M.Phil. Computer Science – Hajvery University – Lahore

Course Name:    M.Phil. Computer Science

Overview

Modern Computer Science is an academic subject of extraordinary scope and vitality. Its origins are linked to the invention of the first electronic computers nearly 50 year ago, but we are probably only just beginning to realize the implications of using computers to enhance human productivity and creativity. As hardware and software technology have developed, so has the range and nature of computing applications. New insights into parallel processing, programme verification and the efficiency of algorithms have resulted, and new mathematical approaches to modeling and simulating complex systems are being explored.

Because of the interaction between people and electronic devices that is characteristic of modern computing applications, the study of formal methods is complemented by research into psychology and the theory of language. In the search for good ways of formulating the requirements for complex systems and then designing and specifying suitable computer solutions, general abstract principles-independent of any specific application – are now emerging. These define the nucleus of a new scientific and engineering discipline.

Number of Semesters:    4

Requirements

BS or equivalent with minimum CGPA 2.5/4.0. The students awaiting result may also apply for admission on provisional basis.

Course Duration:     2 years

Curriculum:

Courses for M.Phil. / MS Computer Sciences

• Control Theory
  
• Theory of Computations
  
• Computational Complexity
  
• Approximation Algorithms
  
• Neural Networks
  
• Swarm Intelligence
  
• Graph Theory
  
• Theory of NP Completeness
  
• Software Quality Assurance
  
• Adhoc Networks
  
• Human Computer Interaction
  
• Image Processing
  
• Pattern Recognition
  
• Computer Graphics
  
• Coding Theory
  
• Artificial Intelligence
  
• Virtual Reality
  
• Fuzzy Logic
  
• Advanced Data Bases
  
• Advanced Data Structures
  
• Advanced Theory of Formal Languages
  
• Mathematical Statistics
  
• Combinatorial Theory
  
• Advanced Numerical Analysis
  
• Optimization
  
• Iterative Methods for Nonlinear Equations
  
• Numerical Linear Algebra
  
• Operations Research
  
• Nonlinear Optimization

The faculty members conduct research in the following areas:

• Advanced Processor Technologies,
  
• Bio-Health Informatics,
  
• Formal Methods,
  
• Information Management,
  
• Machine Learning and Optimization,
  
• Software Systems,
  
• Text Mining,
  
• Visual Computing,
  
• Control Theory,
  
• Image Processing,
  
• Neural Networks,
  
• Pattern Recognition,
  
• Computer Graphics,
  
• Fuzzy Logic,
  
• Artificial Intelligence,
  
• Mathematical Statistics,
  
• Optimization,
  
• Iterative Methods for Nonlinear Equations,
  
• Operations Research,
  
• Graph Theory,
  
• Coding Theory,
  
• Theory of Computations,
  
• Analysis of Algorithms,
  
• Numerical analysis
  
• Nonlinear Optimization