Modern Physics (PHYS 211)

2020 Fall
Faculty of Engineering and Natural Sciences
Physics(PHYS)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Durmuş Ali Demir durmus.demir@sabanciuniv.edu,
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English
Undergraduate
MATH101 NS101
Formal lecture
Interactive,Discussion based learning
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CONTENT

Special relativity. Historical experiments and theoretical foundations in quantum mechanics. Quantum theory of light, blackbody radiation, photoelectric effect, Compton effect. Bohr model of atoms, Frank Hertz experiment. De Broglie waves, the wave particle duality, uncertainty principle. The Schrödinger equation. Tunneling phenomena. Quantization of angular momentum, electron spin. Pauli exclusion principle. Fundamentals of statistical physics, Maxwell Boltzmann distribution, indistinguishability and quantum statistics. Selected topics from atomic and solid state physics, complex systems. The course includes demonstration experiments in which the students are involved in performing as well the data analysis.

OBJECTIVE

Refer to the course content

LEARNING OUTCOME

Upon successful completion of the course, students will be able to:
1. Describe the Einstein's postulates of special relativity and explain their consequences.
2. Explain Lorentz transformation of coordinates and velocities.
3. Discuss the historical developments and experiments leading to quantum theory of light.
4. Explain Bohr model of the hydrogen atom.
5. Explain the wave particle duality and uncertainty principle.
6. Describe the meaning of Schrödinger equation and its simple applications.
7. Explain the quantization of physical quantities.
8. Discuss Pauli Exclusion Principle.
9. Discuss basic principles of quantum statistics.

PROGRAMME OUTCOMES


1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 5

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 5

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 5

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 4

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 2


1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems.

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose.

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively.

4. Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose.

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas.

6. Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development.

7. Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility.


1. Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components.

2. Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers.


1. Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics.

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy.

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools.

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 40
Midterm 50
Assignment 10

RECOMENDED or REQUIRED READINGS

Textbook

"Modern Physics" , R.A Surway, C.J. Moses, C.A. Moyer