DEPARTMENT OF SOFTWARE ENGINEERING (ENGLISH)
Qualification Awarded	Program Süresi	Toplam Kredi (AKTS)	Öğretim Şekli	Yeterliliğin Düzeyi ve Öğrenme Alanı
Bachelor's (First Cycle) Degree	4	240	FULL TIME	TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 6 QF-EHEA:First Cycle TR-NQF-HE, ISCED (1997-2013): 48,52

Ders Genel Tanıtım Bilgileri

Course Code:

1400121006

Ders İsmi:

Physics II

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Labs	Credit	ECTS
3	2	0	4	5

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Other Recommended Topics for the Course:

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 Şeyda ŞAHİNER

Course Lecturer(s):

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:	The aim of this course is to teach fundemantal concepts and laws of electricity and magnetism and in particular, to have students learn for themselves how physics as a discipline can be used to obtain a deep understanding of how the world works.
Course Content:	Electric Charge, Coulomb's Law, Electric Fields, Electric Flux, Gauss’ Law, Electric Potential, Capacitance, Current and Resistance, Ohm's Law, Power, Circuits, Kirchhoff's Rules, Magnetic Forces, Biot-Savart Law, Two conductor parallel wires, Magnetic Field Due to Currents, Ampere's Law, Magnetic Flux, Faraday's Law, Lenz's Law, Induction

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) 1) Students will have up-to-date information, theoretical and applied knowledge in the field of Physics. They will have the knowledge to use resources related to Physics. 2) Students will be able to conduct qualitative analysis which demonstrates physical and mathematical intuition and conceptual understanding. 3) Students will be able to perform quantitative calculations in situations involving electric and magnetic fields, and demonstrate knowledge of the relevant basic units, vector addition, and application of basic calculus.
2 - Skills
Cognitive - Practical
1) 1) Students will be able to apply the theoretical knowledge they have learned in the course. 2) Students will be able to evaluate experimental data as necessary. 3) Students will be able to examine concepts and ideas in their field with scientific methods, interpret, evaluate and analyze data.
3 - Competences
Communication and Social Competence
1) Learning Competence
Learning Competence
Field Specific Competence
1) Ability to Work Independently and Take Responsibility
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Chapter 23. Electric Fields 23.1 Properties of Electric Charges. 23.2 Charging Objects by Induction. 23.3 Coulomb's Law.
2)	Chapter 23. continues 23.4 Analysis Model: Particle in an Electric Field. 23.5 Electric Field of a Continuous Charge Distribution. 23.6 Electric Field Lines. 23.7 Motion of Charged Particles in a Uniform Electric Field.
3)	Chapter 24. Gauss's Law 24.1 Electric Flux. 24.2 Gauss's Law. 24.3 Application of Gauss's Law to Various Charge Distributions. 24.4 Conductors in Electrostatic Equilibrium.
4)	Chapter 25. Electric Potential 25.1 Electric Potential and Potential Difference. 25.2 Potential Differences in a Uniform Electric Field. 25.3 Electric Potential and Potential Energy Due to Point Charges. 25.4 Obtaining the Value of the Electric Field from the Electric Potential. 25.5 Electric Potential Due to Continuous Charge Distributions. 25.6 Electric Potential Due to a Charged Conductor.
5)	Chapter 26. Capacitance and Dielectrics 26.1 Definition of Capacitance. 26.2 Calculating Capacitance. 26.3 Combinations of Capacitors. 26.4 Energy Stored in a Charged Capacitor. 26.5 Capacitors with Dielectrics.
6)	Chapter 27. Current and Resistance 27.1 Electric Current. 27.2 Resistance. 27.4 Resistance and Temperature. 27.6 Electrical Power
7)	Chapter 28. Direct Current Circuits 28.1 Electromotive Force 28.2 Resistors in Series and Parallel. 28.3 Kirchhoff's Rules.
8)	Midterm Exam
9)	Chapter 28. continues 28.4 RC Circuits. Chapter 29. Magnetic Fields 29.1 Analysis Model: Particle in a Magnetic Field. 29.2 Motion of a Charged Particle in a Uniform Magnetic Field.
10)	Chapter 29. continues 29.3 Applications Involving Charged Particles Moving in a Magnetic Field 29.4 Magnetic Force Acting on a Current-Carrying Conductor. 29.5 Torque on a Current Loop in a Uniform Magnetic Field.
11)	Chapter 30. Sources of Magnetic Field 30.1 The Biot-Savart Law. 30.2 The Magnetic Force Between Two Parallel Conductors. 30.3 Ampere's Law.
12)	Chapter 30. continues 30.4 The Magnetic Field of a Solenoid. 30.5 Gauss's Law in Magnetism. 34.1 Displacement Current and the General Form of Ampere's Law. 34.2 Maxwell's Equations.
13)	Chapter 31. Faraday's Law 31.1 Faraday's Law of Induction. 31.2 Motional emf. 31.3 Lenz's Law. 31.4 Induced emf and Electric Fields. 31.5 Generators and Motors.
14)	Chapter 32. Inductance 32.1 Self-Induction and Inductance. 32.2 RL Circuits. 32.3 Energy in a Magnetic Field. 32.4 Mutual Inductance. 32.5 Oscillations in an LC Circuit.
15)	General Review
16)	Final Exam

