phd in computer science

Tuesday 24 February 2015

ADMISSION TO PHD

to do phd my advice is to set the preferences of the universities to get success in present competitive world. try to get phd in the below order

IIT'S
NIT'S
IIIT'S
UNIVERSITIES.

Thursday 25 October 2012

Android Applications List

Saturday 22 October 2011

what is phd?what is involved in phd?

First let us clearly understand what is involved in doing a PhD.
PhD is, as everyone knows, about doing research.
And research is about formulating problems or questions whose answers the research or practitioner community wants to know, and whose answers are not known. Doing research is to provide some answer to these questions.
So, the key aspects of doing a PhD are (a) formulating a question or a problem that is of interest and that can be solved, and (b) providing a useful/interesting solution to the stated problem.
The results obtained are presented in national/international conferences, and/or submitted to scientific journals.
The problems that are addressed by a PhD scholar can range from very difficult open problems to evolutionary technology issues.
In Computer Science, the problem area can range from highly theoretical/mathematical to modeling and experimentation or building new technologies.
Then there are problems of the type where something innovative and useful is done using computers and software.
Working on such problems typically involves building systems and prototypes.
In other words, a scholar doing a PhD in Computer Science has a wide range of areas to choose from, depending on his inclination, ability, and interests.
Generally, PhD programs world over proceed as follows: do some course work, pass some qualifying exam, and then write a thesis that has to be defended (sometimes, at the early stages of the thesis a `proposal' may have to be submitted.)
In a place like CSE/IIT Kanpur, generally, a student who joins the PhD program after completing his/her B.Tech/BE will spend about 1 year doing the courses, about 1 to 2 years for formulating the problem, which also requires an in-depth study of the chosen area, and about 2 years or more for developing the solutions and writing the thesis.
Once the thesis is written, it is examined by some experts and a thesis defense is scheduled. This process takes about 6 months, but the candidate can start his post PhD job once the thesis is submitted.
Hence, doing a PhD takes about as much time as doing a BE, or the amount of time a doctor spends doing his residency and MD.
Doing a PhD is indeed hard. However, the difficulty is not because extreme intelligence is necessary. Brilliance, of course, helps - brilliant people can attack hard problems and produce solid results and leave a permanent mark on the field.
However, students with good academic background and some amount of creativity can also do a PhD, and do quite well.
Completing a PhD primarily requires a drive, motivation, and hard work. Hard and motivated work determines not only the quality of the final work, but also the amount of time needed to complete the PhD.
In general, a PhD can be completed in 4 to 5 years - 4 years for the motivated and 5 for the not-so-motivated.

Saturday 7 August 2010

MINIMUM ADMISSION REQUIREMENTS FOR PHD IN INDIA

To apply for the Phd,you must normally have a MTech/ME in any Branch of Engineering
Must also have a valid GATE score
Some Universities may ask First Class Marks in the previous Academic Performance.
In certain cases,if a Student is one of the Topper in an Good Universitty with above 75% maks in Bachelours Degree ie BTech/BE is eligible to do Phd in some Universities.
Under Quality Improvement Program students may differ requirements for Admission.For example caste,disabilty etc...

MINIMUM ADMISSION REQUIREMENTS FOR PHD IN USA

minimum 3.5 GPA(previous degree performance).
acceptable score on the GRE
minimum TOEFL score of 580 on the written exam or 237 on the computer-based exam for international applicants whose native language is not English and who do not have a prior degree from an accredited U.S. institution
three letters of recommendation form previuos university.
some universites may ask students to produce research proposal on ur topic.

An overall evaluation of your credentials will be used as a basis for admission.

Sunday 18 July 2010

many more research areas in computer science

computer security
Uses of randomness in complexity theory and algorithms
Efficient algorithms for finding approximate solutions to NP-hard problems (or proving that they don't exist)
Cryptography.
Computer Architecture
Cryptography, Complexity Theory, Randomness and Computation.
machine learning,graphical models,computational statistics,information retrieval,natural language processing
Design and analysis of algorithms, particularly approximation algorithms, on-line algorithms and efficient algorithms for dealing with large volumes of data.
Computational Geometry, Sublinear Algorithms, Clustering, Discrepancy Theory, Lower Bounds
Computer architecture and organization;
architecturally-focused performance analysis.
Computer Music;
Simulation of Musical Acoustics and Voice;
Real-Time Expressive Computer Control, Human-Computer Interfacing.
Visualization, pervasive computing, software engineering
Computer security;
network software;
technology law and policy.
computer graphics, animation.
operating systems, distributed systems, computer networks, programming languages, computer architecture.
Distributed systems, security, networking, applied cryptography
Structural bioinformatics and computer graphics.
Networked Systems, Operating Systems, Hardware/Software Interfaces
application-specific languages, document preparation, user interfaces, software tools, programming methodology
Search and retrieval of information;
data mining, particularly clustering;
combinatorial algorithms
Computer vision, human vision, machine learning.
Parallel architectures and systems;
distributed systems;
operating systems.
Network/Web servers, operating systems, high-performance applications.
Networked systems, communication protocols, operating systems.
: Data networks, network measurement, network management, routing protocols, network troubleshooting.
computer graphics; acquisition of 3D shape, reflectance, and appearance of real-world objects
Machine learning
Finding efficient algorithms for fundamental practical problems by studying algorithms at all levels through the design-analysis-implementation cycle;
dynamic graphical simulations of algorithms in operation.
Parallel computing systems and applications:
parallel applications and their implications for software and architectural design;
system software and programming environments for multiprocessors. Special interest in applications of computing in computational biology, especially protein structure determination and simulating the immune system
computational molecular biology, as well as its interface with machine learning and algorithms.
auctions, agent-based simulation, soliton computing.
Data structures;
graph algorithms
combinatorial optimization;
computational complexity;
computational geometry;
parallel algorithms.
Bioinformatics;
analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks);
algorithms for integration of data from multiple data sources;
visualization of biological data;
machine learning methods in bioinformatics.
Programming languages, type systems, compilers, data processing and security.
design, analysis, and implementation of algorithms;
combinatorial optimization;
graphs and networks.
computational approaches to analysis of large-scale genomics data sets

VARIETY OF COURSES AND RESEARCH AREAS IN COMPUTER SCIENCE

Choose from a variety of courses and research areas:

algorithm analysis
architecture
artificial intelligence
computer security
computer systems
database systems
distributed computing
game programming
image processing
networking
numerical analysis
operating systems
pattern recognition
programming languages
simulation and modeling