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International Conference

International Conference on innovation in Communication, Information and Computing (ICICIC '13 Which held during 9th, 10th ,11th January 2013 Organized by the department of CSE, IT,MCA

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M.E. Computer Science And Engineering

Theory

  • Applied Probability and Statistics
  • Design and Management of Computer Networks
  • Advanced Data Structures and Algorithms
  • Multicore Architectures
  • Elective I
  • Elective II

Practical

  • Advanced Data Structures Laboratory
  • Case Study - Network Design (Team Work)

Theory

  • Theoretical Foundations of Computer Science
  • Advanced Databases
  • Principles of Programming Languages
  • Advanced Operating Systems
  • Elective III
  • Elective IV

Practical

  • Advanced Databases Laboratory
  • Case Study - Operating Systems Design (Team Work)

Theory

  • Software Process and Project Management
  • Elective V
  • Elective VI
  • Elective VII

Practical

  • Project Work (Phase I)

Practical

  • Project Work (Phase II)

Electives

Elective-I

  • Formal Models of Software Systems
  • Performance Evaluation of Computer Systems
  • Probabilistic Reasoning Systems
  • Data Analysis and Business Intelligence
  • Image Processing and Analysis
  • Sensing Techniques and Sensors

Elective-II

  • Randomized Algorithms
  • Mobile and Pervasive Computing
  • Parallel Programming Paradigms
  • Software Requirements Engineering
  • Speech Processing and Synthesis
  • Machine Learning Techniques

Elective-III

  • Concurrency Models
  • Real Time Systems
  • Computer Vision
  • Network and Information Security
  • Design and Analysis of Parallel Algorithms
  • Software Architectures

Elective-IV

  • Model Checking and Program Verification
  • Embedded Software Development
  • Cloud Computing
  • Data Visualization Techniques
  • Protocols and Architecture for Wireless Sensor Networks
  • Language Technologies

Elective-V

  • Social Network Analysis
  • Managing Big Data
  • Mobile Application Development
  • Bio-inspired Computing
  • Medical Image Processing
  • Software Design

Elective-VI

  • Reconfigurable Computing
  • Energy Aware Computing
  • Information Retrieval Techniques
  • Data Mining Techniques
  • Bio Informatics
  • Software Quality Assurance

Elective-VII

  • Multiobjective Optimization Techniques
  • Enterprise Application Integration
  • Information Storage Management
  • Robotics
  • Compiler Optimization Techniques

Graduates of this M. E. Computer Science and Engineering will be able to

1.   Apply the necessary mathematical  tools and fundamental & advanced knowledge of computer science & engineering

2.   Develop computer/software/network systems understanding the importance of social

business, technical, environmental,  and human context in which the systems would work

3.   Articulate fundamental concepts, design underpinnings of computer/software/network systems,  and  research  findings  to  train  professionals  or  to  educate  engineering students

4.   Contribute   effectively   as   a   team   member/leader,    using   common   tools   and environment, in computer science and engineering projects, research, or education

5.   Pursue  life-long  learning  and  research  in  selected  fields  of  computer  science  & engineering and contribute to the growth of those fields and society at large

  1. Apply   knowledge  of mathematics,   science,   engineering   fundamentals  and  an engineering specializationto the conceptualization of engineering models.
  2. Identify,  formulate,  research literature  and solve complexengineering problems reaching   substantiated   conclusions   using   first   principles  of   mathematics  andengineering sciences.
  3. Design  solutions    for     complexengineering       problems            and        designsystems, components  or processes thatmeet specifiedneeds withappropriate consideration for public health and safety,cultural, societal, and environmental considerations.
  4. Conduct   investigations  of  complex problems  including  design   of  experiments, analysis and interpretation ofdata, and synthesis ofinformationto provide validconclusions.
  5. Create, select and apply appropriate techniques,resources, and modernengineeringtools, includingprediction  and modeling, to complexengineering  activities,  withan understanding of the limitations.
  6. Function effectively asan individual,  and asa member or leaderin diverseteams and in multi-disciplinary settings.
  7. Communicate  effectively  on  complexengineering activities with  the  engineering community and with societyat large,suchas beingable tocomprehend  and write effectivereportsand design documentation, makeeffective presentations, and giveand receive clear instructions.
  8. Demonstrate understanding ofthe societal,health, safety,legal and cultural issues and the consequent responsibilities relevant toengineering practice.

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