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Code MAT 312
Term 201701
Title Materials Characterization
Faculty Faculty of Engineering and Natural Sciences
Subject Materials Sci.& Nano Eng.(MAT)
SU Credit 4
ECTS Credit 8.00 / 7.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Cleva Ow Yang cleva@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
MAT204
Mode of Delivery Formal lecture,Laboratory
Planned Learning Activities Communicative,Discussion based learning
Content

Material types classified according to atomic composition; material types classified according to application; physical and chemical properties of materials; aspects of materials which might interest a chemist, physicist, and engineer; surface properties of materials compared to bulk properties; molecular and morphological basis of material physico- chemical properties; DSC analysis of materials; TGA analysis; static contact angle analysis; rheometric analysis FT-IR analyses; X-ray diffractometric analysis; solid state NMR analysis.

Objective

The focus of this course will be the analysis and characterization of engineered materials, in order to develop an intuitive understanding of their structure-properties-processing-performance relationships. To this end, a broad selection of commonly used characterization tools will be the subject of discussions and hands-on investigation. In all of these, we will use heat, light, electrons, x-rays, and magnetic fields used to probe the material structure. For each technique, we will address the structural features of the material are being investigated, the interpretation of the results of analysis to deduce information about the structure-property relationship in the material, and how the instruments work. Additionally, these days it is not sufficient to just know facts; you must be able to communicate what you know and learn effectively. To this end, you will learn how to communicate the structure-property relationship in a brief memorandum on each laboratory exercise.

Learning Outcome

describe the material types according the atomic composition, physical/chemical properties and application,
discuss surface properties of materials compared to bulk properties,
demonstrate molecular and morphological basis of materials? physico-chemical properties,
explain the basics, capabilities and limitations of structural, morphological, thermal and mechanical characterization analyses,
identify the appropriate experimental method for a particular characterization problem,
develop a work plan to solve a characterization problem,
utilize some specific instruments for materials characterization,
explain data and the phenomena contained therein from materials analysis experiments.
Understand the process of diffraction and the relation between real and reciprocal lattice,
Evaluate, predict and comment on particular behavior of materials by examining XRD data of materials structures.

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. 2
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. 3
2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 3
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. 5
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. 3
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 4
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. 5
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. 5
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 5
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. 1
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
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
Assessment Methods and Criteria
  Percentage (%)
Exam 30
Other 70
Recommended or Required Reading
Readings

*Microstructural characterization of materials / by D. Brandon, W.D. Kaplan, Wiley, 1999
*A guide to materials characterization and chemical analysis / edited by John P. Sibilia. New York : VCH, c1996.
*Polymer characterization : physical techniques / D. Campbell, J.R. White. United Kingdom, Stanley Thornes (publishers) Ltd.
*Spectroscopy of polymers / by Jack L. Koenig. Amsterdam ; New York : Elsevier, 1999.
*Polymer Characterization: Lab techniques and analysis/ N.P. Cheremisinoff; Noyes Publications NJ-USA
*Materials science and engineering : an introduction / by William D. Callister, Wiley, 2003
* Electronic Properties of Engineering Materials / by James D. Livingston, Wiley, 1999
*Introduction to Solid State Physics / by Charles Kittel