Untitled

GIT Curriculum Highlights

SEMESTER 1

1) Programming Logics and Techniques

(PLT)

 Introduction

 Computer Programming Fundamentals

 Algorithms

 Expressing Algorithms

 Benefits of Using Algorithms

 General Approaches in Algorithm Design

 Analysis of Algorithms 1.4 Flowcharts

 Advantages of Using Flowcharts

 Limitations of Using Flowcharts

 When to Use Flowcharts

 Flowchart Symbols & Guidelines

 Types of Flowcharts

 Program Design

 Activities involved in Program Design

 Object-Oriented Formulations

2) C-sharp (C#) Dot-Net with OOPS

(Console Based)

Introduction

 The .NET Framework - an Overview

 Framework Components

 Framework Versions

 Types of Applications which can be developed

using MS.NET

 MS.NET Base Class Library

 MS.NET Namespaces

 MSIL / Metadata and PE files.

 The Common Language Runtime (CLR)

 Managed Code

 MS.NET Memory Management / Garbage

Collection

 Common Type System (CTS)

 Common Language Specification (CLS)

 Types of JIT Compilers

 Introduction IDE Visual Studio

 OOPs-Concept

 Collections and Generics

 Assemblies and GAC

 Exception Handling

 IO Streams

 Reflection and Attributes

 Entry point method - Main.

 Compiling and Building Projects

 Using Command Line Arguments

 Why Data-types

 Global, Stack and Heap Memory

 Casting

 Casting between other data-types

 Boxing and Unboxing

 Enum and Constant

 Operators

 Control Statements

 Working with Arrays

 Working with Methods

 Pass by value and by reference and out

parameters

 Configuration File

 Developing GUI Application Using WINFORMS

 Delegates & Events

 Multithreading & Concurrency

 Setup , Packaging and Deployment

 Debugging and Diagnostics

3) Rational Data-Base Management

System (RDBMS)

 Introduction to DBMS and RDBMS

 Learn Database models

 ER Diagrams and Mapping

 Normalization and Data Redundancy

 Overview of SQL Server Management Studio,

Transact-SQL language and tools

 Master writing simple and complex queries that

retrieve data from the database

 Data Types

 Calculate information across result sets using

aggregate queries (sum, min, max, avg, etc.)

 CRUD Operations Insert, update, and delete

data

 Retrieve data from tables , grouping ,

 inbuilt functions

 SQL inbuilt Clauses(where, like etc )

 Joins ,Outer joins , Sub-queries ,Apply’s

 Databases, Backup and Restore Of Database 

Attach and Detach of Database

 Views , Batches

 Procedure and Functions

 Xml, Full-Text-Search,

 Working with Triggers

 Ensure the integrity of multiple, related

database updates by using transactions

 Retrieve data using cursors

 DMV’s , Server Optimization

 Track-Changes

4) HTML5 and CSS3

 Introduction to WEB ,HTML Basics

 Elements. Attributes, Headings

 Basics, Paragraphs, Formatting

 Links, Head, CSS ,Images ,Tables

 HTML4 Drawbacks

 HTML5 Introduction

 New Features and groups

 Backward Compatibility

 Common Terms in HTML5

 The DOCTYPE:

 Character Encoding:

 Obsolete Elements/Deprecated Elements

 HTML5 New Elements

 <article>,<aside>,<bdi>,<command>

 <details>,<dialog>,<summary>,<figure>

 <footer><header><nav><progress>

 <section><time><wbr>

 HTML5 Canvas

 HTML5 SVG

 HTML5 Drag/Drop

 HTML5 Geo location

 HTML5 Video

 HTML5 Audio

 HTML5 Input Types

 HTML5 Form Elements

 HTML5 Form Attributes

 New attributes for <input>

 HTML5 Web Storage

 HTML5 App Cache, Web Worker

 HTML Media, Multimedia

 CSS 1.0 and 2.0

 CSS3 Introduction, Modules

 Selectors, Box Model

 Backgrounds and Borders

 Text Effects

 2D/3D Transformations

 Flex-box and grid layouts

 Responsive web

 Frameworks and pre processors

 Animations

 Fonts, font-weight

 3D Transforms , Transitions

 Multiple Columns

 Media-queries

5) IAMP

(Interface Analytical Management Program)

