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UPPSC Polytechnic Lecturer (Computer Science) Syllabus 2026, Exam Pattern
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5. 1500 (+) Current Affairs MCQ with Answer PDF in English.
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UPPSC Polytechnic Lecturer (Computer Science) Syllabus 2026, Exam Pattern
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UPPSC Polytechnic Lecturer (Computer Science) Syllabus 2026, Exam Pattern, Exam Date 2026
Detail Information about UPPSC has published notification 2026 for the recruitment of Polytechnic Lecturer (Computer Science) vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Recruitment with Latest Update Exam Pattern and the Exam Date also.
UPPSC Polytechnic Lecturer (Computer Science) Syllabus 2025-26
| Organization Name | Uttar Pradesh Public Service Commission (UPPSC) |
| Post Name | Polytechnic Lecturer (Computer Science) |
| No. of Posts | 43 |
| Mode of Application | Online |
| Category | Syllabus and Exam Pattern |
| Selection Process | Written Test, Document Verification, Interview |
| Job Location | Uttar Pradesh |
| Official Website | uppsc.up.nic.in |
UPPSC Polytechnic Lecturer (Computer Science) Syllabus 2026
सामान्य हिन्दी :
1-हिन्दी-वर्णविचार-स्वर एवं व्यंजन
2-पर्यायवाची शब्द
3-विलोम शब्द
4-अनेक शब्दों के लिए एक शब्द/वाक्यांश के लिए एक शब्द
5-अनेकार्थक शब्द
6-उपसर्ग एवं प्रत्यय
7-अशुद्धि-शोधन-वर्तनी-शुद्धि, वाक्य-शुद्धि
8-तत्सम तद्भव शब्द
9-शब्द-युग्म, अर्थबोध (शब्दार्थ)
10-मुहावरे एवं लोकोक्तियाँ
11-सन्धि, समास
12-विरामचिह्न
13-कारकचिह्न
14-हिन्दी-व्याकरण संज्ञा, सर्वनाम, विशेषण, क्रिया, अव्यय, लिंग, वचन।
General Studies :
1.History of India.
2.Geography of India.
3.Indian Polity and Constitution.
4. Current events of National and International significance.
1. History of India: Emphasis should be on general understanding of political, economic and social aspects of Indian History.
2.Geography of India: Candidates will be expected to have knowledge of the Physical and Human aspects of the Geography of India in general terms.
3.Indian Polity and Constitution: Candidates are expected to have a basic knowledge and preliminary understanding about Indian Political system as well as Indian Constitution.
4. Current events of National and International significance.
Main Subject :
1.Computer Science(Paper-I) :
1. Computer Organization and Architecture: Functional units of digital system and their interconnections, buses, bus architecture, types of buses and bus arbitration. Register, bus and memory transfer. Processor organization, general registers organization, stack organization and addressing modes. Arithmetic and Logic Unit, Control Unit, Memory, Input/output devices, interfaces and ports, Interrupts and exceptions. Modes of Data Transfer, Synchronous & asynchronous communication, standard communication interfaces.
2. Data Structures: Elementary Data Organization, Built in Data Types in C/C++/JAVA Algorithm, Efficiency of an Algorithm, Time and Space Complexity, Asymptotic notations: Big Oh, Big Theta and Big Omega, Time-Space trade-off. Abstract Data Types (ADT), Arrays and Application of arrays, parse Matrices and their representations. Linked lists, Stacks, Queues, Searching and sorting, Graphs, Tree, Binary Tree and its applications, Hashing, B+tree.
3. Discrete Structures & Theory of Logic: Set Theory, Relations, Functions, Natural Numbers, Proof Methods, Proof by counter-example, Proof by contradiction. Algebraic Structures, Lattices, Propositional Logic, Trees, Graphs, Combinatorics.
