PME Master Program

Vision:

To provide strategic leadership in graduate education that advances humanity, supports community, and furthers knowledge to shape the future.

Mission:

To provide professional leaders who advance knowledge and drive innovation towards solving complex national and global challenges in modern electrical power and energy systems with high levels of loyalty, responsibility, and commitment for the sustainable development of the society.

Instructions:
  The Power and Machines Engineering program offers a welcome event at the beginning of the academic year to its new graduate students (including both M.Sc. and Ph.D. students) where they meet the program coordinator and program faculty members to provide them with a brief orientation to the program requirements and study plan. This meeting also serves to introduce the new students to their respective academic advisors who will guide them throughout the duration of their program enrolment.
Dear Student, to ensure timely graduation and avoid registration issues, please follow these instructions:
  1.   
    The typical study program for M.Sc. students in the Power and Machines Engineering Program is distributed over 4 semesters as a study plan.
  2.   
    Required courses are required of all students in the program, elective courses (often referred to as open or free electives) are optional for students, and selected elective courses are those for which students must take one or more courses from a specified group.
  3.   
    Free Elective: Any course within the university.
  4.   
    Before starting the semester, students are advised to review the course syllabus.
  5.   
    The electives course would be offered by the coordinator according to the student's desire, so the students should contact the coordinator a semester ahead.
  6.   
    The students must follow the study plan for each semester.
  7.   
    The course will be offered based on a study plan only with a scheduled time as the previous semester, it cannot be changed.
  8.   
    For any problem with registration please contact the academic advisors.

Curriculum Structure

Program Structure

Required / Elective

No.of Courses

Credit Hours

Percentage

Course

Required

6

16

44.44

Elective

4

12

33.33

Thesis

Required

1

8

22.22

Total

11

39

100
Study Plan

Semester

Course Code

Course Name

Prerequisites

1

EE 629

Advance Numerical Analysis

 

EE 603

Power System Operation and Control

EE 451

EE 604

Power System Dynamics

EE 441

2

IE 694

Engineering Research Skill and Methodology

 

EE 605

Power Network Analysis

EE 451

EE 695

Seminars

Advisors Approval

3

XX xxx

Elective I

Advisors Approval

XX xxx

Electives II

Advisors Approval

XX xxx

Electives III

Advisors Approval

XX xxx

Electives IV

Advisors Approval

4

EE 699

M.Sc. Thesis

Department Approval
Required Courses

Course Code

Course Name

Prerequisite

Course Description

EE 629

Advance Numerical Analysis

 

EE 603

Power System Operation and Control

EE 451

EE 604

Power System Dynamics

EE 441

IE 694

Engineering Research Skill and Methodology

 

EE 605

Power Network Analysis

EE 451

EE 695

Seminar

Advisors Approval

EE 699

M.Sc. Thesis

Department Approval

Elective Courses

Course Code

Course Name

Prerequisite

Course Description

MATH 639

Advanced Engineering Mathematics

Advisors Approval

EE 606

Advanced High Voltage Engineering

Advisors Approval

EE 607

Advanced Power System Analysis

Advisors Approval

EE 608

Generalized Theory of Electrical Machines

Advisors Approval

EE 609

Power System Production

Advisors Approval

EE 610

Advanced Power System Planning and Reliability

Advisors Approval

EE 611

Power Electronics Applications

Advisors Approval

EE 612

Power System Quality

Advisors Approval

EE 613

Transient Phenomena and Insulation Coordination

Advisors Approval

EE 614

High Voltage DC Transmission

Advisors Approval

EE 615

Special Topics in Electrical Power Systems
(Renewable Energy System)

Advisors Approval

EE 616

Special Topics in Electrical Power Systems
(Computational Intelligence in Electric Power)

Advisors Approval

EE 617

Special Topics in Electrical Machines

Advisors Approval

XX xxx

Any Master Course from other Department

Department Approval