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Code NS 218
Term 201802
Title Fundamentals of Nanoscience
Faculty Faculty of Engineering and Natural Sciences
Subject Natural Sciences(NS)
SU Credit 3
ECTS Credit 6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Gozde ?nce,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
(only for SU students)
Mode of Delivery Formal lecture
Planned Learning Activities Interactive,Discussion based learning,Simulation

Physical principles operative in the 1-100 nm size range. Detailed study of the physics governing behavior of molecules or clusters of molecules at this scale. Inter and intramolecular interactions. Forces driving molecules to flow. Water as a solvent. Self-assembly of molecules.


To expose the student to the emerging field of nanoscience, and to create an interface to current research problems in diverse fields of study.

Learning Outcome

At the end of the course, the learner is expected to have understood the forces operating at the nanoscale (1-100 nm size range). Upon completion of NS218 Fundamentals of Nanoscience, the students should be able to:

1. list the differences between the properties of nano and macroscale materials.
2. state the driving force for heat flow and explain the relation between heat, work and energy.
3. list the thermodynamic driving forces and write the thermodynamic relations using partition functions.
4. using distribution functions and density of states, calculate the total number of occupied states for a given system.
5. predict the effects of a disturbance on a system that is at equilibrium using the Le Chatelier's principle.
6. write the relation between the chemical potential and concentration and use this to decide if a chemical species dissolves in another.
7. derive the diffusion equation and relate the diffusion mechanism to concentration gradients.
8. write the rate equation for a given process and describe the effects of temperature on the rates.
9. determine the electrostatic force exerted by one charged object on another using Gauss' law and describe electrostatic potential.
11. list intermolecular interactions, describe hydrogen bonding and Van der Waals interactions.
12. describe what a phase transition is, give examples to phase transitions and explain how two different phases can be stable at the same time.
13. describe the Langmuir model and explain the driving forces behing atom adsorption on the surfaces.

Programme Outcomes
Common Outcomes For All Programs
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. 1
2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 2
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. 4
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
Common Outcomes ForFaculty of Eng. & Natural Sci.
1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5
2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 2
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. 3
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. 2
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 2
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 1
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. 2
Materials Science and Nano Engineering Program Outcomes Required Courses
1 Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 3
2 Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 2
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 2
Electronics Engineering Program Outcomes Area Electives
1 Use mathematics (including derivative and integral calculations, probability and statistics), basic sciences, computer and programming, and electronics engineering knowledge to design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. 2
2 Analyze and design communication networks and systems, signal processing algorithms or software using advanced knowledge on differential equations, linear algebra, complex variables and discrete mathematics. 1
Mechatronics Engineering Program Outcomes Area Electives
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
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. 2
Assessment Methods and Criteria
  Percentage (%)
Final 30
Midterm 50
Homework 20
Recommended or Required Reading

Dill, K.A., Bromberg, S., and Stigter, D., Molecular Driving Forces, Statistical Thermodynamics in Biology. Garland Science, Taylor & Francis Group, 2002. QC311.5 .D55 2002.


Introduction to Nanoscience, S. M. Lindsay, Oxford.
Intermolecular and Surface Forces (2nd edition), J. Israelachvili, Academic Press.