Engineering & Computer Science Programmes
Ph.D Computer Science
The Department of Mathematics is one of the two departments under the School of Mathematical and Computer Sciences of the Hajvery University.
The Department of Computer Sciences is one of the two departments under the School of Mathematical and Computer Sciences of the Hajvery University.
Department of Computer Science was established in Hajvery University, in the year 2001, with the objective of imparting quality education in the field of Computer Science. With rapidly evolving technology and the continuous need for innovation the department has always produced quality professionals, holding important positions in Information Technology industry in Pakistan and abroad.
The department started the two years Master of Computer Science programme in the year 2001 with the aim to develop core competence in Computer Science and prepare the students to carry out development work, as well as take up challenges in research.
Besides these the department has strong research interests in diverse branches of Computer Science and offers the MS/MPhil leading to PhD programme aimed at producing quality researchers.
The faculty members of the department are highly qualified with international academic experience, and all of who are committed to advance the Computer Science and Information Technology through instruction and research. The members of the department are also involved in scholarly activities with the aim of extending the frontier of scientific knowledge that benefits the Country and humanity as a whole. Their research results have been disseminated internationally through publication and international and regional conferences. Moreover, some of their research has been supported by national and institutional grants.
The department continues to serve the Pakistan community in various capacities including community outreach programs, professional development activities, and collaborative partnerships with various sectors of the national and international community.
For further information about the department degrees events and activities, please check our web site. The website aims to provide information related to the courses offered currently by the department, as well as introduces the department members.
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Course Objective Open or Close
PROGRAM OBJECTIVE:
The main objective of this program is to offer a research oriented degree according to the need of time considering state-of-the-art technologies. The program offers advanced topics including computation theory, algorithms, software engineering, database systems, computer networks, artificial intelligence, computer vision and formal methods as they are in great demand by high tech companies, firms and educational institutes in need of realigning their programs and operations to meet the challenges of new developments in IT. The university provides a responsive atmosphere for students aiming to excel in research extending them all sort of academic and financial assistance required to get their research work recognized. Specializations: Software Engineering, Formal Methods, Databases, Computer Vision Requirements.
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OVERVIEW Open or Close
Ph.D. Programme:
Admission Requirements:
1. For admission into the PhD minimum CGPA 3.0 (out of 4.0 in the Semester System) or First Division (in the Annual System) in M.Phil/M.S/Equivalent degree is required.
Subject Test:
2. A subject test conducted by the National Testing Service (NTS) or ETS, USA in the area of specialization chosen at the PhD level must be cleared prior to admission for the PhD Program.
a. In the case of GAT Subject test ( http://www.nts.org.pk/GAT/GATSubject.asp) a minimum of 60% marks is required to pass the test.
b. In the case GRE subject test, the minimum score will be acceptable as follows:
i. 45% Percentile Score: Valid for Admissions until December 31, 2010
ii. 50% Percentile Score: Valid for Admissions until December 31, 2011.
iii. 60% Percentile Score: Valid for Admissions thereafter.
c. If the Test is not available in NTS subject list, then a University Committee consisting of at least 3 PhD faculty members in the subject area and approved by the HEC will conduct the Test at par with GRE Subject Test and qualifying score for this will be 70% score.
d. Students admitted in PhD Programs after August 25, 2010 have to submit the requisite GAT Subject or GRE Subject within period of one year that is by October 31, 2011.
Course Work:
3. Course work of 18 credit hours preferably in the first year is required to be completed and followed by a comprehensive examination for granting candidacy as PhD researcher.
Foreign Expert Evaluation:
4. The Ph.D. Dissertation must be evaluated by at least two Ph.D. experts from technologically/academically advanced foreign countries in addition to local Committee members.
Open Defense:
5. An open defense of Dissertation is essential part of PhD Program after positive evaluation.
Research Paper:
6. Acceptance/publication of at least one research paper based on the PhD research in an HEC approved “X” category journal is a requirement for the award of Ph.D. degree (“Y” in case of Social Sciences only).
Plagiarism Test:
7. The Plagiarism Test must be conducted on the Dissertation before its submission to the two foreign experts, as described below.
Copy of PhD Dissertation to HEC:
8. A copy of Ph.D. Dissertation (both hard and soft) must be submitted to HEC for record in Ph.D. Country Directory and for attestation of the PhD degree by the HEC in future.
Conduct of PhD Program:
9. There should be at least 3 relevant full time Ph.D. Faculty members in a department to launch thePh.D. program.
10. The maximum number of Ph.D. students under the supervision of a full time faculty member is five which may be increased to eight under special circumstances in certain teaching departments subject to prior approval of the Higher Education Commission (HEC).
Academic department: School of Mathematics & Computer Science
Contact email: admission@hup.edu.pk
Contact telephone: +92-42-111-777-007 -
Course Outline Open or Close
Courses for Ph.D. 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
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Research Ph.D CS Open or Close
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
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Fee & Financial Aid Open or Close
Fee & Financial Aid
Admission Fee = Rs. 25,000
Monthly Rs. 75,00/-At the time of Admission Rs. 55,000 (4 Months Fee)
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Computer Science Introduction Open or Close
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.
A most exciting aspect of Computer Science is its immediate relevance for our social, commercial and domestic lives. Good ideas developed in universities and laboratories can rapidly influence the development of commercial products – within large international organizations as well as local one-person companies. This practical application of abstract concepts, typically involving co-operation between computer scientists and other specialists, can in turn influence new theoretical developments.
The widespread commercial introduction of concurrent processors, of window interface management and graphic systems, of software packages such as spreadsheets and hypertext, and of computing environments such as World Wide Web, has itself helped to highlight the generality of modern Computer Science.