Mscitsyllabus

8/11/2019 Mscitsyllabus

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M.Sc. IT syllabus

Admission criterion for MSc. Part I by papers:

For admission to MSc. IT, the following conditions will apply:

1. There will be 20 seats per batch. ll the admissions will be on merit !i.e., percentage

of aggregate mar"s sec#red for the $#alifying e%amination&. 'eser(ation criterion

sho#ld be followed as prescribed by go(ernment at the time of admission.

2. St#dents sec#ring minim#m )* percent mar"s at the three year +Sc degree in

Information Technology of M#mbai #ni(ersity or any recognied #n

for theory and *0 mar"s for practical-case st#dy-seminars.

a& For MSc part I all the papers will be comp#lsory.

b& MSc. art II will ha(e two s#b/ects comp#lsory and two electi(e s#b/ects

ach paper will ha(e minim#m ) Theory lect#res per wee" each lect#re is of 1 hr d#ration.

The lect#res sho#ld be organied in s#ch a way that each paper will ha(e minim#m 100 hrs

contact sessions for the year.

Standard of passing:

For MSc part I: To pass e%amination a candidate will ha(e to sec#re

1& Minim#m 20 mar"s in each theory paper and minim#m )0 mar"s in aggregate for allthe s#b/ects.

For MSc part II: To pass e%amination a candidate will ha(e to sec#re

1& Minim#m 20 mar"s in each theory paper and minim#m )0 mar"s in aggregate

incl#ding dissertation wor" on the pro/ect..

2& The s#bmission of dissertation wor" is comp#lsory and st#dent sho#ld appear for (i(a for

the same.

The candidate is allowed to "eep terms for ma%im#m of all the s#b/ects for the art I b#t can

ta"e admission art II. owe(er the res#lt of s#ch st#dent for part II e%amination will not be

declared till candidate s#ccessf#lly completes part I e%amination.

Award of class: s per the pre(ailing norms for other science s#b/ects.

M Sc IT First YearSubects !ect" Pract" Paper Pract Total

#ee$ #ee$ %ours Mar$s

I 3ear 4 I Term

1 5omp#ter Sim#lation and Modeling ) ) 6 100 *0 1*0

I 3ear 4 II Term

rogramming with 5omponents ) ) 6 100 *0 1*0

I 3ear 4 I Term

2 Mobile 5omp#ting ) ) 6 100 *0 1*0

I 3ear 4 II Term

d(anced 5omp#ter 7etwor"s ) ) 6 100 *0 1*0

I 3ear 4 I Term

6 Image rocessing ) ) 6 100 *0 1*0

I 3ear 4 II Term

Speech 'ecognition ) ) 6 100 *0 1*0

I 3ear 4 I Term

) 8ata 9areho#sing and Mining ) ) 6 100 *0 1*0

I 3ear 4 II Term

d(anced 8atabase Systems ) ) 6 100 *0 1*0

Total , I 3ear 4 I Term 1 1 ; )00 200 00

Total , I 3ear 4 II Term 1 1 ; )00 200 00

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M Sc IT Second YearSubects !ect" Pract" Paper Pract Total

#ee$ #ee$ %ours Mar$s

II 3ear 4 I Term

1 Software Testing ) ) 6 100 ;; 100

II 3ear 4 II Term

Information Sec#rity ) ) 6 100 ;; 100

II 3ear 4 I Term

2 rtificial Intelligence ) ) 6 100 ;; 100II 3ear 4 II Term

'obotics ) ) 6 100 ;; 100

II 3ear 4 I Term

6 lecti(e I

I Term ) ) 100 *0 1*0

II Term ) ) 100 *0 1*0

) lecti(e II

I Term ) ) 100 *0 1*0

II Term ) ) 100 *0 1*0

* ro/ect, I Term ; ; ; 100 100ro/ect, II Term ; ; ; 100 100

Total , II 3ear 4 I Term 1 1 ; )00 200 00

Total , II 3ear 4 II Term 1 1 ; )00 200 00

&lecti'e(I &lecti'e(II

1 arallel rocessing, !I Term& 1 attern 'ecognition, !I Term&

8istrib#ted 5omp#ting, !II Term& 5omp#ter =ision, !II Term&

2 Intelligent Systems, !I Term& 2 System Sec#rity, !I Term&

7e#ral 7etwor"s and F#y Systems !II

Term&

=irt#al 'eality and =irt#al

n(ironment

6 8igital Signal rocessing, !I Term& 6 M#ltimedia systems andcon(ergence of technologies

nterprise 7etwor"ing !II Term& >a(a Technology, !II Term&

M Sc Information Tec)nology Year I

M Sc Information Technology Year I, Paper I, Term I

SUBJECT: COMPUTE SIMU!"TIO# "#$ MO$E!I#%

!ectures: * %rs per wee$

Practical: * %rs per wee$

T)eory: +,, Mar$s

Term #or$ " Practical: -, Mar$s

becti'e: In the last fi(e decades digital comp#ter sim#lation has de(eloped frominfancy to a f#ll;fledged discipline. The field of modeling and sim#lation is as di(erse as of

man. The application of sim#lation contin#es to e%pand, both in terms of e%tent to which

sim#lation is #sed and the range of applications. This co#rse gi(es a comprehensi(e and

state of art treatment of all the important aspects of a sim#lation st#dy, incl#ding modeling,

sim#lation software, model (erification and (alidation, inp#t modeling.

DETAILED SYLLABUS1. Introduction to Simulation: System and System en(ironment, 5omponents of system,

Type of systems, Type of models, Steps in sim#lation st#dy, d(antages and

8isad(antages of sim#lation.

2. Simulation &/amples: Sim#lation of ?#e#eing systems, @ther e%amples of

sim#lation.

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6. 0eneral Principles: 5oncepts of discrete e(ent sim#lation, Aist processing,

). Simulation Software: istory of sim#lation software, 8esirable software feat#res,

Beneral;p#rpose sim#lation pac"ages, @b/ect oriented sim#lation, Trends in sim#lation

software.

*. Statistical Models in Simulation: Csef#l statistical model, 8iscrete distrib#tion,

5ontin#o#s distrib#tion, oisson process, mpirical distrib#tion.

. 1ueueing Models: 5haracteristics of ?#e#eing systems, ?#e#eing notations, Aong r#n

meas#res of performance of ?#e#eing systems, Steady state beha(ior of infinitepop#lation Mar"o(ian models, Steady state beha(ior finite pop#lation model, 7etwor"

of ?#e#es.

D. 2andom 3umber 0eneration: roperties of random n#mbers, Beneration of pse#do

random n#mbers, Techni$#es for generating random n#mbers, Tests for random

n#mbers.

E. 2andom 4ariate 0eneration: In(erse transform techni$#e, 5on(ol#tion method,

cceptance re/ection techni$#es

erry +an"s, >ohn 5arson, +arry 7elson, 8a(id 7icol, Discrete Event System

SimulationG

2. (erill Aaw, 9. 8a(id Helton, Simulation Modeling and Analysis,McB'9;IAA

2eferences:

1. Beffery Bordon, System Simulation, I

2. +ernard eigler, erbert raehofer, Tag Bon Him, Theory of Modeling and

SimulationG, cademic ress

6. 7arsing 8eo, System Simulation with Digital Computer, I

). 8onald 9. +ody, System Analysis and ModelingG, cademic ress arco#rt India*. 9 8a(id Helton, 'andall Sadows"i, 8eborah Sadows"i, Simulation with ArenaG,

McB'9;IAA.

TERM WORK

1. Term wor" sho#ld consist of at least 10 practical e%periments-ssignments co(ering

the topics of the syllab#s.

ORAL EXAMINATION

n oral e%amination is to be cond#cted based on the abo(e syllab#s.

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M Sc Information Technology Year I, Paper I, Term II

SUBJECT: PO%"MMI#% &IT' COMPO#E#TS



T)eory: +,, Mar$s

Term wor$" Practical: -, Mar$s

becti'es of t)e course:5@M addresses software design in a (ery pragmatic way.

Instead of pro(iding a sol#tion based on almost religio#s academic dogma of ob/ectoriented programming, 5@MJs design ta"es into acco#nt both h#man nat#re and

capitalism. 5@M is mostly widely #sed ob/ect model for de(eloping distrib#ted and

conc#rrent systems. im of this s#b/ect to st#dy and learn 5@M and #se 5@M to deploy

s#ch systems s#ccessf#lly.

Pre(re8uisites: 5KK, >a(a rogramming, @@8

DETAILED SYLLABUS1. Introduction to obect oriented systems:re(iew of @b/ect;orientation, 5oncept of

distrib#ted ob/ect systems, 'easons to distrib#te for centralied ob/ects. Mapping

ob/ects to locations. @b/ect oriented system architect#re, client;ser(er system

architect#re, m#lti tier system architect#res. 8esign of ob/ect oriented system

architect#re and component technology compo#nd doc#ment.2. Introduction to distributed obects:5omp#ting standards, @MB, @(er(iew of

5@'+, @(er(iew of 5@M-85@M and of an open doc, @(er(iew of @b/ect 9eb,

@(er(iew of /a(a, nterprise /a(a beans.

