School/Faculty/Institute Faculty of Engineering
Course Code EE 100
Course Title in English Introduction to Electrical Electronics Engineering
Course Title in Turkish Elektrik Elektronik Mühendisliğine Giriş
Language of Instruction EN
Type of Course Lecture
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 2 Recitation: Lab: Other:
Estimated Student Workload 82 hours per semester
Number of Credits 3 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Expected Prior Knowledge None
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To develop an understanding about the field of Electrical and Electronics Engineering.
Course Description This course provides a general introduction to the field of Electrical and Electronics Engineering. The course content covers MEF's Electrical and Electronics Engineering program and curriculum, basic research areas of Electrical and Electronics Engineering and basic concepts in these research areas. In addition to the theoretical lectures, there will be seminars from professionals and researchers from the field of Electrical and Electronics Engineering.
Course Description in Turkish Bu ders Elektrik-Elektronik Mühendisliği alanına genel bir giriş sağlamaktadır. Bu dersin iceriği MEF Üniversitesinin Elektrik-Elektronik Mühendisliği programını, Elektrik-Elektronik Mühendisliğinin temel araştırma alanlarını ve bu alanlarda kullanılan temel terimleri tanıtmaktır. Teorik derslere ek olarak, Elektrik-Elektronik mühendislerinden ve araştırmacılardan seminerler olacaktır.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) recognize the EE Engineering program and its continuous improvement;
2) explain the professional and ethical responsibilities of an EE engineer;
3) describe the basic concepts and the formal design process in Electrical and Electronics Engineering;
4) function effectively on a team;
5) prepare a technical report and verbal presentation about a state-of-the art application in the field of Electrical and Electronics Engineering;
6) demonstrate a knowledge in basic mathematics required for solving EE Engineering problems;
7) recognize the contemporary issues and application areas of Electrical and Electronics Engineering, acquire and apply new knowledge as needed.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date TUBA AYHAN , June 2019
Course Coordinator TUBA AYHAN
Semester Fall
Name of Instructor Asst. Prof. Dr. TUBA AYHAN

Course Contents

Week Subject
1) Introduction to Electrical and Electronics Engineering and MEF’s Electrical and Electronics Engineering Program and Curriculum
2) Introduction to Engineering Profession and Fundamental Units and Dimensions
3) Who is a good engineer?
4) Technical Report Writing and Presentation
5) Introduction to Electrical and Electronics Laboratory
6) Introduction to Electrical and Electronics Laboratory
7) Introduction to EE Branches
8) Introduction to EE Branches
9) Introduction to EE Branches
10) Introduction to EE Branches
11) Introduction to EE Branches
12) Basic Mathematics for Electrical and Electronics Engineers
13) Basic Mathematics for Electrical and Electronics Engineers
14) Final Project Presentation
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended ReadingsNone
Teaching MethodsLectures in the classroom, invited talks and technical trip.
Homework and ProjectsThere will be 5-6 homework and laboratory assignments and a final project.
Laboratory WorkTwo of the lectures will be at the Electrical and Electronics Engineering Laboratory and students will conduct simple experiments in those lectures.
Computer UseNone
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Homework Assignments 6 % 40
Project 1 % 35
Midterm(s) 1 % 25
TOTAL % 100
Course Administration ayhant@mef.edu.tr

Instructor’s office and phone number: 5th Floor, (0212) 3953730 office hours: TBA email address: ayhant@mef.edu.tr Rules for attendance: - Missing a midterm: Provided that proper documents of excuse are presented, a make-up exam will be given for the missed midterm. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Academic Dishonesty and Plagiarism: YÖK Regulations

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 0 2 28
Project 1 16 2 18
Homework Assignments 6 2 2 24
Midterm(s) 1 10 2 12
Total Workload 82
Total Workload/25 3.3
ECTS 3