• Vision for the Electrical Engineering Department of NGI is to give better and better Electrical Engineers to the society.
  • Draw attention of Electrical Engineering students into research, advanced technology, application and development of Electrical Engineering in society.
  • Develop practical approach among students towards electrical engineering fields rather than exam oriented only.
  • Develop engineers who are original and independent thinkers along with the strong foundation in contemporary electrical engineering, basic science, mathematics, computing and communication.NGI is viewed as the Top Master of Electrical Engineering Junagadh
  • Prepare the students with competencies required by the industries.
  • Develop practical approach among students towards electrical engineering fields to fulfill our goal and approach the vision.
  • Create atmosphere of Burden less study and analytically, research, interesting study of Electrical Engineering Department.
Course Objective

To inculcate in students the conceptual, technical, practical and analytical approach in electrical engineering wherein they are able to develop ability and skills.

Program Outcomes

Students graduating from the Electrical Engineering Department at NGI will be expected and prepared to exercise the skills and abilities  listed below. It also indicates how the Program Outcomes contribute to the Program Educational Objectives.

  1. Ability to apply knowledge of mathematics, science, and engineering.
  2. Ability to design and conduct experiments, as well as to analyze and interpret data.
  3. Ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
  4. Ability to function on multi-disciplinary teams.
  5. Ability to identify, formulate and solve engineering problems.
  6. Understanding of professional and ethical responsibility.
  7. Ability to communicate effectively.
  8. Broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.
  9. Recognition of the need for, and an ability to engage in life-long learning.
  10. Knowledge of contemporary issues.
  11. Ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
  12. Knowledge of probability and statistics, including applications to electrical engineering.
  13. Knowledge of mathematics through differential and integral calculus, and basic science, computer science, and engineering sciences, necessary to analyze and design complex electrical and electronic devices, software, and systems containing hardware and software components, as appropriate to electrical engineering.
  14. Knowledge of advanced mathematics, including differential equations, linear algebra, complex variables, and discrete mathematics.
Head of Department
  • Prof. Rakesh Akabari
    Prof. Rakesh Akabari

    Designation: H.O.D. & Assistant Professor
    Work Experience:
     8 years
    M.E.(Power System), B.E.(Electrical)

Faculty Profile
Results & Time Table
Sem 1
Sem 2
Sem 3
Sem 4
Sem 1
Sem 2
Sem 3
Sem 4
Teaching Scheme
Semester 1
GTU Code Subject Short Name Subject Lect Prac Tutorials Credits
2710710 ALA Applied Linear Algebra 3 0 2 4
2710711 CMPS Computer Methods in Power System Analysis 3 2 0 5
2710702 PE Power Electronics 3 2 0 5
27107XX Major Elective I 3 2 0 5
2170001 RS Research Skills 1 0 2 2

Semester 2
GTU Code Subject Short Name Subject Lect Prac Tutorials Credits
2720714 MCS Modern Control Systems 3 0 2 4
2720715 EMMA Electrical Machine Modeling and Analysis 3 2 0 5
27207YY Major Elective II 3 2 0 5
27207ZZ Major Elective III 3 0 2 4
27207XX Open Elective 3 2 0

Semester 3
GTU Code Subject Short Name Subject Lect Prac Tutorials Credits
Major Elective IV 3 2 2 5
2730004 Seminar 0 0 4 2
2730002 Internal Review 0 0 2 1
2730003 Dissertation Phase – I 0 20 0 10

Semester 4
GTU Code Subject Short Name Subject Lect Prac Tutorials Credits
Major Elective – V 3 0 2 4
2740004 Seminar 0 0 4 2
2740001 External Mid Sem Review 0 0 0 10
2740002 Dissertation Phase II 0 0 0 24

Contact (Departmental)