 Demonstration of Semester Project-1

 Personality Development Program

CISE COMPLETED

SEMESTER 2

1) Front-End Development

(JavaScript)

 JavaScript Introduction

 operators, Data-types

 Control structures

 Functions, Arrow functions

 Call-back Functions

 The map, filter,

 Arrays, this, Super

 Object-oriented programming

 Constructors, new

 Building Smarter Forms

 Accessing properties a

 Manipulating objects

 The for...in loop

 JavaScript Validation

 Location Objects

 JavaScript Window and Frame Objects

 JavaScript Event Handling

 JavaScript Exception Handling

 Real World Applications of JavaScript

 HTTP Cookies

 Form

 Document Object Model (DOM)

2) Developing Web –Application

(Asp.net CORE) and Microsoft

Entity Framework Core

 ASP.NET Core.

 ASP.NET Core MVC

 ASP.NET Core Environment Setup

 Controllers & Action Methods

 Views ,Razor View

 Helpers, Html, URL,TAG, CUSTOME , BUILT IN

Helpers

 Model Binding

 Validations & Data Annotations

 State management Techniques

 Cookies ,Sessions

 Security

 Authentication and Authorization

 Implementing Security using ASP.NET Core

Identity

 MVC Design Pattern

 Entity framework ORM to do crud Operations

 Using identity frame-Work to do authorization ,

 Authentication and session management.

 Using Sql database with entity framework.

 Using Cloudinary for photo /video upload

3) Intro to ASP.net Web-forms

Development

 Web Programming Introduction

 HTML and JavaScript

 Traditional ASP Basics

 ASP.NET Introduction & Controls

 ASP.NET Architecture

 CSS & Themes

 Redirecting User to Another Page

 Master Pages

 Working with User Control

 Validation Controls

 ASP.NET State Management

 Web-Configuration File and Global.asax

 Authentication & Authorization

 Application Service Providers

 Data Bound Controls

 Web Caching

 Globalization and Localization

 AJAX.NET

 Routing

 Understanding & Publishing Web Application

DISE COMPLETED

SEMESTER 3

1) Python Core Programming

With OOP

 Introduction to Python

 Input/output

 Python Operators

 Python Data Types

 Python Control Flow

 Python Strings

 Lists , Tuples Dictionary , Sets

 List and Dictionary Comprehensions

 Functions and Lambda

 Python OOP

 Python Objects and Class

 Inheritance ,iterators

 Encapsulation ,Polymorphism

 Constructors in Python

 Collections

 Deleting Attributes and objects

 Multiple Inheritance

 Multilevel Inheritance

 Exception Handling in Python

 File Handling

 Threads

 Python Pickle

 Web-scrapping

 Python RegEx ,JSON

 Python DB Connectivity

 Python Tkinter

2) Data Exploration in Python

(Data-Science)

 Introduction

 Basics of NumPy Arrays

 Creating NumPy Array

 NumPy Array Manipulation

 Matrix in NumPy

 Operations on NumPy Array

 Reshaping NumPy Array

 Indexing NumPy Array

 Arithmetic operations on NumPy Array

 Linear Algebra in NumPy Array

 NumPy and Random Data

 Sorting and Searching in NumPy Array

 Universal Functions

 Working With Images

 Introduction to Pandas

 Installation Pandas

 Jupyter Notebook

 Creating Objects

 Pandas Data-Frame, Series

 Viewing Data

 Convert Data-Frame to NumPy Array

 Convert Series to NumPy Array

 Selection

 Dealing with Rows and Columns in Data-Frame

 loc, iloc

 Indexing and Selecting Data

 slicing technique

 Manipulating Data

 Adding, Delete rows/columns

 Truncate, Iterating

 Missing Data Sorting

 Grouping Data

 Merging, Joining and Concatenating

 Combining

 Working with Date and Time

 Working With Text Data

 Working with CSV and Excel files

 functions ,Aggregation, Mean

 Mean absolute deviation

 Pandas Built-in Data Visualization

 Visualization using Matplotlib Lib

 Visualization using Sea-born Lib

3) Front End Development using

(React.JS/REDUX/NODE)

 Learn front-end development with React.

 Understand when and how to use React

Components. Learn to pass Props and

work with them.

 Learn to write JSX and understand JSX syntax.

 Learn about the React DOM.

 Learn State Management in React.

