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

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
PHY2003	Modern Physics	Spring	3	0	3	4

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Assoc. Prof. MUHAMMED AÇIKGÖZ
Recommended Optional Program Components:	None
Course Objectives:	To introduce the fundamentals of relativity, Quantum physics, atomic physics and nuclear physics.

Learning Outcomes

The students who have succeeded in this course;
The students who succeeded in this course;
will be able to understand the special theory of relativity.
will be able to formulate the Lorentz transformation equations.
will be able to formulate relativistic linear momentum and energy.
will be able to discriminate Quantum physics from classical physics.
will be able to formulate wave mechanics.
will be able to apply Schrödinger equation to some applications.
will be able to learn the elementary concepts of Quantum physics.
will be able to define hydrogen atom concept in Quantum physics.
will be able to apply quantum theory to nuclear structure.
will be able to discriminate nuclear reactions; fission and fusion.
will be able to apply quantum theory to nuclear reactions.
will be able to apply quantum theory to elementary particles and their interactions.

Course Content

In this course theory of relativity; the Lorentz transformation equations; basics of Quantum mechanics; Schrödinger equation; principles of the atomic physics and nuclear physics will be taught.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Modern Physics, and Theory of Relativity.
2)	Theory of Relativity.
3)	Quantum Theory of Light; Introduction to the theory and results of waves.
4)	Quantum Physics; The beginnings of quantum theory
5)	Quantum Physics; A basic introduction to quantum mechanics and wave mechanics.
6)	Quantum Physics; probabilities and normalization; SHO
7)	Schrödinger Equation and Quantum Mechanics
8)	Atomic Physics; atomic structure
9)	Atomic Physics; molecular structure
10)	Nuclear Physics; Nuclear structure and Nuclear binding energy, nuclear force, radioactivity
11)	Nuclear Physics applications; Nuclear reactions; fission and fusion; Radiation detectors and applications
12)	Selected Topics
13)	Selected Topics
14)	Selected Topics

Sources

Course Notes / Textbooks:	1) Physics for Scientists and Engineers, eighth editions (2010) by John W. Jewett, Jr. and Raymond A. SERWAY, BROOKS/COLE CENGACE learning. 2) Physics for Scientists and Engineers with Modern Physics, sixth editions (2006) by Raymond A. SERWAY and John W. Jewett, Jr., Brooks/Cole- Thomson Learning.
References:	1) Physics, Principles with applications, 5th edition (1998) by Douglas C. GIANCOLI, Prentice Hall, Upper Saddle River, New Jersey 07458 2) Fundamentals of Physics, 5th edition (1997) by David HALLIDAY, Robert RESNICK and Jearl WALKER, John Wiley &Sons. Inc. New York.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	2	% 10
Midterms	1	% 40
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	2	28
Midterms	1	14	14
Final	1	16	16
Total Workload			100

Contribution of Learning Outcomes to Programme Outcomes

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

	Program Outcomes	Level of Contribution
1)	Have sufficient background in mathematics, science and artificial intelligence engineering.
2)	Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3)	Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4)	Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5)	Select and use modern techniques and tools necessary for engineering applications.
6)	Design and conduct experiments, collect data, and analyse and interpret results.
7)	Work effectively both as an individual and as a multi-disciplinary team member.
8)	Access information via conducting literature research, using databases and other resources
9)	Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10)	Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11)	Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12)	Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13)	Have a sense of professional and ethical responsibility.
14)	Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.