Monday, October 24, 2011
FireFox
the Crazy Browser@@@!!! one of the best in the world do download it to make your life easy and simple
Wednesday, March 30, 2011
IMP QUESTION FOR II MID IV II
HERE ARE THE IMPORTANT QUESTIONS
TIME TABLE!
31 MARCH- MANAGEMENT SCIENCE
1 MARCH- NETWORK MANAGEMENT SYSTEMS
2 MARCH - DESIGN PATTERNS
MANAGEMENT SCIENCE
1.functions & objs of HRM
2.MANpower PLANING
3.MATERIAL RESOURCES
4. PROBLEM BASED ON INDENTIFYING CRITICAL PATH
5. TRAINING PURPOSE
6. ENVIRORMENT SCANNING
7. QUALITY MANAGEMENT
8. VARIOUS DEFINATIONS OF STAG,FLOAT EARLY ETC (NOT CLEAR) ... THERE ARE MANY DEFINATIONS SO BETTER LEAVE IT
NETWORK MANAGEMENT SYSTEM
1.What is remote monitoring? Explain with diag
2.explain ATM remote monitoring
3.TMN conceptual model explain?
4.explain TMN architecture with diagram
5.explain network management systems with brief explanation
6.explain embedded web based management
2.explain ATM remote monitoring
3.TMN conceptual model explain?
4.explain TMN architecture with diagram
5.explain network management systems with brief explanation
6.explain embedded web based management
DESIGN PATTERNS
1. Explain the implementation of Decorator pattern?
2. Explain object behavioral Iterator pattern?
3. Explain object behavioral Mediator pattern?
4. Explain discussion of Behavioral patterns?
5. Explain what to expect from Design patterns & a brief History?
6. Explain Flyweight pattern?
Tuesday, September 7, 2010
TEXT BOOKS
TEXT BOOKS
http://www.zshare.net/download/801589211a0b6f01/
http://www.easy-share.com/1906804804/Mobile%20Communications.rar
ayala--
http://depositfiles.com/en/files/2623602
Friday, April 30, 2010
CN PROGRAMS
ALL ARE SUPPOSED TO GET IT PRINT IN A4 PAPERS this is THE CORRECT FORMAT
BETTER TO USE FIREFOX
MEGAUPLOAD IS THE BEST
http://www.zshare.net/download/755464759d0610cb/
download in zshare
megaupload
http://www.megaupload.com/?f=9QAOX7OL
download megaupload
ziddu
http://www.ziddu.com/download/9668765/CN.exe.html
download ziddu
BETTER TO USE FIREFOX
MEGAUPLOAD IS THE BEST
http://www.zshare.net/download/755464759d0610cb/
download in zshare
megaupload
http://www.megaupload.com/?f=9QAOX7OL
download megaupload
ziddu
http://www.ziddu.com/download/9668765/CN.exe.html
download ziddu
Monday, April 26, 2010
wt study material for internal
hi!!!!
here is the WT study material for INTERNAL given BY IT HOD
sincere request please you only mozilla firefox for better downloading
click here to download
zshare
http://www.zshare.net/download/75403649bb980d50/
click here to download
ziddu
http://www.ziddu.com/download/9618404/Introductionjsp.doc.html
here is the WT study material for INTERNAL given BY IT HOD
sincere request please you only mozilla firefox for better downloading
click here to download
zshare
http://www.zshare.net/download/75403649bb980d50/
click here to download
ziddu
http://www.ziddu.com/download/9618404/Introductionjsp.doc.html
Wednesday, April 21, 2010
important questions
DMDW
1.a explain a priori algorithm with an example?
1.b discuss the issues related to association rule mining.
2.a write the algorithm for classification by decision-tree induction.
2.b explain the data classification process with a neat diagram.
3.a discuss about constraint based association mining
. 3.b discuss about ARCS. 4.a explain bayesian classification.
4.b discuss the issues regarding classification and prediction.
5.a explain about partitioning methods.
5.b discuss about outlier analysis.
6.a discuss about mining frequent item sets with candidate generation.
6.b discuss about multidimensional rules in details.
7.a write short notes on: i) genetic algorithms. ii) rough set approach. iii) k- nearest neighbor classifier.
7.b explain about classification methods.
click here to download or you can view it directly below
PLZ USE ONLY MOZILLA FIREFOX ONLY
(ziddu.com)
download here
http://www.ziddu.com/download/9554661/IIMIDIMPQS.doc.html
(zshare.com)
download here
http://www.zshare.net/download/75247443e547bbf0/
TEXT FORMAT
DMDW
1.a explain a priori algorithm with an example?
1.b discuss the issues related to association rule mining.
2.a write the algorithm for classification by decision-tree induction.
2.b explain the data classification process with a neat diagram.
3.a discuss about constraint based association mining
. 3.b discuss about ARCS. 4.a explain bayesian classification.
