EMRS TGT Computer Science Free Mock Test
EMRS TGT Computer Science Syllabus 2026, Exam Pattern
EMRS TGT Computer Science Syllabus 2026, Exam Pattern, Exam Date 2026
| Organization Name | National Education Society for Tribal Students (NESTS) |
| School Name | Eklavya Model Residential Schools (EMRS) |
| Post Names | TGT Computer Science |
| No.of Posts | Notified Soon |
| Mode of Application | Online |
| Selection Process | Tier -I : Preliminary (Qualifying) Examination Tier -II : Subject Knowledge Examination |
| Category | Syllabus and Exam Pattern |
| Job Location | Across India |
| Official Website | emrs.tribal.gov.in |
Concrete Experience (Doing):
Coding Projects: Students write, debug, and test their own programs or contribute to open-source projects.
Hardware Assembly/Disassembly: Practical work with computer components to understand their function.
Network Setup: Setting up small local networks or troubleshooting connectivity issues.
Web Development: Creating simple websites or interactive web pages.
Database Solutions: Designing and implementing database solutions for business cases .
Reflective Observation (Reviewing):
Debugging Sessions: Analyzing why code didn't work as expected and identifying solutions.
Project Post-Mortems: Discussing successes, challenges, and lessons learned from a project.
Peer Review: Students evaluating each other's work and providing constructive feedback .
Abstract Conceptualization (Learning):
Understanding Algorithms: Relating practical coding exercises to abstract algorithmic concepts.
Data Structures: Visualizing and understanding how data is organized and manipulated through practical examples.
Cybersecurity Principles: Applying concepts like encryption and network security to real-world scenarios.
Active Experimentation (Planning):
Problem-Based Learning (PBL): Presenting real-world Computer Science problems for students to solve, fostering analytical thinking and reflective judgment .
Project-Based Learning (PrBL): Long-term projects that require students to investigate, design, and create solutions .
Case Study-Based Questions: Analyzing complex, real-life Computer Science scenarios, often with no single "right" answer, to develop critical thinking and decision-making skills.
Key Principles and Vision:-
Fundamental Pillars: Understand the five foundational pillars of NEP 2020: Access, Equity, Quality, Affordability, and Accountability.
Holistic Development: The goal of developing students who possess critical thinking, creativity, ethical values, and empathy, moving away from rote learning.
Multidisciplinarity: The breakdown of rigid subject silos between arts and sciences, and curricular and extracurricular activities.
Structural and Curricular Reforms:-
New Schooling Structure: Know the details of the 5+3+3+4 curricular structure, replacing the old 10+2 system.
Foundational Stage (Ages 3-8): Focus on Early Childhood Care and Education (ECCE), and play-based, activity-based learning.
Preparatory Stage (Ages 8-11): Introduction of subjects and formal classroom teaching.
Middle Stage (Ages 11-14): Introduction of more abstract concepts in science, math, social sciences, arts, and humanities.
Secondary Stage (Ages 14-18): Focus on multidisciplinary study, critical thinking, and flexibility in subject choice.
Foundational Literacy and Numeracy (FLN): The policy's high priority on achieving universal FLN by Grade 3. Be aware of the National Mission on Foundational Literacy and Numeracy (NIPUN Bharat).
Vocational Education: Integration of vocational education from Grade 6 onwards, including internships.
Teacher Education and Professional Development:-
Teacher Recruitment and Standards: The policy's vision for a robust, merit-based teacher recruitment process. Be familiar with the proposed National Professional Standards for Teachers (NPST).
Teacher Training: The new 4-year integrated B.Ed. as a minimum degree for teaching by 2030. The importance of continuous professional development (CPD) for teachers.
National Mission for Mentoring (NMM): The establishment of a large pool of mentors to support teachers.
Assessment and Technology:-
Assessment Reforms: A shift from summative, rote-based exams to regular, formative, and competency-based assessments.
PARAKH (Performance Assessment, Review, and Analysis of Knowledge for Holistic Development): The establishment of this national assessment center to set norms, standards, and guidelines.
Holistic Progress Card: The new report card system designed to provide a comprehensive view of a student's development.
Technology Integration: The creation of the National Educational Technology Forum (NETF) to promote the use of technology in education, including digital resources and virtual labs.
• Basic Computer Organisation: Introduction t o computer system, hardware, software , input device, output device, CPU, memory (primary, cache and secondary),
units of memory (Bit, Byte, KB, MB, GB, TB, PB), Overview of computer memory systems, including semiconductor main memory and cache memory, Advanced DRAM organization and memory hierarchy
• Types of software: system software (operating systems, system utilities, device drivers), programming tools and language translators (assembler, compiler & interpreter), application software
• Operating system (OS): functions of operating system, OS user interface
• Operating system (OS): functions of operating system, OS user interface
• Boolean logic: NOT, AND, OR, NAND, N O R, XOR, truth table, De Morgan’s laws and logic circuits
• Number system: Binary, Octal, Decimal and Hexadecimal number system; conversion between number systems.
