Recommended Books for GATE CS & IT Preparation

Oct 19, 2021

Navigate Quickly

Recommended Books for GATE CS & IT Preparation

GATE 2022 Computer Science & Information Technology Exam Pattern

Recommended Books for GATE CS & IT Preparation

Recommended Books for GATE CS & IT Preparation

Refer to the below-mentioned books to ace the GATE CS & IT exam with flying colours.

SectionTopicImportant Books
Engineering MathematicsLinear Algebra
Calculus
Probability and Statistics
B. S.Grewal,
 
H.K. Das, 

Linear Algebra and Its Applications by Gilbert Strang (Linear Algebra), 

A First Course In Probability by Sheldon Ross (Probability),

Problems in Calculus in one variable by IA Maron (Calculus)
Discrete MathematicsPredicate and propositional logic
Sets
Graph theory
Counting
Group Theory
Kenneth Rosen (Discrete   Mathematics and its application)

Narsingh Deo (Graph Theory)

C.Liu (Discrete Mathematics)

Matrices (A.R. Vasishta)

Discrete Mathematical Structures with Applications to Computer Science by Jean-Paul Tremblay,

R Manohar (Group Theory)
Digital LogicBoolean Algebra.
Combinational and sequential circuits.
Minimization.
Number representations and computer arithmetic (fixed and floating-point).
Morris Mano (Digital Logic Design)

Anand Kumar (Fundamentals of Digital Circuit)
Computer Organization and ArchitectureMachine 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).
Carl Hamacher (Computer Organization and Architecture)

William Stalling (Computer Organization and Architecture)
Programming and Data StructuresProgramming in C.
Recursion.
Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.
Dennis M Ritchie (C programming Language)

Yashwant Kanetkar (Understanding Pointers in C)

Alan Feur (Puzzles in C)
Sahni (Data Structure)

Forouzan (Data Structure)
AlgorithmsSearching, 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

H. Cormen (Introduction to Algorithm)



Sahni (Fundamental of computer Algorithms)
Theory of ComputationRegular expressions and Finite Automata. 
Context-free grammars and push-down automata.
Regular and context-free languages, pumping lemma.
Turing machines and undecidability.
Hopcroft & Ullman (Formal Language and automata theory)

Peter Linz(Formal Language and Automata Theory) 
Compiler DesignLexical analysis, parsing, syntax-directed translation.
Runtime environments.
Intermediate code generation.
Local optimisation, Data flow analyses: constant propagation, liveness analysis,
Common subexpression elimination.




Ravi Sethi (Compiler)
Operating SystemSystem calls, processes, threads, inter-process communication, concurrency and synchronization.
Deadlock.
CPU and I/O scheduling.
Memory management and virtual memory. File systems.
Galvin, Gagne (Operating System concepts)

Tanenbaum (Modern operating system)
DatabasesER-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. 
Henry F. Korth (database System concept)

Ramez Elmasri (Database system)
Computer NetworksConcept of layering: OSI and TCP/IP Protocol Stacks;
Basics of packet, circuit and virtual circuit switching;
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.
Forouzon (Data communication and networking)




Tanenbaum (Computer networks)






Larry L. Peterson (computer networks)

Also read: Pro Tips to Crack GATE Computer Science & Information Technology

GATE 2022 Computer Science & Information Technology Exam Pattern

ParticularsDetails
Exam Duration 3 hours
Number of Questions 65
Total Marks100
Types of QuestionsMultiple Choice Questions (MCQ)
Multiple Select Questions (MSQ)
Numerical Answer Type (NAT) Questions
SectionsGeneral Aptitude (15 Marks)
Engineering Mathematics (13 Marks)
Technical (72 Marks)
Marking SchemeFor 1 mark MCQ, 1/3 mark will be deducted for every wrong answer.
For 2 marks MCQ, 2/3 marks will be deducted for every incorrect response.
There is no negative marking for NAT and MSQs.

Also read: Tips To Prepare Engineering Mathematics For GATE 2022

To make the most of these books and for better practice, it is strongly recommended to solve previous year’s question papers and attempt Mock Tests on a regular basis. 

Now when you are aware of the important Computer Science & Information Technology books, kickstart your GATE CS preparation with PrepLadder. It is an excellent source of quality and reliable learning material for GATE aspirants and has everything you need to ace GATE on one single platform. 

Keep following our articles and our Telegram Channel to apprise yourself with the latest information about the exam.

All the best for your exam.

Own Your Dream 

Auther Details

Raminder Singh

Raminder is a Content Manager at PrepLadder. He has worked in several aspects of the education industry throughout his career and has assisted numerous candidates in cracking major competitive exams.