COMPUTER ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code: 141002036
Ders İsmi: Engineering Laboratory Techniques
Ders Yarıyılı: Spring
Ders Kredileri:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: TR
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Bölüm Seçmeli
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 : Dr.Öğr.Üyesi Cenk DİNÇBAKIR
Course Lecturer(s): Dr.Öğr.Üyesi Cenk DİNÇBAKIR
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: To do experiments on electronic circuits and to learn the functions of measuring instruments. To be able to choose the appropriate measuring instrument and get measurement results in order to make accurate measurements in experiments.
Course Content: 1. Learning Basic Concepts in Engineering
2. To Get Knowledge About Basic Electronic Components
3. To Learn Basic Measurement Methods and Being Able to Apply them
4. To Design Electronic Experiments
5. To be able to Build Circuits On Board, To Do Experiment and To Learn to Make Measurements.
6. Learning Project Report Writing and Presentation Techniques

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) Introduction – Introduction to the Laboratory – Course Introduction – General Laboratory Rules Presentation
2) Sample Project and Technical Report Studies – Determination of Project Groups and Topics Presentation
3) Learning and Using Experimental Equipments Correctly Application
4) Electronic Component “Resistor” – Current / Voltage Measurement Applications Theory - Application
5) Electronic Component “Capacitor” – Applications of Time Constant and Phase Difference Concepts Theory - Application
6) Electronic Component “Diode” – AC/DC Power Supply Design and Application Theory - Application
7) Midterm Project Presentations Presentation
8) Midterm Week
9) Electronic Component “Transistor” – Switch Application (Time Switch) Theory - Application
10) Electronic Component “Transistor” – Switch Application (Light Switch) Theory - Application
11) Electronic Component “Transistor” – Sound Amplifier Application Theory - Application
12) Electronic Component “OPAMP” – Basic OPAMP Applications Theory - Application
13) Electronic Component “OPAMP” – Opamp Amplifier Applications Theory - Application
14) WEB Based PCB Drawing Software “Easy EDA” and Applications Application
15) Discussion on Field Application Examples Presentation

Sources

Course Notes / Textbooks:
References:

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları
Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems 5
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product 5
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively. 4
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
total %
PERCENTAGE OF SEMESTER WORK % 0
PERCENTAGE OF FINAL WORK %
total %