Coding in Noida

Module 1: Fundamentals of C Programming (Day 1-2)
⦿ Overview of C Programming Concepts
⦿ Setting up the development environment (IDE, compiler)
⦿ Basic syntax of C programs and their structure
⦿ Concepts of variables, constants, various data types and operators in C language
Labs
⦿ Lab 1.1: Setting Up IDE and Compiler
⦿ Lab 1.2: Writing a basic C Program

Module 2: Conditions and Looping in C (Day 3-4)
⦿ Conditional statements such as if-else and switch-case
⦿ Looping constructs such as while, do-while and for
⦿ Using break and continue statements
⦿ Understanding logical and relational operators
Labs
⦿ Lab 2.1: Implementing Conditional Statements
⦿ Lab 2.2: Working with Looping Constructs

Module 3: Arrays and Pointers (Day 5-6)
⦿ Declaring and initializing arrays in C
⦿ Accessing array elements and multi-dimensional arrays
⦿ Understanding pointers and memory management
⦿ Memory allocation such as malloc and free
Labs
⦿ Lab 3.1: Manipulating Arrays
⦿ Lab 3.2: Exploring Memory Allocation with malloc and free

Module 4: Functions and Modular Programming (Day 7-8)
⦿ Function defining & functional call in C
⦿ Argument passing methods such as by value & by reference
⦿ Writing recursive functions for repetitive tasks
⦿ Organizing code into separate modules and header files
Labs
⦿ Lab 4.1: Implementing Functions
⦿ Lab 4.2: Modular Programming in C

Module 5: File Handling and Input/Output (Day 9-10)
⦿ Working with file streams in C (fopen, fclose, fread, fwrite)
⦿ Reading and writing text and binary files
⦿ Error handling and file manipulation operations
⦿ Implementing command-line arguments (argc, argv)
Labs
⦿ Lab 5.1: File Input and Output Operations
⦿ Lab 5.2: Command-Line Argument Processing

Module 6: Data Structures (Day 11-12)
⦿ Understanding data structures such as arrays, linked lists, queues and stacks
⦿ Sorting & searching algorithms such as binary search, bubble sort, heap sort and insertion sort
⦿ Understanding algorithm complexity- Big O notation
Labs
⦿ Lab 6.1: Implementing Data Structures
⦿ Lab 6.2: Implementing Sorting & Searching

Module 7: Advanced Topics (Day 13-14)
⦿ Memory management & allocation techniques such as static and dynamic
⦿ Advanced pointer concepts such as pointer to functions and functional pointers
⦿ Handling character strings and string manipulation functions (strcpy, strcat)
⦿ Introduction to macros
Labs
⦿ Lab 7.1: Memory Management and Pointers
⦿ Lab 7.2: String Handling and Preprocessor Directives

Module 8: Debugging and Error Handling Techniques (Day 15-16)
⦿ Techniques for debugging and troubleshooting C programs
⦿ Handling runtime errors (segmentation faults, memory leaks)
⦿ How to perform error handling and defensive programming
Labs
⦿ Lab 8.1: Debugging C Programs
⦿ Lab 8.2: Defensive Programming Practices

Module 1: Python Introduction (Day 1-2
⦿ Python programming language overview
⦿ Setting up Python environment (interpreter, IDE)
⦿ Basic syntax and structure of Python programs
⦿ Data types, variables, operators, basic I/O
Labs
⦿ Lab 1.1: Set Up Python Environment
⦿ Lab 1.2: First Python Program

Module 2: Control Flow and Data Structures (Day 3-4)
⦿ Conditional statements (if-else, elif)
⦿ Looping (for loop, while loop)
⦿ Lists, tuples, dictionaries, sets in Python
⦿ Iterators, generators
Labs
⦿ Lab 2.1: Implement Conditional Statements
⦿ Lab 2.2: Work with Loops, Data Structures

Module 3: Functions and Modules (Day 5-6)
⦿ Defining, calling functions in Python
⦿ Function parameters, return values
⦿ Handling exceptions, error handling
⦿ Organizing code into modules, packages
Labs
⦿ Lab 3.1: Implement Functions
⦿ Lab 3.2: Modular Programming

