最近与数字营销机构举行了会议?我们打赌您一定受到了看似随机的三四个字母术语的轰炸,对吗?我们感觉到你……这可能看起来像是学习外语的速成课程。但有时,我们需要在数字营销圈子中使用正确的语言(尽管这可能令人困惑),这是无法回避的事实。因此,作为足智多谋的我们,这里有一份方便的“阅读并保留”指南,可帮助您快速掌握术语。好吧(喘气),我们开始……数字营销术语Web开发HTML: HTML 代表超文本标记语言。它是一种网络开发语言,控制网站的结构和构建方式。架构标记: 架构标记是一种放置在网站上的代码,可帮助 Google 为用户返回更相关、信息更丰富的搜索结果。
站点地图站点地图也称为 XML 站点地图
基本上充当网站的蓝图,帮助 Google 查找、抓取和索引内容。CSS: CCS 代表层叠样式表。它是一种用于控制 HTML 文档的呈现的设计语言。跟踪像素: 跟踪像素是一段 HTML 代码,在用户访问网站或打开电子邮件时加载。它对于跟踪用户行为、跳出率和转化非常有用。线框: 线框是一种简化的视觉标识,代表网站设计和开发之前的骨架。JavaScript: JavaScript 是一种脚本语言,用于控制动态网站内容,例如交互式注册表单、动画图像和自动完成搜索建议。替代文本: 替代文本是一种 HTML 属性,当非文本元素(主要是图像)无法在网页上显示时,它可以提供替代文本。Bootstrap: 简而言之,Bootstrap 是用 JavaScript、HTML 和 CSS 编写的可重用代码的集合。它也是一个前端开发框架,使 Web 开发人员能够相对快速地构建完全响应的网站。API: API 是应用程序编程接口的缩写,听起来很复杂,但其实不然。它是一种中间软件,允许两个应用程序相互通信。实际上,当用户在 Facebook 上发送消息时,他们正在使用 API。
HTTP 代表超文本传输协议
是互联网的基础。它是一个应用程序层,用于使用超文本链接加载网页。Python: Python 是一种通用 Web 开发语言。与 HTML、CSS 和 JavaScript 不同,除了一般的 Web 开发之外,它还可以用于一系列编程和软件开发项目。RSS: RSS 代表真正简单的聚合。它是一种基于 XML 的格式,一直是通过 Internet 联合内容的首选标准。Ruby: Ruby 是一种开源、面向对象的编程语言,与其他语言不同,因为它鼓励 Web 开发人员首先为人类编写代码,其次为计算机编写代码。意大利面条式代码: 意大利面条式代码是指一段被认为是混乱且非结构化的代码。这是由于编写的代码不容易更改或根本不需要而引起的。SQL: SQL 是结构化查询语言的缩写。它是一种查询语言,旨在促进从数据库或电子表格中检索特定信息。数字营销术语社交媒体市场营销相似受众: Facebook 上的相似受众可以帮助企业找到最好的新客户。它是获得更好付费广告的强大工具,因为它需要种子受众,然后出去寻找与该种子受众相似的另一组用户。FOMO: FOMO 是缩写词,代表“害怕错过”。在社交媒体上,这是用户在看到有关他们想参与的活动的帖子时的感觉。标签: 标签是单词或长尾短语,用于对 Instagram、Twitter、Pinterest、TikTok 等内容进行分类并跟踪主题。
主题标签前面带有 # 符号例如
DigitalMarketingAgency 或 #CatsOfTheInternet。有趣的是,主题标签的技术术语是“Octothorp”。AMA: AMA 是“问我任何事情”的缩写,它起源于 Reddit 子版块,用户开始使用它来提示其他人的问题。从那时起,这个词在其他社交媒体网络上变得非常流行。临时数据: 临时数据是指在内容过期后不存储并消失的数据,例如 Instagram Stories 或 Snapchat。社会证明: 社会证明是指一种心理现象,社交媒体用户向其追随者寻求指导,以确定他们在某种或即将发生的情况下应该如何行动。情绪分析: 情绪分析主要强调社交媒体评论是积极的、消极的还是中性的。平均响应时间: 平均响应时间是社交媒体营销人员使用的客户服务指标。这是回复问题或投诉所需的平均时间。趋势劫持: 趋势劫持是分享时事的策略。社交媒体营销人员经常参与潮流劫持,以在获得曝光度的同时显得相关。UGC: UGC 代表用户生成的内容。它可以以帖子、图像、视频、评论、文章等形式出现。虚荣指标: 虚荣指标是社交媒体统计数据,看起来积极,但实际上并没有提供任何有价值或可操作的信息。
INT104 – Artificial Intelligence
Coursework 3
Introduction
In this coursework, a spreadsheet has been provided to perform a set of data analysis. The spreadsheet contains the following information: the index of student, gender of student, the programme that a student is enrolled, the grade that the student is in, total marks that a student is awarded and the mark of 5 exam questions (indexed as MCQ, Q1, Q2, Q3, Q4 and Q5).
The index student ranges from 1 to 619. The gender of the student is represented as “1” and “2”. The grade of the student is either “2” or “3”. The programme of the student is represented as “1”, “2”, “3” and “4”. The full mark of the whole exam paper is 100. The full mark for 5 exam questions are 54 marks (MCQ), 8 marks (Q1), 8 marks (Q2), 14 marks (Q3), 10 marks (Q4) and 6 marks (Q5) respectively.
The coursework requires students to extracts features of the data and analyse the distribution of the feature with association of the programme that a student is enrolled.
Tasks
Use GMM (Gaussian Mixture Model) to fit a distribution of raw features / your own features. Find a way that the GMM reflects the distribution of programme information.
