Information Technology Syllabus

Information Technology Syllabus

Postby Administrator » Sat May 26, 2007 1:42 pm

IT – INFORMATION TECHNOLOGY
ENGINEERING MATHEMATICS
Mathematical Logic: Propositional Logic; First Order Logic.
Probability: Conditional Probability; Mean, Median, Mode and Standard Deviation; Random
Variables; Distributions; uniform, normal, exponential, Poisson, Binomial.
Page 17
Set Theory & Algebra: Sets; Relations; Functions; Groups; Partial Orders; Lattice; Boolean
Algebra.
Combinatorics: Permutations; Combinations; Counting; Summation; generating functions;
recurrence relations; asymptotics.
Graph Theory: Connectivity; spanning trees; Cut vertices & edges; covering; matching;
independent sets; Colouring; Planarity; Isomorphism.
Linear Algebra: Algebra of matrices, determinants, systems of linear equations, Eigen values
and Eigen vectors.
Numerical Methods: LU decomposition for systems of linear equations; numerical solutions of
non-linear algebraic equations by Secant, Bisection and Newton-Raphson Methods; Numerical
integration by trapezoidal and Simpson’s rules.
Calculus: Limit, Continuity & differentiability, Mean value Theorems, Theorems of integral
calculus, evaluation of definite & improper integrals, Partial derivatives, Total derivatives, maxima
& minima.
FORMAL LANGUAGES AND AUTOMATA
Regular Languages: finite automata, regular expressions, regular grammar.
Context free languages: push down automata, context free grammars
COMPUTER HARDWARE
Digital Logic: Logic functions, minimization, design and synthesis of combinatorial and
sequential circuits, number representation and computer arithmetic (fixed and floating point)
Computer organization: Machine instructions and addressing modes, ALU and data path,
hardwired and microprogrammed control, memory interface, I/O interface (interrupt and DMA
mode), serial communication interface, instruction pipelining, cache, main and secondary storage
SOFTWARE SYSTEMS
Data structures and Algorithms: the notion of abstract data types, stack, queue, list, set, string,
tree, binary search tree, heap, graph, tree and graph traversals, connected components,
spanning trees, shortest paths, hashing, sorting, searching, design techniques (greedy, dynamic,
divide and conquer, Algorithm design by induction), asymptotic analysis (best, worst, average
cases) of time and space, upper and lower bounds, Basic concepts of complexity classes – P,
NP, NP-hard, NP-complete.
Programming Methodology: Scope, binding, parameter passing, recursion, C programming –
data types and declarations, assignment and control flow statements, 1-d and 2-d arrays,
functions, pointers, concepts of object-oriented programming - classes, objects, inheritance,
polymorphism, operator overloading.
Operating Systems (in the context of Unix): classical concepts (concurrency, synchronization,
deadlock), processes, threads and interprocess communication, CPU scheduling, memory
management, file systems, I/O systems, protection and security, shell programming.
Information Systems and Software Engineering: information gathering, requirement and
feasibility analysis, data flow diagrams, process specifications, input/output design, process life
cycle, planning and managing the project, design, coding, testing, implementation, maintenance.
Databases: E-R diagrams, relational model, database design, integrity constraints, normal forms,
query languages (SQL), file structures (sequential, indexed), b-trees, transaction and concurrency
control.
Data Communication and Networks: ISO/OSI stack, transmission media, data encoding,
multiplexing, flow and error control, LAN technologies (Ethernet, token ring), network devices –
switches, gateways, routers, ICMP, application layer protocols – SMTP, POP3, HTTP, DNS, FTP,
Page 18
Telnet, network security – basic concepts of public key and private key cryptography, digital
signature, firewalls
Web technologies: Proxy, HTML, XML, basic concepts of cgi-bin programming.
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Re: Information Technology Syllabus

Postby pradeep1618 » Wed Sep 10, 2008 11:50 am

[quote="Administrator"]IT – INFORMATION TECHNOLOGY
ENGINEERING MATHEMATICS
Mathematical Logic: Propositional Logic; First Order Logic.
Probability: Conditional Probability; Mean, Median, Mode and Standard Deviation; Random
Variables; Distributions; uniform, normal, exponential, Poisson, Binomial.
Page 17
Set Theory & Algebra: Sets; Relations; Functions; Groups; Partial Orders; Lattice; Boolean
Algebra.
Combinatorics: Permutations; Combinations; Counting; Summation; generating functions;
recurrence relations; asymptotics.
Graph Theory: Connectivity; spanning trees; Cut vertices & edges; covering; matching;
independent sets; Colouring; Planarity; Isomorphism.
Linear Algebra: Algebra of matrices, determinants, systems of linear equations, Eigen values
and Eigen vectors.
Numerical Methods: LU decomposition for systems of linear equations; numerical solutions of
non-linear algebraic equations by Secant, Bisection and Newton-Raphson Methods; Numerical
integration by trapezoidal and Simpson’s rules.
Calculus: Limit, Continuity & differentiability, Mean value Theorems, Theorems of integral
calculus, evaluation of definite & improper integrals, Partial derivatives, Total derivatives, maxima
& minima.
FORMAL LANGUAGES AND AUTOMATA
Regular Languages: finite automata, regular expressions, regular grammar.
Context free languages: push down automata, context free grammars
COMPUTER HARDWARE
Digital Logic: Logic functions, minimization, design and synthesis of combinatorial and
sequential circuits, number representation and computer arithmetic (fixed and floating point)
Computer organization: Machine instructions and addressing modes, ALU and data path,
hardwired and microprogrammed control, memory interface, I/O interface (interrupt and DMA
mode), serial communication interface, instruction pipelining, cache, main and secondary storage
SOFTWARE SYSTEMS
Data structures and Algorithms: the notion of abstract data types, stack, queue, list, set, string,
tree, binary search tree, heap, graph, tree and graph traversals, connected components,
spanning trees, shortest paths, hashing, sorting, searching, design techniques (greedy, dynamic,
divide and conquer, Algorithm design by induction), asymptotic analysis (best, worst, average
cases) of time and space, upper and lower bounds, Basic concepts of complexity classes – P,
NP, NP-hard, NP-complete.
Programming Methodology: Scope, binding, parameter passing, recursion, C programming –
data types and declarations, assignment and control flow statements, 1-d and 2-d arrays,
functions, pointers, concepts of object-oriented programming - classes, objects, inheritance,
polymorphism, operator overloading.
Operating Systems (in the context of Unix): classical concepts (concurrency, synchronization,
deadlock), processes, threads and interprocess communication, CPU scheduling, memory
management, file systems, I/O systems, protection and security, shell programming.
Information Systems and Software Engineering: information gathering, requirement and
feasibility analysis, data flow diagrams, process specifications, input/output design, process life
cycle, planning and managing the project, design, coding, testing, implementation, maintenance.
Databases: E-R diagrams, relational model, database design, integrity constraints, normal forms,
query languages (SQL), file structures (sequential, indexed), b-trees, transaction and concurrency
control.
Data Communication and Networks: ISO/OSI stack, transmission media, data encoding,
multiplexing, flow and error control, LAN technologies (Ethernet, token ring), network devices –
switches, gateways, routers, ICMP, application layer protocols – SMTP, POP3, HTTP, DNS, FTP,
Page 18
Telnet, network security – basic concepts of public key and private key cryptography, digital
signature, firewalls
Web technologies: Proxy, HTML, XML, basic concepts of cgi-bin programming.[/quote]
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Re: Information Technology Syllabus

Postby sdkjh429 » Thu Apr 29, 2010 12:05 pm

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