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.
Scaling in Engineering Systems (ME 535)
| Programs\Type | Required | Core Elective | Area Elective |
| Computer Science and Engineering - With Bachelor's Degree | * | ||
| Computer Science and Engineering - With Master's Degree | * | ||
| Computer Science and Engineering - With Thesis | * | ||
| Cyber Security - With Bachelor's Degree | * | ||
| Cyber Security - With Master's Degree | * | ||
| Cyber Security - With Thesis | * | ||
| Data Science - With Thesis | * | ||
| Electronics Engineering and Computer Science - With Bachelor's Degree | * | ||
| Electronics Engineering and Computer Science - With Master's Degree | * | ||
| Electronics Engineering and Computer Science - With Thesis | * | ||
| Electronics Engineering - With Bachelor's Degree | * | ||
| Electronics Engineering - With Master's Degree | * | ||
| Electronics Engineering - With Thesis | * | ||
| Energy Technologies and Management-With Thesis | * | ||
| Industrial Engineering - With Bachelor's Degree | * | ||
| Industrial Engineering - With Master's Degree | * | ||
| Industrial Engineering - With Thesis | * | ||
| Leaders for Industry Biological Sciences and Bioengineering - Non Thesis | * | ||
| Leaders for Industry Computer Science and Engineering - Non Thesis | * | ||
| Leaders for Industry Electronics Engineering and Computer Science - Non Thesis | * | ||
| Leaders for Industry Electronics Engineering - Non Thesis | * | ||
| Leaders for Industry Industrial Engineering - Non Thesis | * | ||
| Leaders for Industry Materials Science and Engineering - Non Thesis | * | ||
| Leaders for Industry Mechatronics Engineering - Non Thesis | * | ||
| Manufacturing Engineering - Non Thesis | * | ||
| Manufacturing Engineering - With Bachelor's Degree | * | ||
| Manufacturing Engineering - With Master's Degree | * | ||
| Manufacturing Engineering - With Thesis | * | ||
| Materials Science and Nano Engineering-(Pre:Materials Science and Engineering) | * | ||
| Materials Science and Nano Engineering-(Pre:Materials Science and Engineering) | * | ||
| Materials Science and Nano Engineering - With Thesis (Pre.Name: Materials Science and Engineering) | * | ||
| Mathematics - With Bachelor's Degree | * | ||
| Mathematics - With Master's Degree | * | ||
| Mathematics - With Thesis | * | ||
| Mechatronics Engineering - With Bachelor's Degree | * | ||
| Mechatronics Engineering - With Master's Degree | * | ||
| Mechatronics Engineering - With Thesis | * | ||
| Molecular Biology, Genetics and Bioengineering (Prev. Name: Biological Sciences and Bioengineering) | * | ||
| Molecular Biology, Genetics and Bioengineering-(Prev. Name: Biological Sciences and Bioengineering) | * | ||
| Molecular Biology,Genetics and Bioengineering-With Thesis (Pre.Name:Biological Sciences and Bioeng.) | * | ||
| Physics - Non Thesis | * | ||
| Physics - With Bachelor's Degree | * | ||
| Physics - With Master's Degree | * | ||
| Physics - With Thesis | * |
CONTENT
OBJECTIVE
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 OUTCOMES
- 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.
Update Date:
ASSESSMENT METHODS and CRITERIA
| Percentage (%) | |
| Midterm | 30 |
| Participation | 10 |
| Group Project | 30 |
| Written Report | 10 |
| Presentation | 10 |
| Homework | 10 |