Use k-means to fit a distribution of raw features / your own features. Find a way that the resulting clusters reflect the distribution of programme information.
Use hierarchical clustering to fit a INT104 代做、代写 java/c++程序语言distribution of raw features / your own features. Find a way that the resulting clusters reflect the distribution of programme information.
Compare and evaluate how the clustering clusters associate with the programme that the student comes from.
Requirement
You MUST use Python to perform the dedicated tasks. Over the lab session, a Teaching Assistant (TA) will be assigned to you to support your work. When you finished your experiment, please make sure you have demonstrated your work lively (in order to make sure the experiment is designed and performed by you). However, please bear in mind that it is NOT the TA’s responsibility to teach you Python programming nor design the experiment for you.
After the lab session, you should write a lab report that documents the experiment you performed, the results you obtained and the discussion that justifies your recommended way of clustering the dataset.
A MATLAB script that guides the experiment has been provided separately. The student is kindly reminded that 1) implementing the provided MATLAB script with MATLAB will result a mark of zero; 2) implementing the provided MATLAB script with Python does not guarantee a high mark.
Over the live demonstration, you will be asked for no more than three questions related to 1) your code, 2) the algorithm of you have used, and 3) the results you have obtained. You may also need to make minor changes to your Python script upon request and explain the corresponding results.
The length of the lab report after the lab session should be no more than 3 pages in double columns (refer to IEEE format) excluding reference lists. The report could be simply titled as “lab report” but the student could also title the report in their own favourite way. The report does not need a cover page, the student should write their names under the title with student ID provided. The student should also name their assigned TA under their own names. Though literatures could be cited to support the ideas in the report, it is NOT necessary to review relevant literatures in the report hence it is absolutely no problems to cite no papers in the report. The lab report should be handed in with a single PDF file without source code attached. The use of Latex is strongly recommended.
The use of ChatGPT is allowed for proofreading and brainstorming ONLY. However, copying an AI generated solution to the task will not guarantee that you could pass the coursework. It is the critical thinking, experiment design and the analysis of result that matter. You MUST fully understand your code and the experiment you have designed in this coursework.
Marking Criteria
Lab report:
Editorial & Language Issues (10 marks)
10 marks: no formatting problems found.
8 marks: minor language issues or minor formatting problems.
6 marks: the report is generally fine with a few language issues and formatting problems. 4 marks: the report is barely readable.
2 marks: the report is hard to read but understandable.
0 marks: the report is not understandable.
Task 1, 2 and 3 (60 marks in total, each task worth 15 marks)
15 marks: scientific hypothesis has been demonstrated via the results presented.
12 marks: the results of different experiment configurations are compared and analysed. 9 marks: the results of different experiment configurations are compared with depth.
6 marks: the target of the task has been fully fulfilled.
3 marks: the target of the task has not been partially fulfilled with good attempts.
0 marks: the target of the task has not been fully fulfilled with no sensible attempts made.
Live Demonstration:
Answer Questions (15 marks in total, each question worth 5 marks)
5 marks: show full understanding of concepts with satisfactory answers provided. 4 marks: satisfactory answers provided.
3 marks: satisfactory answers provided with minor misunderstanding.
2 marks: the answer is barely satisfactory.
1 mark: the answer is not correct.
0 marks: the student is unable to answer the question.
Code Running (15 marks)
15 marks: may implement the code in an efficient way and predict the result with good understanding of algorithms.
12 marks: may implement the code as required and discuss the result in depth.
9 marks: may implement the code with assistance and show understanding of the result.
6 marks: may implement the code with assistance in a period and show some understanding of the result.
3 marks: cannot implement the required changes with a sensible expectation of result.
0 marks: cannot understand the intention of the required changes.
N.B. For cases that are not listed here, TA would match the criteria in the list and give a mark to the code running session. TA also have the right to mark suspected plagiarism and raise the case to module leader.
Award Marks (capped at 100 marks in total, no individual award cap)
+10 marks: demonstrate a novel scientific hypothesis in any tasks.
+5 marks: present the experiment in a way that the experiment could be re-implement by others with ease.
+5 marks: the report is formatted in a publishable way.
Penalties:
-10 marks: for improper citation
-20 marks: for severe improper citation (multiple improper citation or duplication of a whole paragraph)
University academic integrity penalties apply.
Good-Willing Clauses
If a student has a concern on TA’s performance during the demonstration process, the student should report their concerns / the concerned behaviour to a teacher. The teacher could provide another chance of live demonstration to the student if the concern is upheld.
To activate clause 1, any recording of audio and video will not be considered as a means of evidence unless the audio / video recording shows that the recording is authorised by a TA / teacher. A witness of demonstration process may be used to support the case.
The student should be well behaved during the lab session. Abusing, threatening and other means of offensive behaviour shall not be tolerated.
If a TA / teacher feeling that themselves being abused, threatened or offended, the TA / teacher shall report the behaviour to a teaching / another teacher to confirm a case of misbehaviour. The TA / teacher may invite a few witnesses to support the case when necessary. Only recording authorised by the student being accused could be used to support the case.
Once a case of misbehaviour is confirmed, the TA / teacher has the right to refuse demonstrating the student’s work as required by this document and any further coursework / lab sessions. In such as case, there are no alternative TAs to be assigned to the student. Consequently, the student has no demonstration marks in this and any further coursework (the lab report will be marked in a normal way).
Submission
Only submissions in PDF format are accepted.
Submit your lab report via the dedicated Learning Mall coursework link before the Friday
of week 13.
Please name your submission file as ID_FirstName_LastName_C3.pdf (e.g.,
1234567_FirstName_Surname_C3.pdf).