CCS375: Web Technologies syllabus for AI&ML 2021 regulation (Professional Elective-II)

Web Technologies detailed syllabus for Artificial Intelligence & Machine Learning (AI&ML) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the AI&ML students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Artificial Intelligence & Machine Learning 5th Sem scheme and its subjects, do visit AI&ML 5th Sem 2021 regulation scheme. For Professional Elective-II scheme and its subjects refer to AI&ML Professional Elective-II syllabus scheme. The detailed syllabus of web technologies is as follows.

Course Objectives:

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Unit I

WEBSITE BASICS, HTML 5, CSS 3, WEB 2.0
Web Essentials: Clients, Servers and Communication – The Internet – World wide web – HTTP Request Message – HTTP Response Message – Web Clients – Web Servers – HTML5 – Tables -Lists – Image – HTML5 control elements – Drag and Drop – Audio – Video controls – CSS3 -Inline, embedded and external style sheets – Rule cascading – Inheritance – Backgrounds -Border Images – Colors – Shadows – Text – Transformations – Transitions – Animations. Bootstrap Framework

Unit II

CLIENT SIDE PROGRAMMING
Java Script: An introduction to JavaScript-JavaScript DOM Model-Exception Handling-Validation-Built-in objects-Event Handling- DHTML with JavaScript- JSON introduction – Syntax – Function Files.

Unit III

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Unit IV

PHP and XML
An introduction to PHP: PHP- Using PHP- Variables- Program control- Built-in functions- Form Validation. XML: Basic XML- Document Type Definition- XML Schema, XML Parsers and Validation, XSL ,

Unit V

INTRODUCTION TO ANGULAR and WEB APPLICATIONS FRAMEWORKS 6
Introduction to AngularJS, MVC Architecture, Understanding ng attributes, Expressions and data binding, Conditional Directives, Style Directives, Controllers, Filters, Forms, Routers, Modules, Services; Web Applications Frameworks and Tools – Firebase- Docker- Node JS- React- Django-UI & UX.

Course Outcomes:

1. Construct a basic website using HTML and Cascading Style Sheets
2. Build dynamic web page with validation using Java Script objects and by applying different event handling mechanisms.
3. Develop server side programs using Servlets and JSP.
4. Construct simple web pages in PHP and to represent data in XML format.
5. Develop interactive web applications.

Practical Exercises

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Text Books:

1. Deitel and Deitel and Nieto, Internet and World Wide Web – How to Program, Prentice Hall, 5th Edition, 2011.
2. Jeffrey C and Jackson, Web Technologies A Computer Science Perspective, Pearson Education, 2011.
3. Angular 6 for Enterprise-Ready Web Applications, Doguhan Uluca, 1st edition, Packt Publishing

Reference Books:

1. Stephen Wynkoop and John Burke “Running a Perfect Website”, QUE, 2nd Edition,1999.
2. Chris Bates, Web Programming – Building Intranet Applications, 3rd Edition, Wiley Publications, 2009.
3. Gopalan N.P. and Akilandeswari J., “Web Technology”, Prentice Hall of India, 2011.
4. UttamK.Roy, “Web Technologies”, Oxford University Press, 2011.
5. Angular: Up and Running: Learning Angular, Step by Step, Shyam Seshadri, 1st edition, O’Reilly

For detailed syllabus of all the other subjects of Artificial Intelligence & Machine Learning 5th Sem, visit AI&ML 5th Sem subject syllabuses for 2021 regulation.

For all Artificial Intelligence & Machine Learning results, visit Anna University AI&ML all semester results direct link.