Access 3rd and 4th semester notes, previous year question papers, important questions and unit-wise study material for RGPV Artificial Intelligence and Machine Learning students.
Semesters
Subjects
Core AI & ML Subjects
RGPV Artificial Intelligence and Machine Learning III Semester subjects and study material.
RGPV Artificial Intelligence and Machine Learning IV Semester subjects and study material.
RGPV Artificial Intelligence and Machine Learning Second Year covers important subjects from the third and fourth semesters of the undergraduate engineering curriculum.
The third semester includes Technical Communication, Introduction to Probability and Statistics, Data Structures, Artificial Intelligence, Object Oriented Programming & Methodology and Computer Workshop / Introduction to Python-I.
The fourth semester includes Introduction to Discrete Structure & Linear Algebra, Analysis & Design of Algorithms, Software Engineering, Computer Organization & Architecture, Machine Learning and Java Lab.
This page provides students with a simple way to access semester-wise and subject-wise study material, notes, previous year question papers and important examination resources.
Students can use these resources for unit-wise preparation, revision, numerical practice, programming practice, laboratory preparation and RGPV semester examination preparation.
Common questions about RGPV AI & ML Second Year Notes.
RGPV Artificial Intelligence and Machine Learning Second Year includes the 3rd Semester and 4th Semester.
The 3rd Semester includes AL301 Technical Communication, AL302 Introduction to Probability and Statistics, AL303 Data Structures, AL304 Artificial Intelligence, AL305 Object Oriented Programming & Methodology and AL306 Computer Workshop / Introduction to Python-I.
The 4th Semester includes AL401 Introduction to Discrete Structure & Linear Algebra, AL402 Analysis & Design of Algorithms, AL403 Software Engineering, AL404 Computer Organization & Architecture, AL405 Machine Learning and AL406 Java Lab.
Yes. The subject pages can be organized according to the official RGPV Artificial Intelligence and Machine Learning syllabus units and topics so students can prepare their subjects systematically.
Previous year question papers and important questions can be provided on the respective AI & ML subject pages.
No. RGPV Notes is an independent educational platform created for student support and examination preparation.