GATE 2025 CS & IT Accelerator: Your Shortcut to Success

About Course

Fast-track your preparation for the GATE 2025 Computer Science and Information Technology (CS & IT) exam with this comprehensive and streamlined course. Covering all key subjects, this course blends theoretical knowledge, problem-solving strategies, and ample practice opportunities to help you achieve your dream rank.

Course Content

Section 1: Engineering Mathematics
Master foundational topics like linear algebra, calculus, discrete mathematics, and probability. These are essential for problem-solving and algorithm design.

Discrete Mathematics in One Shot

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Linear Algebra in One Shot

00:00
Calculus Part 1: Differential Calculus in One Shot

00:00
Calculus Part 2: Integral Calculus in One Shot

00:00
Probability and Statistics in One Shot (Part 1)

00:00
Probability and Statistics in One Shot (Part 2)

00:00
Probability and Statistics in One Shot (Part 3)

Section 2: Engineering Mathematics Practice
Solve GATE-specific problems to gain accuracy and confidence. Focus on topic-wise and full-length exercises to refine your skills.

Discrete Mathematics Practice (Part 1)

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Discrete Mathematics Practice (Part 2)

00:00
Discrete Mathematics Practice (Part 3)

00:00
Discrete Mathematics Practice (Part 4)

00:00
Linear Algebra Practice (Part 1)

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Linear Algebra Practice (Part 2)

00:00
Linear Algebra Practice (Part 3)

00:00
Linear Algebra Practice (Part 4)

00:00
Calculus Practice (Part 1)

00:00
Calculus Practice (Part 2)

00:00
Calculus Practice (Part 3)

00:00
Calculus Practice (Part 4)

00:00
Probability and Statistics Practice (Part 1)

00:00
Probability and Statistics Practice (Part 2)

00:00
Probability and Statistics Practice (Part 3)

00:00
Probability and Statistics Practice (Part 4)

00:00

Section 3: Digital Logic
Learn Boolean algebra, combinational and sequential circuits, and logic gates. Understand the fundamentals of digital systems design.

Section 4: Computer Organisation and Architecture
Explore processor design, pipelining, memory hierarchy, and I/O systems. This section is crucial for understanding computer hardware systems.

Section 5: Programming and Data Structures
Develop expertise in programming languages, arrays, stacks, queues, trees, and graphs. Strengthen your ability to write efficient and optimized code.

Section 6: Algorithms
Understand algorithm design techniques like divide and conquer, dynamic programming, and greedy algorithms. Learn to analyze time and space complexity.

Section 7: Theory of Computation
Dive into finite automata, Turing machines, and decidability. This section covers the mathematical foundations of computation.

Section 8: Compiler Design
Study lexical analysis, syntax parsing, code generation, and optimization. Learn how programming languages are translated into executable code.

Section 9: Operating Systems
Master process management, memory management, and file systems. Topics include scheduling, synchronization, and deadlock handling.

Section 10: DBMS
Understand database design, SQL, transaction management, and indexing. Learn how to manage, retrieve, and analyze data efficiently.

Section 11: Computer Networks
Explore network models, protocols, and performance analysis. Topics include IP addressing, TCP/UDP, routing, and security concepts.

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About Course

What Will You Learn?

Course Content

Section 1: Engineering Mathematics Master foundational topics like linear algebra, calculus, discrete mathematics, and probability. These are essential for problem-solving and algorithm design.

Discrete Mathematics in One Shot

Linear Algebra in One Shot

Calculus Part 1: Differential Calculus in One Shot

Calculus Part 2: Integral Calculus in One Shot

Probability and Statistics in One Shot (Part 1)

Probability and Statistics in One Shot (Part 2)

Probability and Statistics in One Shot (Part 3)

Section 2: Engineering Mathematics Practice Solve GATE-specific problems to gain accuracy and confidence. Focus on topic-wise and full-length exercises to refine your skills.

Discrete Mathematics Practice (Part 1)

Discrete Mathematics Practice (Part 2)

Discrete Mathematics Practice (Part 3)

Discrete Mathematics Practice (Part 4)

Linear Algebra Practice (Part 1)

Linear Algebra Practice (Part 2)

Linear Algebra Practice (Part 3)

Linear Algebra Practice (Part 4)

Calculus Practice (Part 1)

Calculus Practice (Part 2)

Calculus Practice (Part 3)

Calculus Practice (Part 4)

Probability and Statistics Practice (Part 1)

Probability and Statistics Practice (Part 2)

Probability and Statistics Practice (Part 3)

Probability and Statistics Practice (Part 4)

Section 3: Digital Logic Learn Boolean algebra, combinational and sequential circuits, and logic gates. Understand the fundamentals of digital systems design.

Digital Logic in One Shot

Digital Logic Practice (Part 1)

Digital Logic Practice (Part 2)

Digital Logic Practice (Part 3)

Digital Logic Practice (Part 4)

Digital Logic Practice (Part 5)

Section 4: Computer Organisation and Architecture Explore processor design, pipelining, memory hierarchy, and I/O systems. This section is crucial for understanding computer hardware systems.

COA in One Shot

COA Practice (Part 1)

COA Practice (Part 2)

COA Practice (Part 3)

COA Practice (Part 4)

COA Practice (Part 5)

Section 5: Programming and Data Structures Develop expertise in programming languages, arrays, stacks, queues, trees, and graphs. Strengthen your ability to write efficient and optimized code.

C Programming in One Shot

Data Structure in One Shot

Programming Practice (Part 1)

Programming Practice (Part 2)

Programming Practice (Part 3)

Data Structures Practice (Part 1)

Data Structures Practice (Part 2)

Data Structures Practice (Part 3)

Section 6: Algorithms Understand algorithm design techniques like divide and conquer, dynamic programming, and greedy algorithms. Learn to analyze time and space complexity.

Algorithms in One Shot

Algorithms Practice (Part 1)

Algorithms Practice (Part 2)

Algorithms Practice (Part 3)

Section 7: Theory of Computation Dive into finite automata, Turing machines, and decidability. This section covers the mathematical foundations of computation.

Theory of Computation in One Shot

Theory of Computation Practice

Section 8: Compiler Design Study lexical analysis, syntax parsing, code generation, and optimization. Learn how programming languages are translated into executable code.

Compiler Design in One Shot

Compiler Design Practice (Part 1)

Compiler Design Practice (Part 2)

Compiler Design Practice (Part 3)

Section 9: Operating Systems Master process management, memory management, and file systems. Topics include scheduling, synchronization, and deadlock handling.

Operating Systems in One Shot

Operating System Practice (Part 1)

Operating System Practice (Part 2)

Operating System Practice (Part 3)

Operating System Practice (Part 4)

Section 10: DBMS Understand database design, SQL, transaction management, and indexing. Learn how to manage, retrieve, and analyze data efficiently.

DBMS in One Shot

DBMS Practice (Part 1)

DBMS Practice (Part 2)

DBMS Practice (Part 3)

DBMS Practice (Part 4)

Section 11: Computer Networks Explore network models, protocols, and performance analysis. Topics include IP addressing, TCP/UDP, routing, and security concepts.

Computer Networks in One Shot

Computer Networks Practice (Part 1)

Computer Networks Practice (Part 2)