Module 4: File Handling and I/O (Day 7-8)
⦿ Reading, writing files in Python (open, read, write, close)
⦿ Working with file formats (text, CSV, JSON)
⦿ understanding context managers such as with statement for file operations
⦿ Serialization, deserialization of data objects
Labs
⦿ Lab 4.1: File I/O Operations
⦿ Lab 4.2: Different File Formats

Module 5: Object-Oriented Programming (Day 9-10)
⦿ Introduction to OOP concepts
⦿ Creating classes, objects in Python
⦿ Inheritance, polymorphism, encapsulation
⦿ Operator overloading, special methods
Labs
⦿ Lab 5.1: Implement Classes, Objects
⦿ Lab 5.2: OOP Practice

Module 6: Advanced Python Topics (Day 11-12)
⦿ Decorators, generators, context managers
⦿ Regular expressions (re module)
⦿ Multithreading, multiprocessing
⦿ Introduction to GUI programming (Tkinter)
Labs
⦿ Lab 6.1: Explore Decorators, Generators
⦿ Lab 6.2: Multithreading, GUI Programming

Module 7: Data Analysis and Visualization (Day 13-14)
⦿ NumPy, Pandas for data manipulation, analysis
⦿ Plotting with Matplotlib, Seaborn for visualization
⦿ Python libraries for statistical analysis Labs
⦿ Lab 7.1: Data Manipulation and Analysis using python libraries

Module 1: Introduction to Java Programming (Day 1-2)
⦿ Overview of Java
⦿ Java development environment set-up - JDK and IDE
⦿ Syntax of Java programs
⦿ Data types, variables and operators in Java
Labs:
⦿ Lab 1.1: Java Environment set-up
⦿ Lab 1.2: Our First Program in Java

Module 2: Control Flow & Data Structures (Day 3-4)
⦿ Conditional statements such as if-else and switch-case
⦿ Looping constructs such as for loop and while loop
⦿ Arrays and ArrayList for data storage
⦿ Overview of Java collections such as List, Set and Map
Labs:
⦿ Lab 2.1: Implementing Conditional Statements
⦿ Lab 2.2: Working with Loops and Data Structures

Module 3: Object-Oriented Programming (OOPS) concepts (Day 5-6)
⦿ Overview of object-oriented programming
⦿ Concepts of classes and objects in Java language
⦿ Understanding inheritance, polymorphism, encapsulation and abstraction
⦿ Introduction to Overriding methods and its types
Labs:
⦿ Lab 3.1: Implementing Classes and Objects
⦿ Lab 3.2: Object-Oriented Programming Practice

Module 4: Exception Handling and File Input/Output (I/O) (Day 7-8)
⦿ Exception handling and errors in Java
⦿ Reading from and writing to files using Java I/O Application Programmable Interfaces (API)
⦿ Working with binary file and text file formats
⦿ Object persistence using Java serialization
Labs:
⦿ Lab 4.1: Exception and Error Handling in Java
⦿ Lab 4.2: File I/O Operations

Module 5: Multithreading and Concurrency (Day 9-10)
⦿ Introduction to multithreading in Java
⦿ Creating and managing threads
⦿ Understanding thread class and Runnable interface
⦿ Synchronization and coordination between multiple threads
⦿ Atomic operations and Concurrency in Java
Labs:
⦿ Lab 5.1: Exploring Multithreading
⦿ Lab 5.2: Concurrent Programming using Java

Module 6: Advanced Java (Day 11-12)
⦿ Type parameterization in Java
⦿ Lambda expressions and functional interfaces
⦿ Data processing using Java streams
⦿ Overview of Java Database Connectivity (JDBC)
Labs:
⦿ Lab 6.1: Exploring Generics and Lambda Expressions
⦿ Lab 6.2: Practical implementations of JDBC

