Competence in Software Technology Examination (CST) 2008 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).