The Electrical Engineering program offered by the Department of Electrical and Computer Engineering is appropriate to the University mission and its design and composition as well as its delivery and assessment of learning outcomes are in accordance with international academic norms. There is a regular process of assessment and evaluation and the results of such evaluation are regularly utilized for continuous improvement of the program. Its program learning outcomes are appropriate to the level of qualifications awarded and are consistent with the UAE Qualification Framework (QFEmirates).
The EE program requires a total of 142 credit hours for graduation. This includes 3 credit hours of 16 weeks of practical training (internship) in engineering organization. The remaining 139 credit hours of course work are distributed over 8 full semesters and one summer semester. Accordingly, a student can complete all the requirements for graduation in a period of four years. For graduation, a student must have cumulative GPA of at least 2.0.
The EE Program Goals, also referred to as Program Educational Objectives (PEOs), are stated below.
Graduates of EE program shall be:
Subject Proficiency Requirement
Full Admission:Conditional Admission:
Applicants with an average of 70% to 79% in Mathematics, Physics, and Biology or Chemistry will be required to pass a remedial course in the respective subject(s) where the score is below 80%.
Full Admission:
- A minimum score of 80% in the English subject, or its equivalent in other curriculums.
Conditional Admission:
Applicants scoring between 75% and 79% in the English subject will be conditionally admitted, provided they meet one of the following requirements:
1) Pass a remedial English course during the first semester, or
2) Submit an English proficiency test score before the start of the first semester:
- TOEFL: 500 (61 iBT or 173 CBT); or
- IELTS Academic: 5; or
- IESOL: B1; or
- Equivalent scores in other MOE-approved English proficiency tests (subject to evaluation).
Equivalent qualifications from other educational systems are accepted, see Student Handbook for more details.
For further information, please refer to the university admissions policy. More admission Information can found in the following links:
https://www.ajman.ac.ae/en/admissions/undergraduate/student-handbook
https://www.ajman.ac.ae/en/admissions/undergraduate/undergraduate-admission-policy
https://www.ajman.ac.ae/en/admissions/undergraduate/undergraduate-admission-process
Graduates of the program of BSc in electrical engineering can pursue careers in a wide range of industries and services, including but not limited to:
The Bachelor of Science degree is awarded upon the fulfillment of the following:
|
a. Program title |
Bachelor of Science in Electrical Engineering |
|||
|
b. Date of initial program: |
1988 (5-year program)
|
|||
|
c. Date of renewal local accreditation: |
1995,2001 Electronics and Communication concentrations (5-years Program)
2006 (4-year program ) Initial Accreditation for Instrumentation and Control concentration |
2011 (4-year program ) Electronics, Communication, Instrumentation & Control concentrations |
2017 (4-year program ) Initial Accreditation for Power & Renewable Energy concentration and Electronics &Communication concentration |
2023 (4-year Program) Accreditation of new Electrical Engineering program without concentration |
|
d. Due date of next reaccreditation |
30 April 2029 |
|||
|
e. Date of international accreditation |
ABET: August 2017 (2017-2018 cycle)
Accredit to 30 September 2024
(effective from Oct. 2016)
|
|||
|
f. Due date of next international reaccreditation |
Submission of ABET SSR Report 01 July 2023
|
|||
The Program Outcomes (POs) are also referred to as Student Outcomes (SOs). To combine both terminologies, these outcomes may also be referred to as Student/Program Outcomes. The EE program has nine Program Outcomes, stated as 1 to 9, as given below.
PLO#1: An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
PLO#2: An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
PLO#3: An ability to communicate effectively with a range of audiences.
PLO#4: An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
PLO#5: An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
PLO#6: An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
PLO#7: An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
PLO#8: An ability to demonstrate broad knowledge in the field of electrical engineering and related areas.
PLO#9 An ability to demonstrate knowledge of innovation, entrepreneurship, and sustainability practices
The Program Goals, based on the needs of its constituents, are broad statements. On the other hand, the Program or Student Outcomes (POs or SOs), derived from Program Goals, are defined in measurable terms and represent the abilities and attributes of students at the time of their graduation. Accordingly, there must be a well-defined relationship between Program Outcomes and Program Goals as the former will assist in attaining the latter. For the EE program, this relationship is given in Table 1 which shows how SOs will prepare graduates to attain the Program Goals.
Table 1: Relationship of Program Outcomes and Program Goals
|
Program Outcomes |
Program Goals (Abbreviated) |
|||
|
Goal #1 Productively contributing in EE Profession |
Goal #2 Updating their knowledge and abilities |
Goal #3 Ethical and professional community engagement |
Goal #4 Pursuing graduate studies |
|
|
1 |
X |
|
|
X |
|
2 |
X |
|
|
X |
|
3 |
X |
|
|
X |
|
4 |
|
|
X |
|
|
5 |
X |
|
|
|
|
6 |
X |
|
|
X |
|
7 |
|
X |
|
X |
|
8 |
X |
X |
|
X |
|
9 |
|
X |
|
X |
The rationale for the above table is as follows:
Goal #1: The most relevant program outcomes are those related to technical competence, i.e. 1, 2, 6, and 8. Program outcomes 3 and 5 are relevant because teamwork and effective communication play an important role in professional environment.
Goal #2: Program outcomes 7,8 and 9 are relevant because with their current knowledge and skills as well as ability for life-long learning, graduates will be able to continually update their knowledge and skills.
Goal #3: Program outcome 4 is relevant since in addition to an understanding of professional and ethical responsibility, it is also important to have knowledge of contemporary issues and the impact of engineering solutions while engaging with the community at different levels.
Goal #4: For graduate studies all program outcomes related to technical competence, i.e. 1,2,6, and 8 are relevant. In addition, outcomes 3 ,7 and 9 are important because they relate to communication skills and self-learning ability.
