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Old August 8th, 2019, 04:42 PM
Aakashd
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Join Date: Jun 2013
Posts: 44,192
Default Re: Prepare For M.Phil Computer Science Entrance Exam

As you are asking for Dravidian University, [DU] Kuppam M.Phil Computer Science Entrance Exam syllabus so here I am providing same here :

Dravidian University, [DU] Kuppam M.Phil Computer Science Entrance Exam syllabus
Research Methodology

Thesis Writing, Analysis of Algorithms, Formal Languages and Automata, Probability and Statistical Analysis, Logics, Relations and Functions

To impart the basic concepts on algorithms, formal languages and Automata, probability and statistics, logic, relations and functions which are required for research and to give knowledge on thesis writing.

Concepts In Computer Science

Computer Architecture, Distributed Databases, Communication Protocols, Computer Graphics and Multimedia, Web Technology

To impart knowledge on the some of the advance topics in Computer Science such as computer architecture, distributed databases, communication protocols, Computer graphics and Web Technology.

Artificial Intelligence & Expert Systems

Artificial Intelligence, Knowledge Representation, Natural language processing, Expert Systems, Knowledge Base and chaining functions

The objective of this course is to educate students about different types of expert systems in computers.

Simulation And Modeling

Introduction to Simulation, Statistical Models in Simulation, Random - Number Generation, Input Modeling : Data Collection, Comparison of Two System Designs

Students are taught about the simulation and modelling techniques.

Grid Computing

Grid Computing: Early Grid Activities, Merging the Grid Services Architecture with the Web Services Architecture, Open Grid Services Infrastructure (OGSI), The Grid Computing Tool Kits

Students learn grid computing and its background and detailed knowledge.

Data Mining

Introduction to Data Mining, Data Processing: Cleaning, Concept description, Classification and prediction, Multidimensional analysis and descriptive mining of complex data objects

The objective of this course is to provide students a detailed knowledge about concepts of data mining.

Wireless Networks And Security

Overview of Wireless Networks, Network Planning, CDMA Technology, IEEE 802.11 WLANs, Case studies

The subject covers various topics of wireless networks and its mechanism.

Object Oriented Database Systems

Object Oriented System, Object Modeling, Object -Oriented- Databases, Transactions, Parallel Databases

The main objective of the course is to make students familiar with object oriented database systems.

Artificial Neural Networks

Characteristics of biological Neuron, Back Propagation network, Statistical methods

The subject covers the concepts of artificial neural networks along with its principles and elements.
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