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Code ME 407
Term 201801
Title Embedded 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) Ahmet Onat,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
(only for SU students)
Mode of Delivery Formal lecture,Laboratory
Planned Learning Activities Interactive,Communicative

The Embedded Systems course will provide the fundamental knowledge about embedded systems design methods and technology. Integration of the measurement and actuators with embedded controller, the implementation of the control algorithms and interfacing the embedded controllers to LAN. A semester long project will support the course.


The Embedded Systems course will provide the fundamental knowledge about embedded systems design methods, focusing on the theoretical real-time aspects. The ideas are conveyed as theoretical, and not based on a specific processor architecture. The relationship with actual processors and real-time operating systems is accomplished through laboratory work.

Learning Outcome

Define an embedded system, fundamental concepts of real-time systems, real-time scheduling and resource sharing.
Rate monotonic and earliest deadline first scheduling algorithms and how they react under realistic scheduling scenarios
Identify real-time communication fundamentals and requirements, real-time communication network topologies and several communication protocols, numerical representations and arithmetic on embedded systems
Describe numerical rounding methods, properties of analog to digital converters and digital to analog converters and architectures.
Describe principles of fault tolerant embedded systems: Definitions of faults, errors and error recovery types, and techniques, redundancy, voting, fault containment etc.
Define clock synchronization between networked embedded systems
Through laboratory work, implement the fundamental concepts of embedded systems on a real-time operating system. Concepts such as coding for embedded systems, hardware interfacing, periodic task execution, task communication, measurement of processor utilization and deadlock are learned through demonstration and implementation.

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. 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. 3
4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 3
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. 3
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. 4
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
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. 5
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. 1
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
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. 5
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. 1
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. 2
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. 1
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1
Assessment Methods and Criteria
  Percentage (%)
Final 40
Midterm 35
Written Report 25
Recommended or Required Reading

C.M. Krishna, K.G. Shin, Real-Time Systems, Mc Graw Hill
W.S. Liu, Real-Time Systems, Prentice Hall