4.b discuss the issues regarding classification and prediction.
5.a explain about partitioning methods.
5.b discuss about outlier analysis.
6.a discuss about mining frequent item sets with candidate generation.
6.b discuss about multidimensional rules in details.
7.a write short notes on: i) genetic algorithms. ii) rough set approach. iii) k- nearest neighbor classifier.
7.b explain about classification methods.
COMPUTER NETWORKS
Explain link state routing.
Explain about choke packets,load shedding and jitter control.
Explain about TCP and UDP protocols.
Explain traditional cryptography systems.
Explain about simple network management protocol.
Explain about tunneling.
Explain DNS .
Explain about two way handshaking process.
Differentiate between broadcast and multicast routing.
How can congestion be controlled in multicasting.
Explain about the services of transport layer.
OOAD
1.what are use cases and use case diagrams explain with examples(common modelling techniques included)
2.what are activity diagrams explain with an example(this includes everything forkin n joinin,swimlanes ,and other terms and concepts.also common modelling techniques.
3.what is component and deployment and also differntiate btw them (chap 25 n 26 in text).
4.what are events and signals,statemachines,time and space,process and threads,statecharts(everything included)
//sir said to prepare all the topics of 5th, 6th,7th units.the above are the ques based on these unit's topics.
MWT
1.two types of client server invocations(unit 5)
2.explain orblets with applets(unit 5)
3.write about corba activation services.(unit 6)
4.explain corba to idl mapping(unit 6)
5.explain consistency(unit 7)
6.explain corba beans.(unit 7)
WT
check out the website www.tkrcetit.co.cc
1. Write a servlet that ganarates HTML page and expalin the process og genaration of HTML page.
2. Develop a JSP for a news channel to conduct public opinoin poll on any topic. Users will respond through yes/no answer. Later display the results in percentages.
3. a) Which is the biggest scope provided by JSP? Explain it.
b) Develop a JSP which uses two beans in different scopes.
4. a) Expalin the steps involved in data source Name creation.
b) Write a short note result Set MetaData.
5. a) Explain the life cycle of JSP.
b) Discuss the JSP standerd actions.
6. a) Write a JSp that handles empty from values.
b) Give a detail note on JSP action ufor Java Bean manipulation.
7. Describe the process of aceessing the database from a front end tool/form designed using java.
8. a) Give a note on application scope
b) Write a JSP with a bean in the session scope.
9. Write a progaram to update the salary Rs.6000/- for an employee name like “P. Ramu” using
Prepared statement.
10. a)Explain the core interface provided in javax.servlet.http package.
b) How to handle HTTP requests and responses.
11. List and explain the attributes of the page directive.
12. Wexplain JSP apllicaton design with suitable example?
13. Expalin how JDBC performs mapping between JAVA and SQL data types.
e-com
1 ) explain abt edi layered architecture ?its s/w implementation
2) explain abt information flow with edi & informaton flow without edi
3)explain VAN?
4) what is workflow automation and coordinate & explain
5)briefly explain SCM?
6)how customization is related to internal commerce.explain
7)how digital library helpful for document management
8)explain diff types of digital document type?
9)explain diff types of deskop video processing?
10) what are characteristics of digital video?
11)a)what are key multimedia concept?
b) explain JPEG/MPEG/MBONR & CO-SEEME
12)expain desktop video conferencing
DMDW
1.a explain a priori algorithm with an example?
1.b discuss the issues related to association rule mining.
2.a write the algorithm for classification by decision-tree induction.
2.b explain the data classification process with a neat diagram.
3.a discuss about constraint based association mining
. 3.b discuss about ARCS. 4.a explain bayesian classification.
4.b discuss the issues regarding classification and prediction.
5.a explain about partitioning methods.
5.b discuss about outlier analysis.
6.a discuss about mining frequent item sets with candidate generation.
6.b discuss about multidimensional rules in details.
7.a write short notes on: i) genetic algorithms. ii) rough set approach. iii) k- nearest neighbor classifier.
7.b explain about classification methods.
1.a explain a priori algorithm with an example?
1.b discuss the issues related to association rule mining.
2.a write the algorithm for classification by decision-tree induction.
2.b explain the data classification process with a neat diagram.
3.a discuss about constraint based association mining
. 3.b discuss about ARCS. 4.a explain bayesian classification.
4.b discuss the issues regarding classification and prediction.
5.a explain about partitioning methods.
5.b discuss about outlier analysis.
6.a discuss about mining frequent item sets with candidate generation.
6.b discuss about multidimensional rules in details.
7.a write short notes on: i) genetic algorithms. ii) rough set approach. iii) k- nearest neighbor classifier.
7.b explain about classification methods.
click here to download or you can view it directly below
PLZ USE ONLY MOZILLA FIREFOX ONLY
(ziddu.com)
download here
http://www.ziddu.com/download/9554661/IIMIDIMPQS.doc.html
(zshare.com)
download here
http://www.zshare.net/download/75247443e547bbf0/
TEXT FORMAT
DMDW
1.a explain a priori algorithm with an example?
