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KEA Assistant Professor Computer Science Vacancy 2026: Apply Online, Selection Process

📅 Updated On 19 October 2026✨ Update By Jyoti Sharma🌐 Hindi & English

New Vacancy 2026

KEA Assistant Professor Computer Science 2026 Notification, Online Form & Exam Date
 
KEA Assistant Professor Computer Science Vacancy 2026 provides a golden opportunity for aspirants seeking stable government jobs. Interested candidates can apply online for the posts after verifying the official eligibility criteria, age limit, and educational qualifications. Ensure you track the application deadlines and stay updated with the latest KEA Assistant Professor Computer Science 2026 recruitment news for a smooth registration process.
To crack the KEA Assistant Professor Computer Science 2026 exam, understanding the detailed syllabus and exam pattern is mandatory. Aspirants should focus on strategic planning and rigorous time management for each selection phase. Boosting your speed through online mock tests and regular practice is the key to securing a high score in this competitive recruitment. For premium study material and practice sets, follow the expert curated resources on toppersexam.com.
 
 

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KEA Assistant Professor (Computer Science) Syllabus 2026, Exam Pattern

KEA Assistant Professor (Computer Science) Syllabus 2026, Exam Pattern, Exam Date 2026

Detail Information about KEA (Karnataka Examinations Authority) has published notification 2026 for the recruitment of Assistant Professor (Computer Science) Exam 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.
KEA Assistant Professor Syllabus 2026 - Overview
 
Organisation Name KEA (Karnataka Examinations Authority)
Post Name Assistant Professor (Computer Science)
Category Syllabus and Exam Pattern
Exam Date 2026 Notified  Soon
Official Website cetonline.karnataka.gov.in
 
KEA Assistant Professor (Computer Science) Syllabus 2026
General Knowledge
1. Important Days
2. Current Affairs – National and International
3. Abbreviations
4. General Policy
5. Science and Technology
6. Science – Inventions & Discoveries
7. Capitals of India
8. Indian Economy
9. Administrative Structure: bureaucracy, the structure of administration
10. Panchayati Raj Institutions and Voluntary Agencies: Functions of government and non-
11. government organizations for rural development
12. Agricultural Extension Services
13. Emergence and Growth of Panchayati Raj Institutions in India
14. People and Panchayati Raj
15. Financial Organizations in Panchayati Raj Institutions
16. Concept of development
17. Indicators of development
18. The conceptual framework, Strategies
19. Rural development in India
20. A retrospective
21. Policies, Programs
22. Techniques for planning
23. Detail steps in district and block level planning
24. Area Development Planning
25. Definition, purpose, Area development plans
26. Budget and Five Year Plans
27. Countries and Capitals
28. Indian History
29. Books and Authors
30. Awards and Honors
31. International and National Organizations
32. Indian National Movement
33. Sports

Computer Science
 
UNIT-1
 
1. Number System – Different number systems, Conversion from one system to another, signed numbers representation, complements, BCD codes, Alphanumeric codes, Logic gates Boolean algebra laws, Demorgan’s theorem, SOP and POS, Simplification using K map.
 
2. Combinational and sequential logic circuits- Adders, Subtractors, parallel adders, Multiplexer and De-multiplexers, Encoder & decoder, Flip Flops-Different types of FLIP FLOPs with their design, Counter – Synchronous and Asynchronous, Up and down synchronous counters, cascaded counters, Shift registers
 
3. C Language-Features, General structure, Data types, Operators in C, Expressions , Input/output in C, Decision making and looping statements, Arrays-Declaration and initialization of one and two dimensional array.
 
4. Strings, Functions, Structure and union -String declaration and initialization, string handling functions, Functions – Need for functions, categories of functions, recursion, function with arrays and strings, scope and life time of variables, structures and unions
 
5. Pointers and Files– Pointer declaration, pointer arithmetic, pointers and functions, array of pointer and pointer to an array, Preprocessor and Files – Macro substitution, file inclusion, command line arguments, file handling functions
 
UNIT-2
 
1. Object oriented programming - Object oriented concepts, C++ as an Object oriented programming, C v/s C++, C++ special operators, reference variable, data types , expressions, functions - Default arguments, function overloading, inline functions, friend functions
 
2. Classes and Object – Defining class, class member function definition, nesting member functions, Member function with object as arguments and return type, static data members,
3. array of objects, constructors and destructors – constructor overloading, copy constructors, Dynamic constructors, 2d array constructions
 
4. Operator overloading and Inheritance – Operator function, overloading unary and binary operators, non-overloaded operators in C++, Inheritance – Need for inheritance, access specifiers, Types of inheritance
 
5. Pointers – Pointer to objects, this pointer, and virtual functions, virtual base class , type conversion, stream classes, formatted and unformatted i/o functions, Stream classes, unformatted i/o operations, formatting of outputios class functions and flags, manipulators, Files and Templates: Introduction to files, file creation, file types, file handling functions, error handling in file operations, class template, function template, template with parameters.
 