4. Database Management Systems: Database System vs File System, Database System Concept and Architecture, Data Model Schema and Instances, Data Independence and Database Language and Interfaces, Data Definitions Language, DML, Overall Database Structure. Data Modeling Using the Entity Relationship and enhanced E-R, Relational data Model and Language, Relational Algebra, Relational Calculus, Tuple and Domain Calculus. SQL, Data Base Design & Normalization, NoSQL, Transaction Processing, Concurrency Control Techniques, Web Interface to DBMS, OO database, Case Studies of commercial DBMS.
5. Design and Analysis of Algorithm: Algorithms and its analysis, Complexity of Algorithms, Growth of Functions, Performance Measurements, Sorting and Order Statistics, Red-Black Trees, B-Trees, Binomial Heaps, Fibonacci Heaps, Tries, Skip List, Divide and Conquer with Examples Such as Sorting, Matrix Multiplication, Convex Hull and Searching. Greedy Methods: Optimal Reliability Allocation, Knapsack, Minimum Spanning Trees - Prim's and Kruskal's Algorithms, Single Source Shortest Paths. Dijkstra's and Bellman Ford Algorithms, Dynamic Programming such as Knapsack. All Pair Shortest Paths - Warshal's and Floyd's Algorithms, Resource Allocation Problem Backtracking, Branch and Bound techniques such as Travelling Salesman Problem, Graph Coloring, n-Queen Problem, Hamiltonian Cycles and Sum of Subsets. Algebraic Computation, Fast Fourier Transform, String Matching, Theory of NP-Completeness, Approximation Algorithms and Randomized Algorithms.
6. COMPUTER NETWORKS: Goals and Applications of Networks, Network structure and architecture, The OSI reference model, services, Network Topology Design, Physical Layer Transmission Media, Switching methods, ISDN, Terminal Handling, Medium Access sub layer Channel Allocations, LAN protocols - ALOHA protocols -Overview of IEEE standards - FDDI. Data Link Layer - Elementary Data Link Protocols, Sliding Window protocols, Error Handling. Network Layer Point to Pont Networks, routing, Congestion control Internetworking -TCP/IP, IP packet, IP address, IPv6. Transport Layer Design issues, connection management, Session Layer-Design issues, remote procedure call. Presentation Layer-Design issues, Data compression techniques, cryptography TCP Window Management. Application Layer: File Transfer, Access and Management, Electronic mail, Virtual Terminals, Other application. Internet and Public Networks, Peer to Peer Network.
7. Principles of Programming Languages, Role of Programming Languages, Programming Paradigms, Programming Environments, Language Description: Syntactic Structure, Language Translation Issues: Programming Language Syntax, Stages in Translation, Formal Translation Models, Data Types, and Basic Statements, Binding, Type Checking, Scope, Scope Rules, Lifetime and Garbage Collection, Primitive Data Types, Strings, Array Types, Associative Arrays Record Types, Union Types, Pointers and References, Arithmetic Expressions, Overloaded Operators, Type Conversions, Relational and Boolean Expressions, Assignment Statements, Mixed Mode Assignments, Control Structures, Selection, Iterations, Branching, Guarded Statements, Subprograms and Implementations, Design Issues for Functions, Semantics of Call and Return, Implementing Simple Subprograms, Stack and Dynamic Local Variables, Nested Subprograms, Dynamic Scoping. Object-Orientation, Concurrency and Event Handling, Object Oriented Programming using C++and Java, Functional and Logic Programming Languages.
8.SOFTWARE PROJECT MANAGEMENT: Fundamentals of Software Project Management (SPM), Software Project Planning, Software Project Estimation, Project Organization and Scheduling Project Elements, Project Life Cycle and Product Life Cycle, Ways to Organize Personnel, Project Schedule, Scheduling Objectives, Building the Project Schedule, Scheduling Terminology and Techniques, Network Diagrams: PERT, CPM, Bar Charts: Milestone Charts, Gantt Charts, Dimensions of Project Monitoring & Control, Earned Value Analysis, Eamed Value Indicators: Budgeted Cost for Work Scheduled (BCWS), Cost Variance (CV), Schedule Variance (SV), Cost Performance Index (CPI), Schedule Performance Index (SPI), Interpretation of Earned Value Indicators, Error Tracking, Software Reviews, Software Quality Assurance and Testing ndows Project Management and Project Management Tools, Software Configuration
Software Configuration Management, Risk Management, Cost Benefit Analysis, SPM Tools: CASE Tools, Planning and Scheduling Tools, MS-Project.
