BPSC TRE 4 Computer Science Syllabus 2026: BPSC Teacher Recruitment Examination (TRE 4.0) में Computer Science की तैयारी करने वाले candidates के लिए सही syllabus coverage और topic-wise study plan बहुत महत्वपूर्ण है। TRE 4.0 के लिए BPSC ने Advertisement No. 14/2026 जारी किया है। Recruitment में Secondary और Senior Secondary level के teaching posts शामिल हैं।
यह preparation plan Computer Science candidates को Fundamentals से लेकर Programming, Data Structure, DBMS, Operating System, Computer Network और Advanced Computer Science topics तक systematic तरीके से तैयारी करने में मदद करेगा।
Important: नीचे दिया गया topic-wise breakup preparation purpose के लिए है। किसी topic को final/official syllabus में शामिल मानने से पहले BPSC की latest official notification/syllabus PDF से cross-check करें। BPSC की official syllabus page पर उपलब्ध documents को अंतिम reference मानें।
BPSC TRE 4 Computer Science – Preparation Overview
Computer Science की तैयारी को निम्न major sections में divide करें:
- Computer Fundamentals
- Number System & Data Representation
- Digital Logic
- Computer Organization & Architecture
- Programming Fundamentals
- C/C++ Programming
- Python Basics
- Data Structures
- Algorithms
- Operating System
- DBMS
- Computer Networks
- Internet & Web Technology
- Software Engineering
- Computer Security & Cyber Security
- OOP
- Theory of Computation
- Compiler Basics
- Emerging Technologies
1. Computer Fundamentals
सबसे पहले Computer Fundamentals को मजबूत करें।
Important Topics
- Introduction to Computer
- Characteristics of Computer
- History of Computer
- Generations of Computer
- Types of Computers
- Analog Computer
- Digital Computer
- Hybrid Computer
- Microcomputer
- Minicomputer
- Mainframe
- Supercomputer
- Computer Hardware
- Computer Software
- System Software
- Application Software
- Utility Software
- Firmware
- Open Source Software
Hardware Topics
- CPU
- ALU
- Control Unit
- Registers
- Input Devices
- Output Devices
- Storage Devices
- Motherboard
- Ports
- BIOS/UEFI basics
Priority
High
2. Number System & Data Representation
यह Computer Science का fundamental topic है और numerical questions के लिए important है।
Topics
- Decimal Number System
- Binary Number System
- Octal Number System
- Hexadecimal Number System
- Number System Conversion
- Binary Addition
- Binary Subtraction
- 1's Complement
- 2's Complement
- Signed and Unsigned Numbers
- ASCII
- Unicode
- BCD
- Gray Code
- Character Representation
- Floating Point Representation
Must Practice
- Decimal → Binary
- Binary → Decimal
- Binary → Hexadecimal
- Hexadecimal → Binary
- 1's Complement
- 2's Complement
Priority
Very High
3. Digital Logic
Digital Logic में conceptual और numerical दोनों प्रकार के questions की तैयारी करें।
Boolean Algebra
- Boolean Variables
- Boolean Expressions
- Boolean Laws
- De Morgan's Theorem
- Duality Principle
- Boolean Function
- SOP
- POS
- Minterms
- Maxterms
Logic Gates
- AND
- OR
- NOT
- NAND
- NOR
- XOR
- XNOR
Circuits
- Half Adder
- Full Adder
- Half Subtractor
- Full Subtractor
- Multiplexer
- Demultiplexer
- Encoder
- Decoder
- Comparator
Sequential Circuits
- Flip-Flop
- SR Flip-Flop
- JK Flip-Flop
- D Flip-Flop
- T Flip-Flop
- Registers
- Counters
Priority
Very High
4. Computer Organization & Architecture
Important Topics
- Computer Organization
- Computer Architecture
- Von Neumann Architecture
- Harvard Architecture
- CPU Organization
- ALU
- Control Unit
- Registers
- Instruction
- Instruction Cycle
- Machine Instruction
- Opcode
- Operand
- Addressing Modes
- Memory Organization
- Memory Hierarchy
- Cache Memory
- Main Memory
- Secondary Memory
- I/O Organization
- Interrupt
- DMA
- Pipelining
Priority
High
5. Programming Fundamentals
Programming section को मजबूत करने के लिए basic programming concepts पहले पढ़ें।