Module 7: Graphical User Interface (GUI) Programming with JavaFX (Day 13-14)
⦿ Overview of JavaFX for GUI Development
⦿ Use of FXML and Scene Builder for designing User Interface (UI) layouts
⦿ Event handling in JavaFX applications
⦿ Animations and transitions in JavaFX
Labs:
⦿ Lab 7.1: Creating UI Components using JavaFX
⦿ Lab 7.2: Developing Interactive JavaFX Applications

Module 1: C++ Programming Overview (Day 1-2)
⦿ Overview of C++ language with its features
⦿ Setting up the C++ development environment such as compiler and IDE
⦿ Basic structure of C++ programs
⦿ Overview of data types, variables, operators, and basic input/output (I/O)
Labs:
⦿ Lab 1.1: Setting Up C++ Environment
⦿ Lab 1.2: Our First Program written in C++

Module 2: Control Flow and Data Structures (Day 3-4)
⦿ Conditional statements such as if-else and switch-case
⦿ Looping constructs such as for loop, while loop and do-while loop
⦿ Arrays, strings, and standard library containers such as vector and array
⦿ Pointers in C++ language
⦿ Memory Management need in C++
Labs:
⦿ Lab 2.1: Implementing Conditional Statements
⦿ Lab 2.2: Working with Loops and Data Structures

Module 3: Object-Oriented Programming (OOP) in C++ (Day 5-6)
⦿ Introduction to OOPS concepts in C++
⦿ Understanding classes and objects
⦿ Concepts of Inheritance, polymorphism, abstraction, and encapsulation
⦿ Introduction to Constructor and destructor functions
Labs:
⦿ Lab 3.1: Implementing Classes and Objects
⦿ Lab 3.2: Object-Oriented Programming Practice

Module 4: Advanced concepts in C++ (Day 7-8)
⦿ Generic programming with templates in C++
⦿ Exception and error handling using try-catch blocks
⦿ Standard Template Library (STL) containers & algorithms
⦿ Automatic memory management using Smart pointers
Labs:
⦿ Lab 4.1: Exploring Templates & Generic Programming
⦿ Lab 4.2: Working with STL Containers and Algorithms

Module 5: File Handling and Input/Output (Day 9-10)
⦿ Reading from and writing to files using C++ I/O streams
⦿ File handling operations (open, close, read, write)
⦿ Working with text and binary file formats
⦿ Serialization and deserialization of data objects
Labs:
⦿ Lab 5.1: File Input and Output Operations
⦿ Lab 5.2: Working with Different File Formats

Module 6: Multithreading and Concurrency (Day 11-12)
⦿ Introduction to multithreading in C++
⦿ Creating and managing threads using std::thread library
⦿ Synchronization and coordination among threads
⦿ Atomic operations and thread safety considerations
Labs:
⦿ Lab 6.1: Implementing Multithreading in C++
⦿ Lab 6.2: Concurrent Programming with C++

Module 7: Advanced Topics in C++ (Day 13-14)
⦿ Advanced memory management techniques (RAII, move semantics)
⦿ Lambda expressions and functional programming in C++
⦿ Networking and socket programming with C++ libraries
⦿ Introduction to game development with C++ and OpenGL
Labs:
⦿ Lab 7.1: Exploring Memory Management in C++
⦿ Lab 7.2: Advanced C++ Programming Applications

Module 1: Overview of Web Development (Day 1-2)
⦿ Introduction web development technologies: HTML, CSS, and JavaScript
⦿ Setting up the development environment such as text editor and browser
⦿ Basic structure of an HTML document
⦿ Introduction to CSS for styling web pages
Labs:
⦿ Lab 1.1: Setting Up the Environment for Web Development
⦿ Lab 1.2: Our First HTML webpage

Module 2: HTML Fundamentals (Day 3-4)
⦿ Understanding HTML elements, tags, and attributes
⦿ Understanding HTML5 elements for better structure
⦿ Embedding links, images, and multimedia content
⦿ Forms and input elements for user interaction
Labs:
⦿ Lab 2.1: Creating HTML5 Structure
⦿ Lab 2.2: Building Forms and embedding contents with HTML