9. CYBER SECURITY: Information Systems, its types and development, Information Security and its Need, Threats to Information Systems, Information Assurance, Cyber Security, and Security Risk Analysis. Application Security: Database, E-mail and Internet, Data Security Considerations: Backups, Archival Storage and Disposal of Data, Security Technology:, Firewall and VPNs, Intrusion Detection, Access Control. Security Threats -Viruses, Worms, Trojan Horse, Bombs, Trapdoors, Spoofs, E-mail Viruses, Macro Viruses, Malicious Software, Network and Denial of Services Attack, Security Threats to E-Commerce- Electronic Payment System, e- Cash, Credit/Debit Cards. Digital Signature, Public Key Cryptography, Developing Secure Information Systems, Information Security Governance & Risk Management, Security Architecture & Design Security Issues in Hardware, Data Storage & Downloadable Devices, Physical Security of IT Assets, Access Control, CCTV and Intrusion Detection Systems, Backup Security Measures. Security Policies: Development of Policies, WWW Policies, Email Security Policies, Policy Review Process-Corporate Policies-Sample Security Policies, Publishing and Notification Requirement of the Policies. Evolving Technology Security Mobile, Cloud, Outsourcing, SCM, Information Security Standards: ISO, IT Act, Copyright Act, Patent Law, IPR. Cyber Laws in India, IT Act -2000 Provisions, Intellectual Property Law, Software License, Semiconductor Law and Patent Law. Corporate Security
2. Data Structures: Elementary Data Organization, Built in Data Types in C/C++/JAVA Algorithm, Efficiency of an Algorithm, Time and Space Complexity, Asymptotic notations: Big Oh, Big Theta and Big Omega, Time-Space trade-off. Abstract Data Types (ADT), Arrays and Application of arrays, parse Matrices and their representations. Linked lists, Stacks, Queues, Searching and sorting, Graphs, Tree, Binary Tree and its applications, Hashing, B+tree.
3. Discrete Structures & Theory of Logic: Set Theory, Relations, Functions, Natural Numbers, Proof Methods, Proof by counter-example, Proof by contradiction. Algebraic Structures, Lattices, Propositional Logic, Trees, Graphs, Combinatorics.
4. Database Management Systems: Database System vs File System, Database System Concept and Architecture, Data Model Schema and Instances, Data Independence and Database Language and Interfaces, Data Definitions Language, DML, Overall Database Structure. Data Modeling Using the Entity Relationship and enhanced E-R, Relational data Model and Language, Relational Algebra, Relational Calculus, Tuple and Domain Calculus. SQL, Data Base Design & Normalization, NoSQL, Transaction Processing, Concurrency Control Techniques, Web Interface to DBMS, OO database, Case Studies of commercial DBMS.
5. Design and Analysis of Algorithm: Algorithms and its analysis, Complexity of Algorithms, Growth of Functions, Performance Measurements, Sorting and Order Statistics, Red-Black Trees, B-Trees, Binomial Heaps, Fibonacci Heaps, Tries, Skip List, Divide and Conquer with Examples Such as Sorting, Matrix Multiplication, Convex Hull and Searching. Greedy Methods: Optimal Reliability Allocation, Knapsack, Minimum Spanning Trees - Prim's and Kruskal's Algorithms, Single Source Shortest Paths. Dijkstra's and Bellman Ford Algorithms, Dynamic Programming such as Knapsack. All Pair Shortest Paths - Warshal's and Floyd's Algorithms, Resource Allocation Problem Backtracking, Branch and Bound techniques such as Travelling Salesman Problem, Graph Coloring, n-Queen Problem, Hamiltonian Cycles and Sum of Subsets. Algebraic Computation, Fast Fourier Transform, String Matching, Theory of NP-Completeness, Approximation Algorithms and Randomized Algorithms.
