配等方面的要求,从而提高系统的可靠性和性能表现。 - **热管理方案**:针对高性能计算环境下的发热问题提出了有效的解决方案,比如通过改进气流路径来增强冷却效率。 - **兼容性考虑**:为了使新旧设备之间可以无缝对接,在修订过程中充分考虑到向后兼容的因素。 ```cpp // 示例代码展示如何查询当前系统中的PCIe设备信息(Linux平台) #include <stdio.h> #include <stdlib.h> int main() { FILE *fp; char path[1035]; fp = popen("lspci", "r"); if (fp == NULL) { printf("Failed to run command\n" ); exit(1); } while (fgets(path, sizeof(path)-1, fp) != NULL) { printf("%s", path); } pclose(fp); return 0; } ``` #### 实现细节 当开发者基于此规范进行产品开发时,需严格遵循上述各项指导方针: - 设计阶段应仔细参照文档中给出的具体参数值; - 生产环节务必采用高质量元器件,并经过严格的测试流程验证成品质量; - 对于最终用户,则可通过查阅手册了解所购产品的特性和维护方法。
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