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Code ME 435
Term 201701
Title Scaling in Engineering Systems
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) Meltem Elitas -melitas@sabanciuniv.edu,
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
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Mode of Delivery Formal lecture,Interactive lecture,Seminar,Recitation
Planned Learning Activities Interactive,Communicative,Discussion based learning,Project based learning,Task based learning,Simulation
Content

The course introduces the scaling laws for engineering systems including multi-scale systems and consists of different scales (nano-, micro-, or macro-scales). When system modeling, design and fabrication processes are being performed, scaling and interaction of different scales become prominent. This course covers the fundamental properties of scales, design theories, modeling methods and manufacturing issues with different applications. Examples of engineering systems include micro -/macro-robotics, micro-/macro-actuators, MEMS, microfluidics, micromanipulators (AFM, microinjection technologies), robotic surgery (da Vinci robots), biosensors, MRI machines, and solar energy panels. Students will master the materials through problem sets, scientific discussions with experts from industry or medicine, and will improve their project presentation skills.

Objective

Reason for proposing the course:To create a platform and provide conditions that is necessary to combine interested scientists and engineers working in the areas of mechatronics, biology, electronics, material science, manufacturing systems who are interested in understanding how to use scaling laws to improve engineering system?s performance, multi- functionality, robustness, intelligent, while decreasing the cost. In addition, to be able to provide full responsibility to students in order to start, progress, result and report their projects for a real life problem which fits best to their interest.
Relationships ? differences in comparison to other courses already present in the catalogue (if any): This course covers the science, technology, and state-of-the-art in multi-scale systems consist of different length scales. Through this course students will learn how to implement scaling laws to engineering systems that they have in other courses and how to combine multi-scale systems consist of different length scales (nano-, micro-, or macro-scales). Through lectures and hands-on projects, participants will learn how scaling effects in nature and biology can be mimicked in engineering applications as a new technology. Bridging multiple courses.

Learning Outcome

Basic differential and integral calculus, demonstrate knowledge in advanced mathematical topics such as linear algebra, differential equations, complex variables, multivariable calculus, as well as computer science and physics, and use such knowledge in the design and analysis of complex systems containing hardware and software components.
Apply modeling and software techniques and their combinations in the design, simulation, realization and integration of systems such as electrical, electronic, control, fluid, mechanical and heat transfer systems using simulation and analysis programs.
Design and conduct research, do experiments, as well as analyze and interpret data.
Modeling and analysis of different engineering systems in conjunction with physical concepts were identified and effect of scaling was formulated.
Affect of Scaling in analyze, design and modeling of different engineering systems, physical phenomenon, their components or processes were investigated using using MATLAB, COMSOL, Basic Statistics in Microsoft Excel, Solidworks.

Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice.
Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects.
Communicate effectively by oral, written, graphical and technological means and have competency in English.
Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team.
Development of critical and analytical thinking and questioning skills.

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. 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. 5
4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 5
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. 5
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. 5
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. 5
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. 4
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. 5
Mechatronics Engineering Program Outcomes Core 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. 5
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. 5
Molecular Biology, Genetics and Bioengineering Program Outcomes Area Electives
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
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. 4
Materials Science and Nano Engineering Program Outcomes Area Electives
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. 1
Computer Science and Engineering Program Outcomes Area Electives
1 Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 4
2 Demonstrate knowledge of discrete mathematics and data structures. 2
3 Demonstrate knowledge of probability and statistics, including applications appropriate to computer science and engineering. 4
Industrial Engineering Program Outcomes Area Electives
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
2 Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 2
3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 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. 3
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. 3
Assessment Methods and Criteria
  Percentage (%)
Midterm 20
Term-Paper 20
Participation 20
Presentation 20
Homework 20
Recommended or Required Reading
Readings

Papers and uploaded book chapters

Course Web SUCourse ME435_ME535