6. COMPUTER NETWORKS: Goals and Applications of Networks, Network structure and architecture, The OSI reference model, services, Network Topology Design, Physical Layer Transmission Media, Switching methods, ISDN, Terminal Handling, Medium Access sub layer Channel Allocations, LAN protocols - ALOHA protocols -Overview of IEEE standards - FDDI. Data Link Layer - Elementary Data Link Protocols, Sliding Window protocols, Error Handling. Network Layer Point to Pont Networks, routing, Congestion control Internetworking -TCP/IP, IP packet, IP address, IPv6. Transport Layer Design issues, connection management, Session Layer-Design issues, remote procedure call. Presentation Layer-Design issues, Data compression techniques, cryptography TCP Window Management. Application Layer: File Transfer, Access and Management, Electronic mail, Virtual Terminals, Other application. Internet and Public Networks, Peer to Peer Network.
7. Principles of Programming Languages, Role of Programming Languages, Programming Paradigms, Programming Environments, Language Description: Syntactic Structure, Language Translation Issues: Programming Language Syntax, Stages in Translation, Formal Translation Models, Data Types, and Basic Statements, Binding, Type Checking, Scope, Scope Rules, Lifetime and Garbage Collection, Primitive Data Types, Strings, Array Types, Associative Arrays Record Types, Union Types, Pointers and References, Arithmetic Expressions, Overloaded Operators, Type Conversions, Relational and Boolean Expressions, Assignment Statements, Mixed Mode Assignments, Control Structures, Selection, Iterations, Branching, Guarded Statements, Subprograms and Implementations, Design Issues for Functions, Semantics of Call and Return, Implementing Simple Subprograms, Stack and Dynamic Local Variables, Nested Subprograms, Dynamic Scoping. Object-Orientation, Concurrency and Event Handling, Object Oriented Programming using C++and Java, Functional and Logic Programming Languages.
8.SOFTWARE PROJECT MANAGEMENT: Fundamentals of Software Project Management (SPM), Software Project Planning, Software Project Estimation, Project Organization and Scheduling Project Elements, Project Life Cycle and Product Life Cycle, Ways to Organize Personnel, Project Schedule, Scheduling Objectives, Building the Project Schedule, Scheduling Terminology and Techniques, Network Diagrams: PERT, CPM, Bar Charts: Milestone Charts, Gantt Charts, Dimensions of Project Monitoring & Control, Earned Value Analysis, Eamed Value Indicators: Budgeted Cost for Work Scheduled (BCWS), Cost Variance (CV), Schedule Variance (SV), Cost Performance Index (CPI), Schedule Performance Index (SPI), Interpretation of Earned Value Indicators, Error Tracking, Software Reviews, Software Quality Assurance and Testing ndows Project Management and Project Management Tools, Software Configuration
Software Configuration Management, Risk Management, Cost Benefit Analysis, SPM Tools: CASE Tools, Planning and Scheduling Tools, MS-Project.
