Thursday, 9 July 2026

23ITS1-PYTHON WITH DJANGO

UNIT-II: Introduction to Django Framework Understanding Django environment, Features of Django and Django architecture, MVC and MTV, Urls and Views, Mapping the views to URLs, Django Template, Template inheritance Django Models, Creating model for site, Converting the model into a table, Fields in Models, Integrating Bootstrap into Django, Creating tables, Creating grids, Creating carousels. 

Sample Experiments: 

  1. Create a Sample “Hello World” Application using Django 
  2. Create a Login and Registration Page using MVC architecture in Django Framework 
  3. Create a sample page in Django by integrating Bootstrap. 
  4. Create an application with Tables, grids in Django 
  5. Create a Django App with Carousels feature.

Tuesday, 30 June 2026

23ITS1-PYTHON WITH DJANGO

23ITS1-Complete_Syllabus

UNIT-I : Python libraries for web development : Collections-Container datatypes, Tkinter-GUI applications, Requests-HTTP requests, Beautiful Soup4-web scraping, Scrapy, Zappa, Dash, CherryPy, Turbo Gears, Flask, Web2Py, Bottle, Falcon, Cubic Web, Quixote, Pyramid. 

Experiments :  
  1. Write a Python GUI program to import Tkinter package and create a window. Set its title and add a label to the window.
  2. Write a Python program that designs a simple login form with labels and Entry widgets, arranging them in a grid using the Grid geometry manager.
  3. Write a program using BeautifulSoup4 library for web scraping for a given URL 
  4. Develop a Sample Hello World page using Flask framework 
  5. Develop a sample web page using CherryPy / Web2Py / Bottle Framework  
  6. Extra Experiment :    Write a Python GUI Program the change background color of window using Tkinter package 

Monday, 29 June 2026

23AD02-ARTIFICIAL INTELLIGENCE

 23AD02-AI : Syllabus
 TextBooks:    
  1. "Artificial Intelligence :  A Modern Approach" S. Russel    
  2. Kevin Night and Elaine Rich, Nair B., “Artificial Intelligence (SIE)”,Mc Graw Hill

    UNIT-1  and UNIT-2  Notes   
    UNIT-1 :    PPT              Four Definitions of AI       
  1. Introduction: AI problems, foundation of AI and history of AI intelligent agents: Agents and Environments, the concept of rationality, the nature of environments, structure of agents, problem solving agents, problem formulation   ppt    PPT2
  2. IGNOU Problem Formulation Notes
UNIT - II:
  • Searching- Searching for solutions, uniformed search strategies – Breadth first search, depth first Search. Search with partial information (Heuristic search) Hill climbing, A* ,AO* Algorithms, Problem reduction, Game Playing-Adversial search, Games, mini-max algorithm, optimal decisions in multiplayer games, Problem in Game playing, Alpha-Beta pruning, Evaluation functions.
  • BFS and DFS  
  • Hill Climbing