Module 3: CSS Styling and Layout (Day 5-6)
⦿ Introduction to Cascading Style Sheets (CSS)
⦿ Learning the process of applying styles to HTML elements such as inline, internal, and external
⦿ Concepts of selectors, properties, and values in CSS
⦿ Box model for layout such as margin, border, and padding
Labs:
⦿ Lab 3.1: Styling in HTML Elements with CSS
⦿ Lab 3.2: Creating Layouts with CSS in an HTML document

Module 4: Advanced techniques in CSS (Day 7-8)
⦿ CSS positioning such as static, relative, absolute, and fixed
⦿ Understanding floats & clearing floats
⦿ Responsive webpage design principles
⦿ CSS preprocessors such as Sass and Less for efficient styling
Labs:
⦿ Lab 4.1: Positioning Elements
⦿ Lab 4.2: Implementation of Responsive Design in CSS

Module 5: Introduction to JavaScript (Day 9-10)
⦿ Concepts of JavaScript programming language
⦿ Adding interactivity to web pages with JavaScript
⦿ Basic syntax & their data types in JavaScript
⦿ Document Object Model (DOM) manipulation for dynamic content
Labs:
⦿ Lab 5.1: Providing JavaScript to HTML webpages
⦿ Lab 5.2: Manipulating the DOM with JavaScript

Module 6: JavaScript Functions and Control Flow (Day 11-12)
⦿ Writing and calling functions in JavaScript
⦿ Conditional statements like if-else and switch-case
⦿ Looping constructs such as for loop, while loop and do-while loop
⦿ Error handling with try-catch blocks in JS
Labs:
⦿ Lab 6.1: Implementing JavaScript Functions
⦿ Lab 6.2: Working with Control Flow in JavaScript

Module 7: Advanced Concepts of JavaScript (Day 13-14)
⦿ Overview of Objects, arrays, and object-oriented programming in JavaScript
⦿ Working with JSON data and APIs
⦿ Asynchronous JavaScript and AJAX for server communication
⦿ Introduction to client-side frameworks/libraries e.g. React, Vue.js, etc.
Labs:
⦿ Lab 7.1: Working with Objects and Arrays in JavaScript
⦿ Lab 7.2: AJAX for Fetching Data

Module 1: Introduction to Databases and SQL (Day 1-2)
⦿ Overview of databases and their importance in software development
⦿ Understanding SQL and its role in managing relational databases
⦿ Setting up the SQL development environment such as database management system and IDE
⦿ Learning SQL syntax and its commands such as SELECT, INSERT, UPDATE, DELETE, etc.
Labs:
⦿ Lab 1.1: Setting Up an SQL Environment
⦿ Lab 1.2: Our First SQL Database

Module 2: Data Definition Language (DDL) (Day 3-4)
⦿ Creating and modifying database objects such as tables, views, and indexes
⦿ Understanding data types and constraints in SQL
⦿ Working with primary keys, foreign keys, and relationships between tables
⦿ Understanding database schema using DDL commands like CREATE, ALTER, and DROP
Labs:
⦿ Lab 2.1: Creating Database Tables
⦿ Lab 2.2: Modifying Database Schema

Module 3: Data Manipulation Language (DML) (Day 5-6)
⦿ Understanding inserting, updating, and deleting data in SQL tables
⦿ Querying data using the SELECT statement with various clauses such as WHERE, ORDER BY, GROUP BY, and HAVING
⦿ Sorting data based on specific criteria
⦿ Joining multiple tables to retrieve data
Labs:
⦿ Lab 3.1: Inserting & Updating Data
⦿ Lab 3.2: Querying Data with SELECT Statement

Module 4: Advanced concepts in SQL Queries (Day 7-8)
⦿ Working with sub-queries and nested queries
⦿ Performing set operations such as UNION, INTERSECT, and EXCEPT
⦿ Data manipulation tasks with SQL functions such as string functions, date functions, and mathematical functions
⦿ Implementing conditional logic & CASE expressions in SQL queries
Labs:
⦿ Lab 4.1: Exploring the concepts of Sub-queries & Nested Queries
⦿ Lab 4.2: Using Set Operations & SQL Functions

