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 
7. Student DB Project using Flask

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

• Previous External Papers
• 23AD02-AI- 29th Nov 2025
• 23AD02_AI_8th JUNE 2026

    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            
• Best  First Search , A* 
• Problem Reduction
• Alpha-Beta Pruning