23ITS1-PYTHON WITH DJANGO

UNIT-V: Deploying Django Web Application on Cloud 

Creating a functional website in Django, Four Important Pillars to Deploy, registering on Heroku and GitHub, Push project from Local System to GitHub, working with Django Heroku, Working with StaticRoot, Handling WSGI with gunicorn, setting up Database & adding users.

Sample Experiments:

1. Create a Website in Django with login, and registration page..
2. Register on GitHub, and Heroku and deploy the website on Heroku with all the functionalities developed.
3. Configure Django to handle static files.

23ITS1-PYTHON WITH DJANGO

•  UNIT-IV: Connecting SQLite with Django DatabaseMigrations,FetchDataFromDatabase,DisplayingDataOnTemplates,AddingCondition On Data, Sending data from url to view, Sending data from view to template, Saving objects into database, Sorting objects, Filtering objects, Deleting objects, Difference between session and cookie, Creating sessions and cookies in Django

• Sample Experiments: 
1. Create an app in Django which fetches data from database and show as list and also save objects in database 
2. Create an app in Django for performing CRUD operations on records in a database 
3. Create an app in Django which uses session management and cookies to store and manage user sessions.

Achievements/FDPs/Research of Dr S Naganjaneyulu 2026-2027

FDP Attended 2026-2027

• Artificial Intelligence for Security for  Artificial Intelligence - A decentralized learning paradigm   July 13 – July 23, 2026 Conducted by MNIT-Jaipur

Journal Reviewer 2026-2027

• Finance Research Open (ELSEVIER Journal)

23AD02-ARTIFICIAL INTELLIGENCE

UNIT - IV  Logic concepts:

First order logic. Inference in first order logic, propositional vs. first order inference, unification & lifts forward chaining, Backward chaining, Resolution, Learning from observation Inductive learning, Decision trees, Explanation based learning, Statistical Learning methods, Reinforcement Learning.

• FOL                
• Inferences in FOL                   Forward and Backward Chaining
• Learning 

UNIT - III  Representation of Knowledge: 

Knowledge representation issues, predicate logic- logic programming, semantic nets- frames and inheritance, constraint propagation, representing knowledge using rules, rules based deduction systems. Reasoning under uncertainty, review of probability, Bayes’ probabilistic interferences and dempster shafer theory.

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.

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