6. 5omponent bect Model 95M introduction:5om as better 5KK software

distrib#tion, 8ynamic lin"ing, Separating interface and 5@M implementation, '#n

time polymorphism, Introd#ction to 85@M.

). Interface in 5M(65M:Introd#ction to interfaces, Interface definition lang#age

!I8A&, Interface and I8A, Csing 5@M interface pointers, @ptimiing $#ery interface,

5ode sharing and re#se.

*. 5lasses and bects in 5M(65M:Introd#ction, 5lasses and ser(ers,

@ptimiations, 5lasses and I8A, 5lass em#lation, ?#ery interface types and properties,@b/ect ser(ices and dynamic composition.

. Apartments:5ross;apartments access, lifecycle management.

D. 527A:Introd#ction and concepts, distrib#ted ob/ects in 5@'+, 5@'+

components, architect#ral feat#res, method in(ocations static and dynamic: I8A

!Interface 8efinition Aang#age& models and interfaces. Str#ct#re of 5@'+ I8A,

5@'+Js self;describing dataL 5@'+ interface repository.

E. 527A Ser'ices:Ser(ices for ob/ect naming, @b/ect lifecycle, (ent, Transaction

ser(ice feat#res, conc#rrency control ser(ices, persistent ob/ect ser(ice and 5@'+

sec#rity ser(ice.

;. &nterprise ason ritchard, CM and C!"A side #y sideG, earson d#cation.

2eferences:

1. Tom =ales"y, Enterprise $ava "eansG, earson d#cation

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TERM WORK

1. Term wor" sho#ld consist of at least 10 practical e%periments co(ering the topics of the

syllab#s #sing 5@M- >+ Technologies

ORAL EXAMINATION


M Sc Information Technology Year I, Paper II, Term I

SUBJECT: MOBI!E COMPUTI#%



T)eory: +,, Mar$s

Term wor$ " Practical: -, Mar$s

becti'e:'ecent de(elopments in portable de(ices and high;bandwidth, #bi$#ito#s

wireless networ"s has made mobile comp#ting a reality. Indeed, it is widely predicted that

within the ne%t few yearsJ access to Internet ser(ices will be primarily from wireless

de(ices, with des"top browsing the e%ception. S#ch predictions are based on the h#ge

growth in the wireless phone mar"et and the s#ccess of wireless data ser(ices. This co#rse

will help in #nderstanding f#ndamental concepts, c#rrent de(elopments in mobile

comm#nication systems and wireless comp#ter networ"s.

Pre(re8uisites:5omp#ter 7etwor"s.DETAILED SYLLABUS1. Introduction: pplications, short history of wireless comm#nication

2. #ireless Transmission: Fre$#ency for radio transmission, Signals, ntennas, Signal

propagation, M#ltiple%ing, Mod#lation, Spread spectr#m, 5ell#lar systems.

6. Medium Access 5ontrol:Moti(ation for a specialied M5: idden and %posed

terminals. 7ear and Far terminalsL S8M, F8M, T8M: Fi%ed T8M, 5lassical

loha, Slotted loha, 5arrier sense m#ltiple access, 8emand assigned m#ltiple access,

'M pac"et reser(ation m#ltiple access, 'eser(ation T8M, M#ltiple access with

collision a(oidance, olling, Inhibit sense m#ltiple accessL 58M: Spread loha

m#ltiple access.

). Telecommunication Systems: BSM: Mobile ser(ices, System architect#re, 'adiointerface, rotocols, Aocaliation nd 5alling, ando(er, Sec#rity, 7ew data ser(icesL

85T: System architect#re, rotocol architect#reL TT', CMTS and IMT;2000:

CMTS +asic architect#re, CT' F88 mode, CT' T88 mode

*. Satellite Systems: istory, pplications, +asics: B@, A@, M@L 'o#ting,

Aocaliation, ando(er, %amples

. 7roadcast Systems: @(er(iew, 5yclic repetition of data, 8igital a#dio

broadcasting: M#ltimedia ob/ect transfer protocolL 8igital (ideo broadcasting

D. #ireless !A3: Infrared (s. 'adio transmission, Infrastr#ct#re and d hoc 7etwor"s,

I E02.11: System architect#re, rotocol architect#re, hysical layer, Medi#m access

control layer, M5 management, F#t#re de(elopmentL I'A7: rotocol

architect#re, hysical layer, 5hannel access control. S#blayer, Medi#m access controlS#blayer, Information bases nd 7etwor"ingL +l#etooth: Cser scenarios, hysical layer,

M5 layer, 7etwor"ing. Sec#rity, Ain" management.

E. #ireless ATM: Moti(ation for 9TM, 9ireless TM wor"ing gro#p, 9TM ser(ices,

'eference model: %ample config#rations, Beneric reference modelL F#nctions:

9ireless mobile terminal side, Mobility s#pporting networ" sideL 'adio access layer:

'e$#irements, +'7L ando(er: ando(er reference model, ando(er re$#irements,

Types of hando(er, ando(er scenarios, +ac"ward hando(er, Forward hando(erL

Aocation management: 'e$#irements for location management, roced#res and ntitiesL

ddressing, Mobile $#ality of ser(ice, ccess point control protocol


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T#nneling and ncaps#lation , @ptimiations, 'e(erse t#nneling, Ip(L 8ynamic host

config#ration protocol, d hoc networ"s: 'o#ting, 8estination se$#ence distance (ector,

8ynamic so#rce ro#ting, ierarchical algorithms, lternati(e metrics

10. Mobile Transport !ayer: Traditional T5: 5ongestion control, Slow start, Fast

retransmit-fast reco(ery, Implications on mobilityL Indirect T5, Snooping T5, Mobile

T5, Fast retransmit-fast reco(ery, Transmission-time;o#t freeing, Selecti(e

retransmission, Transaction oriented T5

11. Support for Mobility: File systems: 5onsistency, %amplesL 9orld 9ide 9eb:yperte%t transfer protocol, yperte%t mar"#p lang#age, Some approaches that might

help wireless access, System architect#resL 9ireless application protocol: rchitect#re,

9ireless datagram protocol, 9ireless transport layer sec#rity, 9ireless transaction

protocol, 9ireless session protocol, 9ireless application en(ironment, 9ireless mar"#p

lang#age, 9MA script, 9ireless telephony application, %amples Stac"s with 9ap,

Mobile databases, Mobile agents

BOOKS

Te/t 7oo$s:

1. >ochen Schiller, Mo#ile communications, ddison wisely , earson d#cation

2. 9iiliam Stallings, %ireless Communications and &etwor'sG

2eferences :

1. 'appaort, %ireless Communicationsrincipals and (racticesG

2. 3I +ing Ain , %ireless and Mo#ile &etwor' ArchitecturesG, >ohn 9iley

6. . 7icopolitidis , %ireless &etwor'sG, >ohn 9iley

). H ahla(an, . Hrishnam#rthy , (rinciples of %ireless &etwor'sG

*. M. 'ichharia , Mo#ile Satellite Communication) (rinciples and TrendsG, earson

d#cation

TERM WORK2. Term wor" sho#ld consist of at least 10 practical e%periments and two assignments

co(ering the topics of the syllab#s.

ORAL EXAMINATIONn oral e%amination is to be cond#cted based on the abo(e syllab#s.

M Sc Information Technology Year I, Paper II, Term II

SUBJECT: "$("#CE$ COMPUTE #ET&O)S



T)eory: +,, Mar$s


becti'es:In first part, d(anced technologies li"e igh speed 8e(ices etc. are to be

considered. Second part 7etwor" programming is to be st#died. 7ot /#st S@5HTS b#t

also protocols, 8ri(ers, Sim#lation rogramming. In third part we sho#ld st#dy 7etwor"8esign, rotocols designs and analysis considering deterministic and non;deterministic

approach. 9e e%pect nat#ral thin"ing from st#dent. For e%ample he sho#ld able to consider

different constraints and ass#me s#itable data and sol(e theproblems.

Pre(re8uisites: 5omp#ter networ"s

DETAILED SYLLABUS1. 6ata 5ommunications:+#siness 8ri(ers and 7etwor"ing 8irections : 8ata

comm#nication ast and f#t#re.

2. =nderstanding t)e standards and t)eir ma$er:5reating standards: players and

rocess, 5#rrent for#ms, Standard protocols, Aayered reference models: The @SI'M,

Standard comp#ter architect#res.

6. Introduction to Transmission Tec)nologies:ardware selection in the design

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process.

). ptical 3etwor$ing: S@7T-S8 standards, 8ense wa(elength di(ision

m#ltiple%ing !898M&, erformance and 8esign considerations.

*. P)ysical !ayer Protocols and Access Tec)nologies:hysical Aayer rotocols and

Interfaces, ccessing the 7etwor", 5opper access technologies, 5able ccess

Technologies, Fiber ccess Technologies, ir ccess Technologies.

