# Competence in Software Technology Examination (CST) Syllabus

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**Competence in Software Technology Examination (CST) 2008 Syllabus**

**Syllabus for I Examination**

**General Aptitude (GA)**: Same as that for E Level

**Computer Concepts (CC)**: Same as that for E Level

**Computer Programming in C (CP)**: Data types, expression evaluation, precedence rules, type conversions, sequential structure, selective structure, repetitive structure, functions (including recursion), arrays, pointers, structures and unions, operations on bits, file processing, pre-processor. The syntax assumed will be that of ANSI C. Approximately 20% of the questions will test the candidate’s knowledge of the syntactical structure of ‘C’. The remaining questions will test the candidate’s working knowledge and understanding of the ‘C’.

**Syllabus for D Level Examination**

**General Aptitude (GA)**: Same as that for E Level

**Computer Programming in C (CP)**: Same as that for I Level

**Computer Organization and Operating Systems (CO)**

**Basic concepts in Computer organization**: Boolean algebra, number systems – binary, octal and hexadecimal, fixed point and floating point number representations.

**Computer structure** – Von Neumann architecture, system bus, CPU instruction cycle, programmed I/O, interrupts and DMA, CPU registers, instruction formats and addressing modes.

**Memory organisation** – types and hierarchy, model level organization, cache memory performance and design issues such as mapping, replacement and write policies.

**CPU Performance Enhancement **– Basic idea of RISC and pipelined architectures.

**Fundamentals of operating systems** – OS services and components, multitasking, multiprogramming, timesharing, buffering, spooling.

**Process and thread management** – concept of process and threads, process states, process management, context switching, user and kernel mode switching, interaction between processes and OS, multithreading, user and kernel level threads.

**Concurrency control **– concurrency and race conditions, mutual exclusion requirements, software and hardware solutions, semaphores, monitors, classical IPC problems and solutions, deadlocks – characterization, detection, recovery, avoidance and prevention.

**Memory management** – memory partitioning, swapping, paging, segmentation, virtual memory, page replacement algorithms.

**I/O **– interrupt handlers, device drivers, device independent software subsystem.

**File systems **– file storage, access methods and free space management.

**Distributed systems** – Basics of parallel, networked and distributed systems.

**Security **– Need and strategies for security in standalone and networked systems, concept of access control list and capabilities, password and encryption schemes.

**Unix Operating System **– basic design principles, concepts of kernel and shell, fundamentals of file system, process models and IPC mechanisms.

**Data Structures and Algorithms (DS)**

This paper does not assume an in-depth knowledge of any particular programming language. If and when code segments are required to be given in questions, we will use a pseudo-language based on C/Java.

**Abstract data types**: Notion of abstract data types and data structures, simple data structures including arrays, stacks, queues and linked lists (linear, circular and doubly-linked).

**Trees**: Different types of trees including binary trees, complete binary trees, almost complete binary trees, binary search trees, balanced binary trees including AVL trees, heaps, multi-way search trees and B-trees; insertion and deletion of nodes and traversal in each of these types of trees.

**Graphs**: Representations, directed and undirected graphs, notion of path, path finding algorithms, Dijkstra’s shortest-path algorithm, traversals and spanning trees, minimum spanning tree (algorithms of Kruskal and Prim), applications of graphs such as network flow problem and topological sort.

**Algorithms**: Order notation; notions of P, NP and NP-complete problems, basics of algorithms design, different classes of algorithms; the following algorithms and their complexity measures: bubble sort, quick sort, selection sort, insertion sort, shell sort, heap sort and merge sort; searching algorithms including sequential search, ordered table search, binary search and binary tree search; hashing (hash collision, primary and secondary clustering, open addressing and chaining techniques, hash functions).

Competence in Software Technology Examination (CST) 2008 Syllabus

Syllabus for I Examination

General Aptitude (GA): Same as that for E Level

Computer Concepts (CC): Same as that for E Level

Computer Programming in C (CP): Data types, expression evaluation, precedence rules, type conversions, sequential structure, selective structure, repetitive structure, functions (including recursion), arrays, pointers, structures and unions, operations on bits, file processing, pre-processor. The syntax assumed will be that of ANSI C. Approximately 20% of the questions will test the candidate’s knowledge of the syntactical structure of ‘C’. The remaining questions will test the candidate’s working knowledge and understanding of the ‘C’.

Syllabus for D Level Examination

General Aptitude (GA): Same as that for E Level

Computer Programming in C (CP): Same as that for I Level

Computer Organization and Operating Systems (CO)

Basic concepts in Computer organization: Boolean algebra, number systems – binary, octal and hexadecimal, fixed point and floating point number representations.

Computer structure – Von Neumann architecture, system bus, CPU instruction cycle, programmed I/O, interrupts and DMA, CPU registers, instruction formats and addressing modes.

Memory organisation – types and hierarchy, model level organization, cache memory performance and design issues such as mapping, replacement and write policies.

CPU Performance Enhancement – Basic idea of RISC and pipelined architectures.

Fundamentals of operating systems – OS services and components, multitasking, multiprogramming, timesharing, buffering, spooling.

Process and thread management – concept of process and threads, process states, process management, context switching, user and kernel mode switching, interaction between processes and OS, multithreading, user and kernel level threads.

Concurrency control – concurrency and race conditions, mutual exclusion requirements, software and hardware solutions, semaphores, monitors, classical IPC problems and solutions, deadlocks – characterization, detection, recovery, avoidance and prevention.

Memory management – memory partitioning, swapping, paging, segmentation, virtual memory, page replacement algorithms.

I/O – interrupt handlers, device drivers, device independent software subsystem.

File systems – file storage, access methods and free space management.

Distributed systems – Basics of parallel, networked and distributed systems.

Security – Need and strategies for security in standalone and networked systems, concept of access control list and capabilities, password and encryption schemes.

Unix Operating System – basic design principles, concepts of kernel and shell, fundamentals of file system, process models and IPC mechanisms.

Data Structures and Algorithms (DS)

This paper does not assume an in-depth knowledge of any particular programming language. If and when code segments are required to be given in questions, we will use a pseudo-language based on C/Java.

Abstract data types: Notion of abstract data types and data structures, simple data structures including arrays, stacks, queues and linked lists (linear, circular and doubly-linked).

Trees: Different types of trees including binary trees, complete binary trees, almost complete binary trees, binary search trees, balanced binary trees including AVL trees, heaps, multi-way search trees and B-trees; insertion and deletion of nodes and traversal in each of these types of trees.

Graphs: Representations, directed and undirected graphs, notion of path, path finding algorithms, Dijkstra’s shortest-path algorithm, traversals and spanning trees, minimum spanning tree (algorithms of Kruskal and Prim), applications of graphs such as network flow problem and topological sort.

Algorithms: Order notation; notions of P, NP and NP-complete problems, basics of algorithms design, different classes of algorithms; the following algorithms and their complexity measures: bubble sort, quick sort, selection sort, insertion sort, shell sort, heap sort and merge sort; searching algorithms including sequential search, ordered table search, binary search and binary tree search; hashing (hash collision, primary and secondary clustering, open addressing and chaining techniques, hash functions).

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