Module 5: Data Control Language (DCL) & Transaction Management (Day 9-10)
⦿ Granting & revoking privileges on SQL database objects
⦿ Managing user access control & security in SQL databases
⦿ Understanding SQL transactions and its control commands such as COMMIT, ROLLBACK, and SAVEPOINT
⦿ Handling database concurrency issues
Labs:
⦿ Lab 5.1: Managing User Access and Permissions
⦿ Lab 5.2: Transaction Management in SQL

Module 6: Stored Procedures in SQL (Day 11-12)
⦿ Understanding SQL scripts & stored procedures for automation
⦿ Creating & executing user-defined functions in SQL
⦿ Dynamic SQL for flexible data retrieval
⦿ Error and exception handling in SQL scripts
Labs:
⦿ Lab 6.1: Our first SQL Stored Procedures
⦿ Lab 6.2: Implementing SQL Functions & Dynamic SQL

Module 1: Introduction to Artificial Intelligence and Machine Learning (Day 1-2)
⦿ Overview of Artificial Intelligence & Machine Learning
⦿ Types of Machine Learning
⦿ Setting up the development environment for AI/ML like Python, and Jupyter Notebook
⦿ Importance of Python programming language for AI/ML
Labs:
⦿ Lab 1.1: Introduction to Python 3.12 for AI/ML

Module 2: Data Preprocessing and Exploration (Day 3-4)
⦿ Importance of data preprocessing in ML pipelines
⦿ Handling missing values, outliers, and categorical variables
⦿ Exploratory Data Analysis (EDA)
⦿ Understanding Feature scaling, normalization, and transformation
Labs:
⦿ Lab 2.1: Implementing Data Preprocessing
⦿ Lab 2.2: Exploring Exploratory Data Analysis (EDA) Module 3: Supervised Learning Algorithms (Day 5-6)
⦿ Understanding supervised learning with its applications
⦿ Working with regression algorithms such as linear regression and polynomial regression
⦿ Understanding the concepts of classification algorithms like logistic regression, random forests and support vector machines
⦿ Model evaluation metrics like accuracy, precision, recall, ROC-AUC
Labs:
⦿ Lab 3.1: Working on Regression Modeling & Classification Modeling

Module 4: Unsupervised Learning Algorithms (Day 7-8)
⦿ Learning about unsupervised learning with its applications
⦿ Clustering algorithms such as K-means clustering and hierarchical clustering
⦿ Dimensionality reduction techniques like Principal Component Analysis and t-Distributed Stochastic Neighbor Embedding
⦿ Understanding anomaly detection and outlier detection methods
Labs:
⦿ Lab 4.1: Performing Clustering Analysis & Dimensionality Reduction Module 5: Introduction to Neural Networks (Day 9-10)
⦿ Understanding Artificial Neural Networks (ANN)
⦿ Deep learning frameworks like TensorFlow and its usage
⦿ Building deep learning models like feedforward neural networks, convolutional neural networks, and recurrent neural networks
⦿ Training of Deep learning models
⦿ Implementing Transfer learning & fine-tuning pre-trained models
Labs:
⦿ Lab 5.1: Building Neural Networks with TensorFlow
⦿ Lab 5.2: Convolutional Neural Networks (CNNs) for Image Classification

Module 6: Natural Language Processing (NLP) (Day 11-12)
⦿ Understanding Natural Language Processing (NLP)
⦿ Text preprocessing techniques such as tokenization, stemming, and lemmatization
⦿ Building and using NLP models for sentiment analysis, text classification, and named entity recognition
⦿ Working with word embeddings such as Word2Vec and GloVe
Labs:
⦿ Lab 6.1: Text Preprocessing & Sentiment Analysis

Module 7: Model Deployment (Day 13-14)
⦿ Deployment of machine learning models towards production environments
⦿ Docker for model deployment
⦿ RESTful APIs and model serving with Flask
⦿ Monitoring and scaling machine learning applications in production
Labs:
⦿ Lab 7.1: Working on ML Models with Flask
⦿ Lab 7.2: Monitoring & Scaling ML Applications