. 5ommon Protocols and Interfaces in t)e !A3 en'ironment:8ata lin" layers

protocols, AA5 and M5 s#b layer protocol, thernet, To"en 'ing, To"en +#s andF88I, +ridge protocols, Switching in the A7 en(ironment.

D. Frame 2elay:F' specification and design, =oF': erformance and 8esign

considerations, d(antages and disad(antages of F'.

E. 5ommon #A3 Protocol:TM: Many faces of TM, TM protocol operation !TM

cell and Transmission&, TM networ"ing basics, Theory of operations, +;IS87

protocol reference model, 3 layer, TM layer !rotocol model&, TM layer and cell

!8efinition&, Traffic descriptors and parameters, Traffic and 5ongestion control

defined, A rotocol model, Traffic contract and ?oS, Cser plane o(er(iew, 5ontrol

plane A, Management plane, S#b;8S6 TM, TM p#blic ser(ices.

ames 8. Mc5abe , ractical 5omp#ter nalysis and 8esignG, arco#rt sia.

TEM &O)

6. Term wor" sho#ld consist of at least 10 practical e%periments and two assignments

co(ering all the topics of the syllab#s.

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2A! &>AMI3ATI3


M Sc Information Technology Year I, Paper III, Term I

SUBJECT: IM"%E POCESSI#%


Practical: ? %rs per wee$

T)eory: +,, Mar$s

Term #or$ " Practical: ?- Mar$s

becti'e: 8igital Image rocessing is a rapidly e(ol(ing field with growing applications

in science and engineering. Image processing holds the possibility of de(eloping the

#ltimate machine that co#ld perform the (is#al f#nctions of all li(ing beings. There is an

ab#ndance of image processing applications that can ser(e man"ind with the a(ailable and

anticipated technology in the near f#t#re.

DETAILED SYLLABUS1. Introduction to 5omputer 0rap)ics:Beometry and line generation, Braphics

primiti(es, Transformations

2. 6igital Image Processing Systems: Introd#ction, Str#ct#re of h#man eye, Imageformation in the h#man eye, +rightness adaptation and discrimination, Image sensing

and ac$#isition, Storage, rocessing, 5omm#nication, 8isplay. Image sampling and

$#antiation, +asic relationships between pi%els

6. Image Transforms 9Implementation: Introd#ction to Fo#rier transform, 8FT and 2;

8 8FT, roperties of 2;8 8FT, FFT, IFFT, 9alsh transform, adamard transform,

8iscrete cosine transform, Slant transform, @ptim#m transform: Harh#nen ; Aoe(e

!otelling& transform.

). Image &n)ancement in t)e Spatial 6omain: Bray le(el transformations, istogram

processing, rithmetic and logic operations, Spatial filtering: Introd#ction, Smoothing

and sharpening filters

*. Image &n)ancement in t)e Fre8uency 6omain: Fre$#ency domain filters:Smoothing and Sharpening filters, omomorphic filtering

. #a'elets and Multiresolution Processing: Image pyramids, S#bband coding, aar

transform, Series e%pansion, Scaling f#nctions, 9a(elet f#nctions, 8iscrete wa(elet

transforms in one dimensions, Fast wa(elet transform, 9a(elet transforms in two

dimensions

D. Image 6ata 5ompression: F#ndamentals, 'ed#ndancies: 5oding, Interpi%el, sycho;

(is#al, Fidelity criteria, Image compression models, rror free compression, Aossy

compression, Image compression standards: +inary image and 5ontin#o#s tone still

image compression standards, =ideo compression standards.

E. Morp)ological Image Processing:Introd#ction, 8ilation, rosion, @pening, 5losing,

it;or;Miss transformation, Morphological algorithm operations on binary images,

Morphological algorithm operations on gray;scale images


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BOO)S

Te/t 7oo$s:

1. '.5.Bonsales '..9oods@ Digital mage (rocessingG,Second dition,earson

d#cation

2. nil H. >ain, -undamentals of mage (rocessingG, I

2eferences:

1. 9illiam ratt, Digital mage (rocessingG, >ohn 9iley

2. S. arrrington, 5omp#ter BraphicsG, McBraw ill6. Milan Son"a,=acla( la(ac, 'oger +oyle, mage (rocessing, Analysis, and

Machine .isionG Thomson Aearning

6. 7 hmed N H.'. 'ao, rthogonal Transforms for Digital Signal (rocessingG

Springer

*. +. 5handa, 8. 8#tta Ma/#mder, Digital mage (rocessing and AnalysisG, I

TERM WORK). Term wor" sho#ld consist of at least 10 practical e%periments and two assignments


ORAL EXAMINATION


M Sc Information Technology Year I, Paper III, Term II

SUBJECT: SPEEC' ECO%#ITIO#



T)eory: +,, Mar$s

Term wor$ " Practical: ?- Mar$s

becti'es:8e(elop an #nderstanding of the relationship of (ocal tract shapes and

physical aco#stics to the aco#stic speech signal. Cse a spectr#m analyer to relate the

aco#stic speech signal to aco#stical processes. 8esign and implement digital filters to

synthesie speech and code speech at a low bit rate. Implement speech analysis and speechsynthesis mod#les #sing ob/ect;oriented software programs, #sing techni$#es s#ch as class

deri(ation, the #se of software ob/ects as components in a larger software system.

$ET"I!E$ SY!!"BUS

1. Fundamentals f Speec) 2ecognition:Introd#ction, The paradigm for speech

'ecognition, o#t line, +rief history of speech recognition research.

2. T)e Speec) Signal:rod#ction, reception, and co#stic;phonetic characteriation:

The speech prod#ction system, 'epresenting speech in time and fre$#ency domains,

Speech So#nds and feat#res, pproaches to a#tomatic speech recognition by machine.

6. Signal Processing And Analysis Met)ods For Speec) 2ecognition:The ban";of;

filters front;end processor. Ainear predicti(e model for speech recognition, =ector

$#antiation, #ditory based Spectral analysis model.). Pattern 5omparison Tec)ni8ues:Speech detection, 8istortion Meas#res;

Mathematical 5onsiderations, 8istortion Meas#res;ercept#al 5onsiderations,

Spectral;8istortion Meas#res, Incorporation of spectral dynamic feat#res into distortion

meas#res, Time lignment and 7ormaliation.

*. Speec) 2ecognition System 6esign And Implementation Issues:pplication of

so#rce coding techni$#es to recognition, Template training methods, erformance

analysis and recognition enhancements, Template adoption to new tal"ers,

8iscriminati(e methods in speech recognition, Speech recognition in ad(erse

en(ironment.

. T)eory And Implementation f %idden Mar$o' Models:8iscrete time Mar"o(

processes, %tensions to hidden Mar"o( Models, The three basic problems for MMs,

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deployment, growth and maintenance.

6ata Mining:

+. Introduction:+asics of data mining, related concepts, 8ata mining techni$#es.

?. 6ata Mining Algorit)ms:5lassification, 5l#stering, ssociation r#les.

C. Enowledge 6isco'ery :H88 rocess

*. #eb Mining:9eb 5ontent Mining, 9eb Str#ct#re Mining, 9eb Csage mining.

-. Ad'anced Topics:Spatial mining, Temporal mining.

D. 4isualisation :8ata generaliation and s#mmariation;based characteriation,nalytical characteriation: analysis of attrib#te rele(ance, Mining class

comparisons: 8iscriminating between different classes, Mining descripti(e

statistical meas#res in large databases

. 6ata Mining Primiti'es@ !anguages@ and System Arc)itectures:8ata mining

primiti(es, ?#ery lang#age, 8esigning BCI based on a data mining $#ery

lang#age, rchitect#res of data mining systems

B. Application and Trends in 6ata Mining: pplications, Systems prod#cts and

research prototypes, dditional themes in data mining, Trends in data mining

BOO)S

Te/t 7oo$s:

1. a#lra/ onnian, Data %arehousing -undamentalsG, >ohn 9iley.

2. M.. 8#nham, Data Mining ntroductory and Advanced TopicsG, earson d#cation.

6. an, Hamber, Data Mining Concepts and Techni0uesG, Morgan Ha#fmann

2eferences:

1. 'alph Himball, The Data %arehouse /ifecycle tool'itG, >ohn 9iley.

2. M +erry and B. Ainoff, Mastering Data MiningG, >ohn 9iley.

6. 9.. Inmon, "uilding the Data %arehousesG, 9iley 8reamtech.

). '. Himpall, The Data %arehouse Tool'itG, >ohn 9iley.

*. .B. Mallach, Decision Support and Data %arehouse systemsG, TM.

TEM &O)

. Term wor" sho#ld consist of at least 10 practical e%periments and two assignmentsco(ering the topics of the syllab#s.

