MANG6537 Project Management SEMESTER 2 2024/25Matlab

Java Python SEMESTER 2 2024/25

COURSEWORK BRIEF:

Module Code:

MANG6537

Assessment:

Individual Coursework

Weighting:

100%

Module Title:

Project Management

Submission Due Date: @ 16:00

Word Count:

2,000

This assessment relates to the following module learning outcomes:

B. Subject Specific Intellectual and Research Skills

A. Knowledge and Understanding

A1. Appreciate the specific nature of projects and its implications on managing projects.

A2. Gain the knowledge of traditional and contemporary approaches to management of projects.

A3. Understand the people, organisational and functional aspects of projects and their strategic management and leadership.

A4. Gain knowledge of tools and techniques for organising, managing, and leading people, organisational and functional aspects of projects.

A5. Develop in-depth appreciation of various factors influencing project success and failure.

B1. Appreciate the sources of complexities in actual projects and project environments.

B2. Analyse project situations and dynamics considering the pluralistic nature of projects and project management.

B3. Critically analyse projects’ context, potential dynamics, and challenges regardless of their industry.

C. Transferable and Generic Skills

C1. Appreciate the complexity of actual business world.

C2. Develop analytical and critical approaches to management and leadership.

C3. Organise, present, and communicate your professional and academic views in written. C2. communicate effectively (written).

3

Coursework Brief:

The coursework intends to assess the depth and breadth of your appreciation, reflection, and critical analysis of project management.

For this assignment, you are required to select one recent, impactful project and conduct in-depth analysis using topics and perspectives covered in this module.

You are expected to:

• demonstrate good capability of collecting secondary data on your chosen project from valid sources (e.g., official reports, the project’s or the organisation’s website, reputable news agency, etc.)

• review their project management approach

• identify the key success and/or failure in the project practice, and

• reflect on whether and how different approaches could have led to better outcomes.

Suggested Structure

• Title Page (module code, assignment title, student ID, and word count)

• Table of Contents (list of numbered headings and sub-headings)

• Introduction to the project and purpose of assignment (300 words)

• Academic literature review (on relevant project management approaches, previous study on projects and/or organisations in similar contexts) (700 words)

• Analysis and discussion (700 words)

• Conclusion (300 words)

• List of References

• Appendices (if necessary): Details of additional relevant information.

Other Key Requirements

• +/-10% either side of the word count is deemed to be acceptable. Any text that exceeds an additional 10% will not attract any marks.

• Word count excludes text in tables, figures, the list of references, and appendices.

• Rigid application of required academic referencing style.

• Main text should be presented using 12 font size, Times New Roman or Arial, and 1.5 line spacing         

六自由度机械臂ANN人工神经网络设计:正向逆向运动学求解、正向动力学控制、拉格朗日-欧拉法推导逆向动力学方程(Matlab代码实现)内容概要:本文档围绕六自由度机械臂的ANN人工神经网络设计展开,详细介绍了正向与逆向运动学求解、正向动力学控制以及基于拉格朗日-欧拉法推导逆向动力学方程的理论与Matlab代码实现过程。文档还涵盖了PINN物理信息神经网络在微分方程求解、主动噪声控制、天线分析、电动汽车调度、储能优化等多个工程与科研领域的应用案例,并提供了丰富的Matlab/Simulink仿真资源和技术支持方向,体现了其在多学科交叉仿真与优化中的综合性价值。; 适合人群:具备一定Matlab编程基础,从事机器人控制、自动化、智能制造、电力系统或相关工程领域研究的科研人员、研究生及工程师。; 使用场景及目标:①掌握六自由度机械臂的运动学与动力学建模方法;②学习人工神经网络在复杂非线性系统控制中的应用;③借助Matlab实现动力学方程推导与仿真验证;④拓展至路径规划、优化调度、信号处理等相关课题的研究与复现。; 阅读建议:建议按目录顺序系统学习,重点关注机械臂建模与神经网络控制部分的代码实现,结合提供的网盘资源进行实践操作,并参考文中列举的优化算法与仿真方法拓展自身研究思路。
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