The EE program is an undergraduate degree program which as per QFEmirates Framework is a Level 7 qualification. Table 1 demonstrate the mapping of the EE program PLOs to UAENQF LEVEL 7 descriptors.
Table 1: Alignment of Program Outcomes to QFEmirates (full statements)
|
Program Learning Outcomes |
Knowledge, Skills, and Aspects of Competence that the PLOs Provide in relation to the QF-Emirates Level 7 Descriptors |
|
PLO-1: an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
|
Knowledge (K): K1:Specialized factual and theoretical knowledge and an understanding of the boundaries in a field of work or discipline, encompassing a broad and coherent body of knowledge and concepts, with substantive depth in the underlying principles and theoretical concepts. K4:A comprehensive understanding of critical analysis, research systems and methods, and evaluative problem-solving techniques Skill (SK): SK1:Technical, creative, and analytical skills appropriate to solving specialized problems using evidentiary and procedural-based processes in predictable and new contexts that include devising and sustaining arguments associated with a field of work or discipline. SK2:Evaluating, selecting, and applying appropriate methods, procedures, or techniques in processes of investigation toward identified solutions |
|
PLO-2: an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors |
Skill (SK): SK1:Technical, creative, and analytical skills appropriate to solving specialized problems using evidentiary and procedural-based processes in predictable and new contexts that include devising and sustaining arguments associated with a field of work or discipline. SK2:Evaluating, selecting, and applying appropriate methods, procedures, or techniques in processes of investigation toward identified solutions SK3:Evaluating and implementing appropriate research tools and strategies associated with the field of work or discipline. Self-development (SD): SD3: Can contribute to and observe ethical standards.
|
|
PLO-3: an ability to communicate effectively with a range of audiences |
Skill (SK): SK4:Highly developed advanced communication and information technology skills to present, explain and/or critique complex and unpredictable matters Autonomy and responsibility (AR): AR4:Can express an internalized, personal view, and accepts responsibility to society at large and to sociocultural norms and relationships |
|
PLO-4: an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |
Knowledge (K): K2:An understanding of allied knowledge and theories in related fields of work or disciplines and in the case of professional disciplines including related regulations, standards, codes, conventions Autonomy and responsibility (AR): AR2:Can manage technical, supervisory or design processes in unpredictable, unfamiliar, and varying contexts AR4:Can express an internalized, personal view, and accepts responsibility to society at large and to sociocultural norms and relationships Self-development (SD): SD3: Can contribute to and observe ethical standards. |
|
PLO-5: an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives |
Autonomy and responsibility (AR): AR3:Can work creatively and/or effectively as an individual, in team leadership, managing contexts, across technical or professional activities Role in context (RC): RC1:Can function with full autonomy in technical and supervisory contexts and adopt para-professional roles with little guidance RC2:Can take responsibility for the setting and achievement of group or individual outcomes and for the management and supervision of the work of others or self in the case of specialization in a field of work or discipline RC3:Can participate in peer relationships with qualified practitioners and lead multiple, complex groups RC4:Can take responsibility for managing the professional development and direct mentoring of individuals and groups |
|
PLO-6: an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
Skill (SK): SK2:Evaluating, selecting, and applying appropriate methods, procedures, or techniques in processes of investigation toward identified solutions SK3:evaluating and implementing appropriate research tools and strategies associated with the field of work or discipline. |
|
PLO-7: an ability to acquire and apply new knowledge as needed, using appropriate learning strategies |
Knowledge (K): K3: Understanding of critical approach to the creation and compilation of a systematic and coherent body of knowledge and concepts gained from a range of sources K5: Familiarity with sources of current and new research and knowledge with the integration of concepts from outside fields
Autonomy and responsibility (AR): AR1:Can take responsibility for developing innovative and advanced approaches to evaluating and managing complex and unpredictable work procedures and processes, resources, or learning
Self-development (SD): SD1:Can self-evaluate and take responsibility for contributing to professional practice, and undertake regular professional development and/or further learning SD2:Can manage learning tasks independently and professionally, in complex and sometimes unfamiliar learning contexts |
|
PLO8: An ability to explain and apply specialized knowledge in the field of electrical engineering and related areas. |
Knowledge (K): K1:Specialized factual and theoretical knowledge and an understanding of the boundaries in a field of work or discipline, encompassing a broad and coherent body of knowledge and concepts, with substantive depth in the underlying principles and theoretical concepts K2:An understanding of allied knowledge and theories in related fields of work or disciplines and in the case of professional disciplines including related regulations, standards, codes, conventions Skill (SK): SK2: Evaluating, selecting, and applying appropriate methods, procedures, or techniques in processes of investigation towards identified solutions. |
|
PLO9: An ability to demonstrate knowledge of innovation, entrepreneurship, and sustainability practices. |
