PhD - Computer and Information Systems Engineering

Tennessee State University (TSU)
United States
Qualification
Doctoral Degree (PhD)
Study mode
Full-time
Duration
5 years
Intakes
August
Tuition fee (local)
Information not available
Tuition fee (foreign)
Information not available

Curriculum

  • Data Structures and Algorithms
  • Computer Architecture and Operating Systems
  • Software Systems Design
  • Systems Engineering
  • Computer Aided Systems Design
  • Computer Communications and Networks
  • Intro to Artificial Intelligence
  • Probability, Statistics, and Risk Analysis 
  • Management of Information Systems 
  • Introduction to Modeling and Simulation 
  • Database Management Systems 
  • Optimization in Operations Research 
  • Computer Communication and Networks II 
  • Distributed Computing Theory and Design 
  • Numerical Visualization 
  • Network Programming 
  • Metrics and Models in Software Quality
  • Engineering 
  • High Performance Computing Applications 
  • Network Security and Risk Analysis
  • Optical Communication 
  • Digital Signal Processing 
  • Digital Image Processing 
  • Object Oriented Programming for Engineering 
  • Control System and Signal Processing
  • Intro. to Artificial Intelligence 
  • Fundamentals of Robotics 
  • Modern Signal Processing 
  • Digital Image Processing I 
  • Advanced Topics in Control Systems 
  • Robust Control Theory 
  • Nonlinear Control Systems 
  • Digital Spectral Analysis 
  • Pattern Recognition and Classification 
  • Statistical Signal Processing 
  • Intelligent Control Systems 
  • Adaptive Filtering and Stochastic Control
  • Systems 
  • Computer Vision
  • Advanced Robotics 
  • A. I. Robotics 
  • Methods of Applied Math for Engineering 
  • Object Oriented Programming for Engr. 
  • Modeling and Simulation of Dynamic Sys. 
  • Special Topics 
  • Robotics and Computer Integrated Manufacturing
  • Introduction to Manufacturing 
  • Vibration Analysis 3
  • Flexible Manufacturing Systems 
  • Intro. to Computational Fluid Dynamics 
  • Computer Aided Design and Manufacturing 
  • Design for Manufacturability 
  • Manufacturing Quality Control and
  • Management 
  • Manufacturing Modeling and
  • Simulation 
  • Predictive and Preventive Maintenance 
  • Concurrent Manufacturing 
  • Methods of Applied Math for Engineers 
  • Object Oriented Programming for Engr. 
  • Modeling and Simulation of Dynamic Syst. 
  • Fundamentals of Robotics 
  • Fundamentals of Robotics in Manufacturing 
  • Manufacturing Diagnosis and Prognosis Tech. 
  • Numerical Visualization 
  • Transport Phenomena in Manufacturing 
  • Advanced Robotics 
  • Mechatronics Systems 
  • A.I. Robotics 
  • Special Topics 
  • Ph.D. Dissertation 

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