ICT341 Web Informatics Programming Assignment Sample SUSS Singapore
The course ICT341 Web Informatics Programming will introduce students to the challenges and importance of analyzing web content for business intelligence. Both tasks require developing a pipeline that collects, indexes searches analyzes data based on website pages as well logs visits by date or user agent string which can be used to solve problems like figuring out what kind of website visitors you have (their demographics) where they’re coming from geographically speaking but also maybe determining why some people aren’t converting into customers yet.
Other potential applications of web informatics programming include developing a crawler to automatically populate a website’s search engine, recommending new content for the website or blog and even tracking the effectiveness of marketing campaigns by correlating website visits with offline sales.
In this course, you will learn how to program web applications that integrate data from various sources for students to make informed decisions. You’ll also get hands-on experience with major software platforms like MySQL and PHP through programming exercises designed specifically around case studies relevant to the student’s professional field of interest or expertise.
The integrated system supports systematic interactions between information systems and databases while giving them full control over what types of queries they want to perform on these resources – all leading up to an introduction to informatics technologies.
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Assignment Task 1: Apply Web and data programming
Web programming is the process of creating websites and applications using code. This can be done in several different programming languages, but some of the most common are HTML, CSS, and JavaScript. Web developers use these programming languages to create the structure and style of a website, as well as the functionality and interactivity.
Data programming is the process of working with data in various forms. This can include managing and organizing data, mining or extracting data from different sources, cleaning or transforming data, or preparing it for analysis. Data programmers use a variety of coding languages to do this work, including Python, R, MATLAB, and SAS. They may also use tools like Excel or SQL to help them manage and manipulate data.
Both web and data programming are important skills for today’s workforce. By learning how to program, you can create websites and applications that make your life easier or help you do your job better. And by learning how to work with data, you can gain insights into the world around you and make smarter decisions. So if you’re interested in learning more about either of these topics, there are plenty of resources out there to help you get started.
Assignment Task 2: Discuss the challenges in Web content analysis
The main challenge in web content analysis is the sheer volume of data that needs to be processed. With the advent of social media, online advertising, and user-generated content, there is an ever-growing amount of data that needs to be analyzed to understand consumer behaviour and preferences.
Another challenge is the ever-changing nature of the Web. Content is updated and changed constantly, so it’s difficult to track and analyze over time. And since web content is often designed to influence or persuade consumers, it can be difficult to identify the underlying motives behind certain pieces of content.
Finally, there are also challenges with data interpretation. Oftentimes, different analysts will interpret the same data differently, depending on their own biases and preferences. This can make it difficult to arrive at a consensus or to develop a clear understanding of consumer behaviour.
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Assignment Task 3: Construct the data pipeline for Web content analysis
There are a few different ways to approach this, but one common data pipeline for web content analysis might look something like this:
- Collect data from various sources – this could be web pages, social media, forums, etc.
- Clean and pre-process the data – this might involve removing duplicates, standardizing formats, etc.
- Extract features from the data – this could involve identifying key topics, phrases, or other relevant information.
- Generate insights from the data – this might involve visualizing trends, identifying patterns, or otherwise extracting useful information from the dataset.
Each step in this process will be slightly different depending on the specific data and analysis requirements, but the overall flow is generally the same. By using a well-defined data pipeline, you can ensure that your web content analysis is efficient and accurate.
Assignment Task 4: Propose and apply an integrated solution consisting of Web and data programming
There are many ways to approach this question, but one possible solution is to use a web programming language like PHP or ASP.NET to develop the website, and a database programming language like SQL to manage the data. This approach would allow you to easily integrate the two components of your solution.
Another option is to use a language like Ruby on Rails, which provides a web development framework that includes support for database management. This approach would also be easy to integrate, but it may be more difficult to find developers who are familiar with both web programming and database management.
Ultimately, the best solution will depend on your specific needs and the skills of your development team. However, using a web programming language and a database programming language together is a good way to ensure that your solution is integrated and easy to manage.
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Assignment Task 5: Formulate strategies to collect, index and analyze Web content
There are a few key strategies that you can use to collect, index and analyze web content:
- Use web scraping tools to collect data from website pages.
- Use a search engine optimization tool to help you index and analyze web content.
- Use social media monitoring tools to track and analyze what people are saying about your brand online.
- Use a web analytics tool to track and analyze how people are engaging with your website.
- Use a content curation tool to help you organize and analyze your web content.
- Use a content marketing platform to help you create and distribute engaging web content.
Assignment Task 6: Implement a Web content analysis platform for business and operational requirements
There are many different web content analysis platforms available, each with its own unique set of features and capabilities. The best platform for your business or operational requirements will depend on your specific needs and goals. Some factors to consider include the size of your website, the types of content you need to analyze, and your budget. Once you have a clear idea of what you need, research different platforms to find the one that best fits your needs.
Once you have selected a platform, implementing it is relatively simple. Most platforms come with step-by-step instructions on how to get started. If you run into any trouble, customer support is typically available to help you troubleshoot any issues. With the right web content analysis platform in place, you’ll be able to glean valuable insights into your website’s performance and make necessary changes to improve your bottom line.
Assignment Task 7: Set Up a working Web content analysis solution in a case study
In this case study, you will set up a web content analysis solution using the Sentiment Analysis API and Google Sheets. The goal of this exercise is to monitor the sentiment of online reviews for a specific business to track customer satisfaction over time.
You will need an IBM Bluemix account with at least one active service. If you don’t have an IBM Bluemix account, you can sign up for a free trial here.
- Log in to your IBM Bluemix account and click on the Catalog tab.
- Type “sentiment” into the search bar and select the Sentiment Analysis API from the results.
- Click on Create Service and accept the default settings.
- Click on the Runtime tab and select Liberty for Java from the dropdown menu.
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