9. CYBER SECURITY: Information Systems, its types and development, Information Security and its Need, Threats to Information Systems, Information Assurance, Cyber Security, and Security Risk Analysis. Application Security: Database, E-mail and Internet, Data Security Considerations: Backups, Archival Storage and Disposal of Data, Security Technology:, Firewall and VPNs, Intrusion Detection, Access Control. Security Threats -Viruses, Worms, Trojan Horse, Bombs, Trapdoors, Spoofs, E-mail Viruses, Macro Viruses, Malicious Software, Network and Denial of Services Attack, Security Threats to E-Commerce- Electronic Payment System, e- Cash, Credit/Debit Cards. Digital Signature, Public Key Cryptography, Developing Secure Information Systems, Information Security Governance & Risk Management, Security Architecture & Design Security Issues in Hardware, Data Storage & Downloadable Devices, Physical Security of IT Assets, Access Control, CCTV and Intrusion Detection Systems, Backup Security Measures. Security Policies: Development of Policies, WWW Policies, Email Security Policies, Policy Review Process-Corporate Policies-Sample Security Policies, Publishing and Notification Requirement of the Policies. Evolving Technology Security Mobile, Cloud, Outsourcing, SCM, Information Security Standards: ISO, IT Act, Copyright Act, Patent Law, IPR. Cyber Laws in India, IT Act -2000 Provisions, Intellectual Property Law, Software License, Semiconductor Law and Patent Law. Corporate Security
2.Computer Science (Paper-II) :
1. OPERATING SYSTEMS: Operating System definition, function and services, Types and features, Operating System Structure- Layered structure, System Components, Reentrant Kemnels, Monolithic and Microkernel Systems, System Calls types, System Programs, Process and Thread: process states, process control block, Inter process communication; Process Synchronization: Classical problems of synchronization, Concurrent Processes CPU Scheduling Criteria and Algorithms, Memory Management, File management, Device Management and Disk scheduling, File Management, UNIX Commands and utilities, Linux: System components, Process management, scheduling, memory management, Networking software layers, Security, various editors, I/O devices, IPC
2. COMPUTER GRAPHICS: Types of computer graphics, Graphic Displays, Random scan displays, Raster scan displays, Frame buffer and video controlier, Points and lines drawing algorithms, Circle generating algorithms and parallel version of these algorithms, Basic and Composite Transformations, Reflections and shearing Windowing and dow Clipping, 3-D Geometric Primitives, representation, Transformation, projections and Clipping, Curves and Surfaces, Hidden Lines and Surfaces
3. ARTIFICIAL INTELLIGENCE: Introduction, Foundations and History of Artificial Intelligence, Applications of Artificial Intelligence, Intelligent Agents, Structure of Intelligent Agents. Computer vision, Natural Language Possessing, strategies, Informed search strategies and algorithms, Knowledge Representation & Reasoning, Machine Learning, Pattern Recognition.
4. COMPILER DESIGN: Phases and passes, Bootstrapping, Finite state machines and regular expressions and their applications to lexical analysis, Optimization of DFA-Based Pattern Matchers implementation of lexical analysis, Formal grammars and their application to syntax analysis, BNF notation, ambiguity, YACC. The syntactic specification of programming languages: Context free grammars, derivation and parse trees, capabilities of CFG, Parsing Techniques, Syntax-directed Translation, Symbol Tables, Run-Time Administration, Error Detection & Recovery, Code Generation and Code optimization.
5. SOFTWARE ENGINEERING: Introduction, Software life-cycle models, Software requirements, Requirements Specification, Software design and Software user interface design, Coding Issues, Software integration and testing, Software support processes and Quality Assurance, IEEE Software Engineering Standards, Software maintenance, Software reuse, SOFTWARE TESTING & AUDIT
6. DISTRIBUTED SYSTEM: Characterization of Distributed Systems, Theoretical Foundation for Distributed System, Distributed Mutual Exclusion, Distributed Deadlock Detection, Agreement Protocols, Distributed Resource Management, Failure Recovery in Distributed Systems, Transactions and Concurrency.
7. WEB TECHNOLOGIES: Introduction and Web Development Strategies, Protocols Governing Web, Writing Web Projects, Internet services and tools, Client-server computing. Core Java, Web Page Designing, XML, DOM and SAX, Dynamic HTML, Scripting, Networking, Enterprise Java Bean, Java Database Connectivity (JDBC), Merging Data from Multiple Tables, Servlets, Handling HTTP get and post Requests, Redirecting Requests to Other Resources, Session Tracking, Cookies, Session Tracking with Http Session, Java Server Pages (JSP)
8. IMAGE PROCESSING: DIGITAL IMAGE FUNDAMENTALS: Steps in Digital Image Processing Components Elements of Visual Perception Image Sensing and Acquisition-Image Sampling and Quantization-Relationships between pixels-Color RGB, HSI models, Two-dimensional mathematical image fundamentals preliminaries, 2D transforms - DFT, DCT. IMAGE ENHANCEMENT: Spatial Domain: Gray level transformations - Histogram processing Basics of Spatial Filtering-Smoothing and Sharpening Spatial Filtering, Frequency Domain: Introduction to Fourier Transform- Smoothing and Sharpening frequency domain filters - Ideal, Butterworth and Gaussian filters, Homomorphic filtering, Color image enhancement IMAGE RESTORATION: Image Restoration degradation model, Properties, Noise models-Mean Filters-Order Statistics-Adaptive filters-Band reject Filters-Band pass Filters - Notch Filters - Optimum Notch Filtering - Inverse Filtering - Wiener filtering, IMAGE SEGMENTATION. Edge detection, Edge linking via Hough transform-Thresholding - Region based segmentation - Region growing-Region splitting and merging Morphological processing- erosion and dilation, Segmentation by E morphological watersheds basic concepts Dam construction segmentation algorithm. IMAGE COMPRESSION AND RECOGNITION: Need for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, JPEG standard, MPEG, Boundary representation, Boundary description, Fourier Descriptor, Regional Descriptors Topological feature, Texture Patterns and Pattern classes-Watershed Recognition based on matching.
