Code ME 412
Term 201802
Title Introduction to the Finite Element Method
Faculty Faculty of Engineering and Natural Sciences
Subject Mechatronics(ME)
SU Credit 3
ECTS Credit 6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Gullu K?z?ltas Sendur gkiziltas@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Prerequisites
(only for SU students)
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Planned Learning Activities Lecture,Project,Recitation,
Content

The course emphasizes the fundamental concepts in finite element analysis, and practical implementation of a working program. The course is divided into two halves. The first half is concentrated on the basic theoretical of the finite element method. The second half will be focused on issues concerning the implementation. Advanced topics will be discussed if time permits. The methods studied in this course are practical procedures that are employed extensively in the mechanical, civil, ocean, aeronautical and electrical industries. Increasingly, the methods are used in computer-aided design.

Objective

To acquaint the students with the methods of analysis and design of nonlinear control systems.

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. 2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 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 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 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. 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 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. 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. 3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 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 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 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.
 Recommended or Required Reading Readings Hassan K. Khalil, Nonlinear Systems, Prentice HallJean-Jaques E. Slotine Weiping Li, Applied Nonlinear Control, Prentice Hall