UNIT-3
 
1. Data structure – Introduction, categories, Algorithm notation and complexity, Linear data structures –Array, Stack , Queues, Linked List , Dynamic memory management, Types of linked list- Linear, circularly and doubly linked lists, Applications of different linear data structures
 
2. Trees and Graphs – Tree definition, terminology, Tree traversal, B tree, B+ tree, Binary search tree, Graph – Graph terminologies, Graph representation , Graph Traversal-DFS and BFS, Warsh all’s algorithm
 
3. Searching and Sorting –Searching– Binary and linear search, different sorting techniques Bubble, insertion, selection, quick sort, shell sort, merge sort with their time complexity, hashing techniques
 
4. System software – Functions of various system software, Assembler design. Different loading schemes with their advantages and disadvantages. Subroutine Linkage, Macro processor – Macro instruction, macro with arguments, conditional macro expansion, macro calls within macro, Specification of databases and formats, algorithm for macro definition processing
 
5. Compiler – Introduction, Compiler Phases, code optimization techniques – Machine independent and dependent code optimization techniques, Parsing Techniques – Top down parse – LL, Recursive descent, Operator precedence, LR parsers
 
UNIT-4
 
1. Operating system – Functions and Services, Types of Operating system – batch, multiprogramming, time sharing, Process – Process state, Scheduling criteria, Scheduling policies, Threading concepts and Multithreading
 
2. Memory management – Functions, non virtual memory management techniques – Contiguous, partitioned, paging techniques, virtual memory management techniques, page replacement algorithms – FIF, LRU, tuple coupling, overlays
 
3. Process Synchronization, Critical section problem, Bakery Algorithm, Semaphores, Synchronization problems- Bounded Buffer Problem, Readers-Writers problem and Dining Philosophers problem.
 
4. Deadlocks: Deadlock Characterization, Methods for Handling Deadlocks, Deadlock Prevention, Avoidance and recovery, Banker algorithms, Disk scheduling – disk scheduling policies, file management – file concept, file allocation and access, directory structures
 
5. UNIX –Features of UNIX, Architecture, Different types of shell, File and directory related command, file system, filters in UNIX, UNIX editor, shell programming, administrative commands
 
UNIT-5
 
1. Software Engineering – Introduction, Challenges, different software development process model with their merits and demerits, Characteristics of software process, Software Metrics
 
2. Software planning :Estimation of efforts, cost estimation model, project scheduling and staffing, risk assessment and management, project monitoring and planning
 
3. Problem analysis, SRS – Components and characteristics, Specification language, validation, design principles and methodology – Modular, Top down and bottom up, Object oriented, DFD
 
4. Coding and Testing – Programming guidelines and characteristics, Structured programming, information hiding, Testing – Levels of testing, Block box and white box testing, verification and validation
 
5. Software quality assurance, Software Maintenance – Need for maintenance, maintenance activities, Different types of maintenance
 
UNIT-6
 
1. DBMS - Introduction , Database Architecture , Database users, Data Models, Abstractions, ER Model, Relational Data Model – Relational algebra and Relational calculus, Relational model Constraints, Transaction, Concurrent executions, Serializability
 
2. Normalization- 1NF, 2NF, Functional Dependencies, Transitive and Multivalued dependency- 3NF, BCNF, Advantages of RDBMS- Codd’s Rules. SQL –data types, DDL, DML and TCL and DCL commands, Set Operations, Aggregate functions, Views, Joins
 
3. Data communication – Components of communication systems, Topologies, Transmission modes, Network classification, Signal transmission – Analog and Digital transmission, Encoding techniques, Guided and unguided communication media
 
4. OSI model – Services of various layers, Internetworking devices, Protocols –TCP, UDP, IP, IPV4, IPV6, TCP/IP Suite, SMTP, Datagram and virtual circuits.
 
5. Switching networks – Circuit, Packet and message switching, ALOHA, Routing algorithm – Shortest path, congestion control, 802 LAN standards, Multiplexing and Demultiplexing, RPC, TCP, UDP, Cryptography
 
UNIT-7
 
1. Set theory – Notations, set operations, power set, set identities, Relations and ordering – Relations, Properties of Binary relation, Matrix representation of relations, Closures of relations, Equivalence relations, Partial order relation.
 
