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HSST Computer Science Syllabus 2018 Kerala PSC HSST Part I/II Exam Pattern

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HSST computer science syllabus

HSST Computer Science Syllabus 2018: Appearing aspirants in Higher Secondary School Teacher (HSST) Exam can download HSST computer science syllabus from here. Along with the Kerala PSC HSST computer science syllabus, you can also acquire Kerala PSC HSST Part I/II Exam Pattern from this page.

Individuals can crack the competitive exam only when they have the proper knowledge regarding HSST computer science syllabus. The examination scheme,duration and many other Facts given in the exam pattern will be really helpful for the aspirants to score good marks in the exam.

Highlights of this Page:
  • HSST computer science syllabus
  • Exam Pattern
  • Study strategy
  • Final words
Students are suggested to tap on the direct link and get the HSST computer science syllabus 2018 PDF. The detailed description in HSST computer science syllabus will help the candidates to prepare each and every topic properly.

For your sake, we have provided some preparation tips along with HSST Computer Science Syllabus 2018 on the downwards section of this page which is well organized and furnished by the team of www.privatejobshub.in.

HSST Computer Science syllabus

1. Discrete Structures:

Sets, Relations, Functions. Pigeonhole Principle, Inclusion-Exclusion principle, Equivalence and
Partial Orderings. Elementary Counting Techniques.
Computability : Models of computation - Finite Automata, Pushdown Automata, Non –determinism and NFA, DPDA and PDA s and Languages accepted by these structures.
Grammars - types of grammars - type 0 , type I, type 2 and type 3. The relationship between types of grammars,Languages, Non-computability, Non-computable problems.
Groups : Finite fields and Error correcting / detecting codes.
Propositional logic. Predicate logic. Well-formed formulae (WFF). Satisfiability and Tautology.


2. Computer Arithmetic:

Logic families
TTL, ECL and C-MOS gates. Boolean algebra and Minimization of Boolean functions, Flip-flops- types, race condition and comparison, Design of combinational and sequential circuits.
Representation of Integers
Octal. Hex. Decimal and Binary 2's complement and 1's complement arithmetic. Floating point representation.

3. Programming in C and C++

Programming in C
Elements of C - Tokens, identifiers, data types in C, Control constructs in C, Sequence, selection and iteration. Structured data types in C - arrays, structs, unions, strings and pointers.
Object-Oriented programming Concepts
Class - object, instantiation, Inheritance –polymorphism and overloading, aggregation, abstract classes, generalization as extension and restriction. Object oriented design. Multiple inheritance
C++ - programming
Elements of C++ - Tokens, Identifiers, Variables and constants. Data types, Operators. Control statements, Functions, parameter passing, Class and objects, Constructors and destructors, Overloading, Inheritance, Templates, Exception handling.


4. Relational Database Design and Query Languages:

E-R diagrams, Transformation of E-R models to relational design, Normalization - INF, 2NF, 3NF, BCNF and 4NF.
SQL : Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (CDL) Commands. Database objects like- Views, indexes, sequences, synonyms, data dictionary, Embedded SQL, QBE Query Processing and Optimisation,
Centralised and Distributed Database, Security, Concurrency and Recovery in Centralised and Distributed Database Systems, Object Oriented Database Management Systems – Concepts, Composite objects, Integration with RDBMS applications.

5. Data Structures and Algorithms:

Data, Information
Definition of data structure, Arrays, stacks, queues, linked lists, trees, 
graphs, priority queues and heaps.
File Structures
Fields, records and files. Sequential, direct, index-sequential and
 relative files. Hashing, inverted list and multi-lists, B-trees and B+ trees.
Graphs
Definition, walks, paths, connected graphs, regular and bipartite graphs, 
cycles and circuits. Tree and rooted tree, Spanning trees, Eccentricity of a 
vertex radius and diameter of a graph, Hamiltonian and Eulerian graphs. 
Planar graphs. Sorting and Searching Algorithms, Analysis of
 Algorithms, Interpolation and Binary Search.
Asymptotic notations
big oh. omega and theta. Average case analysis of simple programs 
like finding of a maximum of n elements. Recursion. Quick sort.
Design of Algorithms
Divide and Conquer. Greedy method. Dynamic programming. 
Back tracking. Branch and Bound).

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6. Data Communication and Computer Networks:

Data Communication
 Analog and Digital transmission. Asynchronous and Synchronous 
transmission. Transmission media. Multiplexing and Concentration, 
Switching techniques. Polling. Channel capacity. Transmission media -
 twisted pair, coaxial cables, fibre-optic cables, wireless transmission- 
radio, microwave and infrared waves. Light wave transmission.
 Telephones - local loop, trunks, multiplexing, switching, narrow
 band ISDN, broadband ISDN. ATM, High speed LANs.
 Cellular Radio, Communication satellites, geosynchronous and low-orbit.
Reference Models
 The OSI model, TCP/IP model. Topologies, Networking Devices. 
Protocols for - (i) Data link layer (ii) Network layer, and 
(iii) Transport layer, TCP/IP protocols, Networks security, 
Network administration. Local Area Networks (LAN), Metropolitan
 Area Networks (MAN), Wide Area Networks (WAN). Wireless Networks, 
Inter Networks.
Internetworking
 Switch/Hub. Bridge. Router. Gateways. Concentrated virtual
 circuits. Tunnelling, Fragmentation. Firewalls.
Routing
 Virtual circuits and datagrams. Routing Algorithms. Congestion control.
Network Security
 Cryptography - public key, secret key, Domain Name System 
(DNS) – Electronic Mail and World Wide Web {WWW). 
The DNS, Resource Records. Name servers. E-mail architecture
 and E-mail Servers.