Knowledge (K): K2:An understanding of allied knowledge and theories in related fields of work or disciplines and in the case of professional disciplines including related regulations, standards, codes, and conventions. K5:Familiarity with sources of current and new research and knowledge with integrating of concepts from outstate fields. |
Table 2: Alignment of Program Outcomes to QFEmirates
| National Standards of Learning Outcomes for Bachelor level Program (QF-Emirates Level 7) |
Program Learning Outcomes |
|||||||||
|
PLO1 |
PLO2 |
PLO3 |
PLO4 |
PLO5 |
PLO6 |
PLO7 |
PLO8 |
PLO9 |
||
|
I. Knowledge |
||||||||||
|
K1:Specialized factual and theoretical knowledge and an understanding of the boundaries in a field of work or discipline, encompassing a broad and coherent body of knowledge and concepts, with substantive depth in the underlying principles and theoretical concepts. |
X |
|
|
|
|
|
|
X |
|
|
|
K2:An understanding of allied knowledge and theories in related fields of work or disciplines and in the case of professional disciplines including related regulations, standards, codes, conventions. |
|
|
|
X |
|
|
|
X |
X |
|
|
K3:Understanding of critical approach to the creation and compilation of a systematic and coherent body of knowledge and concepts gained from a range of sources. |
|
|
|
|
|
|
X |
|
|
|
|
K4:A comprehensive understanding of critical analysis, research systems and methods and evaluative problem-solving techniques. |
X |
|
|
|
|
|
|
|
|
|
|
K5:Familiarity with sources of current and new research and knowledge with integration of concepts from outside fields. |
|
|
|
|
|
|
X |
|
X |
|
|
II. Skill |
||||||||||
|
SK1:Technical, creative and analytical skills appropriate to solving specialized problems using evidentiary and procedural based processes in predictable and new contexts that include devising and sustaining arguments associated with a field of work or discipline. |
X |
X |
|
|
|
|
|
|
|
|
|
SK2:Evaluating, selecting and applying appropriate methods, procedures or techniques in processes of investigation towards identified solutions. |
X |
X |
|
|
|
X |
|
X |
|
|
|
SK3:Evaluating and implementing appropriate research tools and strategies associated with the field of work or discipline. |
|
X |
|
|
|
X |
|
|
|
|
|
SK4:Highly developed advanced communication and information technology skills to present, explain and/or critique complex and unpredictable matters. |
|
|
X |
|
|
|
|
|
|
|
|
III. Aspects of Competence: |
||||||||||
|
III. a. Autonomy and Responsibility |
||||||||||
|
AR1:Can take responsibility for developing innovative and advanced approaches to evaluating and managing complex and unpredictable work procedures and processes, resources or learning. |
|
|
|
|
|
|
X |
|
|
|
|
AR2:Can manage technical, supervisory or design processes in unpredictable, unfamiliar and varying contexts. |
|
|
|
X |
|
|
|
|
|
|
|
AR3:Can work creatively and/or effectively as an individual, in team leadership, managing contexts, across technical or professional activities. |
|
|
|
|
X |
|
|
|
|
|
|
AR4:Can express an internalized, personal view, and accepts responsibility to society at large and to socio-cultural norms and relationships. |
|
|
X |
X |
|
|
|
|
|
|
|
III. b. Role in Context |
||||||||||
|
RC1:Can function with full autonomy in technical and supervisory contexts and adopt para-professional roles with little guidance. |
|
|
|
|
X |
|
|
|
|
|
|
RC2:Can take responsibility for the setting and achievement of group or individual outcomes and for the management and supervision of the work of others or self in the case of a specialization in field of work or discipline. |
|
|
|
|
X |
|
|
|
|
|
|
RC3:Can participate in peer relationships with qualified practitioners and lead multiple, complex groups |
|
|
|
|
X |
|
|
|
|
|
|
RC4:Can take responsibility for managing the professional development and direct mentoring of individuals and groups. |
|
|
|
|
X |
|
|
|
|
|
|
III. c. Self-development |
||||||||||
|
SD1:Can self-evaluate and take responsibility for contributing to professional practice, and undertake regular professional development and/or further learning. |
|
|
|
|
|
|
X |
|
|
|
|
SD2:Can manage learning tasks independently and professionally, in complex and sometimes unfamiliar learning contexts. |
|
|
|
|
|
|
X |
|
|
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SD3:Can contribute to and observe ethical standard. |
|
X |
|
X |
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|
The B.Sc. degree in Electrical Engineering requires the completion of 139 Cr. Hrs of course work, distributed according to the following plan, plus 3 credit hours of practical training or internship (total of 142 credit hours):
The B.Sc. degree in Electrical Engineering requires the completion of 142 credit hours distributed according to the following structure:
|
Type of Courses |
Credit/hour |
|
1. University General Education Courses |
|
|
(a) University Compulsory Courses |
15 |
|
(b) University Program Required Courses |
9 |
|
(b) University Elective Courses |
6 |
|
2. EE Program Requirements |
|
|
(a) EE College Required Courses |
27 |
|
(b) EE Core Courses |
70 |
|
(c) EE Elective Courses |
12 |
|
(d) Internship (Training) |
3 |
|
Total Credit Hours |
142 |
University General Education Courses
University compulsory courses (15 Cr. Hrs.)
|
Course No. |
Course Title |
Th |
Lab |
Tut |
Cr. Hrs |
Prerequisite |
|
ISL114 |
Islamic Culture |
3 |
0 |
1 |
3 |
- |
|
ARB113 |
Arabic Written Expression |
3 |
0 |
0 |
3 |
- |
|
EMS 112 |
Emirates Studies |
3 |
0 |
0 |
3 |
- |
|
ENG 113 |
Academic Writing |
3 |
0 |
0 |
3 |
- |
|
INN311 |
Innovation and Entrepreneurship |
2 |
2 |
0 |
3 |
66 Cr. Hrs. |
EE University General Education courses (Natural Sciences) (6 Credit Hours)
|
Course No. |
Course Title |
Th |
Lab |
Tut |
Cr. Hrs |
Prerequisite |
|
ENV113 |
Science of Energy and Global Environment |
3 |
0 |
0 |
3 |
- |
|
CHM 111 |
General Chemistry |
2 |
2 |
0 |
3 |
|
EE University General Education course (Quantitative and Technology) (3 Credit Hours)
|
Course No. |
Course Title |
Th |
Lab |
Tut |
Cr. Hrs |
Prerequisite |
|
STA 114 |
General Statistics |
2 |
2 |
0 |
3 |
- |
University Elective General Education Courses (6 Cr. Hrs.)