1.b discuss the issues related to association rule mining.
2.a write the algorithm for classification by decision-tree induction.
2.b explain the data classification process with a neat diagram.
3.a discuss about constraint based association mining
. 3.b discuss about ARCS. 4.a explain bayesian classification.
4.b discuss the issues regarding classification and prediction.
5.a explain about partitioning methods.
5.b discuss about outlier analysis.
6.a discuss about mining frequent item sets with candidate generation.
6.b discuss about multidimensional rules in details.
7.a write short notes on: i) genetic algorithms. ii) rough set approach. iii) k- nearest neighbor classifier.
7.b explain about classification methods.
COMPUTER NETWORKS
Explain link state routing.
Explain about choke packets,load shedding and jitter control.
Explain about TCP and UDP protocols.
Explain traditional cryptography systems.
Explain about simple network management protocol.
Explain about tunneling.
Explain DNS .
Explain about two way handshaking process.
Differentiate between broadcast and multicast routing.
How can congestion be controlled in multicasting.
Explain about the services of transport layer.
OOAD
1.what are use cases and use case diagrams explain with examples(common modelling techniques included)
2.what are activity diagrams explain with an example(this includes everything forkin n joinin,swimlanes ,and other terms and concepts.also common modelling techniques.
3.what is component and deployment and also differntiate btw them (chap 25 n 26 in text).
4.what are events and signals,statemachines,time and space,process and threads,statecharts(everything included)
//sir said to prepare all the topics of 5th, 6th,7th units.the above are the ques based on these unit's topics.
MWT
1.two types of client server invocations(unit 5)
2.explain orblets with applets(unit 5)
3.write about corba activation services.(unit 6)
4.explain corba to idl mapping(unit 6)
5.explain consistency(unit 7)
6.explain corba beans.(unit 7)
WT
check out the website www.tkrcetit.co.cc
1. Write a servlet that ganarates HTML page and expalin the process og genaration of HTML page.
2. Develop a JSP for a news channel to conduct public opinoin poll on any topic. Users will respond through yes/no answer. Later display the results in percentages.
3. a) Which is the biggest scope provided by JSP? Explain it.
b) Develop a JSP which uses two beans in different scopes.
4. a) Expalin the steps involved in data source Name creation.
b) Write a short note result Set MetaData.
5. a) Explain the life cycle of JSP.
b) Discuss the JSP standerd actions.
6. a) Write a JSp that handles empty from values.
b) Give a detail note on JSP action ufor Java Bean manipulation.
7. Describe the process of aceessing the database from a front end tool/form designed using java.
8. a) Give a note on application scope
b) Write a JSP with a bean in the session scope.
9. Write a progaram to update the salary Rs.6000/- for an employee name like “P. Ramu” using
Prepared statement.
10. a)Explain the core interface provided in javax.servlet.http package.
b) How to handle HTTP requests and responses.
11. List and explain the attributes of the page directive.
12. Wexplain JSP apllicaton design with suitable example?
13. Expalin how JDBC performs mapping between JAVA and SQL data types.
e-com
1 ) explain abt edi layered architecture ?its s/w implementation
2) explain abt information flow with edi & informaton flow without edi
3)explain VAN?
4) what is workflow automation and coordinate & explain
5)briefly explain SCM?
6)how customization is related to internal commerce.explain
7)how digital library helpful for document management
8)explain diff types of digital document type?
9)explain diff types of deskop video processing?
10) what are characteristics of digital video?
11)a)what are key multimedia concept?
b) explain JPEG/MPEG/MBONR & CO-SEEME
12)expain desktop video conferencing
DMDW
1.a explain a priori algorithm with an example?
1.b discuss the issues related to association rule mining.
2.a write the algorithm for classification by decision-tree induction.
2.b explain the data classification process with a neat diagram.
3.a discuss about constraint based association mining
. 3.b discuss about ARCS. 4.a explain bayesian classification.
4.b discuss the issues regarding classification and prediction.
5.a explain about partitioning methods.
5.b discuss about outlier analysis.
6.a discuss about mining frequent item sets with candidate generation.
6.b discuss about multidimensional rules in details.
7.a write short notes on: i) genetic algorithms. ii) rough set approach. iii) k- nearest neighbor classifier.
7.b explain about classification methods.
Monday, April 19, 2010
wt imp questions and uml record
hi here is the req materials
click download for uml
http://www.ziddu.com/download/9510005/UML_Record.doc.html
click download for wt impq
http://www.ziddu.com/download/9510006/WTQP.docx.html
click download for uml
http://www.ziddu.com/download/9510005/UML_Record.doc.html
click download for wt impq
http://www.ziddu.com/download/9510006/WTQP.docx.html
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