Sources

Course Notes / Textbooks:	Physics for Scientists & Engineers, R. A. Serway & J. W. Jewett, 9th Edition
References:	University Physics, Young & Freedman Fundamentals of Physics, Halliday & Resnick

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3	3
Program Outcomes
1) Knowledge of mathematics, science, basic engineering, computer computing, and engineering discipline-specific topics; ability to use this knowledge in solving complex engineering problems
2) Sufficient knowledge of issues related to software engineering; theoretical and To be able to use applied knowledge in solving algorithmic and software problems Skill.
3) Ability to define, formulate and analyze complex engineering problems using basic science, mathematics and engineering knowledge and taking into account the UN Sustainable Development Goals relevant to the problem under consideration.
4) Ability to design creative solutions to complex engineering problems; The ability to design complex systems, processes, devices or products to meet current and future requirements, taking into account realistic constraints and conditions.
5) Ability to choose and use appropriate techniques, resources, modern engineering computational tools for the analysis, solution, prediction and modelling of complex engineering problems.
6) Ability to use research methods to examine complex engineering problems, including researching literature, designing experiments, conducting experiments, collecting data, analyzing and interpreting results.
7) Information about the effects of engineering practices on society, health and safety, economy, sustainability and the environment within the scope of the UN Sustainable Development Goals; Awareness of the legal consequences of engineering solutions
8) Acting in accordance with engineering professional principles and knowledge about ethical responsibility; Awareness of acting impartially, without discrimination on any issue, and being inclusive of diversity.
9) Ability to work effectively as a team member or leader in intradisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
10) Individual working ability.
11) Ability to communicate effectively verbally and in writing on technical issues, taking into account the various differences of the target audience (such as education, language, profession).
12) Knowledge of business practices such as project management and economic feasibility analysis
13) Awareness about entrepreneurship and innovation.
14) A lifelong learning skill that includes being able to learn independently and continuously, adapting to new and developing technologies, and thinking inquisitively about technological changes.

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Knowledge of mathematics, science, basic engineering, computer computing, and engineering discipline-specific topics; ability to use this knowledge in solving complex engineering problems	4
2)	Sufficient knowledge of issues related to software engineering; theoretical and To be able to use applied knowledge in solving algorithmic and software problems Skill.
3)	Ability to define, formulate and analyze complex engineering problems using basic science, mathematics and engineering knowledge and taking into account the UN Sustainable Development Goals relevant to the problem under consideration.
4)	Ability to design creative solutions to complex engineering problems; The ability to design complex systems, processes, devices or products to meet current and future requirements, taking into account realistic constraints and conditions.
5)	Ability to choose and use appropriate techniques, resources, modern engineering computational tools for the analysis, solution, prediction and modelling of complex engineering problems.	4
6)	Ability to use research methods to examine complex engineering problems, including researching literature, designing experiments, conducting experiments, collecting data, analyzing and interpreting results.
7)	Information about the effects of engineering practices on society, health and safety, economy, sustainability and the environment within the scope of the UN Sustainable Development Goals; Awareness of the legal consequences of engineering solutions
8)	Acting in accordance with engineering professional principles and knowledge about ethical responsibility; Awareness of acting impartially, without discrimination on any issue, and being inclusive of diversity.
9)	Ability to work effectively as a team member or leader in intradisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
10)	Individual working ability.
11)	Ability to communicate effectively verbally and in writing on technical issues, taking into account the various differences of the target audience (such as education, language, profession).
12)	Knowledge of business practices such as project management and economic feasibility analysis
13)	Awareness about entrepreneurship and innovation.
14)	A lifelong learning skill that includes being able to learn independently and continuously, adapting to new and developing technologies, and thinking inquisitively about technological changes.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Course
Grup çalışması ve ödevi
Labs
Problem Çözme
Rapor Yazma

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

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

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Laboratory	1	% 20
Homework Assignments	1	% 10
Midterms	1	% 30
Semester Final Exam	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
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
Quizzes	1	2	2
Midterms	1	2	2
Final	1	3	3
Total Workload			133