9.SOFT COMPUTING: Neural Networks, Fuzzy Logic and Genetic Algorithm(GA)
10.HIGH PERFORMANCE COMPUTING: Grid Computing, Cluster Computing, Beowulf Cluster, Cloud Computing.
2. COMPUTER GRAPHICS: Types of computer graphics, Graphic Displays, Random scan displays, Raster scan displays, Frame buffer and video controlier, Points and lines drawing algorithms, Circle generating algorithms and parallel version of these algorithms, Basic and Composite Transformations, Reflections and shearing Windowing and dow Clipping, 3-D Geometric Primitives, representation, Transformation, projections and Clipping, Curves and Surfaces, Hidden Lines and Surfaces
3. ARTIFICIAL INTELLIGENCE: Introduction, Foundations and History of Artificial Intelligence, Applications of Artificial Intelligence, Intelligent Agents, Structure of Intelligent Agents. Computer vision, Natural Language Possessing, strategies, Informed search strategies and algorithms, Knowledge Representation & Reasoning, Machine Learning, Pattern Recognition.
4. COMPILER DESIGN: Phases and passes, Bootstrapping, Finite state machines and regular expressions and their applications to lexical analysis, Optimization of DFA-Based Pattern Matchers implementation of lexical analysis, Formal grammars and their application to syntax analysis, BNF notation, ambiguity, YACC. The syntactic specification of programming languages: Context free grammars, derivation and parse trees, capabilities of CFG, Parsing Techniques, Syntax-directed Translation, Symbol Tables, Run-Time Administration, Error Detection & Recovery, Code Generation and Code optimization.
5. SOFTWARE ENGINEERING: Introduction, Software life-cycle models, Software requirements, Requirements Specification, Software design and Software user interface design, Coding Issues, Software integration and testing, Software support processes and Quality Assurance, IEEE Software Engineering Standards, Software maintenance, Software reuse, SOFTWARE TESTING & AUDIT
6. DISTRIBUTED SYSTEM: Characterization of Distributed Systems, Theoretical Foundation for Distributed System, Distributed Mutual Exclusion, Distributed Deadlock Detection, Agreement Protocols, Distributed Resource Management, Failure Recovery in Distributed Systems, Transactions and Concurrency.