Topics
- Program
- Programming Language
- Source Code
- Object Code
- Syntax
- Semantics
- Compiler
- Interpreter
- Assembler
- Linker
- Loader
- Variables
- Constants
- Keywords
- Identifiers
- Data Types
- Operators
- Expressions
- Input/Output
- Conditional Statements
- Loops
- Functions
- Recursion
- Arrays
- Strings
- Pointers
- Structures
- File Handling
- Debugging
Priority
Very High
6. C Programming
C Programming को विशेष महत्व दें।
Basic C
- Structure of C Program
- Header Files
- Variables
- Constants
- Data Types
- Operators
- Input/Output
- Type Conversion
Control Statements
- if
- if-else
- Nested if
- switch
- for
- while
- do-while
- break
- continue
- goto
Functions
- Function Declaration
- Function Definition
- Function Call
- Parameter Passing
- Call by Value
- Recursion
- Storage Classes
Arrays & Strings
- One-dimensional Array
- Two-dimensional Array
- Multidimensional Array
- Character Array
- String Functions
Pointers
- Pointer Basics
- Pointer Arithmetic
- Pointer and Array
- Pointer and Function
- Pointer to Pointer
Structures
- Structure
- Union
- Structure vs Union
- Nested Structure
Priority
Very High
7. C++ & Object-Oriented Programming
OOP Concepts
- Class
- Object
- Encapsulation
- Abstraction
- Inheritance
- Polymorphism
- Data Hiding
- Message Passing
C++ Topics
- Class and Object
- Constructor
- Destructor
- Access Specifiers
- Function Overloading
- Operator Overloading
- Method Overriding
- Inheritance
- Virtual Function
- Friend Function
- Exception Handling
Important
OOP concepts के definitions के साथ examples और differences भी prepare करें।
Priority
High
8. Python Programming
Python के basic concepts भी तैयार करें।
Topics
- Python Introduction
- Variables
- Data Types
- Operators
- Input/Output
- if-else
- Loops
- Functions
- Lists
- Tuples
- Sets
- Dictionaries
- Strings
- Modules
- Exception Handling
- File Handling
- Basic OOP
Priority
Medium
9. Data Structures
Data Structure BPSC Computer Science preparation का major section है।
Linear Data Structures
- Array
- Linked List
- Stack
- Queue
- Circular Queue
- Priority Queue
- Deque
Linked List
- Singly Linked List
- Doubly Linked List
- Circular Linked List
Non-Linear Data Structures
- Tree
- Binary Tree
- Binary Search Tree
- Heap
- Graph
Important Concepts
- Traversal
- Insertion
- Deletion
- Searching
- Sorting
Priority
Very High
10. Algorithms
Algorithms में theory के साथ complexity भी तैयार करें।
Searching
- Linear Search
- Binary Search
Sorting
- Bubble Sort
- Selection Sort
- Insertion Sort
- Merge Sort
- Quick Sort
- Heap Sort
Algorithm Analysis
- Time Complexity
- Space Complexity
- Best Case
- Average Case
- Worst Case
- Big-O
- Big-Ω
- Big-Θ
Advanced Algorithms
- Divide and Conquer
- Greedy Algorithm
- Dynamic Programming
- Backtracking
- Graph Algorithms
Graph Algorithms
- BFS
- DFS
- Minimum Spanning Tree
- Prim's Algorithm
- Kruskal's Algorithm
- Shortest Path
- Dijkstra's Algorithm
Priority
Very High
11. Operating System
Operating System से conceptual और application-based questions तैयार करें।
Fundamentals
- Operating System
- Functions of OS
- Types of OS
- Batch OS
- Multiprogramming
- Multitasking
- Multiprocessing
- Distributed OS
- Real-Time OS
Process Management
- Process
- Process State
- PCB
- Threads
- Process Scheduling
- Context Switching
CPU Scheduling
- FCFS
- SJF
- SRTF
- Priority Scheduling
- Round Robin
Deadlock
- Deadlock Conditions
- Deadlock Prevention
- Deadlock Avoidance
- Deadlock Detection
- Banker's Algorithm
Memory Management
- Paging
- Segmentation
- Virtual Memory
- Page Replacement
- FIFO
- LRU
- Optimal
File Management
- File System
- Directory Structure
- File Allocation
- Disk Scheduling
Priority
Very High
12. DBMS
DBMS को theory + SQL दोनों के साथ prepare करें।
