Best Computer Science Engineering Books for GATE 2023

Best Computer Science Engineering Books for GATE 2023

The below table contains the list of the Best Books for the GATE 2023 Computer Science Engineering exam preparations.

Author/ PublicationBook’s Name 

Narasimha Karumanchi

Data Structures & Algorithms Made Easy

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Galvin

Operating System

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Pearson

Automata Theory Language & Computation

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Carl Hamacher

Computer Organization

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Morris Mano

Digital Design

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Pressman

Software Engineering

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Data Structures And Algorithms Made Easy

Data Structures And Algorithms Made EasyRead More

  1. The book contains lots of examples with plenty of unsolved questions having proper & detailed solutions.
  2. Printing fonts are too small and paper quality is also average with some typing errors.

Operating System Concepts

Operating System ConceptsRead More

  1. This book covers all important aspects of operating systems, explaining the concepts of the fundamentals in detail.
  2.  Coloring diagrams are very easy to understand, chapters are well explained with lots of activities and codes that you can do, case study based activity &  chapter-based questions too.

Automata Theory Language & Computation

Automata Theory Language & ComputationRead More

  1. This new edition comes with Gradiance, an online assessment tool developed for computer science. Gradiance is the most advanced online assessment tool developed for the computer science discipline.
  2. With its innovative underlying technology, Gradiance turns basic homework assignments and programming labs into an interactive learning experience for students.

Computer Organization

Computer OrganizationRead More

  1. This book illustrates the principles of computer organization by using several extensive examples drawn from commercially available computers.
  2. The machines discussed in the book are the Motorola 680X0 and 683XX families, Intel80X86 and Pentium families, ARM family, Sun Microsystems Sparc family, andDEC(Compaq) Alpha family. The 68000, Pentium, and ARM are used as detailed examples early in the book.

Digital Design

Digital DesignRead More

  1. This textbook presents the basic tools for the design of digital circuits and provides procedures suitable for a variety of digital applications.

Software Engineering

Software EngineeringRead More

  1. Chapter structure will return to a more linear presentation of software engineering topics with a direct emphasis on the major activities that are part of a generic software process.
  2. The 39 chapters of this edition are organized into five parts – process, modeling, quality management, managing software projects, and Advanced topics.

Check out the list of the best GATE examination books for different subjects here

GATE 2022: Computer Science Engineering Syllabus for Examination

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

Linear Algebra: Matrices, determinants, the 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.

Computer Science and Information Technology

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

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 in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.

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.

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

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

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

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.

Concept of layering: OSI and TCP/IP Protocol Stacks; Basics of the 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.

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