GATE-CS Exam Syllabus

The syllabus is divided into several sections, each covering specific topics. Here’s an overview of the GATE CS syllabus:

1. Engineering Mathematics:

• Mathematical Logic
• Probability
• Set Theory & Algebra
• Combinatorics
• Graph Theory
• Linear Algebra
• Numerical Methods
• Calculus

2. Digital Logic:

• Boolean Algebra
• Minimization
• Combinational and Sequential Circuits
• Number Representation and Computer Arithmetic

3. Computer Organization and Architecture:

• Machine Instructions and Addressing Modes
• Memory Hierarchy: Cache, Main Memory, and Secondary Storage
• Programming Concepts: Control Unit, ALU, Data Path
• Assembly Language Programming and Macros

4. Programming and Data Structures:

• Programming in C
• Recursion
• Arrays, Stacks, Queues, Linked Lists, Trees, Graphs
• Hashing, Heaps
• Searching and Sorting

5. Algorithms:

• Analysis, Asymptotic Notation
• Sorting, Searching, Greedy Algorithms
• Dynamic Programming
• Divide and Conquer
• Graph Algorithms: BFS, DFS, Shortest Paths
• Minimum Spanning Trees
• NP-Completeness

6. Theory of Computation:

• Regular Languages and Finite Automata
• Context-Free Languages and Pushdown Automata
• Turing Machines
• Undecidability

7. Compiler Design:

• Lexical Analysis
• Syntax Analysis
• Semantic Analysis
• Code Generation
• Optimization Techniques

8. Operating System:

• Processes, Threads, CPU Scheduling
• Memory Management and Virtual Memory
• File Systems, I/O Systems
• Deadlocks, Synchronization

9. Databases:

• Relational Model
• ER Diagrams, Normalization
• SQL, Transactions, Concurrency Control
• Indexing and Hashing

10. Computer Networks:

• OSI and TCP/IP Models
• Network Types, Protocols
• IP Addressing, Subnetting
• Routing Algorithms
• Transport Layer: TCP and UDP
• DNS, HTTP, Email Protocols

11. Web Technologies:

• HTML, CSS, JavaScript
• PHP, XML, Servlets, JSP
• Basics of Cloud Computing and RESTful Web Services

12. Digital Marketing:

• Basics of SEO, SEM, Social Media Marketing
• E-commerce, Analytics

The GATE (Graduate Aptitude Test in Engineering) Exam is a critical milestone for computer science enthusiasts seeking advanced education or career opportunities. A solid understanding of Data Structures and Algorithms (DSA) is indispensable for success in this exam, as it forms the core of computer science. In this short guide, we’ll explore key aspects to consider while preparing for the GATE Exam in the realm of DSA.