KVS BUILDING-SYLLABUS OF KVS CS EXAM PGT

What is the syllabus of kvs computer science teacher?

As aspirants prepare for the KVS ComputerScience PGT exam,the first question comes in mind of aspirants is “what can be the syllabus of Kvs computerscience teacher”

Here’s the detailed syllabus for the KVS PGT (Post Graduate Teacher) Computer Science examination, based on the most recent sources:


KVS PGT Computer Science Syllabus Overview

1. Computer Systems and Organisation

  • Basics of computer systems: hardware, software, input/output devices
  • CPU, memory hierarchies (primary, cache, secondary), data units (Bit, Byte, KB, MB, GB, TB, PB)
  • Types of software: system (OS, utilities, drivers), application software, language translators (assembler, compiler, interpreter)
  • Operating systems: functions, user interfaces
  • Boolean logic: basic gates (NOT, AND, OR, NAND, NOR, XOR), truth tables, De Morgan’s laws, logic circuits

2. Computational Thinking & Programming (Python)

  • Problem-solving methodology: analyzing problems, algorithms, flow charts, pseudo code, decomposition
  • Python fundamentals: features of Python, execution modes, tokens (keywords, identifiers, literals, operators, punctuators), indentation, comments, Hello World, variables
  • Data types: numeric (integer, float, complex), boolean, sequences (string, list, tuple), mapping (dictionary), None, mutable vs immutable types
  • Functions: built-ins, module functions, user-defined functions, arguments vs parameters (default/positional), return values, variable scope (global vs local)
  • File handling: file types (text, binary, CSV), file operations (open, modes like r, w, a, with statement), methods (write, read, readline, readlines, seek, tell)

3. Databases & SQL

  • Database concepts and RDBMS fundamentals: relation, attribute, tuple, domain, degree, cardinality, keys (primary, candidate, alternate, foreign)
  • Structured Query Language (SQL): DDL/DML commands, data types (e.g., char, varchar, int, float, date), constraints (NOT NULL, UNIQUE, PRIMARY KEY), basic commands (CREATE DATABASE, USE DATABASE, SHOW, DROP, SHOW TABLES)

4. Computer Networks

  • Evolution of networking: ARPANET→NSFNET→Internet
  • Components of data communication: sender, receiver, message, media, protocols; bandwidth vs data transfer rate; IP addressing; switching types (circuit, packet)
  • Transmission media: wired (twisted pair, coaxial, fiber optics) and wireless (radio, microwave, infrared)
  • Network devices: modem, Ethernet card, RJ45, repeater, hub, switch, router, gateway, Wi-Fi card

5. Society, Law & Ethics

  • Digital footprint, netiquette, communication and social media etiquette
  • Data protection: Intellectual Property Rights (copyright, patent, trademark), IPR violation (plagiarism, infringement), open-source software licensing (Creative Commons, GPL, Apache)
  • Cybercrimes: hacking, phishing, ransomware, eavesdropping; cyber safety—identity protection, safe browsing, confidentiality, cyberbullying

6. Emerging Trends (Modern Topics)

  • AI, Machine Learning, Natural Language Processing, AR/VR, IoT, robotics, big data, smart cities
  • Python libraries: Pandas and Matplotlib; data handling using Pandas (Series, DataFrame, operations, indexing, slicing, CSV handling)
  • SQL functions: Mathematical (POWER, ROUND, MOD), Text (UPPER, LOWER, SUBSTRING, LENGTH, TRIM), Date (NOW, DATE, MONTH, YEAR, DAYNAME)

Summary Table

SectionKey Topics
Computer Systems & OrganisationBasics of hardware/software, memory, OS, Boolean logic
Computational Thinking & PythonProblem-solving, algorithms, data types, functions, file handling
Databases & SQLDBMS fundamentals, SQL commands, constraints, data definition/manipulation
Computer NetworksNetworking history, models, devices, media
Society, Law & EthicsCyber safety, digital rights, ethics, phishing, cybercrime
Emerging Trends & ToolsAI, ML, Pandas, Matplotlib, advanced SQL functions

Exam Preparation Tips

  • Structure your study schedule around these main blocks—fundamentals first, then databases, networks, and ethics.
  • Leverage hands-on practice in Python (especially file handling and Pandas), SQL, and network device functionalities.
  • Stay updated on emerging topics—these are increasingly being featured in exams.
  • Cross-check with official KVS notification or website for any updates or pattern changes as the exam approaches.

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