RGPV Data Science 5th Semester Notes
Study Theory of Computation, Machine Learning and Data Science departmental elective subjects as prescribed in the RGPV syllabus.
Open 5th Semester
RGPV Data Science Engineering
• Third Year
• 5th & 6th Semester
RGPV Data Science Third Year Notes
Access RGPV Data Science Engineering 5th and 6th semester notes, subject-wise study material, important questions, previous year papers and unit-wise examination resources.
2
Semesters
10+
Subjects & Electives
50+
Unit Topics
Select Your Semester
Choose the RGPV Data Science semester you want to study.
RGPV Data Science 6th Semester Notes
Study Deep Learning, Computer Networks, departmental electives and open electives including Big Data, NLP and Agile Software Development.
Open 6th SemesterRGPV Data Science 5th Semester Subjects
V SEMESTER
01
CD 501
Theory of Computation
Automata theory, finite automata, grammars, PDA, Turing machines, computability and complexity.
02
CD 502
Machine Learning
Machine learning lifecycle, clustering, classification, ensemble learning, PCA and learning theory.
03
CD 503 (A)
Data Mining & Warehousing
Data warehouses, OLAP, preprocessing, classification, clustering and association rule mining.
04
CD 503 (B)
Pattern Recognition
Pattern classification, clustering, feature extraction, feature selection and modern recognition techniques.
05
CD 503 (C)
Introduction to Toolkits for Data Science
Python, R, data science toolkits, deep learning, time series and cloud computing.
06
CD 504 (A)
Computer Graphics & Visualization
Raster graphics, transformations, clipping, 3D graphics, visualization and multimedia.
07
CD 504 (B)
Data Compression
Lossless and lossy compression, Huffman coding, dictionary methods, scalar and vector quantization.
08
CD 504 (C)
Computer Organization & Architecture
Computer arithmetic, CPU organization, ISA, memory organization, I/O and parallel architectures.
RGPV Data Science 6th Semester Subjects
VI SEMESTER
01
CD 601
Deep Learning
Neural networks, backpropagation, optimization, CNN, RNN, LSTM, attention and generative models.
02
CD 602
Computer Networks
Network architecture, data link layer, MAC protocols, routing, TCP/IP and application layer protocols.
03
CD 603 (A)
Big Data Analytics
Big data concepts, Hadoop, HDFS, MapReduce, Hive, Pig, NoSQL and social network mining.
04
CD 603 (B)
Data Acquisition
Digital data systems, data analysis, file systems, data recovery and digital communication.
05
CD 603 (C)
Advanced Database Management System
Object databases, distributed databases, advanced transactions, active databases, multimedia databases and web databases.
06
CD 604 (A)
Information Extraction & Retrieval
Information retrieval models, TF-IDF, search engines, PageRank, ranking, recommendation and text mining.
07
CD 604 (B)
Agile Software Development
Agile principles, Scrum, XP, product backlog, sprint planning, refactoring, continuous integration and TDD.
08
CD 604 (C)
Natural Language Processing
NLP fundamentals, text preprocessing, POS tagging, parsing, semantics, speech processing and NLP applications.
RGPV Data Science Third Year Notes
RGPV Data Science Third Year consists of the fifth and sixth semesters. This page provides an organized overview of the subjects prescribed in the RGPV Data Science syllabus so students can quickly navigate to the semester and subject they need.
RGPV Data Science 5th Semester
The fifth semester includes CD501 Theory of Computation and CD502 Machine Learning. The syllabus also includes departmental elective choices under CD503 and CD504. These electives cover areas including Data Mining & Warehousing, Pattern Recognition, Data Science Toolkits, Computer Graphics & Visualization, Data Compression and Computer Organization & Architecture.
RGPV Data Science 6th Semester
The sixth semester includes CD601 Deep Learning and CD602 Computer Networks. Students also have departmental elective options under CD603, including Big Data Analytics, Data Acquisition and Advanced Database Management System. CD604 provides open elective options including Information Extraction & Retrieval, Agile Software Development and Natural Language Processing.
Unit-Wise RGPV Data Science Study Material
RGPV Notes Hub can organize Data Science study material subject-wise and unit-wise. Students can use individual subject pages for detailed notes, important questions, previous year question papers and examination-oriented preparation.
RGPV Data Science Machine Learning Notes
Machine Learning is included as CD502 in the fifth semester. Its syllabus covers machine learning fundamentals, clustering, classification, ensemble learning, random forests, dimensionality reduction and learning theory.
RGPV Data Science Deep Learning Notes
Deep Learning is included as CD601 in the sixth semester. The syllabus covers neural networks, optimization, autoencoders, convolutional neural networks, recurrent neural networks, LSTM, attention mechanisms and deep generative models.
Frequently Asked Questions
Common questions about RGPV Data Science Third Year Notes.
Which semesters are included in RGPV Data Science Third Year?
RGPV Data Science Third Year includes the 5th semester and 6th semester.
What is CD501 in RGPV Data Science?
CD501 is Theory of Computation in the RGPV CSE-Data Science/Data Science fifth semester syllabus.
What is CD502 in RGPV Data Science?
CD502 is Machine Learning in the fifth semester syllabus.
What is CD601 in RGPV Data Science?
CD601 is Deep Learning in the sixth semester syllabus.
What is CD602 in RGPV Data Science?
CD602 is Computer Networks in the sixth semester syllabus.
Is RGPV Notes Hub an official RGPV website?
No. RGPV Notes Hub is an independent educational platform and is not an official website of Rajiv Gandhi Proudyogiki Vishwavidyalaya.