AP PGECET 2025 Computer Science Syllabus PDF - Download AP PGECET Computer Science Syllabus Topic wise

Updated By Soham Mitra on 09 May, 2025 11:52

Candidates can check the course wise AP PGECET syllabus 2025 on this page.

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AP PGECET Computer Science and Information Technology Syllabus 2025

AP PGECET 2025 Computer Science and Information Technology Syllabus has been released by the Andhra Pradesh State Council of Higher Education (APSCHE). The Computer Science Syllabus and Information Technology of AP PGECET 2025 includes topics such as Probability & Statistics, Set Theory & Algebra, Numerical Methods, Calculus, Combinatorics, Graph Theory, Computer Organization & Architecture, Programming and Data Structures, Theory of Computation, Mathematical Logic, Digital Logic, Algorithms, Operating Systems, Computer Networks, Web technologies, Information System & Software Engineering etc. Candidates planning to appear for the AP PGECET 2025 must master the Computer Science and Information Technology Syllabus to obtain 120 marks. Check out and download the AP PGECET 2025 Computer Science and Information Technology Syllabus PDF from the following sections.  

Detailed AP PGECET 2025 Computer Science and Information Technology Syllabus

The following table indicates the detailed AP PGECET Computer Science and Information Technology Syllabus 2025. 

AP PGECET 2025 Computer Science and Information Technology Syllabus
ChaptersSubtopics
Engineering Mathematics Syllabus
Probability and StatisticsProbability, Conditional Probability; Probability Density Function, Mean, Median, Mode and Standard Deviation; Random Variables; Distributions; uniform, normal, exponential, Poisson, Binomial.
Set Theory & AlgebraSets; Relations; Functions; Groups; Partial Orders; Lattice; Boolean Algebra
Linear AlgebraAlgebra of matrices, determinants, systems of linear equations, Eigen values and Eigen vectors.
Numerical MethodsLU decomposition for systems of linear equations; numerical solutions of nonlinear algebraic equations by Secant, Bisection and Newton-Raphson Methods; Numerical integration by trapezoidal and Simpson's rules.
CalculusLimit, Continuity & differentiability, Mean value Theorems, Theorems of integral calculus, evaluation of definite & improper integrals, Partial derivatives, Total derivatives, maxima & minima.
Computer Science and Information Technology Syllabus
CombinatoricsPermutations; Combinations; Counting; Summation; generating functions; recurrence relations; asymptotic.
Graph TheoryConnectivity; spanning trees; Cut vertices & edges; covering; matching; independent sets; Coloring; Planarity; Isomorphism.
Mathematical LogicPropositional Logic; First Order Logic.
Digital LogicLogic functions, Minimization, Design and synthesis of combinational and sequential circuits; Number representation and computer arithmetic (fixed and floating point).
Computer Organization and ArchitectureMachine instructions and addressing modes, ALU and datapath, CPU control design, Memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache and main memory, Secondary storage.
Programming and Data StructuresProgramming in C; Functions, Recursion, Parameter passing, Scope, Binding; Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees, Binary search trees, Binary heaps
AlgorithmsAnalysis, Asymptotic notation, Notions of space and time complexity, Worst and average case analysis; Design: Greedy approach, Dynamic programming, Divide-and conquer; Tree and graph traversals, Connected components, Spanning trees, Shortest paths; Hashing, Sorting, Searching. Asymptotic analysis (best, worst, average cases) of time and space, upper and lower bounds, Basic concepts of complexity classes P, NP, NP-hard, NP-complete.
Theory of ComputationRegular languages and finite automata, Context-free languages and Push-down automata, Recursively enumerable sets and Turing machines, Undesirability
Compiler DesignLexical analysis, Parsing, Syntax directed translation, Runtime environments, Intermediate and target code generation, Basics of code optimization.
Operating SystemProcesses, Threads, Inter-process communication, Concurrency, Synchronization, Deadlock, CPU scheduling, Memory management and virtual memory, File systems, I/O systems, Protection and security.
DatabasesER-model, Relational model (relational algebra, tuple calculus), Database design (integrity constraints, normal forms), Query languages (SQL), File structures (sequential files, indexing, B and B+ trees), Transactions and concurrency control.
Information Systems and Software EngineeringInformation gathering, requirement and feasibility analysis, data flow diagrams, process specifications, input/output design, process life cycle, planning and managing the project, design, coding, testing, implementation, maintenance.
Computer NetworksISO/OSI stack, LAN technologies (Ethernet, Token ring), Flow and error control techniques, Routing algorithms, Congestion control, TCP/UDP and sockets, IP(v4), Application layer protocols (icmp, dns, smtp, pop, ftp, http); Basic concepts of hubs, switches, gateways, and routers. Network security basic concepts of public key and private key cryptography, digital signature, firewalls.
Web technologiesHTML, XML, basic concepts of client-server computing.

AP PGECET Computer Science and Information Technology Syllabus 2025 Important Topics

The important topics of AP PGECET 2025 Computer Science and Information Technology Syllabus have been provided below. 

Engineering Mathematics: Linear algebra, calculus, probability 

Computer Programming: C++, C, Java, Python 

Algorithms: Sorting, searching, programming, greedy algorithms 

Data Structures: Arrays, linked lists, stacks, trees, graphs, queues 

Database Management System: SQL, transactions, normalization 

Operating Systems: Process management, file systems, memory management 

Computer Networks: OSI model, network protocols, TCP/IP

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AP PGECET 2025 Computer Science and Information Technology Syllabus PDF

Students can access and download the AP PGECET Computer Science and Information Technology Syllabus PDF from here. 

AP PGECET 2025 Computer Science and Information Technology Syllabus PDF Download

Computer Science and Information Technology Syllabus 

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Best Tips for AP PGECET 2025 Computer Science and Information Technology Preparation

Several AP PGECET 2025 exam preparation tips are given below. Go through the preparation strategy and prepare a dedicated study plan to increase your chances of success in the AP PGECET Computer Science and Information Technology exam. Let’s have a look at some of the most helpful tips for the AP PGECET Computer Science.

  • Understand the AP PGECET 2025 Exam Pattern and syllabus thoroughly for the exam.
  • Do not try to memorise things; instead, focus on conceptual understanding. Spend time understanding the core concepts & theories of computer science rather than just memorising them. 
  • Use visual algorithms & data structures to understand things with a better approach. 
  • Break down the exam preparation in phases, focus on stenegthening the core concepts in the starting 5-10 days, then pick up more advanced topics, and at last spend time on mock test & revision. 
  • Make a study plan and make sure to follow it with dedication. 
  • Use the best books to prepare the syllabus for the AP PGECET exam. 
  • Solve the AP PGECET previous year papers regularly, and take out the time on weekends to solve the previous year examination papers. 
  • Join online discussion groups like Quora, where the candidates can connect with students alike and prepare for the exam. 
  • Stay updated with syllabus changes, look for the syllabus in detail and know if there are any changes in the syllabus.

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