Contact Information

  • location_on
    Mesra, Ranchi, Jharkhand 835215, India
  • call
    (0651) 2275444, 2275896
  • mail_outline
    (0651) 2275401
  • email
  • web_asset
  • Approved By: UGC AICTE NAAC NBA

M.E. (Control Systems)


Duration:

2 Years

Eligibility:

Graduation

Course Duration: Two Year (Semester  System)

Course Eligibility : B.E./B.Tech.  with at least 50 % marks or Equivqlent CGPA

Admission Criteria: Merit in qualifying examination, subject to eligibility criteria.

Entrance/Eligibility Test: As per University Rules

Programme Mode: Regular

Course Syllabus

Semester – I

Course Code

Course Title

EE 9102

Digital Signal Processing

EE 9103

Soft Computing Techniques

EE 9105

Project Engineering & Management

EE 9106

Advanced Electrical Machines

EE 9107

Advanced Microprocessors

EE 9108

Computer Aided Control System Design

EE 9109

Advanced Power Electronics

EE 9110

Machine Electronics

EE 9111

System Approach to Management

EE 9117

Stochastic Processes

EE 9118

Optimal Control Systems

EE 9101

Modern Control Theory

EE 9104

Optimization in Engineering Design

EE 9119

Control System Design

EE 9121

Microprocessor Applications

EE 9123

Systems Biology

EE 9125

Neural Network & Applications

EE 9126

Discrete Data Control Systems

EE 9127

Estimation and Identification Techniques

EE 9128

Non Linear Control Systems

EE 9120

Non-linear and Discrete Control Systems

EE 9122

Robotics and A.I.

EE 9124

Fuzzy Logic Control

Sessional Courses

EE 9112

Digital Signal Processing Laboratory

EE 9113

Control System Laboratory

EE 9114

Electrical Machine Laboratory

EE 9116

Seminar in Electrical Engineering

EE 9115

Industrial Electronics Appli.& Design Sess.

 

Semester – II

EE 9125

Neural Network & Applications

EE 9126

Discrete Data Control Systems

EE 9101

Modern Control Theory

EE 9102

Digital Signal Processing

EE 9103

Soft Computing Techniques

EE 9104

Optimization in Engineering Design

EE 9105

Project Engineering & Management

EE 9106

Advanced Electrical Machines

EE 9107

Advanced Microprocessors

EE 9108

Computer Aided Control System Design

EE 9109

Advanced Power Electronics

EE 9110

Machine Electronics

EE 9111

System Approach to Management

EE 9117

Stochastic Processes

EE 9118

Optimal Control Systems

EE 9119

Control System Design

EE 9120

Non-linear and Discrete Control Systems

EE 9121

Microprocessor Applications

EE 9122

Robotics and A.I.

EE 9123

Systems Biology

EE 9124

Fuzzy Logic Control

EE 9127

Estimation and Identification Techniques

EE 9128

Non Linear Control Systems

Sessional Courses

EE 9129

Advanced Control Systems Laboratory

EE 9130

Microprocessor Laboratory

EE 9131

Robotics and A.I. Lab.

EE 9132

Soft Computing  Lab.