PhD Computational Science and Engineering – NUST
Course Name: PhD Computational Science and Engineering
Overview: N/A
Number of Semesters: 2
Requirements
MS or minimum 18 years of education from an institution recognized by HECs in any discipline of Engineering, Natural Sciences, Computer Science / Software Engineering, Operation Research, Defense / Strategic Studies, Management Sciences. GAT (Subject) conducted by NTS with at least 60 raw score.
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:
- Foundations of Computing for Computational Science & Engineering
- Computational Linear Algebra& Optimization
- Data Analysis & Statistics
- Applied Mathematics for Computational Science & Engineering
Specialization Courses {Applied Mechanics (Fluid Mechanics/Aerodynamics/Flight Mechanics)}:
- Advanced Incompressible Fluids
- Computational Fluid Dynamics
- Advanced Compressible Fluids
- Non-Newtonian Fluid Mechanics
- Advanced Flight Mechanics
- Boundary Layer Theory
Specialization Courses {Applied Mechanics (Turbomachinery)}:
- Advanced Incompressible Fluids
- Computational Fluid Dynamics
- Turbomachinery
- Mechanics & Thermodynamics of Aircraft Propulsion
- Advanced Combustion
- Advanced Propulsion
Specialization Courses {Applied Mechanics (structural Mechanics)}:
- Advanced Mechanics of Materials
- Finite Element Methods
- Advanced Theory of Vibration
- Theory of Elasticity
- Fracture Mechanics
- Behavior of Materials under impact loading
Specialization Courses (Electrical & Electronic Systems):
- Communication Systems & Networks
- Petri Nets
- Graph Theory
- Advanced Model Checking
- Performance Analysis of Communication Systems
- Performance Analysis of Networks
Specialization Courses (Computer Science):
- Graph Theory
- Petri Nets
- Advanced Model Checking
- Real-Time Systems
- Advanced Computational Biology
Specialization Courses (Bio-informatics):
- Biochemistry
- Advanced Computational Biology
- Statistics in Bioinformatics
- Computational Drug Design
- Methods in Protein Modeling
- Petri Nets
- Molecular Modeling Based Drug Design
Specialization Courses (Computational Biomedical Engineering):
- Anatomy and Physiology for CSE
- Electrophysiology and Bioelectricity
- Computational Modeling of Physiological Systems
- Electromagnetic Based Therapeutic and Diagnostic Techniques
- Biomechanics
- Analysis of Biomechanical Systems