7. WEB TECHNOLOGIES: Introduction and Web Development Strategies, Protocols Governing Web, Writing Web Projects, Internet services and tools, Client-server computing. Core Java, Web Page Designing, XML, DOM and SAX, Dynamic HTML, Scripting, Networking, Enterprise Java Bean, Java Database Connectivity (JDBC), Merging Data from Multiple Tables, Servlets, Handling HTTP get and post Requests, Redirecting Requests to Other Resources, Session Tracking, Cookies, Session Tracking with Http Session, Java Server Pages (JSP)
8. IMAGE PROCESSING: DIGITAL IMAGE FUNDAMENTALS: Steps in Digital Image Processing Components Elements of Visual Perception Image Sensing and Acquisition-Image Sampling and Quantization-Relationships between pixels-Color RGB, HSI models, Two-dimensional mathematical image fundamentals preliminaries, 2D transforms - DFT, DCT. IMAGE ENHANCEMENT: Spatial Domain: Gray level transformations - Histogram processing Basics of Spatial Filtering-Smoothing and Sharpening Spatial Filtering, Frequency Domain: Introduction to Fourier Transform- Smoothing and Sharpening frequency domain filters - Ideal, Butterworth and Gaussian filters, Homomorphic filtering, Color image enhancement IMAGE RESTORATION: Image Restoration degradation model, Properties, Noise models-Mean Filters-Order Statistics-Adaptive filters-Band reject Filters-Band pass Filters - Notch Filters - Optimum Notch Filtering - Inverse Filtering - Wiener filtering, IMAGE SEGMENTATION. Edge detection, Edge linking via Hough transform-Thresholding - Region based segmentation - Region growing-Region splitting and merging Morphological processing- erosion and dilation, Segmentation by E morphological watersheds basic concepts Dam construction segmentation algorithm. IMAGE COMPRESSION AND RECOGNITION: Need for data compression, Huffman, Run Length Encoding, Shift codes, Arithmetic coding, JPEG standard, MPEG, Boundary representation, Boundary description, Fourier Descriptor, Regional Descriptors Topological feature, Texture Patterns and Pattern classes-Watershed Recognition based on matching.
9.SOFT COMPUTING: Neural Networks, Fuzzy Logic and Genetic Algorithm(GA)
10.HIGH PERFORMANCE COMPUTING: Grid Computing, Cluster Computing, Beowulf Cluster, Cloud Computing.
UPPSC Polytechnic Lecturer (Computer Science) Exam Pattern 2026
Negative Marking : 0.33
UPPSC Polytechnic Lecturer Exam Date : 06th September 2026
Starting Date of Application Form : 02nd December 2025
Last Date of Application Form : 02nd January 2026
Total Post : 43
| Paper | Subject | No.of Question | Marks | Duration |
| Paper 1 | General Hindi | 25 | 75 | 150 Minutes |
| Main Subject | 100 | 300 | ||
| Paper 2 | General Studies | 25 | 75 | 150 Minutes |
| Main Subject | 100 | 300 | ||
| Total | 250 | 750 |
UPPSC Polytechnic Lecturer Exam Date : 06th September 2026
Starting Date of Application Form : 02nd December 2025
Last Date of Application Form : 02nd January 2026
Total Post : 43
FAQs
Uppsc Polytechnic Lecturer (computer Science) 2026 Exam Syllabus Frequently Asked Questions (FAQ's)
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UPPSC Polytechnic Lecturer Computer Science exam is not tough but it depends on your preparation. The candidates find the Subject not challenging. The dedicated preparation in the right direction will undoubtedly take you towards the goal.
The candidates must be well versed and acquainted with the syllabus and the exam pattern. Select the areas where improvement is required and schedule your preparation accordingly. To ace this exam, the applicants ought to maintain speed with high accuracy. Practicing previous years question papers will help you understand the exam pattern and the level of difficulty of the exam. You need to hone your strengths and improve upon your weaknesses. Toppersexam.com will aid you through the preparation and drive you to success. At Toppersexam.com, you can practice a complete set of test series along with a free UPPSC Polytechnic Lecturer Computer Science mock test designed by our expert faculty.
The syllabus of UPPSC Polytechnic Lecturer Computer Science Exam includes all topics that are important for the exam and are necessary for thorough preparation. Toppersexam provides a complete and updated syllabus with a detailed topic-wise breakdown.
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Yes, UPPSC Polytechnic Lecturer Computer Science Exam has a topic-wise syllabus that includes all relevant subtopics. Toppersexam provides the detailed breakdown, helping candidates focus on high-weightage areas and avoid missing important sections.
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The UPPSC Polytechnic Lecturer Computer Science Exam pattern includes details like the number of sections, total questions, marks distribution, and exam duration. Toppersexam provides a comprehensive guide on exam format, marking scheme, and question types.
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