Phd in Computer Science Part time in Delhi - 2018-2019 StudyChaCha

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Old August 21st, 2013, 12:54 PM
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Default Phd in Computer Science Part time in Delhi

Hello sir, I am appearing in the entrance test of Jamia Millia Islamia for admission in part time Phd - Computer Science. Can you please provide me its entrance syllabus??
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Old August 22nd, 2013, 01:01 PM
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Join Date: May 2013
Posts: 14,663
Default Re: Phd in Computer Science Part time in Delhi

As you are appearing in the entrance test of Jamia Millia Islamia for admission in part time Phd - Computer Science so here I am providing you its entrance syllabus

Entrance Syllabus of Phd - Computer Science:

Compulsory Component

Set, Relation, Function, Pigeonhole Principle, Inclusion-Exclusion Principle, Partial and Total
Ordering, Lattice, Elementary Counting Techniques, Recurrence Equations.

Mathematical Logic, Preposition, Connectives, Truth tables; Well-formed formulas, Tautology,
Contradiction, Equivalence of Formulas, Duality, Normal Forms, Theory of inference, Predicate

Measuring Central Tendency and Dispersion of Data, Correlation Analysis, Regression Analysis,
Analysis of Variance, Hypothesis Testing, Probability and Distributions - Sample Space and
Events, Types of Events, Addition and Multiplication Rules, Conditional Probability and Bayes

Logic Gates, Boolean Functions, Combinational and Sequential Circuits, Number System,
Integer/Real Data Representation, Instruction Formats, Addressing Modes, Memory Organization,
I/O Organization. Von-Neumann Architecture, Number System, Complements, Binary Arithmetic,
Numeric and Character Data Representation, Memory and I/O Devices.

Operating Systems and its Types, OS Structure, Components and Services. Memory Management
– Swapping, Memory Allocation, Paging and Segmentation; IPC, Deadlocks and Security.

Network Fundamentals, LAN, MAN, WAN, Network Topologies, Reference Models: OSI and
TCP/IP Models, Transmission Media.

Programming in C: Identifiers, Variables and Constants, Data Types, Operators, Control
Structures, Structured Data Types: Array, Struct, Union, String, Enum, and Pointers. File Handling
in C.

OOP in C++: Class, Object, Inheritance, Polymorphism, and Overloading; Constructors and
Destructors; Virtual Functions, Templates and Exception Handling.

Linear Data Structures: Array, Linked-Lists, Stack, Queue. Non-Linear Data Structures: Tree and
Graph, Hashing and Tables. File Structures: Fields, Records and Files; Sequential, Direct, Index-
Sequential and Relative Files, Inverted Lists and Multi-Lists. Linear Data Structures: Array, Linked-
Lists, Stack, Queue. Non-Linear Data Structures: Tree and Graph.

Asymptotic Notations for Complexity, Best, Average and Worst Case Analyses, Searching and
Sorting, Design Techniques: Divide-and-Conquer Approach, Dynamic Programming, Greedy

DBMS and Types; Database Concepts, Data Models, ER Diagram, Design of Relational Database,
Functional Dependency, Database Decomposition and Normalization, Relational Algebra and
Structured Query Language.

Elective Component

Transaction Management, Serializability and Recoverability, Concurrency Control – Locking
Methods, Deadlock, Time stamping; Database Recovery Techniques – Deferred Updates and
Immediate Updates, Shadow Paging, Logs. Query Processing and Optimization: Query
Decomposition, Heuristic Approach to Query Optimization, Pipelining.

System Development Life Cycle (SDLC), Software Process Models. Software Metrices, Software
Design: System Design, Detailed Design, Function-Oriented Design, Object-Oriented Design,
User-Interface Design. Design Level Metrices. Software Testing and Quality Assurance, Testing
Metrices, Software Quality and Reliability, Risk Management, Software Re-engineering, Software

Operating System and its Types. Memory Management – Swapping, Memory Allocation, Paging
and Segmentation; Virtual Memory; Demand Paging; Page Replacement Algorithms; Thrashing.
CPU Scheduling, I/O Scheduling, Resource Scheduling, Deadlock and Scheduling Algorithms,
Deadlock Prevention and Avoidance. Process, Process Control Block, Concurrent Processing,
Process Synchronization, Mutual Exclusion, Critical Regions, Semaphores.

Computer Networks, OSI and TCP/IP Model, TCP and UDP, IP, Datagram, Addressing, Subnetting
and Masking; ARP, RARP, ICMP, IGMP. Client-Server Model: BOOTP and DHCP. Domain Name
System (DNS), Internet and Intranet, Internet Services: E-mail, World Wide Web (WWW) etc.
Asynchronous Transmission Mode (ATM): Architecture, Switching, Layers, and Applications.