O"! E*"MI#"TIO#


M Sc Information Technology Year I, Paper I(, Term II

SUBJECT: "$("#CE$ $"T"B"SE SYSTEMS



T)eory: +,, Mar$s

Term wor$" Practical: -, Mar$s

becti'es:To st#dy the f#rther database techni$#es beyond which co(ered in the secondyear, and th#s to ac$#aint the st#dents with some relati(ely ad(anced iss#es. t the end of

the co#rse st#dents sho#ld be able to: gain an awareness of the basic iss#es in ob/ected

oriented data models, learn abo#t the 9eb;8+MS integration technology and MA for

Internet database applications, familiarie with the data;wareho#sing and data;mining

techni$#es and other ad(anced topics, apply the "nowledge ac$#ired to sol(e simple

problems

Pre(re8uisites: 8atabase Systems, @@8.

$ET"I!E$ SY!!"BUS

1. T)e &/tended &ntity 2elations)ip Model and bect Model:The ' model

age 11 of 2


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re(isited, Moti(ation for comple% data types, Cser defined abstract data types and

str#ct#red types, S#bclasses, S#per classes, Inheritance, Specialiation and

Beneraliation, 5onstraints and characteristics of specialiation and Beneraliation,

'elationship types of degree higher than two.

2. bect(riented 6atabases:@(er(iew of @b/ect;@riented concepts, @b/ect identity,

@b/ect str#ct#re, and type constr#ctors, ncaps#lation of operations, Methods, and

ersistence, Type hierarchies and Inheritance, Type e%tents and $#eries, 5omple%

ob/ectsL 8atabase schema design for @@8+MSL @?A, ersistent programminglang#agesL @@8+MS architect#re and storage iss#esL Transactions and 5onc#rrency

control, %ample of @8+MS

6. bect 2elational and &/tended 2elational 6atabases:8atabase design for an

@'8+MS ; 7ested relations and collectionsL Storage and access methods, ?#ery

processing and @ptimiationL n o(er(iew of S?A6, Implementation iss#es for

e%tended typeL Systems comparison of '8+MS, @@8+MS, @'8+MS

). Parallel and 6istributed 6atabases and 5lient(Ser'er Arc)itecture:rchitect#res

for parallel databases, arallel $#ery e(al#ationL aralleliing indi(id#al operations,

Sorting, >oinsL 8istrib#ted database concepts, 8ata fragmentation, 'eplication, and

allocation techni$#es for distrib#ted database designL ?#ery processing in distrib#ted

databasesL 5onc#rrency control and 'eco(ery in distrib#ted databases. n o(er(iew of

5lient;Ser(er architect#re

*. 6atabases on t)e #eb and Semi Structured 6ata:9eb interfaces to the 9eb,

@(er(iew of MAL Str#ct#re of MA data, 8oc#ment schema, ?#erying MA dataL

Storage of MA data, MA applicationsL The semi str#ct#red data model,

Implementation iss#es, Inde%es for te%t data

. &n)anced 6ata Models for Ad'anced Applications:cti(e database concepts.

Temporal database concepts.L Spatial databases, 5oncepts and architect#reL 8ed#cti(e

databases and ?#ery processingL Mobile databases, Beographic information systems.

BOOKS

Te/t 7oo$s:1. lmasri and 7a(athe, -undamentals of Data#ase SystemsG, earson d#cation

2. 'agh# 'ama"rishnan, >ohannes Behr"e, Data#ase Management SystemsG, McBraw;

ill

2eferences:

1. Horth, Silberchat, S#darshan , Data#ase System ConceptsG, McBraw;ill.

2. eter 'ob and 5oronel, Data#ase Systems, Design, mplementation and

ManagementG, Thomson Aearning.

6. 5.>.8ate, Aongman, ntroduction To Data#ase SystemsG, earson d#cation

TERM WORK

D. Term wor" sho#ld consist of at least 10 practical e%periments and two assignments

co(ering the topics of the syllab#s.ORAL EXAMINATION


age 12 of 2


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M Sc Information Tec)nology Year IIM Sc Information Technology Year II, Paper I, Term I

SUBJECT: SO+T&"E TESTI#%

!ectures: * %rs per wee$ T)eory: +,, Mar$s

becti'es To impro(e yo#r #nderstanding of software testing ; its p#rpose and nat#re ;

and raise yo#r awareness of iss#es and constraints aro#nd testing. To pro(ide a professional

$#alification widely recognied by employers, c#stomers and peers. To learn standardterminology. 8isco(er good so#rces of information. To pro(ide a complete pict#re of the

test acti(ities and processes from re$#irements re(iew to system implementation.

Pre(re8uisites:Software ngineering, @@8

DETAILED SYLLABUS

1. Introduction: 8efect, 8efect =s fail#res, rocess problems and defect rates, The

b#siness perspecti(e for testing

2. 7uilding a Software Testing Strategy:5omp#ter system strategic ris", conomics of

testing, 5ommon comp#ter problems, conomics of S8A5 testing, Testing; an

organiational iss#e, stablishing a testing policy, Str#ct#red approach to testing, Test

strategy, Testing methodology

6. &stablis)ing a Software Testing Met)odology: Introd#ction, =erification and(alidation, F#nctional and str#ct#ral testing, 9or"bench concept, 5onsiderations in

de(eloping testing methodologies

). 6etermining Software Testing Tec)ni8ues:Testing techni$#es-tool selection process,

Selecting techni$#es-tools, Str#ct#ral system testing techni$#es, F#nctional system

testing techni$#es, Cnit testing techni$#es, F#nctional testing and analysis

*. Selecting and Installing Software Testing Tools:Testing tools;ammers of testing,

Selecting and #sing the test tools, ppointing managers for testing tools

. Software Testing Process: 5ost of comp#ter testing, Aife cycle testing concept,

=erification and (alidation in the software de(elopment process, Software testing

process, 9or"bench s"ills

D. Software Testing Process:ccess ro/ect Management 8e(elopment stimate andStat#s, Test lan, 'e$#irements hase Testing, 8esign hase Testing, rogram hase

Testing, %ec#te Test and 'ecord 'es#lts, cceptance Test, 'eport Test 'es#lt, Testing

Software Installation, Test Software 5hange, (al#ate Test ffecti(eness

E. Testing SpecialiGed Systems and Applications:5lient-Ser(er systems, '8, System

doc#mentation, 9eb based systems, @ff;the;self software, M#lti platform en(ironment,

Sec#rity, 8ata 9areho#se


14/29

p#ts yo# at a ris" and how to control it. 5ontrolling a ris" is not eliminating the ris" b#t to

bring it to a tolerable le(el.

Pre(re8uisites:5omp#ter 7etwor"s, @perating system.

DETAILED SYLLABUS

1. Introduction: Sec#rity, ttac"s, 5omp#ter criminals, Method of defense

2. Program Security:Sec#re programs, 7on;malicio#s program errors, =ir#ses and

other malicio#s code, Targeted malicio#s code, 5ontrols against program threats

6. perating System Security: rotected ob/ects and methods of protection, Memoryaddress protection, 5ontrol of access to general ob/ects, File protection mechanism,

#thentication: #thentication basics, assword, 5hallenge;response, +iometrics.

). 6atabase Security:Sec#rity re$#irements, 'eliability and integrity, Sensiti(e data,

Interface, M#ltile(el database, roposals for m#ltile(el sec#rity

*. Security in 3etwor$s: Threats in networ"s, 7etwor" sec#rity control, Firewalls,

Intr#sion detection systems, Sec#re e;mail, 7etwor"s and cryptography, %ample

protocols: M, SSA, Isec

. Administrating Security: Sec#rity planning, 'is" analysis, @rganiational sec#rity

policies, hysical sec#rity.

D. !egal@ Pri'acy@ and &t)ical Issues in 5omputer Security: Protecting programs and

data, Information and law, 'ights of employees and employers, Software fail#res,

5omp#ter crime, ri(acy, thical iss#es in comp#ter society, 5ase st#dies of ethics

7oo$s

Te/t 7oo$s:

1. 5. . fleeger, and S. A. fleeger, Security in ComputingG, earson d#cation.