|
Course No. |
Course Title |
Th |
Lab |
Tut |
Cr. Hrs |
Prerequisite |
|
1. Humanities / Arts (3 Credit Hours) |
||||||
|
ART 113 |
Introduction to Performing Arts |
3 |
0 |
0 |
3 |
- |
|
FRE 212 |
Francophone world: Language and Culture |
3 |
0 |
0 |
3 |
- |
|
ART 112 |
Introduction to Aesthetics |
3 |
0 |
0 |
3 |
- |
|
ART 111 |
Introduction to Art |
3 |
0 |
0 |
3 |
- |
|
ISH 211 |
Islamic Civilization |
3 |
0 |
0 |
3 |
- |
|
LAW 262 |
Human Rights |
3 |
0 |
0 |
3 |
- |
|
WLT 111 |
World Literature |
3 |
0 |
0 |
3 |
- |
|
2. Social or Behavioral Sciences (3 Credit Hours) |
||||||
|
THI 211 |
Critical Thinking |
3 |
0 |
0 |
3 |
- |
|
INF112 |
Media Culture |
3 |
0 |
0 |
3 |
- |
|
SSW 111 |
Social Responsibility |
3 |
0 |
0 |
3 |
- |
|
LAW 112 |
Work Ethics |
3 |
0 |
0 |
3 |
- |
|
PSY 111 |
General Psychology |
3 |
0 |
0 |
3 |
- |
|
LED 111 |
Leadership and Team Building |
3 |
0 |
0 |
3 |
- |
Electrical Engineering Program Compulsory Courses
EE College Required Courses (27 Cr. Hrs.)
|
Course No. |
Course Title |
Th |
Lab |
Tut |
Cr. Hrs |
Prerequisite |
|
MTH121 |
Engineering Mathematics I |
3 |
0 |
2 |
3 |
|
|
MTH122 |
Engineering Mathematics II |
3 |
0 |
2 |
3 |
MTH121
|
|
MTH221 |
Engineering Mathematics III |
3 |
0 |
2 |
3 |
MTH122 |
|
MTH223 |
Engineering Math. IV |
3 |
0 |
2 |
3 |
MTH221 |
|
PHY121 |
Engineering Physics I |
3 |
2 |
2 |
4 |
|
|
PHY122 |
Engineering Physics II |
3 |
2 |
2 |
4 |
PHY 121 |
|
COE202 |
Programming for Engineering I |
2 |
2 |
0 |
3 |
|
|
ELE 102 |
Introduction to Engineering |
1 |
0 |
1 |
1 |
|
|
ELE 410 |
Engineering Management |
3 |
0 |
0 |
3 |
ENG 113 |
EE Core Courses (70 Cr. Hrs.)
|
Course No. |
Course Title |
Th. |
Lab. |
Tut. |
Cr. Hrs. |
Prerequisite |
|
COE242 |
Digital Logic Design |
3 |
2 |
2 |
4 |
- |
|
COE212 |
Programming for Engineering II |
2 |
2 |
0 |
3 |
COE202 |
|
COE213 |
Introduction to Matlab |
1 |
0 |
0 |
1 |
COE202 |
|
ELE203 |
Circuit Analysis I |
3 |
2 |
2 |
4 |
PHY122 |
|
ELE205 |
Electronic Devices & Circuits I |
3 |
2 |
2 |
4 |
ELE203 |
|
ELE204 |
Signal and Systems |
3 |
0 |
2 |
3 |
MTH221 |
|
EL208 |
Circuit Analysis II |
2 |
2 |
2 |
3 |
ELE203 |
|
ELE319 |
Electronic Devices & Circuits II |
2 |
2 |
2 |
3 |
ELE205 |
|
ELE302 |
Principles of Communications |
3 |
2 |
2 |
4 |
ELE204 |
|
ELE303 |
Electromagnetic Fields & Wave Propagation |
3 |
0 |
2 |
3 |
PHY122, MTH221 |
|
ELE307 |
Control Systems |
3 |
2 |
2 |
4 |
ELE204 |
|
ELE316 |
Design with Integrated Circuits |
2 |
2 |
0 |
3 |
ELE319 |
|
ELE314 |
Microcontrollers and Applications |
3 |
2 |
0 |
4 |
COE202, COE242 |
|
ELE318 |
Modern Sensors |
2 |
0 |
0 |
2 |
ELE319 |
|
ELE320 |
Power Electronics |
2 |
2 |
0 |
3 |
ELE208, ELE319 |
|
ELE317 |
Computer Aided Design for Electrical Engineering |
1 |
2 |
0 |
2 |
COE212, ELE205 |
|
ELE315 |
Electrical Machines & Power System |
3 |
2 |
0 |
4 |
ELE208 |
|
ELE304 |
Probability and Random Variables |
3 |
0 |
2 |
3 |
MTH122 |
|
ELE465 |
Senior Seminar |
1 |
0 |
0 |
1 |
ENG 113 |
|
ELE415 |
Comp. Communication and Networks |
2 |
2 |
0 |
3 |
COE242 |
|
ELE 466 |
Machine Learning |
2 |
2 |
0 |
3 |
COE242 and ELE 304 |
|
ELE494 |
Capstone Project I |
1 |
4 |
0 |
3 |
99 Hours |
|
ELE495 |
Capstone Project II |
1 |
4 |
0 |
3 |
ELE494 |
Electrical Engineering Elective Courses (12 Cr. Hrs.)
