Biomedical Engineering (English)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code: EEE206
Course Name: Electronics 1
Semester: Spring
Course Credits:
ECTS
7
Language of instruction: English
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Compulsory Courses
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator: Araş. Gör. AYŞENUR ESER
Course Lecturer(s): FEVZİ AYTAÇ DURMAZ
Course Assistants:

Course Objective and Content

Course Objectives: To introduce semiconductor theory and electronic circuit elements, to show the applications of these elements in basic circuits, to teach the use of PSpice software, to simulate the circuits given in the course and to have these circuits applied in the laboratory.
Course Content: Electronic circuit elements and basic circuits. Diodes: Concepts about semiconductors, physical structure of pn-junction diode, terminal characteristics, ideal diode, zener diode, other diodes, analysis of diode circuits. MOSFET and BJT: Physical structure and operating regions, DC biasing, small-signal model, analysis of basic amplifier circuits, operation as switches. Operational amplifiers: Properties, ideal OPAMP and application examples. PSpice models.

Learning Outcomes

The students who have succeeded in this course;
1) To be able to apply and recognize the properties of semiconductors to understand the physical structures and working principles of diode, BJT and MOSFET elements.
2) To be able to make DC and AC analysis of basic circuits including diode, BJT and MOSFET.
3) To be able to analyze basic circuits including operational amplifiers (OPAMP).
4) To be able to simulate, implement, test and report the results of basic circuits containing diodes and OPAMPs and basic amplifiers containing BJT and MOSFET.

Course Flow Plan

Week Subject Related Preparation
1) Fundamentals of semiconductor theory, Course book
2) pn-junction diode; equation, i-v characteristic, physical structure, Course book
3) Ideal diode definition, diode circuit applications I, Course book
4) Diode circuit applications II, Zener diode i-v characteristic, Course book
5) Circuit applications with zener diodes, other diodes, Ders kıtabı
6) BJT physical structure, BJT terminal characteristics, operating regions, polarization, Course book
7) Low frequency small signal model, basic BJT Amplifiers Course book
8) Analysis of amplifier circuits Course book
9) MIDTERM EXAM Course book
10) MOSFET terminal characteristics, operating regions, Course book
11) Polarization of MOSFET, low frequency small signal model, Course book
12) AC analysis of basic MOSFET amplifiers, Course book
13) Operational amplifier (OPAMP), definition of ideal OPAMP Course book
14) Slew rate, common mode rejectıon ratıo, circuit applications with OPAMP. Course book

Sources

Course Notes / Textbooks: Microelectronic Circuits, A. S. Sedra, K. C. Smith, 7th Edition, Oxford University Press, 2014.
References: Microelectronic Circuit Design, R. C. Jaeger, T. N. Blalock, 4th Edition, McGraw-Hill, 2011.

Course - Program Learning Outcome Relationship

Course Learning Outcomes

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2

3

4

Program Outcomes
1) Adequate knowledge of mathematics, science and biomedical engineering disciplines; Ability to use theoretical and applied knowledge in these fields in solving complex engineering problems.
2) Ability to identify, formulate and solve complex biomedical engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in biomedical engineering practices; Ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the investigation of complex biomedical engineering problems or discipline-specific research topics.
6) Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language, ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself.
9) Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practices.
10) Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development.
11) Information about the effects of biomedical engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; Awareness of the legal consequences of biomedical engineering solutions.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Adequate knowledge of mathematics, science and biomedical engineering disciplines; Ability to use theoretical and applied knowledge in these fields in solving complex engineering problems.
2) Ability to identify, formulate and solve complex biomedical engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in biomedical engineering practices; Ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the investigation of complex biomedical engineering problems or discipline-specific research topics.
6) Ability to work effectively in disciplinary and multi-disciplinary teams; individual working skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language, ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself.
9) Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practices.
10) Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development.
11) Information about the effects of biomedical engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; Awareness of the legal consequences of biomedical engineering solutions.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Laboratory 5 % 10
Homework Assignments 5 % 20
Midterms 1 % 30
Final 1 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 14 3 3 84
Laboratory 5 3 2 25
Homework Assignments 5 3 3 30
Quizzes 2 4 1 10
Midterms 1 10 2 12
Final 1 12 2 14
Total Workload 175