7. System software and Compilers:

Assembly language fundamentals (8085 and 8088 based assembly language programming). Assemblers - 2-pass and single-pass. Macros and macro processors.
Loading, linking, relocation, program relocatability. Linkage editing.
Text editors, Programming Environments. Debuggers and program generators.
Compilation and Interpretation. Bootstrapping. Phases of compilation. Lexical analysis. LEX. Context free grammars. Parsing and parse trees. Representation of parse trees and rightmost and leftmost derivations, Bottom up parsers - shift-reduce. operator precedence and LR. YACC.
Top down parsers - left recursion and its removal. Recursive descent parser. Predictive parser.
Intermediate codes - Quadruples, Triples. Indirect Triples. Intermediate code generation, Code generation, Code optimization.


8. Operating Systems:

Main functions of operating systems. Multiprogramming, multiprocessing and multitasking.
Memory management : Virtual memory, paging, fragmentation.
Concurrent processing : Mutual exclusion. Critical regions, lock and unlock.
Scheduling : CPU scheduling. I/O Scheduling. Resource scheduling. Deadlock and scheduling algorithms. Banker's algorithm for deadlock handling.
The Unix system : File system, process management. Bourne shell, shell variables, command line programming.
Systems Calls :Creat, open, close, read, write. Iseek, link, unlink, stat, fstat, umask, chmod, exec, fork, wait, system.


9. Software Engineering:

System Development Life Cycle (SDLC)
 Steps, Water fall model. Prototypes, Spiral model.
Software Metrics
 Software Project Management.
Software Design
 System design. detailed design. function oriented design, object-oriented design, user interface design. Design level metrics.
Coding and Testing
 Testing level metrics. Software quality and reliability. Clean room approach, software engineering

10. Computer Graphics:

Display systems. Input devices, 2D Geometry –
Algorithms for drawing primitives, clipping and windowing, windows, view ports, Graphic operations for transformations , 3D Graphics
Animation, Graphics standard.Applications. Storage Devices, Input Tools. Authoring Tools, Application, Files.


11. Programming Language Theory:

Programming language concepts, paradigms, models.
Data. Data types, Operators, Expressions. Assignment. Flow of Control - Control structures, I/O structures. I/O statements, User-Defined and built-in functions. Parameter passing.
Principles, classes, inheritance, class hierarchies, polymorphism, dynamic binding, reference semantics and their implementation.
Principles, functions, lists, types and polymorphism, higher order functions, lazy evaluation, equations and pattern matching.
Principles, horn clauses and their execution, logical variables, relations, data structures, controlling the search order, program development in Prolog, implementation of Prolog, example programs in Prolog.

12. Current Trends and Technologies:

The topics of current interest in Computer Science and Computer Applications shall be covered. The experts shall use their judgement from time to time to include the topics of popular interest which are expected to be known by an ardent follower of the field. Currently, they include:

Parallel computing: Parallel virtual Machine (PVM) and message passing interface (MPI) libraries and calls. Advanced architectures. Today's fastest computers.
Mobile Computing: Mobile connectivity - Cells. Framework, wireless delivery technology and switching methods, mobile information access devices, mobile data internetworking standards, cellular data communication protocols, mobile computing applications. Mobile databases - protocols, scope, tools and technology.
E-Technologies: Electronic Commerce: Framework, Media convergence of Applications, Consumer Applications, Organisation applications
Electronic Payment Systems: Digital Token, Smart Cards, Credit Cards. Risks in Electronic Payment System, Designing Electronic Payment Systems.
Electronic Data Interchange (EDI): Concepts, Applications, (Legal, Security and Privacy) issues. EDI and Electronic Commerce. Standardisation and EDI. EDI Software Implementation. EDI Envelope for Message Transport, internet-based EDI.
Data Warehousing: Data Warehouse environment, architecture of a data warehouse methodology, analysis, design, construction and administration.
Data Mining: Extracting models and patterns from large databases, data mining techniques, classification, regression, clustering, summarization, dependency modelling, link analysis, sequencing analysis, mining scientific and business data.
Principles of parallelism, co routines, communication and execution, Parallel Virtual Machine (PVM) and Message Passing Interface (MPI) routines and calls. Parallel programs in PVM paradigm as well as MPl paradigm for simple problems like matrix multiplication.


HSST Computer Science Exam Pattern:
  • HSST exam is based on OMR sheet.
  • Multiple choice questions will be asked in the exam that is each question will have 4 options from which you need to choose only one correct answer.
  • Question paper of Kerala PSC HSST exam will be total of 100 marks.
  • Duration to complete the exam is 1 ¼ hour.
  • For every correct attempted answers, one mark will be awarded to the aspirants.
Part
Subjects
Maximum Marks
Exam Duration
I
Core Subject


100 marks


1 ¼ hour
II
Research Methodology & Teaching Aptitude
III
Salient Features of Indian Constitution, Social Welfare Legislations & Programmes
IV
General Knowledge, Current Affairs & Renaissance in Kerala

Study Strategy:
  • Firstly the candidates must refer to the latest HSST Computer Science Syllabus to begin their preparation.
  • Practice from the previous year question papers so as to maintain your speed, time and accuracy.
  • You should learn for how to manage your time in case of lengthy topics in PSC HSST computer science syllabus.
  • While you are preparing for the General Knowledge and Current Affairs section, you must be aware about the all the current happenings around the country and world.
  • Read the current affairs and newspapers daily to gain the knowledge.
  • Solve the PSC previous year question papers and collect the data about the most important questions which are regularly asked every year.
  • Learn all the short cut tricks to solve the toughest part in frequent manner
  • Make your grammar section strong so that you may not face trouble while answering the questions.

Note:

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