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 

23AD02-ARTIFICIAL INTELLIGENCE

•  23AD02-AI : Syllabus

•  TextBooks:    
• "Artificial Intelligence :  A Modern Approach" S. Russel    
• Kevin Night and Elaine Rich, Nair B., “Artificial Intelligence (SIE)”,Mc Graw Hill

•     UNIT-1 :    PPT              Four Definitions of AI       
• 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
• IGNOU Problem Formulation Notes

C Programming - 2026

Text Books 

==========

•    Let us C by yaswant kantekar              

23CSS1-PYTHON PROGRAMMING

UNIT-5 :Introduction to Data Science: Functional Programming, JSON and XML in Python, NumPy with Python, Pandas.

• NumPy Material

• Pandas Material

• Matplot lib Material

• Experiments --- Programs on Numpy, Pandas, Matplot lib

Role of UML in Software Industry

•  Role of UML in Software Industry

Certifications & FDP (2026)

•  Agentic AI - FDP at ANU, Guntur Certificate

23AM01-Machine Learning

 UNIT-3: 

• Models Based on Decision Trees PPT             Notes
• Decision Trees for Classification, Impurity Measures, Properties, Regression Based on Decision Trees, Bias–Variance Trade-off, Random Forests for Classification and Regression. The Bayes Classifier: Introduction to the Bayes Classifier, Bayes’ Rule and Inference, The Bayes Classifier and its Optimality, Multi-Class Classification, Class Conditional Independence and Naive Bayes Classifier (NBC)            

 UNIT-4:

• Linear Discriminants for Machine Learning:         Notes
• Introduction to Linear Discriminants, Linear Discriminants for Classification, Perceptron Classifier, Perceptron Learning Algorithm, Support Vector Machines, Linearly Non-Separable Case, Non-linear SVM, Kernel Trick, Logistic Regression, Linear Regression, Multi-Layer Perceptron's (MLPs), Backpropagation for Training an MLP. 

 UNIT-5: 

• Fuzzy C Means