Database Fundamentals
- Data
- Database
- DBMS
- RDBMS
- Database Models
- Relational Model
ER Model
- Entity
- Attribute
- Relationship
- Cardinality
- ER Diagram
Keys
- Primary Key
- Candidate Key
- Super Key
- Foreign Key
- Alternate Key
Normalization
- Functional Dependency
- 1NF
- 2NF
- 3NF
- BCNF
SQL
- SELECT
- INSERT
- UPDATE
- DELETE
- CREATE
- ALTER
- DROP
- WHERE
- GROUP BY
- ORDER BY
- HAVING
- JOIN
Transactions
- Transaction
- ACID Properties
- Concurrency Control
- Serializability
- Commit
- Rollback
Priority
Very High
13. Computer Networks
Networking में models, protocols और devices को अच्छी तरह prepare करें।
Basics
- Computer Network
- LAN
- MAN
- WAN
- PAN
- Network Topologies
- Transmission Media
Network Devices
- Hub
- Switch
- Router
- Bridge
- Gateway
- Repeater
- Modem
OSI Model
सभी 7 layers के:
- Name
- Function
- Protocol
- Devices
TCP/IP Model
- Application
- Transport
- Internet
- Network Access
Protocols
- HTTP
- HTTPS
- FTP
- SMTP
- POP
- IMAP
- DNS
- DHCP
- TCP
- UDP
- IP
Addressing
- MAC Address
- IPv4
- IPv6
- Subnetting
- Private/Public IP
Priority
Very High
14. Internet & Web Technology
Topics
- Internet
- Intranet
- Extranet
- WWW
- Web Browser
- Search Engine
- URL
- Domain Name
- Web Server
- Client-Server Architecture
- HTTP/HTTPS
HTML
- Basic Structure
- Tags
- Attributes
- Forms
- Tables
- Lists
- Links
- Images
CSS
- Selectors
- Properties
- Inline CSS
- Internal CSS
- External CSS
JavaScript
- Variables
- Data Types
- Functions
- Events
- Basic DOM concepts
Priority
Medium to High
15. Software Engineering
Topics
- Software
- Software Crisis
- Software Engineering
- SDLC
- Requirement Analysis
- System Design
- Coding
- Testing
- Maintenance
SDLC Models
- Waterfall Model
- Prototype Model
- Spiral Model
- Incremental Model
- Agile Model
Software Testing
- Unit Testing
- Integration Testing
- System Testing
- Acceptance Testing
- Black Box Testing
- White Box Testing
Priority
High
16. Computer Security & Cyber Security
Important Topics
- Cyber Security
- Information Security
- Malware
- Virus
- Worm
- Trojan
- Spyware
- Ransomware
- Phishing
- Spoofing
- Hacking
- Authentication
- Authorization
- Encryption
- Decryption
- Firewall
- Antivirus
- Digital Signature
- Digital Certificate
Cryptography
- Symmetric Encryption
- Asymmetric Encryption
- Public Key
- Private Key
- Hashing
- Digital Signature
Priority
High
17. Theory of Computation
Advanced Computer Science preparation में इस section को शामिल करें।
Topics
- Formal Languages
- Regular Languages
- Regular Expression
- Finite Automata
- DFA
- NFA
- Context-Free Grammar
- Pushdown Automata
- Turing Machine
- Decidability
- Undecidability
Priority
Medium to High
18. Compiler Design
Topics
- Compiler
- Interpreter
- Lexical Analysis
- Syntax Analysis
- Semantic Analysis
- Intermediate Code
- Code Optimization
- Code Generation
- Parsing
- Symbol Table
- Error Handling
Priority
Medium
19. Emerging Technologies
Basic conceptual preparation रखें।
Topics
- Artificial Intelligence
- Machine Learning
- Internet of Things
- Cloud Computing
- Big Data
- Blockchain
- Data Science
- Virtual Reality
- Generative AI
- Edge Computing
Priority
Medium
BPSC TRE 4 Computer Science – Topic Priority
| Priority | Topics |
|---|---|
| Very High | Programming |
| Very High | Data Structures |
| Very High | Algorithms |
| Very High | DBMS |
| Very High | Operating System |
| Very High | Computer Networks |
| Very High | Digital Logic |
| High | Computer Organization |
| High | OOP |
| High | Software Engineering |
| High | Cyber Security |
| Medium-High | Web Technology |
| Medium-High | Theory of Computation |
| Medium | Compiler Design |
| Medium | Python |
| Medium | Emerging Technologies |
90-Day BPSC TRE 4 Computer Science Study Plan
Days 1–15: Fundamentals
