Computer Science Engineering

The Computer science engineering program aims to broaden their knowledge in cutting edge computing areas through learning from the well-articulated advanced compulsory and optional modules. Further, the master degree of computer engineering covers both hardware and software elements of the computing systems and other relative topics. After completion of the master degree, an applicant can apply for Ph.D. in Computer Science Engineering. Particularly, the doctoral degree in computer science covers important topics like design and implementation of computing systems(principles, method, and modern tools), smaller and higher performance computing system.

The following Table.1 master degree includes core and optional modules include:

COMPULSORY UNITS

OPTIONAL UNITS

  • Converged Networks and Services
  • Digital Signal Processing
  • Fundamentals of computer science
  • Fundamentals: Databases
  • High Level Logic Design
  • Introduction to Human-Computer Interaction
  • Operating Systems and Networks Professional Practice and Research Methodology
  • Programming Embedded Systems
  • Project and Dissertation

  • Advanced Embedded Systems Design
  • Artificial Neural Networks
  • Constraint Satisfaction for Decision Making
  • Creating and Growing a New Business Venture
  • Cryptography
  • Electronic System Design & Integration
  • Evaluation Methods and Statistics
  • Fundamentals: Software Engineering
  • Intelligent Data Analysis
  • Intelligent Systems and Robotics
  • Introduction to Neural Computation
  • Machine Learning
  • Mobile Communications

Ph.D. in Computer Science Engineering Research areas

  • Algebraic and Categorical Structures and Methods
  • Algorithm Design, Analysis, and Engineering
  • Bioinformatics
  • Computational Complexity of Algebraic Structures
  • Deduction, Rewriting, and Transformation
  • Financial Computing and Analytics
  • Human Centred Systems
  • Information Security
  • Intelligent Systems
  • Interaction Design and Evaluation of Socio-Technical Systems
  • Media Futures
  • Models of Software Intensive Systems
  • Programming Principles, Logic and Verification Group
  • Software Evolution
  • Software Systems Engineering
  • Systems and Networks
  • Verification and Validation
  • Virtual Environments and Computer Graphics
  • Vision and Imaging Science

Industries in Computer Science & Information Technology


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