Complete subject-wise study resources for RGPV CSE Data Science 3rd and 4th semesters, including notes, syllabus, important topics, practical resources and exam preparation material.
Welcome to the RGPV CSE Data Science 2nd Year study section. This page provides subject-wise resources for the 3rd Semester and 4th Semester of the CSE Data Science programme.
The subjects listed below follow the uploaded RGPV syllabus documents for CSE-Data Science. Students can use this page to access notes, syllabus topics, practical material and other exam-oriented resources.
Communication process, forms of communication, technical writing, business writing, reports, research papers, presentations, interviews, group discussions and grammar.
Probability spaces, random variables, probability distributions, bivariate distributions, statistics, regression, hypothesis testing and small-sample tests.
Data structures, arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, hashing and applications of data structures.
DBMS concepts, data models, ER model, relational model, SQL, relational algebra, normalization, transactions, concurrency control, recovery, indexing and storage.
Object-oriented programming concepts, classes, objects, encapsulation, abstraction, inheritance, polymorphism, exception handling, multithreading and data collections.
Set theory, relations, functions, algebraic structures, propositional logic, graph theory, matrices, eigen decomposition, SVD and hypothesis testing.
Algorithm complexity, asymptotic notation, divide and conquer, greedy algorithms, dynamic programming, backtracking, NP-hard and NP-complete problems.
Software products and processes, requirements, specification, software design, UML, testing, maintenance, project management and software quality assurance.
Introduction and applications of Data Science, data collection, preprocessing, exploratory data analysis, regression, model development and model evaluation.
Operating system fundamentals, process management, inter-process communication, memory management, file systems, disk scheduling and I/O management.
Analyze 2023–2025 RGPV papers, discover repeated topics, identify examiner patterns and prepare with the most probable upcoming-paper topics.
RGPV CSE Data Science 2nd Year includes the third and fourth semesters of the undergraduate programme. This page organizes the subjects semester-wise so that students can quickly find their required study material.
The uploaded 3rd-semester syllabus includes Technical Communication, Introduction to Probability and Statistics, Data Structures, Database Management Systems and Object Oriented Programming & Methodology. fileciteturn0file0L2-L8
The uploaded 4th-semester syllabus includes Introduction to Discrete Structure & Linear Algebra, Analysis & Design of Algorithms, Software Engineering, Introduction to Data Science and Operating Systems. fileciteturn0file1L2-L8
Students can use these subject pages for unit-wise notes, important questions, previous year questions, practical programs and quick revision before RGPV university examinations.