Matlab Coursework代写|Data Analysis and Programming Skills LEC.272


尽管许多团体、组织和专家都有不同的方法来处理数据分析,但大多数都可以提炼成一个放之四海而皆准的定义。数据分析是清理、改变和处理原始数据的过程,并提取可操作的相关信息,帮助企业做出明智的决策。该程序通过提供有用的见解和统计数据,通常以图表、图像、表格和图形的形式呈现,帮助减少决策中固有的风险。

数据分析方法

虽然有很多数据分析方法,但它们都属于两个主要类型之一:定性分析和定量分析。

定性数据分析:定性数据分析方法通过文字、符号、图片和观察得出数据。这种方法不使用统计数据。最常见的定性方法包括。

内容分析,用于分析行为和言语数据。

叙事分析,用于处理从访谈、日记、调查中摘取的数据。

基础理论,通过研究和推断一个或多个过去的案例来发展对一个特定事件的因果解释。

定量数据分析:统计数据分析方法收集原始数据并将其处理成数字数据。

定量分析方法包括:

1.假设检验,用于评估一个数据集或人口统计学的给定假设或理论的真实性。

2.平均值,或平均数,通过将一串数字的总和除以清单上的项目数来确定一个主体的总体趋势。

3.样本量确定使用从较大的人群中抽取的小样本并进行分析。获得的结果被认为是对整个身体的代表。

我们可以通过展示各种技术来进一步扩大我们对数据分析的讨论,并按不同的概念和工具进行细分。

人工智能和机器学习

人工智能正在崛起,并已被证明是数据分析世界中的一个有价值的工具。相关的分析技术包括:

  • 人工神经网络
  • 决策树
  • 进化编程
  • 模糊逻辑

数学和统计学

这是一种技术,你在这里可以找到数字计算的数据分析。这些技术包括:

  • 描述性分析
  • 分散分析
  • 判别分析
  • 因素分析
  • 回归分析
  • 时间序列分析

下面是一个用matlab做图像处理的数据分析课程作业:

All of the work should be contained in a Word file, preferably saved as a PDF. You will have to use the Word Equation Editor for the formulae, paste annotated Matlab plots into the Word document, and include Matlab scripts in the document Appendix. You can copy your script from the Matlab Editor window and paste it into Word as it is. Remember that you need to show all your calculations and formula work including the intermediate results. The code must

be suitably annotated with correct and comprehensive Matlab comments. Format, clarity and legibility of the submitted code will be a part of the assessment.

Part 2.

The Aggregated Dead Zone (ADZ) model for solute transport between two locations in a river system at the sampling interval of 1 minute can be defined approximately by the following     discrete-time model:

xk = {1−(0.1+β)} xk-1 +0.1 uk-δ

where xk is the downstream solute concentration, uk is the upstream solute concentration, δ is the advective time delay and β is the decay rate of the solute.

In the calculations assume that the river is initially slightly polluted (x0 = 1 mgl− 1 ).

 Adapt the code we developed in class for several purposes (from the blowfly model to the lake pollution one) to develop a Matlab script which will compute and plot the   response xk to a step input uk of the pollutant at a constant concentration of 15mgl-1;  i.e.

uk = 0 for k <= 0  and uk = 15 for k > 0   ;   k = 1, 2,…, 40.

Make x0 a variable, so that the script is general. What other general features would you include? Hint: you can largely recycle the code we wrote in the class. In the Word document include both nicely formatted tabular and graphics output from Matlab, as well as the Matlab script. The plot needs to be fully annotated, including characteristic points on the plot, using the graphics text() command etc. in the script  (as used in the class).

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