Web Application Development Using Python Lab detailed syllabus for Artificial Intelligence & Machine Learning (AM) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Artificial Intelligence & Machine Learning 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 4th Sem scheme and its subjects, do visit Artificial Intelligence & Machine Learning (AM) 4th Sem 2021 revision scheme. The detailed syllabus of web application development using python lab is as follows.
Course Objectives:
- Students will be able to develop and deploy Web applications using Python frameworks.
Course Outcomes:
On completion of the course, students will be able to:
- Develop interactive web pages
- Develop simple web applications using Python framework
- Develop web applications with multiple forms
- Open ended experiment
Module 1:
- Develop simple web pages using HTML5
- Apply styles to the web pages using CSS
- Develop simple web pages using Javascript.
- Develop simple web pages using jQuery.
Module 2:
- Practice installation of Python IDE & Python framework & database server
- Develop a simple web application using Python framework
- Develop web applications using Bootstrap in Python framework
Module 3:
- Develop simple web applications with form.
- Develop web applications with multiple forms.
- Demonstrate admin customization
- Develop web applications for user authentication.
Module 4:
- Practice deployment of web applications in a web server or cloud server.
- Open-ended experiment.
Suggested Open-Ended Experiments
(Not for End Semester Examination but compulsory to be included in Continuous Internal Evaluation. Students can do open-ended experiments as a group of 2-3. There is no duplication in experiments between groups.)
- Library Management
- Student Information System
- Hospital Management
Text Books:
- Laura Lemay, Rafe Colburn, Jennifer Kyrnin, “Mastering HTML, CSS & Javascript Web Publishing”, BPB Publications 2016
- Miguel Grinberg, “Flask Web Development: Developing Web Applications with Python”, O’Reilly 2018
Online Resources
- https://www.tutorialrepublic.com/html-tutorial/
- https://www.tutorialrepublic.com/css-tutorial/
- https://www.tutorialrepublic.com/javascript-tutorial/
- https://www.tutorialrepublic.com/jquery-tutorial/
- https://www.tutorialrepublic.com/twitter-bootstrap-tutorial/
- https://www.tutorialrepublic.com/sql-tutorial/
- https://www.tutorialspoint.com/flask/index.htm
- https://www.javatpoint.com/flask-tutorial
For detailed syllabus of all other subjects of Artificial Intelligence & Machine Learning (AM), 2021 revision curriculum do visit Artificial Intelligence & Machine Learning 4th Sem subject syllabuses for 2021 revision.
To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..
To see the results of Artificial Intelligence & Machine Learning (AM) of diploma 2021 revision curriculum do visit SITTTR diploma Artificial Intelligence & Machine Learning (AM) results..
For all Artificial Intelligence & Machine Learning academic calendars, visit Artificial Intelligence & Machine Learning all semesters academic calendar direct link.