Semester 1 | Semester 2 | Semester 3 | Semester 4 | Semester 5 | Semester 6 |
---|---|---|---|---|---|
1. English Language & Communication Skills 2. Mathematics-I 3. Digital Electronics 4. Introduction to Programming using Python 5. Environmental Studies 6. Python Lab 7. Digital Electronics Lab | 1. Mathematics-II 2. Data Structures 3. Database Management Systems 4. Principles of Management 5. Object Oriented Programming with C++ 6. Data Structures Lab 7. DBMS Lab | 1. Operating System 2. Computer Networks 3. Web Technologies 4. Mathematics-III (Discrete Mathematics) 5. Data Science & Analytics 6. Web Technologies Lab 7. Minor Project I | 1. Software Engineering 2. Java Programming 3. Algorithm Design and Analysis 4. Professional Ethics & Human Values 5. Elective I 6. Java Programming Lab 7. Algorithm Lab | 1. Cloud Computing 2. Big Data Analytics 3. Machine Learning 4. Elective II 5. Machine Learning Lab 6. Big Data Analytics Lab 7. Minor Project II | 1. Internet of Things (IoT) 2. Artificial Intelligence 3. Elective III 4. Seminar 5. Major Project 6. Internship |
Module | Important Topics |
---|---|
Introduction to Data Science | Basics of Data Science, Data Types, Data Science Lifecycle |
Programming for Data Science | Python/R Programming, Data Structures, Control Structures |
Data Analysis and Visualization | Statistical Analysis, Exploratory Data Analysis, Data Visualization Tools |
Machine Learning | Supervised Learning, Unsupervised Learning, Model Evaluation |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Database Management | SQL, NoSQL Databases, Data Warehousing |
Data Mining | Association Rule Learning, Clustering, Classification |
Deep Learning | Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks |
Capstone Project | Real-world Data Science Project, Project Management, Presentation Skills |