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PhD Computer Engineering – NUST

April 14, 2015

Course Name:    PhD Computer Engineering

Overview:    

The objective of the program is to train students to contribute to advanced computer engineering technology research and to apply emerging research results for development of computer systems. Graduates will have advanced knowledge and skills to perform more effectively in the application, evaluation, design and technical competence in the foundation areas of computer systems engineering. The subjects with modular course structure are taught by leading researchers. The courses focus on coherent computer systems in engineering themes, providing a balance, coordinated and application-oriented coverage of up to- date topics.

Number of Semesters:    2

Requirements

  • For admission into the PhD minimum CGPA 3.0/4.0.
  • A subject test conducted by the National Testing Service (NTS).
  • In the case of GAT Subject test a minimum of 60% marks is required to pass the test.
  • 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.

Course Duration:     N/A

How to apply:

Application

• Access web-link: www.pgadmission.nust.edu.pk • Fill online application form. • Upload scanned copies of required documents.

Application Confirmation

• Application confirmation will be sent at the given email address within 24 hours of submission.

Application Fee

• Deposit Application Fee online in any HBL branch.

Fee Receipt

• Fee confirmation will be sent at the given email address within 15 days of payment.

Application Status

• Application status would be communicated through email/website within 2 days of documents receipt.

Interview Calls

• Eligible candidates and those who qualify GAT-Gen or relevant tests will be asked to appear for interviews.

Interviews

• Candidates would appear for interviews at the concerned School/College/Center in July 2014.

Selection List

• Selection list will be uploaded on NUST website by the mid of August 2014.

Admission Dues

• Candidates will deposit admission dues in any HBL branch as per challan form available online.

Document Submission

• Candidates will prepare documents as per given checklist available online and will submit to the PGP Directorate, Main Office NUST. • All original documents, Medical Certificate and Affidavit will be submitted to the respective Schools/Colleges/Centers at the time of joining.

Joining Instructions

• Relevant NUST School/College/Center will issue joining instructions to those candidates who have completed all admission requirements.

• Successful candidates will join relevant programs as per joining instructions in 2nd week of September 2014.

Curriculum:

CORE COURSES

Subjects                            Credit Hours

Advanced Digital System Design                    3

Advanced Computer Architecture                    3

Advanced Digital Signal Processing                    3

Thesis                                    6

ADDITIONAL COURSE

Subjects                            Credit Hours

Research Methodology                        2

ELECTIVE COURSES

Subjects                            Credit Hours

Digital Communication                        3

Advanced Operating System                        3

Digital Image Processing                        3

Advanced Software Engineering                    3

Numerical Analysis                            3

Parallel Processing Computer Systems                3

Pattern Recognition and Analysis                    3

Adaptive Control                            3

Analysis of Stochastic System                    3

Wireless Communication                        3

Computer Vision                            3

Selected Topics in Computer Network and Distributed Systems    3

Research Methodologies                        3

Advanced Topics in Wireless Networks                3

Bio-inspired Telecommunications                    3

Advanced Object Oriented Analysis and Design            3

Machine Learning                            3


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