2. Matt +ishop, Computer Security) Art and ScienceG, earson d#cation.

2eferences :

1. Stallings@ Cryptography And &etwor' Security) (rinciples and practiceG

2. Ha#fman, erlman, Speciner, &etwor' SecurityG

6. ric Maiwald, &etwor' Security ) A "eginner1s 2uideG, TM

). Macro istoia, $ava &etwor' Security , earson d#cation*. 9hitman, Mattord, (rinciples of information security, Thomson

"ignment: -. aignment co/ering the ylla01 ha to 0e 10mitte2

M Sc Information Technology Year II, Paper II, Term I

SUBJECT: "rtificial Intelligence


+ AI and Internal 2epresentation

rtificial Intelligence and the 9orld, 'epresentation in I, roperties of Internal

'epresentation, The redicate 5alc#l#s, redicates and rg#ments, 5onnecti(es =ariables

and ?#antification, ow to Cse the redicate 5alc#l#s, @ther Hinds of Inference Inde%ing,ointers and lternati(e 7otations, Inde%ing, The Isa ierarchy, Slot;ssertion 7otation,

Frame 7otation

? !isps

Aisps, Typing at Aisp, 8efining rograms, +asic Flow of 5ontrol in Aisp, Aisp Style, toms

and Aists, +asic 8eb#gging, +#ilding Cp Aist Str#ct#re, More on redicates, roperties,

ointers, 5ell 7otation and the Internals !lmost& of Aisp, 8estr#cti(e Modification of Aists,

The for F#nction ,'ec#rsion, Scope of =ariables, Inp#t-@#tp#t, Macros

C. 3eural 3etwor$s and FuGGy systems

7e#ral and f#y machine Intelligence, F#iness as M#lti(alence, The 8ynamical Systems

approach to Machine Intelligence, The brain as a dynamical system, 7e#ral and f#ysystems as f#nction stimators, 7e#ral 7etwor"s as trainable 8ynamical system, F#y

age 1) of 2


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systems and applications, Intelligent +eha(ior as dapti(e Model free stimation,

Beneraliation and creati(ity, Aearning as change, Symbol (s 7#mbers, '#les (s rinciples,

%pert system Hnowledge as r#le trees, Symbolic (s 7#meric rocessing, F#y systems as

Str#ct#red 7#merical estimators, Benerating F#y r#les with prod#ct space 5l#stering,

F#y Systems as arallel associators, F#y systems as rinciple based Systems

+. 3eural 3etwor$ T)eory

7e#ronal 8ynamics: cti(ations and signals@7e#rons as f#nctions, signal monotonicity,

+iological cti(ations and signals, 7e#ron Fields, 7e#ron 8ynamical Systems, 5ommonsignal f#nctions, #lse;5oded Signal f#nctions

?. 0enetic Algorit)ms

simple genetic algorithm, sim#lation by hands, similarity templates!Schemata&,

Mathematical fo#ndations, Schema rocessing at wor", The two; armed and ";armed +andit

roblem, The b#ilding bloc" hypothesis, The minimal 8ecepti(e roblem

5omp#ter implementation of Benetic algorithm, 8ata Str#ct#res, 'eprod#ction , 5ross o(er

and M#tation, Time to reprod#ce and time to 5ross Mapping ob/ecti(e f#nction to fitness

form, Fitness scaling

pplications of genetic algorithm, 8e >ong and F#nction @ptimiation, Impro(ement in basic

techni$#es, Introd#ction to Benetics based machine learning, applications of genetic basedmachine leaning

C. 6ata Mining

Introd#ction to 8ata Mining, 5omp#ter systems that can learn, Machine learning and

methodology of science, 5oncept learning, 8ata ware ho#se, designing decision s#pport

systems, 5lient ser(er and data wareho#sing, Hnowledge 8isco(ery rocess, =is#aliation

Techni$#es, H; nearest neighbor, 8ecision trees, @A tools, 7e#ral networ"s, Benetic

algorithm, Setting #p a H88 en(ironment, 'eal life applications, 5#stomer profiling,

8isco(ering foreign "ey relationships

Assignments

10 assignments co(ering the syllab#s has to be s#bmitted

Te3t 0oo4

1. Introd#ction to rtificial Intelligence +y #gene 5harnia", 8rew Mc8ermott;

ddison 9esley

2. 7e#ral 7etwor"s and f#y systems dynamical systems approach to machine

Intelligence by +art Hos"o; I

6. Benetic lgorithms in search, @ptimiation N Machine Aearning by 8a(id

Boldberg;ddison wesley

). 8ata Mining by ieter driaans and 8olf antinge 4 earson d#cation sia

*. 8ata 9areho#sing in the 'eal 9orld by Sam nahory and 8ennis M#rray, ddison

;9esleyM Sc Information Technology Year II, Paper II, Term II

SUBJECT: OBOTICS


becti'e:The goal of the co#rse is to familiarie the st#dents with the concepts and

techni$#es in robot manip#lator control, eno#gh to e(al#ate, chose, and incorporate robots

in engineering systems.

Pre(re8uisite:%pos#re to linear algebra and matri% operations. %pos#re to

programming in a high le(el lang#age

$ET"I!E$ SY!!"BUS+. 2obotic Manipulation: #tomation and 'obots, 5lassification, pplication,

age 1* of 2


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Specification, 7otations.

?. 6irect Einematics: 8ot and cross prod#cts, 5o;ordinate frames, 'otations,

omogeneo#s, 5o;ordinates, Ain" co;ordination arm e$#ation, !Fi(e;a%is robot, Fo#r

a%is robot, Si% a%is robot&.

C. In'erse Einematics: Beneral properties of sol#tions tool config#ration Fi(e a%is

robots, Three;Fo#r a%is, Si% a%is robot !In(erse "inematics&.

*. 9or"space analysis and tra/ectory planning wor" en(elop and e%amples, wor"space

fi%t#res, ic" and place operations, 5ontin#o#s path motion, Interpolated motion,Straight;line motion.

-. 2obot 4ision: Image representation, Template matching, olyhedral ob/ects, Shane

analysis, Segmentation !Thresholding, region labeling, Shrin" operators, Swell

operators, #ler n#mbers, erspecti(e transformation, Str#ct#red Ill#mination, 5amera

calibration&.

D. Tas$ Planning: Tas" le(el programming, Cncertainty, 5onfig#ration, Space, Bross

motion, lanning, Brasp planning, Fine;motion lanning, Sim#lation of laner motion,

So#rce and goal scenes, Tas" planner sim#lation.

. Moments of Inertia.

B. rinciples of 75 and 575 Machines.

BOO)S

Te/t 7oo$s:

1. 'obert Shilling, -undamentals of !o#otics3Analysis and control,I.

2. F#, Bonales and Aee, !o#otics, McBraw ill

6. >.>, 5raig, ntroduction to !o#otics, earson d#cation

2eferences:

1. Sta#ghard, !o#otics and A,I.

2. Bro(er, 9iess, 7agel, @derey, Ind#strial 'oboticsG, McBraw ill

6. 9alfram Stdder, !o#otics and Mecatronics, TM.

). 7i"#, ntroduction to !o#oticsG, earson d#cation

*. Hlafter, 5hmielews"i, 7egin, !o#ot EngineeringG, I. Mittal, 7agrath, !o#otics and ControlG, TM

Assignments: 10 assignments o!e"ing t#e s$%%a&'s #as to &e s'&mitte(

M S ) In*o"mation Te#no%og$ Yea" II+ E%eti!e I+ Te"m I

SUBJECT: P""!!E! POCESSI#%



T)eory: +,, Mar$s

Term #or$ " Practical: -, Mar$s

becti'e: Cpon completion of this co#rse st#dents will be able to #nderstand and employthe f#ndamental concepts and mechanisms which form the basis of the design of parallel

comp#tation models and algorithms, recognie problems and limitations to parallel

systems, as well as possible sol#tions

Pre(re8uisite:5omp#ter architect#re, 8ata str#ct#res

$ET"I!E$ SY!!"BUS

1. Introduction:arallel rocessing rchitect#res: arallelism in se$#ential machines,

bstract model of parallel comp#ter, M#ltiprocessor architect#re, ipelining, rray

processors.

2. Programmability Issues: n o(er(iew, @perating system s#pport, Types of operating

systems, arallel programming models, Software tools

6. 6ata 6ependency Analysis: Types of dependencies loop and array dependences, Aoop

age 1 of 2


17/29

dependence analysis, Sol(ing diophantine e$#ations, rogram transformations

). S)ared Memory Programming: Beneral model of shared memory programming,

rocess model #nder C7I

*. Algorit)ms for Parallel Mac)ines: Speed#p, 5omple%ity and cost, istogram

comp#tation, arallel red#ction, ?#adrat#re problem, Matri% m#ltiplication, arallel

sorting algorithms, Sol(ing linear systems, robabilistic algorithms

. Message Passing Programming: Introd#ction, Model, Interface, 5irc#it satisfiability,

Introd#cing collecti(e, +enchmar"ing parallel performanceD. Parallel Programming languages: Fortran.. Singh, . B#pta, (arallel Computer ArchitectureG, Morgan Ha#fman

TEM &O)E. Term wor" sho#ld consist of at least 10 practical e%periments and two assignments


O"! E*"MI#"TIO#


M Sc Information Technology Year II, Electi/e I, Term II

SUB,E-T: DISTRIBUTED -OM.UTIN/



T)eory: +,, Mar$s


becti'e: This co#rse aims to b#ild concepts regarding the f#ndamental principles of

distrib#ted systems. The design iss#es and distrib#ted operating system concepts are

co(ered.

Pre(re8uisites: @perating Systems and 5omp#ter 7etwor"s

DETAILED SYLLABUS1. Introduction to 6istributed System: Boals, ardware concepts, Software concepts,

and 5lient;Ser(er model. %amples of distrib#ted systems.

2. 5ommunication: Aayered protocols, 'emote proced#res call, 'emote ob/ect

in(ocation, Message;oriented comm#nication, Stream;oriented comm#nication.

6. Processes: Threads, 5lients, Ser(ers, 5ode Migration, Software agent.

). 3aming:7aming entities, Aocating mobile entities, 'emo(ing #n;referenced entities.

age 1D of 2


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*. Sync)roniGation: 5loc" synchroniation, Aogical cloc"s, Blobal state, lection

algorithms, M#t#al e%cl#sion, 8istrib#ted transactions.