List of Elective EE Courses (four courses)
|
Course No. |
Course Title |
Th. |
Lab. |
Tut. |
Cr. Hrs. |
Prerequisite |
|
ELE412 |
Advanced Communication Systems |
3 |
0 |
0 |
3 |
ELE302, ELE303 |
|
ELE444 |
Digital Communication |
3 |
0 |
2 |
3 |
ELE302, ELE304 |
|
ELE413 |
Microwave Engineering |
3 |
0 |
2 |
3 |
ELE303 |
|
ELE450 |
Digital Signal Processing |
3 |
0 |
0 |
3 |
ELE204 |
|
ELE441 |
Optoelectronics and Optical Communication |
3 |
0 |
0 |
3 |
ELE319 |
|
ELE421 |
VLSI Design |
3 |
0 |
0 |
3 |
ELE319, COE242 |
|
COE321 |
Digital System Design |
3 |
2 |
0 |
4 |
COE242 |
|
ELE414 |
Nano Devices and Systems |
2 |
1 |
0 |
3 |
ELE319 |
|
ELE462 |
Industrial Control Systems |
2 |
2 |
2 |
3 |
ELE307 |
|
ELE463 |
Renewable Energy Systems |
3 |
2 |
0 |
4 |
ELE315 |
|
ELE470 |
Power System Protection and Control |
3 |
0 |
0 |
3 |
ELE315, ELE307 |
|
ELE464 |
Power System Analysis |
3 |
0 |
0 |
3 |
ELE315 |
|
ELE477 |
Smart Grid Renewable Energy Systems |
3 |
0 |
0 |
3 |
ELE463 |
|
ELE411 |
Power Generation, Transmission and Distribution |
3 |
0 |
0 |
3 |
ELE315 |
|
ELE416 |
Selected Topics in Electrical Engineering |
3 |
0 |
0 |
3 |
ELE302, ELE319, ELE315 |
|
COE361 |
Network Protocol and Security |
3 |
0 |
2 |
4 |
ELE415 |
Electrical Engineering Four-Year Interactive Study Plan (2023) |
| Instrumentation and Control Study Plan |
| Electronics and Communication Study Plan |
| Power and Renewable Energy Study Plan |
The Minor in electrical engineering is open to undergraduate students enrolled before 2023 in Biomedical or Computer Engineering programs offered at Ajman University. There are some basic core courses that are common between these three programs. Having taken these basic core courses in their own programs, students who are major in the biomedical and computer engineering programs will have the required foundation to expand their knowledge and skills in electrical engineering by taking some courses in this discipline, thus enabling them to get a minor in electrical engineering. The courses in the study plan of minor in electrical engineering are designed such that students taking this minor will not need to take any additional course just for the sake of meeting the pre-requisite requirements.
Study Plan
The specified courses for minor in electrical engineering are given in the following table. These courses were selected after considering the study plans of biomedical engineering (BME) and computer engineering (CE) programs at Ajman University to ensure that students of these two programs have the required pre-requisite courses to take the courses needed for obtaining a minor in electrical engineering.
|
Course ID |
Course Title |
Credit Hrs. (Th, Lab) |
Pre-requisite(s) |
|
ELE207 |
Circuit Analysis II |
4 (3,2) |
Circuit Analysis I (ELE203)
|
|
ELE206 |
Engineering Analysis |
3 (3,0) |
Computer Programming (ELE101) |
|
ELE302 OR ELE307 |
Principles of Communication OR Control Systems |
4 (3,2) |
Signals and Systems (ELE204) |
|
ELE305 |
Electronic Devices and Circuits II |
4 (3.2) |
Electronic Devices and Circuits I (ELE205) |
|
ELE312 |
Power Systems and Electrical Machines |
4 (3,2) |
Circuit Analysis II (ELE207) |
Admission and Completion Requirements
The requirements for a minor in electrical engineering are summarized below:
Basic properties of semiconductor materials. Theory of operation and applications of p-n junction diodes, Zener diodes and photodiodes. Theory of operation, biasing circuits, and small signal analysis of Bipolar Junction Transistor and Junction Field Effect Transistor. Transistor configurations and two-port network representation of transistor A.C. equivalent circuits. Analysis and design of transistor amplifier circuits.
Prerequisite: ELE203
Applications of operational amplifiers including data conversion, inverting, non-inverting amplifiers, and operational amplifier-based circuit analysis. Principle of negative and positive feedback, and oscillators circuits. Principles of filtering and active filter design in time and frequency domains. Power amplifier classes and efficiency. Design of digital logic circuits using CMOS technology
Prerequisite: ELE205
A review of Op-Amps and Digital IC families. Design of analog signal conditioning circuits. Op-amp applications. Design of systems for measuring and displaying the measured values on LEDs. Applications of ADC, DAC, and counter ICs. Design of signal generators. Applications of commonly used ICs such as VCO
Prerequisite: ELE319
Introduction to VLSI design. Review of MOSFET and basic logic gates in CMOS. CMOS gates time delay, CMOS layers, designing FET arrays, stick diagrams, layouts of CMOS circuits. Fabrication of CMOS ICs. Advanced techniques in CMOS logic circuits. DRAM, SRAM, ROM designs.
Prerequisites: ELE319, COE242
Optical properties and processes in semiconductors. Photoconductors and p-n junction based light detectors. Optical sources. LEDs and laser diodes, structure and principles of operation. Hetero junction-based, high efficiency configurations, optical amplifiers. Optical waveguide fundamentals. Classification and optical link related properties of optical fibers. Optical communication system components, architecture, and standards. Optical networks
Prerequisites: ELE205, ELE303
This course aims to develop students’ understanding of discrete and continuous-time signals and systems, and their analysis in both time and transform domains. It further enhances their skills in analyzing such systems using computer-based simulation tools.
Prerequisite: MTH221
Introduction to fundamentals of communication systems. Amplitude Modulation (AM): Modulation index, spectrum of AM signals, AM circuits. Single side band modulation, frequency division multiplexing. Frequency Modulation (FM): Spectrum of FM signals, FM circuits. FM versus AM. Sampling, quantization, coding, pulse code modulation, delta modulation, time division multiplexing. Shift Keying methods.
Prerequisite: ELE204
Electrostatics: Coulomb’s Law, Gauss’s Law. Electric fields in material space, Polarization in Dielectrics. Ampere’s Law, Stoke’s Theorem. Time-varying Fields, Faraday’s Law, Maxwell’s Equations in point form, Maxwell's equations in integral form, boundary conditions. Wave equation, plane wave propagation, Poynting vector and average power. Transmission line theory, reflection and transmission on transmission lines.
