KVS PGT Computer Science Syllabus 2025, Section-Wise Syllabus, Download PDF

KVS PGT Computer Science Syllabus 2025 Detailed

Unit

Topics Included

Computer Systems and Organisation

Introduction to computer systems; hardware and software; input and output devices; CPU and memory types (primary, cache, secondary); memory units (Bit to Petabyte); system software (OS, utilities, device drivers); application software; OS functions and interfaces; Boolean logic (AND, OR, NOT, XOR, NAND, NOR); truth tables; logic circuits; number systems (binary, octal, decimal, hexadecimal) and conversions; encoding schemes (ASCII, ISCII, Unicode).

Computational Thinking & Python Programming

Steps of problem solving; algorithms; flowcharts; pseudo code; decomposition; Python basics; script and interactive mode; tokens; variables; data types (numeric, boolean, string, list, tuple, dictionary); operators; expressions; statements; type conversion; input/output; errors (syntax, runtime, logical); indentation; flow control; conditional statements (if, elif, else); loops (for, while); break and continue; nested loops; string operations and functions; list functions and nested lists; tuple operations; dictionary operations; Python modules (math, random, statistics).

Functions and File Handling

User-defined functions; parameters; arguments; default and positional parameters; return values; variable scope; text file handling (open, read, write, append, with clause, seek, tell); binary file operations using pickle (dump, load); CSV file handling (read, write).

Database Management and SQL

Introduction to databases; need for DBMS; relational data model (attributes, tuples, domains, keys); SQL—DDL, DML, DQL; data types; constraints; creating and modifying tables; inserting and deleting data; selecting data; operators; clauses (WHERE, ORDER BY, GROUP BY, HAVING); NULL handling; joins (Cartesian, equi-join, natural join); aggregate functions; MySQL basics; Python-SQL connectivity (cursor, fetchone, fetchall).

Computer Networks

Evolution of networks (ARPANET, NSFNET, Internet); data communication components; bandwidth and data transfer rate; IP address; switching techniques; transmission media (wired & wireless); network devices (modem, hub, switch, router, gateway, repeater); network topologies (star, bus, tree); types of networks (PAN, LAN, MAN, WAN); network protocols (HTTP, FTP, TCP/IP, SMTP, POP3, HTTPS, VoIP, GSM, GPRS, WLL); web services (WWW, HTML, XML).

Web Technologies

Website, webpage, URL, domain names; static and dynamic pages; web servers; hosting; browsers, plugins, cookies.

Data Handling using Pandas & Visualization

Python libraries—Pandas, Matplotlib; data structures (Series, DataFrame); creation and indexing; slicing; operations on rows and columns; import/export from CSV; visualisation through line plots, bar graphs, histograms; labels, titles and legends.

Society, Law and Ethics

Digital footprint; net etiquette; social media etiquette; intellectual property rights; copyright, patents, trademarks; plagiarism; open-source licenses (GPL, Apache, Creative Commons); cybercrime (phishing, hacking, fraud emails, ransomware); cyber safety; malware; e-waste management; Indian IT Act; gender and disability issues.

Emerging Trends

Artificial Intelligence, Machine Learning, NLP, Robotics, AR/VR, IoT, sensors, smart cities, cloud computing (SaaS, IaaS, PaaS), big data characteristics, blockchain, grid computing.