• Encoding schemes: ASCII, ISCII and UNICODE (UTF8, UTF32)
• System Buses: Components of a computer system, its functions, and interconnection structures. Bus architecture: general bus concept and PCI (Peripheral Component Interconnect). Address, Data, Control buses
• CPU Structure: Register organization, Stack organization, Instruction format, Addressing modes, RISC vs. CISC architectures
Application Software :
• Word Processor
• Electronic Spreadsheet
• Presentation Tools
Computational Thinking and Programming :-
• Introduction t o problem solving: Steps for problem solving (analyzing the problem, developing an algorithm, coding, testing and debugging). representation of algorithms using flow chart and pseudo code, decomposition
• Familiarization with the basics of Python programming: Introduction to Python, features of Python, executing a simple “ hello world ” program, execution modes: interactive mode and script mode, Python character set, Python tokens (keyword, identifier, literal, operator, punctuator), variables, concept of l-value and r-value, use of comments
• Knowledge of data types: number (integer, floating point, complex), boolean, sequence (string,list, tuple), none, mapping (dictionary), mutable and immutable data
types
• Operators: arithmetic operators , relational operators, logical operators, assignment operator, augmented assignment operators, identity operators (is, is not), membership operators (in, notin)
• Expressions, statement, type conversion & input/output: precedence of operators, expression, evaluation of expression, python statement, type conversion (explicit & implicit conversion), accepting data as input from the console and displaying output
• Errors: syntax errors, logical errors, runtime errors
• Flow of control: introduction, use of indentation, sequential flow, conditional a n d iterative flow control
• Conditional statements: if, if-else, if-elif-else, flowcharts, simple programs: e.g.: absolute value, sort 3 numbers and divisibility of a number
• Iterative statements: for loop, range function, while loop, flowcharts, break and continue statements, nested loops, suggested programs: generating pattern, summation of series, finding the factorial of a positive number etc
• Strings: introduction, indexing, string operations (concatenation, repetition, membership & slicing), traversing a string using loops, built-in functions: len(), capitalize(), title(), lower(), upper(), count(), find(), index(), endswith(), startswith(), isalnum(), isalpha(), isdigit(), islower(), isupper(), isspace(), lstrip(), rstrip(), strip(), replace(), join(), partition(), split()
• Lists: introduction, indexing, list operations (concatenation, repetition, membership &slicing),traversing a list using loops, built-in functions: len(), list(), append(),
extend(), insert(), count(),index(), remove(), pop(), reverse(), sort(), sorted(), min(), max(), sum(); nested lists, suggested programs: finding the maximum, minimum, mean of numeric values stored in a list; linear search on list of numbers and counting the frequency of elements in a list
• Tuples: introduction, indexing, tuple operations (concatenation, repetition, membership & slicing), built-in functions: len(), tuple (), count (), i n d e x (), s o r t e d
(), min (), max (), sum (); tuple assignment, nested tuple, suggested programs: finding the minimum, m a x i m u m , m e a n of values stored in a tuple; linear search on a tuple of numbers, counting the frequency of elements in a tuple
• Dictionary: introduction, accessing items in a dictionary using keys, mutability of dictionary (adding a new item, modifying an existing item), traversing a dictionary, built-in functions: len(), dict(), keys(), values(), items(), get(), update(), del(), clear(), fromkeys(), copy(), pop(), popitem(), setdefault(), max(), min(), count(), sorted(), copy(); suggested programs : count thenumber of times a character appears in a given string using a dictionary, create a dictionary with names of employees, their salary and access them
• Introduction t o Python modules: Importing module using ‘import ‘a n d using from statement, i m p o r t i n g m a t h module (pie, sqrt, ceil, floor, pow, fabs, sin,
cos, tan); random module (random, randint, randrange), statistics module (mean, median,mode)
• Functions: types o f function ( built-in functions, functions defined in module, user defined functions), creating user defined function, arguments and parameters, default parameters, positional parameters, function returning value (s), flow of execution, scope of a variable (global scope, local scope)
• Introduction to files, types of files (Text file, Binary file, CSV file), relative and absolute paths
• Text file: opening a text file, text file open modes (r, r+, w, w+, a, a+), closing a text file, opening a file using with clause, writing/appending data to a text file using write () and writelines(), reading from a text file using read (), readline() and readlines(), seek and tell methods, manipulation of data in a text file
• Binary file: basic operations on a binary file: open using file open modes (rb, rb+, wb, wb+, ab, ab+), close a binary file, import pickle module, dump () and load ()method read, write/create, search, append and update operations in a binary file
• CSV file: import csv module, open / close csv file, write into a csv file using csv.writerow() and read from a csv file using csv.reader( )
Society, Law and Ethics :
• Digital Footprints
• Digital s o c i e t y a n d Netizen: net etiquettes, c o m m u n i c a t i o n etiquettes, social m e d i a etiquettes
• Data protection: Intellectual Property Right (copyright, patent, trademark), violation of IPR (plagiarism, copyright infringement, trademark infringement), open source softwares and licensing (Creative Commons, GPL and Apache)
• Cyber-crime: definition, hacking, eavesdropping, phishing and fraud emails, ransomware, preventing cyber crime
• Cyber safety: safely browsing the web, identity protection, confidentiality, cyber trolls and bullying.
