Biomedical Engineering (English) | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | EEE203 | ||||
Course Name: | Circuit Analysis 1 | ||||
Semester: | Fall | ||||
Course Credits: |
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Language of instruction: | English | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Compulsory Courses | ||||
Course Level: |
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Mode of Delivery: | Face to face | ||||
Course Coordinator: | Araş. Gör. AYŞENUR ESER | ||||
Course Lecturer(s): | Doç. Dr. Aslan İNAN | ||||
Course Assistants: |
Course Objectives: | The objective of this course is to teach students electric circuit variables, basic circuit elements, linear electric circuits, the basic circuit laws, circuit theorems and analysis methods of electric circuits in frequency-domain. |
Course Content: | The Complete Response of RL and RC Circuits, Sinusoidal steady-state analysis, AC steady-state power, Three-phase circuits, Frequency response, The Laplace transform, Fourier series and Fourier transform, Filter circuits, Two-port and Three-port networks. |
The students who have succeeded in this course;
1) Be able to recognize circuit variables and circuit elements. 2) Will be understand the circuit laws in frequency-domain 3) Circuit elements (2-terminal, multi-terminal, multi-port elements and resistor, self and capacitance elements), electrical properties (linear/non-linear, time-varying/time-invariant, active/passive) and widely used ideal 2-terminal, To be able to describe 2-port, 3-terminal circuit elements, their electrical properties, modeling physical elements using ideal circuit elements. 4) Being able to write Kirchhoff's current equations for nodes and Gaussian surfaces. 5) Students will be able to perform time and frequency-domain analysis of linear active and passive circuits 6) Students will be able to design, simulate, realize and measure simple dynamic circuits 7) Students will demonstrate the ability to apply knowledge of differential equations, complex variables and linear algebra |
Week | Subject | Related Preparation |
1) | Circuit variables | Course book |
2) | Circuit Elements | Course book |
3) | Simple resistive circuits | Course book |
4) | Techniques of circuit analysis | Course book |
5) | Techniques of circuit analysis | Course book |
6) | The Operational Amplifier | Course book |
7) | MIDTERM EXAM | Course book |
8) | Inductance, Capacitance, and Mutual Inductance | Course book |
9) | Response of First-Order RL and RC Circuits in time domain | Course book |
10) | Natural and Step Responses of RLC Circuits | Course book |
11) | Sinusoidal Steady-State Analysis | Course book |
12) | Introduction to the Laplace Transform and its applications in circuit analysis | Course book |
13) | Introduction to Frequency Selective Circuits | Course book |
14) | Active filter circuits | Course book |
Course Notes / Textbooks: | Alexander/Sadiku: Fundamentals of Electric Circuits, 4E |
References: | Basic Circuit Theory, Charles.A Desoer, Ernest S. Kuh |
Course Learning Outcomes | 1 |
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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. |
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. |
Semester Requirements | Number of Activities | Level of Contribution |
Laboratory | 6 | % 18 |
Quizzes | 2 | % 12 |
Homework Assignments | 5 | % 10 |
Midterms | 1 | % 30 |
Final | 1 | % 30 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 70 | |
PERCENTAGE OF FINAL WORK | % 30 | |
total | % 100 |
Activities | Number of Activities | Preparation for the Activity | Spent for the Activity Itself | Completing the Activity Requirements | Workload | ||
Course Hours | 14 | 2 | 3 | 70 | |||
Laboratory | 6 | 2 | 2 | 24 | |||
Homework Assignments | 5 | 2 | 5 | 35 | |||
Quizzes | 2 | 5 | 1 | 12 | |||
Midterms | 1 | 8 | 2 | 10 | |||
Final | 1 | 10 | 2 | 12 | |||
Total Workload | 163 |