Ders Tanıtım Bilgileri (İngilizce)
1
DERS TANITIM BİLGİLERİ (İNGİLİZCE)
Course Information
Course Name
Code
Semester
Theory
(Saat/Hafta)
Nanoscience
and
Nanotechnology
Prerequisites
Course
Language
Couse Type
Mode of
Delivery (face to
face, distance
learning)
Learning and
Teaching
Strategies
Instructor(s)
Course
Objective
CEAC
420
Spring
3
Learning
Outcomes
Course Content
Application
(Saat/hafta)
Laboratory
(hours/week)
National
Credit
ECTS
3
5
English
Technical Elective
Face to Face
Lecture, Discussion, Question and Answer
Assist. Prof. Dr. Murat Kaya
The overall purpose of the course is to:
 Enable students understand the science of the ``nano`` in physics, engineering,
chemistry, biology and medicine.
 Acquire a basic understanding of the current state of the development of
nanotechnologies.
 Give information about the preparation and characterization techniques of various
types of nanostructures.
 Highlight the major applications of nanoscale phenomena and structures in
technology and science.
 Acquire an understanding of innovation in the nanotechnology sector.
 Give information about problems caused by nanoparticles and safety assessment
for the nanoparticles.
 Basic knowledge of the physical principles, mathematical methods and techniques
appropriate.
 Types of nanostructures.
 Synthesis and characterization techniques.
 An understanding of some of the most common applications of nanoscale
phenomena.
 The importance and application of nanoscience in engineering, chemistry and
biology.
 Information about the safety of nanoparticles.
The state of the art of nanoscience is presented, emphasizing in addition to the width
and interdisciplinarity of the field the rapid progress in experimental techniques and
theoretical studies. The course starts with some general comments, physical principles,
and a number of nanoscale measuring methods with the subsequent lectures on
synthesis and characterization of nanosystems. In the following lectures technological
application of nanoscience are overviewed and the course is concluded with
nanochemistry and nanobiology with finally an extended section on nanomedicine. The
wide application prospects of nanoscience are discussed in the various chapters.
Ders Tanıtım Bilgileri (İngilizce)
References
2
Course Books: 1.) H.-E.Schaefer, Nanoscience, Springer-Verlag Berlin Heidelberg 2010
Other sources:
1.) B. Bhushan, Springer handbook of nanotechnology, Springer-Verlag Berlin
Heidelberg 2004
2.) Z. L. Wang, Characterization of Nanophase Materials, Wiley-WCH, 2000
3.) W.C.W. Chan, Bio-Applications of Nanoparticles, Landes Bioscience and
Springer Science+Business Media, LLC, 2007
4.) D. L. Feldheim, C. A. Foss, Jr., Metal Nanoparticles, Marcel Dekker Inc., 2002
5.) A.I. Kirkland, J.L. Hutchison, Nanocharacterisation, The Royal Society of
Chemistry, 2007
6.) M. Hosokawa, K. Nogi, M. Naito, T. Yokoyama, Elsevier, 2007
7.) G. Schmid, Nanoparticles: From Theory to Application, WILEY-VCH Verlag, 2004
8.) M. Ratner, D. Ratner, Nanotechnology: A Gentle Introduction to the Next Big
Idea, Prentice Hall, 2002
Weekly Course outline
Weeks
1,2
3, 4
5
6
7, 8
9, 10, 11
12, 13, 14
15
16
Topics
Introduction and Some Physical Principles
Synthesis of Nanomaterials
Microscopy – Nanoscopy
Other Characterization Techniques
Nanocrystals – Nanowires – Nanolayers
MIDTERM
Applications of Nanotechnology
Nanochemistry –Chemistry on the
Nanoscale, Catalysis, Renewable Energy,
Batteries, and Environmental Protection
Biology on the Nanoscale
Presentations
FINAL EXAMINATION
Pre-study
Chapter 1
Chapter 3
Chapter 2
Chapter 2
Chapter 4
Chapter 7 ve 9
Chapter 10
Chapter 11 and 12
Assesment methods
Course Activities
Attendance
Laboratory
Application (Quizzes)
Field Activities
Specific Practical Training (if any)
Assignments
Presentation
Projects
Seminars
Midterms
Number
Percentage %
1
1
20
20
1
25
Ders Tanıtım Bilgileri (İngilizce)
Final Exam
1
Total
Percentage of semester activities contributing grade success
Percentage of final exam contributing grade success
Total
Course Category
3
35
100
65
35
100
Core Courses
Major Area Courses
x
Supportive Courses
x
Media and Managment
Skills Courses
Transferable Skill Courses
Workload and ECTS Calculation
Activities
Number
Duration
(Hours)
Total Work Load
Course Duration (x15)
Laboratory
Application (Quizzes)
Specific practical training (if any)
Field Activities
Study Hours Out of Class (Preliminary work,
reinforcement, ect)
Presentation / Seminar Preparation
Projects
Homework assignment
Midterms ( Study duration )
Final ( Study duration )
Total Workload
16
3
48
16
3
48
1
1
10
15
10
15
1
1
15
20
15
20
156
Matrix of the Course Learning Outcomes Versus Program Outcomes
Program Outcomes
Contribution Level*
1 2 3 4
5
1. An ability to apply knowledge of mathematics, science, and engineering to
solve chemical engineering and applied chemistry problems.
2. An ability to analyze and model a domain specific problem, identify and define
the appropriate requirements for its solution.
x
3. An ability to design, implement and evaluate a chemical engineering system or
a system component to meet specified requirements.
4. An ability to use the modern techniques and engineering tools necessary for
chemical engineering practices.
x
x
x
Ders Tanıtım Bilgileri (İngilizce)
4
5. An ability to acquire, analyze and interpret data to understand chemical
engineering and applied chemistry requirements.
6. The ability to demonstrate the necessary organizational and business skills to
work effectively in inter/inner disciplinary teams or individually.
x
7. An ability to communicate effectively in Turkish and English.
x
8. Recognition of the need for, and the ability to access information, to follow
recent developments in science and technology and to engage in life-long
learning.
9. An understanding of professional, legal, ethical and social issues and
responsibilities in chemical engineering and applied chemistry
10. Skills in project and risk management, awareness about importance of
entrepreneurship, innovation and long-term development, and recognition of
international standards and methodologies.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
x