Prerequisites: PHY122, MTH221
Review of discrete-time signals and systems. Transform-domain representations of signals: Discrete-time Fourier Transform, Fast-Fourier Transform, applications of Z-Transform. Transform-domain representations of LTI systems: Types of transfer functions, stability condition and test. Frequency response of a Rational Transfer Function. The difference equation and Digital Filtering. Concept of filtering: Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) Filters.
Prerequisite:ELE204
This course deals with introducing to the students the basic concepts of data and computer communication, layered architectures (TCP/IP, OSI) and protocols. It also familiarizes to the students the fundamental physical layer, multiplexing, switching, encoding and decoding schemes for data communication, error detection and correction schemes, data link medium access methodologies, devices, internetworking (IP), Transport and Application layers.
Prerequisite: COE242
Fiber Optic communication System. Wavelength Division Multiplexing. Optical networking. Spread spectrum techniques. RAKE receiver. Time diversity. Short range communication standards and applications. Introduction fiber optic. MIMO for high-rate communications and ZigBee for low-rate UWB communications. Cellular-concept system design fundamentals, trunking and grade of service. Outdoor and indoor propagation models. Modern cellular systems: second-generation (2G), third-Generation (3G), fourth Generation (4G) and fifth Generation (5G).
Prerequisite: ELE302,ELE303
Finite Element Method: characteristics and capabilities. Applications of Finite Element method in problems related to semiconductor devices, microfluidic platforms, and communication device design. Set up, resolve, troubleshoot, post-process, and analyze a model in a CAD simulator. Overview of the CAD-based PCB manufacturing process, Industry Design Standards, Mechanical and Electrical aspects of PCB design, design for manufacturability, design considerations for special circuits, and PCB design flow The usage of symbols and associated libraries, the generation and insertion of various layout modules, and AutoCAD for Electrical Engineering applications. Generation of a bill of materials report, production of input/output drawings using spreadsheets, numbering wires, and tagging components.
Prerequisites: ELE205, COE212
This course provides knowledge and skill of programming concepts using pseudo code and C++ programming language. Topics cover: Pseudo code and flow-charts; data types; variables, constants; simple sequential programs; basic input/output; selection and repetition control; arrays and strings; user-defined functions and file handling
Prerequisite:
The course offers an exposure to programming techniques in MATLAB programming environment. Contents include Vectors, Matrices, Basic Arithmetic, Conditional and Repetition Statements, Plotting with MATLAB. Input/Output, M-files scripts and functions
Prerequisite: COE202
This course covers the topics of number systems and conversions, binary codes, logic gates, Boolean algebra, Simplification of Boolean Functions, Canonical forms, K-Maps, Combinational circuit design and analysis, Arithmetic blocks such as adders and subtractors, multiplexers, demultiplexers, encoders an decoders, Latches and Flip-flops, Sequential circuits design and analysis, Finite State Machines, Shift registers and Memories.
Prerequisite:
The primary objective of this course is to introduce the concepts of object-oriented programming: classes, objects, functions, inheritance, polymorphism, composition and aggregation, and recursive functions. It also covers the advanced topics of C++ such as structures, pointers, templates and recursion. The students also learn how to represent object-oriented program design with UML diagrams.
Prerequisite: COE202
Computer organization. Microprocessor and its internal architecture. Typical microprocessor bus systems. Addressing modes and address decoding. Memory and I/O interface. Assembly language programming. Microcontrollers and embedded systems. Introduction to PIC microcontroller. Programming of microcontroller using C language. Interrupt processing and interrupt-based control. Timers, A/D Module, and Oscillators. Microcontroller interfacing to real-world applications. PIC in embedded systems. Design and implementation of course projects using a PIC microcontroller.
Prerequisites: COE202, COE242
Introduction to Control Systems: Characteristics, time response, steady-state error. Open loop and closed loop concepts, transfer function, time domain, frequency domain, stability of linear feedback control systems, Root Locus method, Bode diagram. Design of feedback control systems: Principles of design, design with the PD, PI, and PID controllers. Performance evaluation of feedback control systems. Compensation: phase-lead, phase-lag and lead-lag compensation.
Prerequisite: ELE204
Basic Sensor related concepts. Sensor classification. Smart sensors, IoT sensors, definitions and properties. Optical, temperature, electric-magnetic, mechanical, and acoustic sensing principles. Sensor uncertainty reduction techniques. Smart home and health applications of IoT sensors. Sensor communication protocols. MEMs-enabled sensors. Wearable sensors and biosensors. Wireless network sensors and sensor network topologies.
Prerequisites: ELE319
The course aims to introduce the power electronics devices, power diode and power transistors. Analysis and design of uncontrolled and controlled rectifiers. Thyristor characteristics, types of thyristors, models, and operations of thyristor, thyristor commutation techniques and commutation circuit design. DC–DC converters: principles and classifications. AC voltage controllers with resistive and inductive load Principles of operation and performance parameters of different types of inverters and cycloconverters will be explored in detail.
Prerequisite: ELE319, ELE208
Industrial control principles. Programmable Logic Controllers (PLCs). Sequential programming, Ladder diagrams. Introduction to Process Control Systems. Foundation Fieldbus and Profibus standards. Block diagram representation of industrial control systems. Application of analog and digital signal conditioning in industrial control. Thermal, optical, displacement, position, strain, motion, pressure, and flow sensors used in industrial control. Actuators in industrial control. Data Logging, Supervisory Control, Computer-based Controllers.
