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Code ME 415
Term 201802
Title Computational Analysis and Simulation
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) Serhat Yesilyurt syesilyurt@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
MATH202 MATH201
Mode of Delivery Formal lecture,Interactive lecture,Recitation
Planned Learning Activities Interactive,Communicative,Project based learning,Simulation
Content

Focus of the course is on the state-of-the-art computational modeling techniques used in disciplines such as structural mechanics, fluid mechanics, heat transfer and electromagnetics. Emphasis is on the numerical solution methods of partial differential equations and their use in computational analysis and simulations for engineering design. There will be a number of case studies and examples to enhance the lectures with examples. Topics covered are: basic numerical methods for root-finding, solution of linear system of equations and ordinary-differential equations, finite-difference solution of parabolic, elliptic and hyperbolic partial- differential equations and finite-element solution of elliptic PDEs such as Poisson equation in 1D.

Learning Outcome

Demonstrate understanding and implementation of numerical solution algorithms applied to root finding problems.
Demonstrate understanding and implementation of numerical solution algorithms applied to solving linear systems of equations.
Demonstrate understanding of methods for finding eigenvalues and eigenvectors of matrices.
Demonstrate understanding and implementation of numerical solutions to of initial value problems.
Possess ability to model and analyze engineering problems governed by partial differential equations such as conduction, diffusion, beam and plate bending.
Select appropriate efficient and stable numerical solution method for the engineering problem at hand.
Demonstrate understanding and implementation of finite-difference methods for solution of boundary value problems and partial-differential equations.
Apply numerical methods to obtain approximate solutions to mathematical problems.
Demonstrate understanding of the role of error in numerical solutions
Demonstrate understanding of numerical methods for integration and differentiation

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. 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. 1
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. 4
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 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 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.
1 Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics.
2 Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them.
Assessment Methods and Criteria
  Percentage (%)
Midterm 50
Participation 0
Individual Project 25
Homework 25
Recommended or Required Reading
Readings

Numerical Methods Using MATLAB, 4th ed, J.H. Mathews, K.D. Fink, Pearson, 2004.
Applied Numerical Methods for Engineers Using MATLAB and C, Schilling and Harris, Brooks & Cole, 2001
Finite Difference Methods for Ordinary and Partial Differential Equations, R.J. LeVeque, SIAM, 2007.
COMSOL modeling library, Comsol Inc (available online)