 Learn about React Hooks.

 Learn about conditional rendering in React.

 Understand the difference between class and

functional components.

 Learn about Redux hooks

 Centralized store to manage state of

components globally.

 Learn how to use Reducers and Actions

 Introduction to Node event -driven programming

 Introduction to JavaScript event driven

programming

 components of back-end development, working

with an MVC framework

 object- oriented programming,

 Server-Side JavaScript

 Using Node on the command line NPM

 JavaScript Build Processes

 Event Loop and Emitters

 File System Interaction

 Modules

 Native Node drivers

 Webserver basis using express

 Handling incoming request in Node JS

 Serving static files / pages

 Content caching

 Streaming and optimization

 Introduction to HTTP Object

 Processing POST Data

 Handling File uploads

 Using Node as HTTP Client

 Implementing download Throttling

 Setting up HTTPS

 cross-site forgeries safty

 Sending Emails. Sending SMSs

 web socket.

 Creating your own SMTP server

 Creating Command line app using Node

 Threads (or) worker in Node JS

 Making cron jobs in Node JS.

 Node as proxy server

 Writing a functional module

 Extending the module’s API

 Deploying a module to npm

ADSE COMPLETED

SEMESTER 4

1) NEXT JS

 Next.js Fundamentals

 Build your first Next.js app | Coffee Connoisseur

Project

 Routing with Next.js | Coffee Connoisseur

 Styling in Next.js | Coffee Connoisseur

 Hydration, SEO and Different Rendering

Techniques in Next.js

 Static Coffee Store Pages | Coffee Connoisseur

 Coffee stores by Location | Coffee Connoisseur

 Serverless functions | Coffee Connoisseur

 Store Coffee Store Data using Airtable | Coffee

Connoisseur

 SWR with Client Side Rendering | Coffee

Connoisseur

 Deployment and Build Optimization | Coffee

Connoisseur

 Project Setup | Building Netflix with Next.js

Project

 Netflix Home Page and Video | Building Netflix

with Next.js

 Authentication with Magic | Building Netflix with

Next.js

 Incremental Static Regeneration | Building

Netflix with Next.js

 Hasura GraphQL | Building Netflix with Next.js

 Authentication with Hasura | Building Netflix

with Next.js

 Ratings Service and Favourited Videos Page |

Building Netflix with Next.js

 Deploying to Production | Netflix with Next.js



 Create the final GitHub repo, set-up the repo,

and finally deploy to Vercel!

2) Core Java and Advance Java

 Object-Oriented Programming Concepts

 Core Java Programming Introduction of Java

 Flow Control, operators, Datatypes

 Loops, Strings, Arrays

 Abstraction, Encapsulation, Polymorphism

 Inheritance, packages

 Constructors, Getters and setters

 Classes and Objects

 Return, this, super, final Keywords

 Auto-boxing and Unboxing

 Abstract classes and methods

 Overloading and overriding

 Enums, String-Builder, String-Buffer

 Interfaces

 Generic classes, Collections

 Exception Handling ,IO package

 NIO and NIO2

 Multithreading , Concurrency

 JDBC Connectivity

 Nested, Inner Local Classes

 Anonymous Classes

 Lambda Expressions

 Method References

 Annotations

 GUI

 Intro to Servlet

 Servlet Request and Response

 RequestDispacher, sendRedirect

 ServletConfig , ServletContext

 Attribute in Servlet

 Servlet Advance

 Session Tracking

 Event and Listener

 Servlet Filter

 Servlet CRUD

 Servlet Pagination

 ServletInputStream , ServletOutputStream

 Annotation Servlet

 SingleThreadModel

 Intro JSP

 scripting elements

 JSP tags,9 Implicit Objects

 JSP RequestJSP ResponseJSP ConfigJSP

 ApplicationJSP SessionJSP PageContext

 JSPdirectives and Action Elements

 jsp:forwardjsp:include

 Java Bean

 Expression Language

 MVC in JSP

 JSTL

 JSP Custom tags

 Example of Custom Tag Attributes Iteration

Custom URI

 JSP Pagination

 JSP CRUD

3) Flutter with DART

 Learn to set up a new Flutter project using

Android Studio. Understand the

 Widget tree and learn to use pre-made Flutter

Widgets for user interface

 design.