2. Functions – Introduction, Composition of Functions, Inverse Functions, Groups & Subgroups, Mathematical Logics - Connectives, Negation, Conjunction, Disjunction, Statement Formulas and Truth Tables, Conditional and Bi-conditional.
 
3. Tautologies, Equivalence of Formulas, Tautological Implications, Theory of Inference and deduction. Predicate Calculus, Mathematical Induction.
 
4. Computer Graphics – Applications, Graphical input and output devices, Scan conversion - Scan conversion method, Line and Circle drawing algorithm – DDA, Brenham’s and Midpoint method
 
5. 2D and 3d geometrical transformations – Basic and Composite 2d transformation, transformations in homogeneous notation, Basic 3D transformation, Projection –parallel projection, orthographic projection, axonometric projection, oblique projection, perspective projection, viewing an clip ling, clipping algorithms
 
UNIT-8
 
1. Java – Features, applications, Java API, SDK, Java class and objects – Defining and creating objects, Interface and Packages, Multithreading: Threading concepts, thread methods and 
2. exceptions
 
3. Error handling – Different types of exceptions , Java Applets –Life cycle and applet methods, graphics and networking application with applets
 
4. Web Technology - HTTP & FTP Protocols, Tier architecture, XML, DTD’s, Style sheets and Transformation: CSS, SAX, and DOM.
 
5. Web Server Concept, Creating Dynamic Content, Sessions and State, Error handling and Authentication Multimedia communication - Multimedia data representation, Compression techniques for different multimedia data – text, audio, image and video, Compression standard, Multimedia editing tools
 
UNIT-9
 
1. Algorithm – Characteristics, Performance analysis, asymptotic notation, analysis of recursive and iterative algorithm, Divide and Conquer– Binary search, Quick sort, merge sort, Finding maximum and minimum, Greedy method.
 
2. Dynamic programming and traversal techniques - 0/1 Knapsack, travelling salesman, all pair shortest path, Breadth first search and Depth first search techniques.
 
3. Branch and bound and backtracking – 0/1 knapsack, travelling salesman, 8 queens problem, graph coloring, hamiltoni an cycle problem
 
4. Computer oriented numerical techniques – Computer arithmetic, Floating point arithmetic, errors, root finding methods – Bisection, Regula falsi, Newton raphson and Secant method, Order of convergence
 
5. Differential equation and Numerical integration - Euler’s method, modified euler, Taylor series method, Range Kutta II and IV order methods, predictor corrector methods, Simpson’s 1/3 and 3/8 rule, Trapezoidal rule.
 
6. Simultaneous equations – Gauss elimination, Gauss seidel, Gauss Jordan, LU decomposition, Interpolation techniques - Lagrange interpolation, Difference Tables- Newton-Gregory Forward and Backward interpolation
 
UNIT-10
 
1. Data mining – Introduction to data mining and data warehousing, data mining stages : preprocessing - Data cleaning, Data integration and reduction, different reduction techniques, data transformation.
 
2. Association and Correlation –Basic Concept, Frequent Item set mining methods, pattern evaluation methods
 
3. Classification - Decision tree Induction, Attribute Selection Measures, Tree Pruning, Bayesian classification, back propagation, SVM.
 
4. Clustering – Introduction to cluster analysis, Data types, clustering methods-Hierarchical and partitional clustering, Density based, model based, grid based clustering methods, K means
5. clustering, high dimensional data clustering.
 
6. Security issues – Security attack, issues, Encryption and decryption, encryption techniques, firewalls – concepts, hardware and software firewalls, virus and antivirus

KEA Assistant Professor (Computer Science) Exam Pattern 2026
Note : Compulsory Part – B shall be negative marking for each wrong answer (with deductions of 0.25 mark for one mark questions, and 0.50 mark for 2 marks questions)
 
S.No Subject No.of Question Marks Duration
Part A (Descriptive) Paper 1 Kannada 100 100 2 Hour
Paper 2 English 100 100 2 Hour
Part B (MCQ) Paper 3 General Knowledge 50 50 2 Hour
Paper 4 Optional Subject (Computer Science) 125 250 3 Hour

KEA Exam Date 2026 : Notified  Soon
Starting Date of Application Form : Notified  Soon
Last Date of Application Form : Notified  Soon

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KEA Assistant Professor (Computer Science) Exam Paper 3 - English50 questions
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KEA Assistant Professor (Computer Science) Exam Paper 4 - English125 questions
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