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

Ders Genel Tanıtım Bilgileri

Course Code:

1410121008

Ders İsmi:

Physics II

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
3	2	4	5

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Necessary

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 Recep DURANAY

Course Lecturer(s):

Prof. Dr. Afif SIDDIKİ
Prof. Dr. Sevtap YILDIZ ÖZBEK

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:	The aim of the course is to provide students with information about semiconductors and their usage areas.
Course Content:	Electric Fields, Gauss's Law, Electric Potential, Capacitance and Dielectrics, Current and Resistance, Direct Current Circuits, Magnetic Fields, Sources of the Magnetic Field, Faraday's Law.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Students will learn current knowledge, theoretical and applied information in the field of Physics. He / she will be equipped with sufficient knowledge to use physics related resources.
2) Students will have theoretical knowledge on Physics theories.
2 - Skills
Cognitive - Practical
1) Students will be able to apply the theoretical knowledge gained in the field of Physics.
2) Students will be able to evaluate their experimental data as needed.
3) Students will be able to examine the concepts and ideas in the field with scientific methods, interpret, evaluate and analyze data.
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 of the course. Electric Charges and Coulomb's Law: Properties of electric charges, insulators and conductors, Coulomb's law.	Textbook
2)	Electric Field and Motion in Electric Fields: Electric Field, Electric Field Lines, Electric field of a continuous charge distribution	Textbook
3)	Gauss's Law: Electric flux, Gauss's law, Application of Gauss's law to charged insulators, Conductors in electrostatic equilibrium	Textbook
4)	Electric Potential: Potential difference and electric potential, Potential difference in a uniform electric field, Potential and potential energy of point charge, Electric potential of continuous charge distribution, Obtaining electric field from potential	Textbook
5)	Electrical Potential Energy	Textbook
6)	Definition of capacitors, Calculation of capacitors, Connection of capacitors, Energy Stored in Charged Capacitors	Textbook
7)	Electric current, resistance and Ohm's Law	Textbook
8)	Midterm 1	Textbook
9)	A Model for Electrical Conductivity, Resistance and Temperature, Electrical Energy and Power, Electromotor Force, Connecting in	Textbook
10)	Kirchhoff's Rules, RC Circuits	Textbook
11)	Magnetic Field, Magnetic Force Acting on a Current-Carrying Conductor, Torque Acting on a Current Loop in a Uniform Magnetic Field, Movement of a Charged Particle in a Magnetic Field	Textbook
12)	Biot - Savart's Law, Magnetic Force Between Two Parallel Conductors	Textbook
13)	Ampere's Law, Magnetic Field of a Solenoid, Magnetic Flux, Gauss's Law in Magnetism	Textbook
14)	Faraday's Law of Induction, Motion EMF, Lenz's Rule, Induction EMFs and Electric Fields	Textbook
15)	Application and Interpretation of Gauss's Law, Ampere's Law and Faraday's Law	Textbook
16)	Final	Textbook

Sources

Course Notes / Textbooks:	J.R.Taylor, C.Zafaritos Çev.Prof.Dr.B.Karaoğlu. Fen ve Mühendislik için Fizik R.A.Serway Çev: K.Çolakoğlu, Palme Yayıncılık.
References:	Katıların Fiziği Richard Turton; Çeviren: Yahya Kemal Yoğurtçu Aktif Yayınevi; Erzurum, 2005. Yarıiletken Fiziği1 Prof.Dr.Tayyar Caferov YTÜ Yayınları.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3	4	5
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)	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

Öğrenme Etkinliği ve Öğretme Yöntemleri

Alan Çalışması
Course
Labs
Homework
Problem Çözme

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Uygulama

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Laboratory	10	% 5
Application	10	% 5
Midterms	2	% 30
Semester Final Exam	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Laboratory	14	2	28
Study Hours Out of Class	14	4	56
Midterms	2	2	4
Final	1	3	3
Total Workload			133