 Learn to incorporate Image and Text Widgets to

create simple user interfaces.

 Learn to incorporate App Icons for iOS and

Android.

 Learn how to add and load image assets to

Flutter projects. Run Flutter apps

 on iOS Simulator, Android Emulator and physical

devices.

 Use Hot Reload and Hot Restart to quickly

refresh the app UI and understand

 when to use each.

 Learning to use the Pubspec.yaml file to

incorporate dependencies, custom

 assets and fonts.

 An introduction to the Widget build() method.

 Learning to use layout widgets such as Columns,

Rows, Containers and Cards.

 Incorporating Material icons using the Icons

class.

 Understand the difference between Stateful and

Stateless Widgets and

 when they should each be used.

 Understand how callbacks can be used detect

user interaction in button

 widgets.

 Understand the declarative style of UI

programming and how Flutter widgets

 react to state changes.

 Learn to import dart libraries to incorporate

additional functionality.

 Learn about how variables, data types and

functions work in Dart 2.

 Build flexible layouts using the Flutter Expanded

widget.

 Understand the relationship between setState(),

State objects and Stateful

 Widgets.

 Learn to use the Dart package manager to

incorporate Flutter compatible

 packages into your projects.

 Understanding the structure of the

pubspec.yaml file.

 Incorporate the audio players package to play

sound.

 Learn more about functions in Dart and the

arrow syntax.

 Learn to refactor widgets and understand

Flutter's philosophy of UI as code.

 Learn about how lists and conditionals work in

Dart.

 Learn about classes and objects in Dart and how

it apply to Flutter widgets.

 Understand Object Oriented Dart and how to

apply the fundamentals of

 OOP to restructuring a Flutter app.

 Learn to use Dart Constructors to create

customisable Flutter widgets.

 Apply common mobile design patterns to

structure Flutter apps.

 Learn about structuring and organising Flutter

apps.

 Customise apps with Theme widgets.

 Refactoring widgets by extracting them as

separate Widget classes.

 Learn about Dart annotations and modifiers.

 Understand the immutability of Stateless and

Stateful Widgets and how the

 screen is updated with the build() method.

 Create custom Flutter Widgets by combining

smaller widgets.

 Learn about the difference between final and

const in Dart.

 Learn about maps, enums and the ternary

operator in Dart.

 Understand that functions are first class objects

in Dart and how functions

 can be passed around as arguments.

 Learn to build multi-screen Flutter apps by

learning about routes and the

 Navigator widget.

 Understand why flutter favours composition vs.

inheritance when

 customising widgets.

 Learn about asynchronous programming in Dart

and understand how to use

 async/await and the Futures API.

 Understand Stateful Widget lifecycle methods.

 Handling exceptions in dart with try/catch and

throw.

 Use Dart null aware operators to prevent app

crashes.

 Getting location data from both iOS and Android.

 Using the http package to perform networking

and get live data from open APIs.

 Understanding how to parse JSON data using

the dart:convert library.

 Understand how to pass data to State objects

via the Stateful Widget.

 Use the TextField Widget to take user input.

SEMESTER 5

 Understand how to pass data backwards using

the Navigator widget.

 Learn to use the Cupertino package and build

Flutter apps for iOS with UIKit

 styled Cupertino widgets.

 Use the dart:io library to detect runtime platform

and create separate UIs

 for iOS and Android in the same Flutter app.

 Learn to use Dart loops to create recurring

widgets.

 Learn to use hero animations in Flutter apps.

 Understand how the animation controller works

and create custom animations.

 Learn to use Dart mixins to extend class

functionality.

 Incorporate Firebase Cloud Firestore into your

Flutter apps. Implement

 authentication in your Flutter apps with the

Firebase Auth package.

 Build a scrolling ListView widget to learn how

Flutter creates and destroys

 reusable elements.

 Understand Dart Streams to listen to data

changes.

 Learn to use the Flutter StreamBuild to turn

streams of data into widgets that

 can be rendered.

 Understand why we need to manage state

across our widget tree.

 Learn about declarative vs. imperative

programming.

 Look at how setState works under the hood.

 Learn about prop drilling and lifting state up.

 Create a todo list app.

 Learn about the BottomSheet widget and the

ListViewBuilder. Understand

 Flutter app architecture design patterns.

 Learn to manage state with the Google

recommended Provider package.

