HPSC PGT Computer Science Syllabus 2025, check the exam pattern

HPSC PGT Computer Science Syllabus 2025 Unit Laxity Computer systems and organizations

• Basics of Computer Organization: Input/output device, memory, motherboard, CPU.
• Number system: binary, octal, hexadesimal and their conversion.
• Boolean Bijnchit and Logic Gates: And, or, no, Nanda, nor, Xor, Xnor.
• Types of software: system, application, utility, open-source and proprietary.
• Memory types: RAM, Rome, Cash, Secondary Storage (HDD, SSD).
• Computer types: Micro, mini, mainframe and supercomputers.

Computational thinking and programming (with python)

• Problem-solution and algorithm thinking.
• Introduction to Python: Syntax, variable, data type.
• Control structures: agar-LC, Loops (while).
• Work and recurrence.
• Lists, toupals, dictionary, set in the python.
• String operations.
• File handling in python.
• Error handling: Try, except the block.
• Data structures using python: stacks, queues, linked lists (basic operations).

Society, law and ethics

• Cyber ​​Security: Secure password practices, identity protection, cyberbulling.
• Cyber ​​security concepts: fishing, malware, firewall.
• Intellectual Property Rights (IPR), Copyright and License.
• Digital footprint and digital rights.
• Literary theft and its implications.
• This Act 2000 and its provisions.

Computer network

• Introduction to computer networks and their requirement.
• Network types: LAN, Man, Van.
• Network Topology: Bus, Star, Ring, Aries.
• Protocol: HTTP, TCP/IP, FTP.
• Wi-Fi, Bluetooth, Cellular Network.
• Basics of transmission media: wired (twisted pair, coaxial, fiber) and wireless.
• IP Address, DNS and Mac Address.
• Network Safety Basics: Firewall, Encryption, Safe Communications.

database management system

• Introduction to DBMS and RDBMS.
• Concepts: table, record, field, primary key, foreign key.
• SQL: Select, insert, update, remove, remove, connect, order, order.
• Basic and advanced SQL functions.
• Generalization: 1NF, 2nf, 3nf.
• Transactions and concurrent controls.
• Database Safety and Integrity.

Data structure and algorithm

• Arrays, linked list, stack, queues.
• Trees: Binary Trees, BST.
• Drawing: Representation and Travercel (BFS, DFS).
• Sorting algorithms: bubble, selection, insertion, merge, quick.
• Search: Linear and binary search.
• Time and space complexity: Big-o Series.

Operating system

• Types of basic work and operating systems.
• Process management and scheduling.
• Memory Management: Paging, Segmentation.
• File system and directory.
• Deadlock and prevention.
• User and kernel mode.

Software engineering

• Software Development Life cycle (SDLC).
• Model: Waterfall, tight, spiral.
• Requirements analysis, design, coding, testing, maintenance.
• Case tool.
• Software quality and matrix.
• Risk analysis and project management basics.

Digital argument and circuit

• Logic Gates and their Truth Table.
• Combinian Circuit: Adders, suttractors, multiplexers, demultiplexers, encoders, decoders.
• Sequential Circuit: Flip-flop, counter, register.
• Binary arithmetic: In addition, subtraction, multiplication, division.
• Number system conversion.
• Boolian algebra simplification using the Karnagu maps (K-map).

Calculating theory

• Automata Theory: finite automated, DFA, NFA.
• Regular expressions and languages.
• Reference-free grammar and pushdown automata.
• Turing machines.
• Decidality and Computability.

Compiler design

• Stages of compiler: lexical analysis, syntax analysis, meaning analysis, adaptation, code generation.
• Lexal analyst and regular expression.
• Parsing Technology: LL, LR Parsers.
• Syntax-directed translation.
• Intermediate code generation.
• Symbol table and error handling.

Emerging trends in it

• Artificial Intelligence and Machine Learning Basics.
• Internet of Things (IOT) app.
• Blockchain Fundamental.
• Cloud computing: type of clouds, services (IAAS, PAA, SAAS).
• Virtual reality and enhanced reality.
• Big data and data analytics.

Educational Psychology and Education (to teach merit)

• Child development, inclusive education.
• Learning theory: behavioralism, constructionism, cognitiveism.
• Inspiration and class management.
• Evaluation and evaluation techniques.
• ICT in teaching and learning.
• Teaching strategies and functioning.