Prerequisite: ELE307
This course provides students the opportunity for open-ended design of electronic circuits based on recent nanoscale devices using mixed-mode signals with advanced CAD tools. In this course, the state-of-the-art CAD (computer-aided design) tool to analyze and design device dimensions scaling-down (down to Nano scale) is covered. The used software is the same software suite that top device companies use to design their technology. Small student groups will design and test devices based on the goals they established at the beginning of the course. By the end of this course, the students will be able to define the opportunities and challenges of nanoscale technology and systems. Also, the students will learn how to use an advanced software package for simulating nano-devices and systems. Some possible devices that students might design include solar cells, ultra-low power transistors, high sensitivity or high speed temperature sensors, as well as analog and digital systems using nano-scale devices.
Prerequisite: ELE319
Introduction to microwave engineering, time domain analysis of transmission lines. Bounce diagrams. Steady-State Waves on Transmission Lines, field equations for lossless guiding structures, TEM waves. Power flow on a transmission line. Rectangular and Circular waveguides, Coaxial Lines and Stripline, Microstrip Lines. Impedance transformation and matching techniques. Scattering Matrix. Passive Microwave Devices. Terminators and attenuators. Phase shifters. Directional couplers. Hybrid couplers. Antennas. Application of Microwave Engineering.
Prerequisite: ELE303
Review of random processes. Pulse Modulation: sampling process, Analog Pulse Modulation (PAM, PWM, PPM), Pulse Code Modulation (PCM), Delta modulation (DM), Adaptive Delta Modulation (ADM). Time Division Multiplexing (TDM). Digital Communication Systems. Line coding, pulse shaping, equalization, and eye-pattern. M-ary baseband signaling. Digital carrier modulation and demodulation. Performance analysis of digital communication systems. Error detection and correction. Error control coding. Spread Spectrum Communication.
Prerequisite: ELE302,ELE304
The course introduces the students the protocol details and functioning in TCP/IP Stack including routing algorithms such as RIP, OSPF and BGP, and transport protocol mechanisms such as flow control, congestion control and reliability. It also covers modern network technologies such as Bluetooth, and Wireless LANs. The course also includes fundamental security aspects of communication networks.
Prerequisite: ELE415
Topics of current interest in Electrical Engineering as selected by the faculty and approved by the EE Department. The course is tailored according to market demands and the technology directions.
Prerequisite: ELE302,ELE315,ELE319
Basic quantities: charge, current, voltage, resistance, energy and power. Analysis of series, parallel and series-parallel D.C. resistive circuits using Ohm's law, Kirchhoff's voltage and current laws. Star-Delta and Delta-Star Transformations. Analysis of more resistive circuits using loop and nodal methods, superposition, source transformation, Thevenin’s and Norton theorems, maximum power transfer theorem. Transient analyses of RC, RL, and RLC circuits with DC excitation.
Prerequisites: PHY122
AC circuits: impedance and admittance, phasors and phasor diagrams, series and parallel circuits, power and power factor correction. Steady-state response using phasor method. Nodal and loop analysis, application of circuit theorems. Steady-state power analysis. Magnetically-coupled circuits.
Prerequisites: ELE207
The main focus of this course is to understand the magnetic field, the reluctance of magnetic materials and air. The voltage-current characteristics, voltage regulation of DC generators, torque speed characteristics, speed regulation of DC motors and the generalized concepts of electromechanical energy conversion are included mainly in this course. Working principles, construction and operation of single phase and three phase transformers will be studied. This course includes AC machines fundamentals and production of rotating magnetic field. In this course working principles, construction, characteristics and equivalent circuit of three phase synchronous generators, synchronous motors and induction motors. Basics of linear motor will be studied. Understanding of three phase power system. Contemporary issues related to electrical power system will be discussed..
Prerequisites: ELE208
The main focus of this course is to introduce and explain the fundamental concepts in the field of electrical power system power system protection, equipment and their operation, different schemes used for protection of power System, introduction of different types of relays used in power system protection. Basics of defining the zones for protection will be discussed. Protection of busbars, transmission line, generators and motors will be discussed in detail. Control mechanism and feedback control system for frequency and voltage control at the generation station will be discussed in detail
Prerequisites: ELE307, ELE315
Introduction to different types of conventional power plants for generation of power. Operating principles of steam power plant, nuclear power plant, gas-power plant and combined-cycle gas-power plant. Comparison of different transmission line insulators. String efficiency and its improvement. Calculations for sag and tension in designing a transmission line. Classification and comparison of underground cables. Introduction to power distribution systems as well as power distribution and measurement equipment. Students will also learn about designing a power distribution system.
Prerequisite: ELE315
Introduction to renewable energy sources. Electrical characteristics and performance evaluation of PV cells, modules, panels, and arrays. Optimization of PV arrays. Design of a stand-alone PV system with battery storage. Wind energy conversion systems, sizing, and site matching. Hydro generation and types of hydropower turbines. Site selection and feasibility of a potential hydro power site. Solar thermal energy conversion systems. Ocean thermal energy conversion. Tidal energy, wave power generation, geothermal and biomass energy systems. Types of energy storage systems and their applications.
Prerequisite: ELE315
Basic concept of electric power grid. Types and equipment at grid stations. Grid station automation. Fundamental concepts of power grid integration on microgrids of renewable energy sources. Microgrids role in improving reliability and resiliency of the grid as well as promoting clean energy. Modeling converters in microgrids. Smart meters and monitoring systems and smart meters applications in improving grid performance. Design of PV microgrid generating station. Microgrid wind energy systems.
Prerequisite: ELE463
The main focus of this course is to introduce and explain the fundamental concepts in the field of electrical power system engineering. The basic concepts of per unit system will be introduced along with their applications in circuit applications, different methods of power system analysis and design will be introduced. Transmission line parameters, their calculations and modeling will be introduced. Short-circuit analysis and method of Symmetrical components will be covered. Power flow analysis and symmetrical and unsymmetrical faults in power system will be covered in detail.