 Quizzler - A truth or False App.

 BMI Calculator - A beautiful health app.

 Flash Chat.

 Whats App.

 Clima - The Weather app.

 Instagram.

 Bitcoin Ticker.

 Zoom Meeting.

 Twitch

 Introduction to Version Control and Git.

 Version Control Using Git and the Command

Line.

 GitHub and Remote Repositories.

 Git Ignore.

 Cloning.

 Branching and Merging.

 Optional Git Challenge.

 Forking and Pull Requests.

Sem 4 Major Project

1) Robotics and IOT with Projects

 Definition and history of robotics

 Importance and applications of robotics in daily

life

 Introduction to basic robotic components:

sensors, actuators, controllers

 Basic Electronics and Circuits Introduction to

circuit diagrams

 Hands-on activities with simple circuits

 Introduction to Programming

 Introduction to block-based programming

languages

 Simple programming exercises to control

virtual robots

 Simple robotic arm design and construction

 Sensors and Actuators

 Types of sensors and actuators used in

robotics

 Hands-on activities with sensors and actuators

 Introduction to Arduino

 Writing and uploading simple Arduino

programs

 Building basic robotic projects using Arduino

 Introduction to text-based programming

languages

 Understanding variables, loops, and functions

 Robot Design and Construction

 Understanding integrated circuits (ICs)

 Introduction to sensors and actuators

interfacing circuits

 Presentation and demonstration of projects at

the end of the semester

2) Artificial Intelligence and

Machine Learning

 Introduction Machine Learning and AI

 Introduction to Machine Learning and AI

 Overview of Machine Learning and Artificial

Intelligence

INTERNSHIP

 Types of Machine Learning: Supervised,

Unsupervised, Semi-Supervised, Reinforcement

Learning

 Applications of Supervised Machine Learning

 Python for Machine Learning

 Recap of Python Basics for Machine Learning

 Introduction to Libraries: NumPy, Pandas,

Matplotlib

 Setting up Python Environment for Machine

Learning (Anaconda, Jupyter Notebooks)

 Data Pre-processing for Machine Learning

 Data Cleaning and Handling Missing Values

 Feature Scaling and Normalization

 Encoding Categorical Data

 Data Splitting: Train-Test Splitting, Cross-

 Validation

 Regression Models

 Introduction to Regression Analysis

 Simple Linear Regression

 Multiple Linear Regression

 Polynomial Regression

 Classification Models

 Introduction to Classification

 Logistic Regression

 K-Nearest Neighbors (KNN)

 Naive Bayes Classifier

 Decision Trees

 Random Forests

 Support Vector Machines (SVM)

 Model Evaluation Metrics: Accuracy, Precision,

Recall, F1 Score, ROC Curve, AUC

 Ensemble Learning

 Introduction to Ensemble Learning

 Bagging and Boosting

 Introduction to Gradient Boosting Machines

(GBM)

 Introduction to Artificial Neural Networks (ANN)

 Basics of Neural Networks

 Perceptron and Multilayer Perceptron (MLP)

 Activation Functions

 Back propagation Algorithm

 Deep Learning with Tensor Flow and Keras

 Introduction to TensorFlow and Keras

 Building Deep Neural Networks

 Convolutional Neural Networks (CNN)

 Recurrent Neural Networks (RNN)

3) AWS Cloud Computing

 AWS Introduction

 AWS Technical Essentials

 AWS Business Essentials

 Architecting on AWS

 Advanced Architecting on AWS

 System Operations on AWS

 Big Data on AWS

 Developing on AWS

 AWS Engineering on AWS

 Certification

 Introduction to Cloud Computing

 Why Cloud Computing?

 Benefits of Cloud Computing

 Cloud Computing Deployment Models

 Private Cloud

 Public Cloud

 Hybrid Cloud

 Cloud Delivery Models

 Software as a service(SaaS)

 Platform as a Service (PaaS)

 Infrastructure as a Service(IaaS)

 Introduction to AWS

 Subscription to AWS

 AWS free tier – Limits and Usage

 Introduction to the AWS Management Console

 Compute Services

 Storage Services

 Networking and Content Delivery

 Database Services

 Security and Compliance

 Monitoring and Management

 Scalability and High Availability

 Advanced Topics and Projects

4) Final GIT Project

GIT COMPLETED