. 5onsistency and 2eplication: Introd#ction, 8ata centric consistency models, 5lient

centric consistency models, 8istrib#tion protocols, 5onsistency protocols.

D. Fault Tolerance: Introd#ction, rocess resilience, 'eliable client ser(er

comm#nication, 'eliable gro#p comm#nication. 8istrib#ted commit, 'eco(ery.

E. Security: Introd#ction, Sec#re channels, ccess control, Sec#rity management.


19/29

learning, learning decision trees, Aearning in ne#ral and belief networ"s: Introd#ction

to ne#ral networ"s, erceptrons, M#ltilayer feed;forward networ", pplication of

77, 'einforcement learning: assi(e learning in a "nown en(ironment,

Beneraliation in reinforcement learning, Benetic algorithms

10. Agents t)at 5ommunicate: 5omm#nication as action, Types of comm#nicating

agents, formal grammar for a s#bset of nglish

11. &/pert system:Introd#ction to e%pert system, 'epresenting and #sing domain

"nowledge, %pert system shells, %planation, Hnowledge ac$#isition12. Applications:7at#ral lang#age processing, erception, 'obotics

BOO)S

Te/t 7oo$s:

1. Str#art '#ssell and eter 7or(ig, Artificial ntelligence) A Modern ApproachG

2. Beorge F.A#ger, Artificial ntelligence) Structures and Strategies for Comple+

(ro#lem Solving, earson d#cation

2eferences:

1. 7ils >. 7illson, Artificial ntelligence) A &ew Synthesis, arco#rt sia

2. laine 'ich and He(in Hnight, Artificial ntelligence, TM

6. atric" 9inston, Artificial ntelligence, earson d#cation

). I(an +ra"to, (rolog (rogramming for Artificial ntelligenceG, earson d#cation

*. fraim T#rban >ay .ronson, Decision Support Systems and ntelligent SystemsG

. d. M. Sasi"#mar and @thers, Artificial ntelligence ) Theory and (ractice

roceedings of the International 5onference H+5S;2002, =i"as #blishing o#se

TEM &O)



O"! E*"MI#"TIO#


M Sc Information Technology Year II, Electi/e I, Term II

SUBJECT: #EU"! #ET&O)S 5 +U66Y SYSTEMS



T)eory: +,, Mar$s

Term #or$"Practical: -, Mar$s

becti'e: This co#rse co(ers basic concepts of artificial ne#ral networ"s, f#y logic

systems and their applications. Its foc#s will be on the introd#ction of basic theory,

algorithm form#lation and ways to apply these techni$#es to sol(e real world problems.

Pre(re8uisite:Hnowledge of calc#l#s, and basic probability and statistics are re$#ired.

+ac"gro#nd in the following s#b/ects desirable: n#merical analysis !incl#dingoptimiation&. rogramming s"ills in one of the following wo#ld be desirable: Matlab,

Math5ad, 5, >a(a, 5KK

$ET"I!E$ SY!!"BUS

1. Introduction: +iological ne#rons, Mc5#lloch and itts models of ne#ron, Types of

acti(ation f#nction, 7etwor" architect#res, Hnowledge representation. Aearning

process: rror;correction learning, S#per(ised learning, Cns#per(ised learning,

Aearning '#les.

2. Single !ayer Perceptron: erceptron con(ergence theorem, Method of steepest

descent ; least mean s$#are algorithms.

6. Multilayer Perceptron: 8eri(ation of the bac";propagation algorithm, Aearning

Factors.

age 1< of 2


20/29

). 2adial 7asis and 2ecurrent 3eural 3etwor$s: '+F networ" str#ct#re, theorem and

the reparability of patterns, '+F learning strategies, H;means and AMS algorithms,

comparison of '+F and MA networ"s, opfield networ"s: energy f#nction, sp#rio#s

states, error performance .

*. Simulated Annealing: The +oltmann machine, +oltmann learning r#le,

+idirectional ssociati(e Memory.

. FuGGy logic: F#y sets, roperties, @perations on f#y sets, F#y relations,

@perations on f#y relations, The e%tension principle, F#y meas#res, Membershipf#nctions, F#ification and def#ification methods, F#y controllers.

BOO)S

Te/t 7oo$s:

1. Simon ay"in, &eural &etwor' a 3 Comprehensive -oundation, earson d#cation

2. #rada >.M., ntroduction to Artificial &eural Systems, >aico p#blishers

6. Thimothy >. 'oss, -u44y /ogic with Engineering Applications, McBraw ill

). hmad Ibrahim, ntroduction to Applied -u44y ElectronicsG, I

2eferences:

1. 3egnanarayana +., Artificial &eural &etwor's, I

2. 8rian"o( 8., ellendoorn . N 'einfran" M., An ntroduction to -u44y ControlG,

7orosa #blishing o#se

6. +er"an '.5., and Tr#batch S.A., -u44y Systems Design (rinciplesG, I ress

TEM &O)



O"! E*"MI#"TIO#


M Sc Information Technology Year II, Electi/e I, Term I

SUBJECT: $I%IT"! SI%#"! POCESSI#%



T)eory: +,, Mar$s

Term #or$"Practical: ?- Mar$s

becti'e: 8igital Signal rocessing contin#es to play an increasingly important role in

the fields that range literally from !astronomy& to !e#gmatography, or magnetic

resonance imaging& and encompass applications s#ch as 5ompact 8isc player, Speech

'ecognition, echo cancellations in comm#nication systems, image nhancement,

geophysical e%ploration, and nonin(asi(e medical imaging. This co#rse aims to b#ild

concepts regarding the f#ndamental principles and applications of Signals, System

Transforms and Filters.

Pre(re8uisites: 7ilDETAILED SYLLABUS1. 6iscrete Time Signals System: 8iscrete4time signals, 8iscrete4time systems,

nalysis of discrete;time ATI systems, 8iscrete;time systems described by differential

e$#ations, Implementation of discrete;time systems, 5orrelation of discrete;time

systems

2. J(Transform: 8efinition and roperties of ;transform, 'ational ;transforms,

In(erse ;transform, one;sided ;transform, nalysis of ATI systems in ;domain

6. Fre8uency Analysis of Signals and Systems:Fre$#ency analysis: 5ontin#o#s time

signals and 8iscrete;time signals, roperties of the Fo#rier transform for discrete;time

signals, Fre$#ency domain characteristics of ATI systems, ATI system as a fre$#ency

selecti(e filter, In(erse systems and decon(ol#tion

age 20 of 2


21/29

). 6iscrete Fourier Transform: Fre$#ency domain sampling, roperties of 8FT, Ainear

filtering method based on 8FT, Fre$#ency analysis of signals #sing 8FT, FFT

algorithm, pplications of FFT, Boertel algorithm, ?#antisation effects in the

comp#tation of 8FT

*. Implementation of 6iscrete Time Systems:Str#ct#re of FI' systems, Str#ct#re of

II' systems, $#antiation of filter coefficients, ro#nd;off effects in digital filters

. 6esign of 6igital Filters: 8esign of FI' filters, 8esign of II' filters from analog

filters, fre$#ency transformations, 8esign of digital filters based on least;s$#aresmethod digital filters from analog#e filters, roperties of FI' digital filters, 8esign of

FI' filters #sing windows, 5omparison of II' and FI' filters, and Ainear phase filters.

D. Introduction to 6SP co(processors: TMS 6205)0-*0, nalog 8e(ices.

E. Applications :Image processing, 5ontrol, Speech, #dio, Telecomm#nication

BOO)S

Te/t 7oo$s:

1. >.B. roa"is, ntroduction to Digital Signal (rocessingG, I

2. @ppenhiem and Schaffer, Discrete Time Signal (rocessingG

2eferences:

1. S.H. Mitra, Digital Signal (rocessingG, TM.

2. T.>. 5a(icchi, Digital Signal (rocessingG, >ohn 9iley.

6. A.5. A#deman,G-undamentals f Digital Signal (rocessingG, >ohn 9iley.

). .5. Ifeachor, +.9. >er(is, Digital Signal (rocessingG, earson d#cation.

*. S Salli(ahanan, Digital Signal (rocessingG, TM.

. sho" mbardar, Analog and Digital Signal (rocessingG, Thompson Aearning.