Computer Graphics, Input and Output Devices, Color Schemes, Line and Circle and Ellipse
Drawing Algorithms, Polygon Fill Algorithms, Two Dimensional Geometric Transformations and
Viewing, Three Dimensional Geometric Transformations and Viewing, Three Dimensional Object
Representations, Shading, and Hidden Surface Detection.

Intelligent Systems, A*, AO* Search, Game Playing, MiniMax Search, Alpha-Beta Cut-offs;
Knowledge Representation Issues, Symbolic Reasoning under Uncertainty, Semantic Nets,
Frames, Conceptual Dependency, Scripts, CYC; Machine Learning: Symbol-based, ID3, ILA,
Unsupervised, Reinforcement Learning; Connectionist, Perceptron, Backpropagation, Competitive,
Hebbian Learning, attractor Networks for Memories, Learning in Hopfield and Boltzman Network;
Genetic Algorithm, Classifier Systems and Genetic Programming, Artificial Life and Society based
learning; Expert Systems, Natural Language Processing, Common Sense, Perception and Action,
Vision, Planning, Understanding.

Exhaustive Search, Genome Rearrangement, Sorting by Reversals., Breakpoints, Motif finding,
Edit Distance and Alignments, Longest Common Subsequences, Local and Global Sequence
Alignments, Alignments with Gap Penalties, DNA Sequencing, Shortest Superstring Problem, DNA
Arrays, Sequencing By Hybridization (SBH), Combinatorial Pattern Matching. Regular Expression,
Patterns, Matching Operator, Substitutions, Subroutines, File handling. Object-Oriented Perl,
Application of Perl in Bioinformatics, BioPerl.

Introduction to Bioinformatics, Biological Databases, Protein Structure Analysis Tools, Sequence
Analysis Methods, Phylogenetic Analysis. Biological Macromolecules, Structure of Carbohydrates,
Structure of Nucleic Acid, Flow of Genetic Information, Structure and Stability of Protein.
Introductory Cheminformatics, Cheminformatics Database, Personalized Medicine, Gene and Drug
Correlation, Combinatorial Chemistry, Drug Design and Discovery.

Genome evolution and phylogenetics, Structural Genomics Technology, Metabolic Reconstruction,
Introduction to Proteomics, Protein-protein interaction, Microarray. Introduction to Systems Biology,
System Behavior Analysis, Modeling Genetic Networks, Analysis of Cancer Associated Gene
Expression Matrices, Reverse Engineering and Data Mining from Gene Expression Data,
Automated Reverse Engineering of Metabolic Pathways Using Genetic Programming. Protein
secondary structure predictions, Molecular Modeling, Molecular Visualization Tools, Introduction to
Drug design, Protein Engineering, Biomolecular Simulations.

Sequence Database, Information Retrieval from Databases, Analysis of DNA and Protein
Sequences, Sequence Alignment, DNA Sequencing, Sequencing by Hybridization, Database
Searching for Homologous Sequences, Artificial Neural Networks, Protein Structure Prediction,
Evolutionary Analysis, Clustering Techniques, Hidden Markov Model, Pathway Analysis, Metabolic
Networks, Restriction Mapping, Gene Expressions and Microarray Technology. Molecular
Modeling and Simulations, Protein-Protein Interaction.

Jamia Millia Islamia,
Maulana Mohammad Ali Jauhar Marg,
Jamia Nagar,
New Delhi-110025
Phone: 011 2698 1717


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Old October 27th, 2015, 07:56 PM
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Default Re: Phd in Computer Science Part time in Delhi

I have completed my PG degree and want to do Phd in Computer Science Part Time in Delhi. Will you please tell me what type of job I will get after doing this degree also tell me lists of Phd in Computer Science Part Time colleges which is located in Delhi?
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Old October 27th, 2015, 07:56 PM
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Join Date: Jun 2013
Posts: 42,294
Default Re: Phd in Computer Science Part time in Delhi

It is required by all students who wish to join the doctoral program in computer Science to appear for an entrance examination.

Ph.D. in Computer Science and Engineering

The eligibility criteria for pursuing a master’s degree are holding a bachelor's degree in (B.E/B.Tech) or any other equivalent branches of engineering. The duration for this course is 2 years.

Some job titles:-

Web Developers
System Designer
Help Desk Specialist
Networking Specialist
Data-warehouse Analyst
E- Commerce Specialists

Phd in Computer Science Part Time colleges in Delhi:

Galgotias University, Greater Noida
Jamia Millia Islamia, Jamia Nagar, Delhi
Lingaya's University, Faridabad
Jamia Hamdard University (JHU Delhi ), Hamdard Nagar, Delhi
Netaji Subhas Institute of Technology, Dwarka, Delhi
Jawaharlal Nehru University, Mehrauli, Delhi
Delhi Degree College, Badarpur, Delhi
Isara Institute of Management & Professional Studies, Vikas Puri, Delhi
Indraprastha Institute of Information Technology, Okhla, Delhi
Answered By StudyChaCha Member
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