Ravindrababu Ravula 

Course available for 3 years after purchase


GATE CS

Instructor Name: Prof Ravindrababu Ravula


Course Fee: ₹28,999 + 18% GST


A comprehensive LIVE program designed to cover the complete GATE Computer Science syllabus with a structured and consistent approach to learning and practice.

Classes will be held between 6 AM to 8 AM and 6 PM to 10 PM as per educator availability. 

Course Overview

Gate CS Core is built to provide complete syllabus coverage through well-structured LIVE classes, supported by regular practice and evaluation.

The focus is on building:

strong conceptual understanding
problem-solving ability
familiarity with GATE-level questions
The course follows a clear and organized flow, helping you progress steadily throughout your preparation.

Course Format

Fully LIVE classes with topic-wise structured delivery
Live doubt-solving sessions
Discussion Forum group for continuous discussion and support
Lecture notes will be provided after every lecture for revision.
The learning experience is designed to be simple to follow and consistent over time.

What You Will Learn

Core Computer Science subjects required for GATE
Application of concepts through problem-solving
Approach to solving exam-level questions
Techniques to improve accuracy and speed
Academic Coverage



Structured Concept Delivery

Topics are taught in a clear and logical sequence to ensure proper understanding.

Practice After Every Lecture

Assignments are provided after each session with detailed solutions.

GATE PYQs with Explanation

Previous Year Questions are discussed with complete analysis and approach.

High-Quality Practice Sets

Additional curated questions to strengthen problem-solving ability.



Complete Syllabus Coverage

Engineering Mathematics

Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and
lattices. Monoids, Groups. Graphs: connectivity, matching, colouring. Combinatorics: counting,
recurrence relations, generating functions.

Linear Algebra: Matrices, determinants, system of linear equations, eigenvalues and eigenvectors, LU
decomposition.

Calculus: Limits, continuity and differentiability, Maxima and minima, Mean value theorem,
Integration.

Probability and Statistics: Random variables, Uniform, normal, exponential, Poisson and binomial
distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem

Digital Logic
Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and
computer arithmetic (fixed and floating point).

Computer Organization and Architecture
Machine instructions and addressing modes. ALU, data‐path and control unit. Instruction pipelining,
pipeline hazards. Memory hierarchy: cache, main memory and secondary storage; I/O interface
(interrupt and DMA mode).

Programming and Data Structures
Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary
heaps, graphs.

Algorithms
Searching, sorting, hashing. Asymptotic worst case time and space complexity. Algorithm design
techniques: greedy, dynamic programming and divide‐and‐conquer. Graph traversals, minimum
spanning trees, shortest paths.

Theory of Computation
Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and
context-free languages, pumping lemma. Turing machines and undecidability.

Compiler Design
Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code
generation. Local optimization, Data flow analyses: constant propagation, liveness analysis, common
sub expression elimination.

Operating System
System calls, processes, threads, inter‐process communication, concurrency and synchronization.
Deadlock. CPU and I/O scheduling. Memory management and virtual memory. File systems.

Databases
ER‐model. Relational model: relational algebra, tuple calculus, SQL. Integrity constraints, normal
forms. File organization, indexing (e.g., B and B+ trees). Transactions and concurrency control.

Computer Networks
Concept of layering: OSI and TCP/IP Protocol Stacks; Basics of packet, circuit and virtual circuitswitching; Data link layer: framing, error detection, Medium Access Control, Ethernet bridging;
Routing protocols: shortest path, flooding, distance vector and link state routing; Fragmentation and IP
addressing, IPv4, CIDR notation, Basics of IP support protocols (ARP, DHCP, ICMP), Network
Address Translation (NAT); Transport layer: flow control and congestion control, UDP, TCP, sockets;
Application layer protocols: DNS, SMTP, HTTP, FTP, Email.

Verbal Aptitude

Basic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun
agreement, and other parts of speech
Basic vocabulary: words, idioms, and phrases in context.
Reading and comprehension, Narrative sequencing.

Quantitative Aptitude

Data interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2-
and 3-dimensional plots, 

GATE CS & DA Core 2029

Ravindrababu Ravula

Maharashtra

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Hey! I’m learning with Ravindrababu Ravula and you can too. Here’s a course you might like: GATE CS & DA Core 2029 by Ravindrababu Ravula 
    https://voujhg.courses.store/834702?utm_source=copy-link&utm_medium=social&utm_campaign=web-course-share