TEM &O)



O"! E*"MI#"TIO#


M Sc Information Technology Year II, Electi/e I, Term I

SUBJECT: Enterprie #et7or4ing



T)eory: +,, Mar$s

Term #or$"Practical: ?- Mar$s

Introduction

Browth of 5omp#ter 7etwor"ing, 5omple%ity in 7etwor" Systems, Mastering the

5omple%ity, 'eso#rce Sharing, Browth of the Internet, robing the Internet, Interpreting

ing 'esponse

PA2T I 6ATA T2A3SMISSI3Transmission Media

5opper 9ires, Blass Fibers, 'adio, Satellites, Beosynchrono#s Satellites, Aow arth @rbit

Satellites, Aow arth @rbit Satellite rrays, Microwa(e, Infrared, Aight Form a Aaser

!ocal Async)ronous 5ommunication

The 7eed for synchrono#s 5omm#nication, Csing lectric 5#rrent to Send +its, Standards

for 5omm#nication, +a#d 'ate, Framing, and rrors, F#ll 8#ple% synchrono#s

5omm#nication, Aimitations of 'eal ardware, ardware +andwidth and the Transmission

of +its, The ffect of 7oise @n 5omm#nication, Significance for 8ata 7etwor"ing

!ong(6istance 5ommunication 95arriers@ Modulation and Modems

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Sending Signals across Aong 8istances, Modem ardware Csed for Mod#lation and

8emod#lation, Aeased nalog 8ata 5irc#its, @ptical, 'adio Fre$#ency, nd 8ial#p

Modems, 5arrier Fre$#encies and M#ltiple%ing, +ase band nd +roadband Technologies

9a(e 8i(ision M#ltiple%ing, Spread Spectr#m, Time 8i(ision M#ltiple%ing

PA2T II PA5E&T T2A3SMISSI3

Pac$ets@ Frames and &rror 6etectionThe 5oncept of ac"ets, ac"ets and Time;8i(ision M#ltiple%ing, ac"ets and ardware

Frames, +yte St#ffing, Transmission rrors, arity +its and arity 5hec"ing, robability,

Mathematics nd rror 8etection, 8etecting rrors 9ith 5hec"s#ms, 8etecting rrors 9ith

5yclic 'ed#ndancy 5hec"s, 5ombining +#ilding +loc"s, +#rst rrors, Frame format nd

rror 8etection Mechanisms

!A3 Tec)nologies and 3etwor$ Topology

8irect oint;To;oint 5omm#nication, Shared 5omm#nication 5hannels, Significance of

A7s and Aocality of 'eference, A7 Topologies, +#s 7etwor": thernet 5arrier Sense on

M#lti;ccess 7etwor"s !5SM&, 5ollision 8etection and +ac" off 9ith 5SM-58,

9ireless A7s nd 5SM-5, +#s 7etwor": Aocal Tal"

%ardware Addressing and Frame Type IdentificationSpecifying a 'ecipient, ow A7 ardware Cses ddresses to Filter ac"ets Format of a

hysical ddress, +roadcasting, M#lticasting, M#lticast ddressing, Identifying ac"et

5ontents, Frame eaders nd Frame Format, Csing 7etwor"s That 8o 7ot a(e Self;

Identifying Frames, 7etwor" nalyers

!A3 #iring@ P)ysical Topology@ and Interface %ardware

Speeds of A7s and 5omp#ters, 7etwor" Interface ardware, the 5onnection between

7I5 and 7etwor", @riginal Thic" thernet 9iring, 5onnection M#ltiple%ing, Thin

thernet 9iring

Twisted air thernet, the Topology arado%, 7etwor" Interface 5ards and 9iring Schemes,

&/tending !A3s: Fiber Modems@ 2epeaters@ 7ridges and Switc)es

8istance Aimitation and A7 8esign, Fiber @ptic %tensions, 'epeaters, +ridges, Frame

Filtering

Start#p and Steady State +eha(ior of +ridged 7etwor"s, lanning a +ridged 7etwor",

+ridging +etween +#ildings, +ridging cross Aonger 8istances, 5ycle @f +ridges,

8istrib#ted Spanning Tree, Switching, 5ombining Switches nd #bs, +ridging nd

Switching 9ith @ther Technologies

!ong(6istance 6igital 5onnection Tec)nologies

8igital Telephony, Synchrono#s 5omm#nication, 8igital 5irc#its and 8SC, Telephone

Standards

8S Terminology and 8ata 'ates, Aower 5apacity 5irc#its, Intermediate 5apacity 8igital

5irc#itsighest 5apacity 5irc#its, @ptical 5arrier Standards, the 5 S#ffi%, Synchrono#s @ptical

7etwor" !S@7T&, the Aocal S#bscriber Aoop, IS87, symmetric 8igital S#bscriber Aine

Technology

@ther 8SA Technologies, 5able Modem Technology, Cpstream 5omm#nication, ybrid

Fiber 5oa%

#an Tec)nologies and 2outing

Aarge 7etwor"s and 9ide reas, ac"et Switches, Forming 97, Store and Forward

hysical ddressing In 97, 7e%t;op Forwarding, So#rce Independence, 'elationship

of ierarchical ddresses to 'o#ting, 'o#ting In 97, Cse of 8efa#lts 'o#tes, 'o#ting

Table 5omp#tation, Shortest ath 5omp#tation in a Braph, 8istrib#ted 'o#te 5omp#tation,

8istance =ector 'o#ting

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3etwor$ wners)ip@ Ser'ice Paradigm@ and Performance

7etwor" @wnership, =irt#al ri(ate 7etwor"s, Ser(ice aradigm, 5onnection 8#ration and

ersistence, %amples of Ser(ice aradigms, ddresses and 5onnection Identifiers, 7etwor"

erformance 5haracteristics

Protocols and !ayering

The 7eed for rotocols, rotocol S#ites, lan for rotocol 8esign, the Se(en Aayers,

Stac"s: Aayered Software, ow Aayered Software 9or"s, M#ltiple, 7ested eaders, the

Scientific +asis for Aayering,T&2M #2E

Term wor" sho#ld consist of at least 10 assignments from the aforementioned topics.

Seminar to be presented by each st#dent as part of term wor"s carrying 1* mar"s.

2&F&2&35&

5omp#ter 7etwor", T#e"e#n, I

7etwor"ing Technology, >aiswal, Balgotia.

8ata 7etwor"ing, +ertse"as, I

5omp#ter 7etwor"s and Internets, 8o#glas . 5omer earson d#cation sia

M Sc Information Technology Year II, Electi/e II, Term I

SUBJECT: P"TTE# ECO%#ITIO#


Practical: ? %rs per wee$

T)eory: +,, Mar$s

Term #or$: ?- Mar$s

ral: ?- Mar$s

becti'e: This co#rse teaches the f#ndamentals of techni$#es for classifying m#lti;

dimensional data, to be #tilied for problem;sol(ing in a wide (ariety of applications, s#ch

as engineering system design, man#fact#ring, technical and medical diagnostics, image

processing, economics, psychology.

Pre(re8uisite: Ainear lgebra, robability and Statistics

$ET"I!E$ SY!!"BUS1. Introduction:Machine perception, attern recognition systems, 8esign cycle,

Aearning and daptation

2. 7ayesian 6ecision T)eory:+ayesian decision theory: 5ontin#o#s feat#res, Minim#m;

error rate classification, classification, 5lassifiers, 8iscriminant f#nctions and 8ecision

s#rfaces, 7ormal density, 8iscriminant f#nctions for normal density, +ayes 8ecision

theory: discrete feat#res

6. Ma/imum(!i$eli)ood and 7ayesian Parameter &stimation:Ma%im#m li"elihood

estimation, +ayesian estimation, +ayesian parameter estimation: Ba#ssian caseand

Beneral theory, rolems of dimentionality, idden Mar"o( Model

). 3onparametric Tec)ni8ues:8ensity estimation, aren windows, 'n;7earest;

7eighbor estimation, 7earest;7eighbor r#le, Matrics and 7earest;7eighbor

classification

*. !inear 6iscriminants Functions:Ainear discriminant f#nctions and decision s#rfaces,

Beneralised linear discriminant f#nctions, 2;5ategory linearly separable case,

Minimising the erceptron criterion f#nction, 'ela%ation proced#re, 7on;separable

beha(ior, Minim#m s$#ared error proced#re, o;Hashyap proced#res, M#lticategory

generaliations

. 3onmetric Met)ods: 8ecision tree, 5'T, I86, 5).*, Bramatical methods,

Bramatical interfaces

D. Algorit)m Independent Mac)ine !earning: Aac" of inherent s#periority of any

classifier, +ias and =ariance, 'esampling for estimating statistic, 'esampling forclassifier design, stimating and comparing classifiers, 5ombining classifiers

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E. =nsuper'ised !earning and 5lustering: Mi%t#re densities and Identifiability,

Ma%im#m;Ai"elihood estimations, pplication to normal mi%t#res, Cns#per(ised

+ayesian learning, 8ata description and cl#stering criterion f#nction for cl#stering,

ierarchical cl#stering

;. Applications of Pattern 2ecognition

BOO)S

Te/t 7oo$s:

1. 8#da, art, and Stoc", (attern ClassificationG, >ohn 9iley and Sons.2. Bose, >ohnsonba#gh and >ost, attern 'ecognition and Image analysisG, I

TEM &O)



O"! E*"MI#"TIO#


M Sc Information Technology Year II, Electi/e II, Term II

SUBJECT: COMPUTE (ISIO#



T)eory: +,, Mar$s

Term #or$"Practical: -, Mar$s

becti'e:To introd#ce the st#dent to comp#ter (ision algorithms, methods and concepts

which will enable the st#dent to implement comp#ter (ision systems with emphasis on

applications and problem sol(ing

Pre(re8uisite:Introd#ction to Image rocessing.

