Course Information
Course Code
BIS601
Credits
01
Total Hours
40 hours
Examination
Practicle (3 hours) (Integrated)
Course Objectives
- To become familiar with data and visualize univariate, bivariate, and multivariate data using statistical techniques and dimensionality reduction.
- To understand various machine learning algorithms such as similarity-based learning, regression, decision trees, and clustering.
- To familiarize with learning theories, probability-based models and developing.
Course Modules
Full Full Stack Development (Integrated) Lab Manual
Experiment 1: JavaScript Basics
Topics: Console Log & Alert Box Calculation, Array Operations (Add, Remove, Find Index).
Experiment 2: String Manipulation & Palindrome Check
Topics: String Length, Substring, Replace, Palindrome Function.
Experiment 3: Object Manipulation
Topics: Student Object with Properties & Methods,Dynamically Add Property, Loop through Object.
Experiment 4: Event Handling in JavaScript
Topics: Button Click Event,Image Mouseover Event,Key Press Event.
Experiment 5: React Issue Tracker
Topics: Functional Component to Display Issues List.
Experiment 6: React Counter Component
Topics: Increment/Decrement Count, useEffect for Initial Data Fetch,Double Count & Reset Button.
Experiment 7: Express.js API
Topics: CRUD API for Products with Middleware.
Experiment 8: MongoDB & Express Integration
Topics: Connect to MongoDB, CRUD Operations ,Mongoose Product Schema & Data Insertion , Fetch & Display Products in React , Add New Product & Update List.