Prerequisite: ELE315
This course introduces design methodologies for implementing digital systems in programmable logic. The course will build on the basics of digital logic design course. The students will learn how a Hardware Description Language (HDL) is used to describe and implement hardware. The topics will include (behavioral modeling, dataflow modeling and structural modeling and writing test benches for design verification). The students also will learn about computer-aided synthesis and implementation for FPGAs design. Laboratory exercises lead the students through the complete programmable logic design cycle. Each student will prototype a digital system starting with VHDL entry, functional and timing simulations, logic synthesis, device programming, and verification.
Prerequisites: COE242
To introduce the basic concepts and develop the understanding of limits, continuity, derivatives, differentiability and integrability of functions of a single real variable, and their applications in engineering field.
Prerequisite: None
Matrix addition, subtraction, multiplication and transposition. Complex numbers, algebraic properties of complex numbers, absolute values, complex conjugate, polar representation, powers and roots. Functions of several variables. Double and triple integrals in rectangular and polar coordinates. Applications of multiple integrals in engineering. Infinite sequences, tests for convergence, power series expansion of functions, Taylor series, Laurent series, Fourier series and their applications in engineering
Prerequisite: MTH121
This course aims at developing a clear understanding of the basic concepts in physics. The course includes: physics and measurements, vectors, motion in one and two dimensions, Newton's laws of motion and their applications, work and energy, rotational dynamics, rolling motion, conservation of angular momentum with special emphasis on engineering applications.
Prerequisite: None
To develop the understanding of concepts in electricity, magnetism and optics with special emphasis on engineering applications.
Prerequisite: PHY121
This course goal is developing students’ knowledge and understanding of important concepts in chemistry. The course also aims at introducing students to various general applications of chemistry. General Chemistry course presents the fundamentals of certain topics in general and organic chemistry. This course includes atomic and electronic structure, Quantum mechanics, periodic properties, type of bonds, naming of ionic and covalent compounds, Lewis theory, Hybridization and Molecular Orbital Theory. It is also covers some important areas in organic chemistry, which include all functional groups of organic compounds, as well as sources, physical properties, nomenclature and reactions of aliphatic hydrocarbons, Carbonyl compounds, Carboxylic acids and Amines.
Prerequisite: None
Engineering profession and the role of engineers in modern developments, engineering ethics. Various engineering disciplines with special emphasis on electrical engineering. Importance of math and science to engineers. Engineering design and analysis, lab skills for engineers, computer skills for engineers. Electrical Engineering curriculum, curriculum planning and management. Critical thinking, soft skills for engineers, creativity, communication skills. Case studies on engineering ethics.
Prerequisite: None
Vector Calculus and its engineering applications. First-order differential equations. Homogeneous linear second order differential equations with constant and variable coefficients, non-homogeneous linear second order differential equations with constant coefficients, higher order linear differential equations with constant coefficients. Power series solution of differential equations. Laplace Transform, Inverse Laplace Transform. Application of Laplace Transform to solve ordinary differential equations. Introduction to partial differential equations (PDEs), first-order PDEs, second order PDEs, boundary value problems, and engineering applications.
Prerequisite: MTH122
Linear Algebra: Matrices and determinants, solution of systems of linear equations, eigenvalues and eigenvectors, engineering applications, computer exercises. Complex Analysis: Complex functions, derivative of complex functions, analytic functions, Cauchy-Riemann equations, harmonic functions. Fourier analysis: Fourier Series, Fourier Integrals, Fourier series of even and odd functions with applications. Discrete Mathematics and its engineering applications.
Prerequisite: MTH221
This course aims to develop students’ understanding of probability concept and its applications in analyzing random variables and random processes.The course covers the following topics: Probability Density Function (PDF), Cumulative Distribution Function (CDF), Joint PDF, Joint CDF, different important random variables, statistical parameters of single random variable, transformation of random variables, statistical parameters of pair of random variables, different random processes, statistical analysis of random process and applications of random variables and random process in different engineering areas.
Prerequisite: MTH122
Introduction to engineering management and role of effective management. Strategic and operational planning, forecasting, action planning. Organization: activities, organizational structures, delegating, establishing working relationships. Basics of leadership. Controlling activities: setting standards, measuring, evaluating, and improving performance. Marketing Management: marketing process and strategies, pricing, promotion strategy, channels of distribution and types of distribution.
Prerequisite: ENG113
To enhance students’ abilities in designing and implementing a realistic engineering project. It also aims at improving students’ research and analysis skills, presentation skills and provides them an opportunity to further develop their planning, coordination, and problem-solving skills while working as members of a project team. The project is the first part of the Capstone graduation Projects (I and II) that will be completed in two consecutive semesters and enables students to oral and written communications skills.
Prerequisite: 99 Credit Hours
It is a continuation of Capstone Project I in the second semester. Students will complete the implementation and testing of the remaining part of their design. They will integrate the complete project, test it, and prepare a PCB, if needed, and explain lifelong learning, ethical issues, and impact of project. Report writing, oral presentation, poster presentation, and project demonstration with critical reflection on achieved outcomes for designed project.
Prerequisite: ELE494
The course aims to develop students’ understanding of contemporary issues as well as the impact of engineering solutions in a global, economic, environmental, and societal context. It will also improve their oral presentation skills.
Prerequisite: ENG113
The main purpose of this course is to provide the fundamental knowledge to the engineering students so that they can understand basics of AI. The course covers: Introduction to AI, Problem formulation, Search, Production system, Ontology, Propositional logic, First order predicate logic, Fuzzy logic, Pattern Recognition, Neural Network, Multilayer Neural Networks. Python, MATLAB are used for simulation purpose.
Prerequisite COE242, ELE304
To expose students to a learning environment where they can apply what they have learned in the classroom to a professional setting and enhance their abilities to correlate theoretical knowledge with professional practice.
Prerequisite: Academic Advisor Approval.