$ET"I!E$ SY!!"BUS

;. 2ecognition Met)odology:5onditioning, Aabeling, Bro#ping, %tracting, Matching.

dge detection, Bradient based operators, Morphological operators, Spatial operators

for edge detection. Thinning, 'egion growing, region shrin"ing, Aabeling of connected

components.

+,. 7inary Mac)ine 4ision: Thresholding, Segmentation, 5onnected component labeling,

ierarchal segmentation, Spatial cl#stering, Split N merge, '#le;based Segmentation,

Motion;based segmentation.

++. Area &/traction:5oncepts, 8ata;str#ct#res, dge, Aine;Ain"ing, o#gh transform,

Aine fitting, 5#r(e fitting !Aeast;s$#are fitting&.

+?. 2egion Analysis:'egion properties, %ternal points, Spatial moments, Mi%ed spatial

gray;le(el moments, +o#ndary analysis: Signat#re properties, Shape n#mbers.

+C. Facet Model 2ecognition:Aabeling lines, Cnderstanding line drawings,

5lassification of shapes by labeling of edges, 'ecognition of shapes, 5onsistinglabeling problem, +ac";trac"ing, erspecti(e ro/ecti(e geometry, In(erse perspecti(e

ro/ection, hotogrammetry 4 from 28 to 68, Image matching : Intensity matching of

I8 signals, Matching of 28 image, ierarchical image matching.

+*. bect Models And Matc)ing:28 representation, Blobal (s. Aocal feat#res.

+-. 0eneral Frame #or$s For Matc)ing:8istance relational approach, @rdered;

str#ct#ral matching, =iew class matching, Models database organiation.

+D. 0eneral Frame #or$s:8istance 4relational approach, @rdered 4Str#ct#ral matching,

=iew class matching, Models database organiation.

+. Enowledge 7ased 4ision:Hnowledge representation, 5ontrol;strategies, Information

integration.

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BOO)S

Te/t 7oo$s:

56 8a(id . Forsyth, >ean once, Computer .ision) A Modern Approach

76 '. >ain, '. Hast#ri, and +. B. Sch#n", Machine .ision, McBraw;ill.

2eferences:

1. Milan Son"a,=acla( la(ac, 'oger +oyle, mage (rocessing, Analysis, and

Machine .isionG Thomson Aearning

2. 'obert aralic" and Ainda Shapiro, Computer and !o#ot .ision, =ol I, II, ddison;9esley, 1


26/29

2eferences :

. Ha#fman, erlman, Speciner, &etwor' SecurityG

D. ric Maiwald, &etwor' Security ) A "eginner1s 2uideG, TM

E. +r#ce Schneier, Applied CryptographyG, >ohn 9iley.


27/29

=irt#al 'eality Systems >ohn =ince; earson d#cation sia

M Sc Information Technology Year II, Electi/e III, Term I

S'&et: M'%time(ia s$stems an( on!e"gene o* te#no%ogies



T)eory: +,, Mar$s

Term wor$"Practical: -, Mar$s

Multimedia systems and con'ergence of tec)nologies8efining the scope of m#ltimedia, yperte%t and 5ollaborati(e research, M#ltimedia and

personalised comp#ting, M#ltimedia on the map, merging applications, The challenges

T)e con'ergence of computers@ 5ommunications@ and entertainment products

The technology trends, M#ltimedia appliances, ybrid 8e(ices, 8esigners perspecti(e,

ind#stry perspecti(e of the f#t#re, Hey challenges ahead, Technical, reg#latory, Social

Arc)itectures and issues for 6istributed Multimedia systems

8istrib#ted M#ltimedia systems, Synchroniation, and ?@S rchitect#re, The role of

Standards, frame wor" for M#ltimedia systems

6igital Audio 2epresentation and processing

Cses of #dio in 5omp#ter pplications, sychoaco#stics, 8igital representation of so#nd,

transmission of digital so#nd, 8igital #dio signal processing, 8igital m#sic ma"ing, Speech

recognition and generation, digital a#dio and the comp#ters

=ideo Technology

'aster Scanning rinciples, Sensors for T= 5ameras, 5olo#r F#ndamentals, 5olo#r =ideo,

=ideo performance Meas#rements, nalog (ideo rtifacts, (ideo e$#ipments, 9orld wide

tele(ision standards

6igital 4ideo and Image 5ompression

=ideo compression techni$#es, standardiation of lgorithm, The >B Image 5ompression

Standard, ITC;T 'ecommendations, The B Motion =ideo 5ompression Standard, 8=I

Technology

perating System Support for 5ontinuous Media ApplicationsAimitation of 9or" station @perating system, 7ew @S s#pport, %periments Csing 'eal

Time Mach

Middleware System Ser'ices Arc)itecture

Boals of M#ltimedia System ser(ices, M#ltimedia system ser(ices rchitect#re, Media

stream protocol

Multimedia 6e'ices@ Presentation Ser'ices@ and t)e =ser Interface

5lient control of contin#o#s m#ltimedia, 8e(ice control, Temporal coordination and

composition, tool"its, hyperapplications

Multimedia File systems and Information Models

The case for m#ltimedia information systems, The file system s#pport for contin#o#s Media,

8ata models for m#ltimedia and ypermedia information, 5ontent; based 'etrie(al ofCnstr#ct#red 8ata

Multimedia presentation and Aut)oring

8esign paradigms and Cser interface, barriers to wide spread #se, research trends

Multimedia Ser'ices o'er t)e Public 3etwor$s

'e$#irements, rchitect#re, and protocols, 7et wor" ser(ices, applications

Multimedia Interc)ange

?#ic" time Mo(ie File Format, ?MFI, MB !M#ltimedia and ypermedia Information

ncoding %pert Bro#p&, Format F#nction and representation, Trac" model and @b/ect

model, 'eal Time Interchange

Multimedia conferencing

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Teleconferencing Systems, 'e$#irements of M#ltimedia 5omm#nications, Shared

pplication rchitect#re and embedded 8istrib#ted ob/ects, M#ltimedia 5onferencing

rchitect#re

Multimedia 0roupware

5omp#ter and =ideo f#sion approach to open shared wo" place, igh 8efinition Tele(ision

and des"top comp#ting, 8T= standards, Hnowledge based M#ltimedia systems, natomy

of an Intelligent M#ltimedia system

Te/t 7oo$M#ltimedia Systems by >ohn F. Hoegel +#ford; earson d#cation

M S ) In*o"mation Te#no%og$ Yea" II+ E%eti!e II+ Te"m I

SUB,E-T: ,a!a Te#no%og$



T)eory: +,, Mar$s

Term wor$"Practical: -, Mar$s

Ja/a Programming

@b/ect oriented programming re(isited, >8H, >a(a =irt#al machine;latform independent;

portability;scalability @perators and e%pressions;decision ma"ing, branching, looping,

5lasses, @b/ects and methods, rrays Strings and =ectors, Interfaces, ac"ages, M#lti;

Threading, managing errors and e%ceptions, pplet programming, Managing files and

streams

a(a Aibrary

Braphics Tool"it, Csing >a(a Braphics on a artic#lar 5omp#ter, >a(a Interpreters and

+rowsers

5ompiling a >a(a rogram, In(o"ing an pplet, %ample of Interaction with a +rowser

2P5 and Middlewarerogramming 5lients and Ser(ers, 'emote roced#re 5all aradigm, '5 aradigm,

5omm#nication St#bs, %ternal 8ata 'epresentation, Middleware and @b/ect;@riented

Middleware

3etwor$ Management 9S3MP

Managing an Internet, The 8anger of idden Feat#res, 7etwor" Management Software,

5lients, Ser(ers, Managers and gents, Simple 7etwor" Management rotocol, Fetch;Store

aradigm, The MI and @b/ect 7ames, The =ariety of MI+ =ariables, MI+ (ariables that

correspond to arrays

8+5: >a(a 8ata +ase

5onnecti(ity, >a(a beans, >a(a interface to 5@'+, >=; 5@M Integration, >a(a Media

Framewor", commerce and /a(a wallet, 8ata str#ct#res and /a(a #tilities, >a(aScript,

Ser(elets

T&2M #2E

Term wor" sho#ld consist of at least 0 assignments incl#ding deb#gged /a(a so#rce code for

the applications from the aforementioned topics. Seminar to be presented by each st#dent

as part of term wor" carrying 1* mar"s.

2&F&2&35&

Csing >= 2, >oseph A weber, I

>= 2 complete, Sybe%, ++

age 2E of 2


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>a(a2 The complete 'eference, atric" 7a#ghton, T M

5omp#ting concepts 9ith >=2, 5ay orstmann, 9IA3

>S >a(a Ser(er ages, +arry +#rd, I8B +oo"s India!p& Atd

>a(a2 rogramming +ible, aron 9alsh, I8B +oo"s India!p& Atd

>a(a2, swing, ser(lets, >8+5 N >= +eans rogramming +lac" +oo" Ste(en olner

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