• Safely accessing web sites: malware, viruses, trojans, adware
• E-waste management: proper disposal of used electronic gadgets
• Indian Information Technology Act (IT Act)
• Technology & Society: Gender and disability issues while teaching and using computers
Computer Networks :
• Evolution of networking: introduction to computer networks, evolution of networking (ARPANET, NSFNET, INTERNET)
• Data communication terminologies: concept of communication, components o f data communication (sender, receiver, message, communication media, protocols), measuring capacity of communication media ( bandwidth, data t r a n s f e r rate), I P address, switching techniques (Circuit switching, Packet switching)
• Transmission media: Wired communication media (Twisted pair cable, Co-axial cable, Fiber- optic cable), Wireless media (Radio waves, Micro waves, Infrared
waves)
• Network devices: (Modem, Ethernet card, RJ45, Repeater, Hub, Switch, Router, Gateway, WIFI card)
• Network topologies and Network types: types of networks (PAN, LAN, MAN, WAN), networking topologies (Bus, Star, Tree)
• Network protocol: HTTP, F T P , PPP , S M T P , T C P /IP, P O P 3, H T T P S , T E L N E T , VoIP, wireless/mobile communication protocol such as GSM, GPRS
and WLL
• Introduction to web services: WWW, Hyper Text Markup Language (HTML), Extensible Markup Language (XML), domain names, URL, website, web browser,
web servers, web hosting.
Database Management :-
• Database concepts: introduction to database concepts and its need
• Relational d a t a model: relation, attribute , tuple , domain, degree , cardinality , keys (candidate key, primary key, alternate key, foreign key)
• Structured Query Language: introduction, Data Definition Language and Data Manipulation Language, data type (char(n), varchar(n), int, float, date), constraints (not null, unique, primary key), create database, use database, show databases, drop database, show tables, create table, describe table, alter table (add and remove an attribute, add and remove primary key), drop table, insert, delete, select, operators (mathematical, relational and logical), aliasing, distinct clause, where clause, in, between, order by, meaning of null, is null, is not null, like, update command, delete command, group by, having clause, joins: Cartesian product on two tables, equi-join, Union and natural join
• Math functions: POWER (), ROUND (), MOD ().
• Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (), LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().
• Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME ().
• Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*).
• Querying and manipulating data using Group by, Having, Order by.
Emerging Trends :-
• Artificial Intelligence, Machine Learning, Natural Language Processing, Immersive experience (AR, VR), Robotics, Big data and its characteristics, Internet of Things (IoT), Sensors, S m a r t c i t i e s, C l o u d C o m p u t i n g and C l oud S e r v i c e s (SaaS, I a a S , P a a S ); Grid Computing, Block c ha i n technology.
Artificial Intelligence :
• AI Core Concepts: AI domains, ethics, project cycle, data literacy, generative AI, modeling, evaluation, stats, CV, NLP, Automated vs. autonomous systems, Basics of machine learning, Importance of cybersecurity in AI
Use of AI Tools:
• ChatGPT – Text generation, explanations, brainstorming.
• Gemini (Google) – AI search and summarization.
• Claude (Anthropic) – Writing, summarizing, reasoning tasks.
• Microsoft Copilot – Integrated with Word, Excel, PowerPoint for AI assistance.
• Canva AI – Magic Write, AI design suggestions, image generation.
Duration : 150 Minutes
Negative Marking : 0.33
| S.No | Subject | No.of Question | Marks |
| Part I | General Awareness | 10 | 10 |
| Part II | Reasoning Ability | 15 | 15 |
| Part III | Knowledge of ICT | 15 | 15 |
| Part IV | Teaching Aptitude | 30 | 30 |
| Part V |
Domain Knowledge:
a) Experiential activity-based pedagogy and case study-based questions. (20 Question)
b) NEP-2020 (10 Question)
|
30
[20+10]
|
30 |
| Total | 100 | 100 | |
| Part VI | Language Competency Test (General Hindi, General English and Regional Language-10 mark each subject). This part is qualifying in nature only with minimum 40% marks in each language. Part-I to V of the candidate will not be evaluated, if he/she fails to attain qualifying marks in Part-VI | 30 | 30 |
on the basis of Tier I Preliminary examination)- Subject Knowledge Examination
Negative Marking : 0.33
| Component of the test | Number of questions | Total marks | Duration of the test | ||
| Objective | Descriptive | Objective | Descriptive | ||
| Subject Knowledge Test | 40 | 15 | 40 | 60 | 3 Hours |
| Total | 55 | 100 | 3 Hours | ||
Preparation of merit list: Merit list for the post of Hostel Warden will be prepared on the basis of performance in the Tier II examination only.
Tier-II Exam Date 2026 : Notified Soon
Starting Date of Application Form : Notified Soon
Last Date of Application Form : Notified Soon
EMRS TGT Computer Science Exam Free Online Test Series
EMRS TGT Computer Science Exam Free Online Question Bank
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