Study
- Computer Fundamentals
- Number System
- Data Representation
- Digital Logic
Practice
- 20–30 MCQs daily
- Number system questions
- Boolean algebra problems
Days 16–30: Programming
Study
- Programming Fundamentals
- C Programming
- Functions
- Arrays
- Strings
- Pointers
- Structures
Practice
- Output-based questions
- Error finding
- Code tracing
- Programming MCQs
Days 31–45: Data Structures & Algorithms
Study
- Array
- Linked List
- Stack
- Queue
- Tree
- Graph
- Searching
- Sorting
- Complexity
Practice
Daily:
30–50 MCQs + 5–10 numerical/problem-based questions
Days 46–60: OS + DBMS
Operating System
- Process
- Scheduling
- Deadlock
- Memory Management
- File System
DBMS
- ER Model
- Keys
- Normalization
- SQL
- Transactions
इन दोनों subjects पर ज्यादा practice करें क्योंकि conceptual questions के साथ problem-based questions भी बनाए जा सकते हैं।
Days 61–70: Networking + Web
Study
- OSI Model
- TCP/IP
- Protocols
- IP Address
- Network Devices
- Internet
- HTML
- CSS
- JavaScript Basics
Days 71–80: Advanced Topics
Study
- Software Engineering
- Cyber Security
- OOP
- Theory of Computation
- Compiler
- Python
- Emerging Technologies
Days 81–90: Revision & Mock Test
अब नया topic शुरू करने के बजाय revision पर focus करें।
Daily Schedule
2 Hours: Concept Revision
1 Hour: MCQs
1 Hour: Previous/Expected Questions
1 Hour: Mock Test/Practice
30 Minutes: Mistake Analysis
Daily Study Strategy
Computer Science candidate के लिए एक practical daily routine:
| Activity | Time |
|---|---|
| Theory/Notes | 2 Hours |
| MCQs | 1 Hour |
| Programming/Problem Solving | 1 Hour |
| Revision | 30 Minutes |
| Mock/Previous Questions | 30 Minutes |
कुल लगभग 5 Hours Daily का focused study plan रखें।
BPSC TRE 4 Computer Science – MCQ Strategy
हर topic पूरा करने के बाद तीन स्तरों पर questions solve करें:
Level 1 – Basic
Definitions और basic concepts।
Level 2 – Conceptual
Concept application और difference-based questions।
Level 3 – Advanced
- Code output
- Numerical
- Algorithm complexity
- SQL queries
- OS scheduling
- Networking
- Digital Logic problems
Most Important Topics for Revision
अगर exam से पहले समय कम है तो सबसे पहले इन topics को revise करें:
- C Programming
- Data Structures
- Algorithms
- DBMS + SQL
- Operating System
- Computer Networks
- Digital Logic
- Computer Organization
- OOP
- Software Engineering
- Cyber Security
- Number System
BPSC TRE 4 Computer Science Preparation Tips
1. केवल theory न पढ़ें
Computer Science में concepts के साथ questions solve करना जरूरी है।
2. Programming रोज करें
C/C++ के output-based और error-based questions daily practice करें।
3. Short Notes बनाएं
विशेष रूप से:
- OSI layers
- SQL commands
- Sorting complexities
- Scheduling algorithms
- Digital Logic
- Number System
- Data Structures
- OOP concepts
4. MCQ Practice बढ़ाएं
हर major topic के बाद कम से कम 50–100 MCQs solve करें।
5. Mock Test दें
पूरे syllabus की तैयारी के बाद regular full-length mock tests दें।
6. Mistake Notebook बनाएं
जो questions गलत हों, उन्हें एक अलग notebook में लिखकर weekly revise करें।
Conclusion
BPSC TRE 4 Computer Science की तैयारी में सबसे ज्यादा focus Programming, Data Structures, Algorithms, DBMS, Operating System, Computer Networks, Digital Logic और Computer Organization पर रखना चाहिए। इसके साथ remaining topics की systematic revision और regular MCQ practice selection-oriented preparation को मजबूत करेगी।
BPSC की official syllabus/notification को final authority मानें, क्योंकि TRE 4.0 की recruitment details और application schedule में समय-समय पर official updates हो सकते हैं। Current reports के अनुसार TRE 4.0 application process, जो 1 September 2026 से शुरू होना था, administrative reasons के कारण postpone किया गया है और revised schedule बाद में जारी होना है।
Official BPSC Syllabus: BPSC Official Syllabus Page