Risk management is the identification, evaluation, and prioritization of risks (defined in ISO 31000 as the effect of uncertainty on objectives) followed by coordinated and economical application of resources to minimize, monitor, and control the probability or impact of unfortunate events or to maximize the realization of opportunities.

Risks can come from various sources including uncertainty in financial markets, threats from project failures (at any phase in design, development, production, or sustaining of life-cycles), legal liabilities, credit risk, accidents, natural causes and disasters, deliberate attack from an adversary, or events of uncertain or unpredictable root-cause.

1.Introduction.
2.Basic concept of vehicle system
3.Sensors and Actuators.
4.Engine management and control.
5.Transmission control.
6.Suspension control.
7.Steering control.
8.Brakes control.
9.Hybrid vehicle control.
10.Vehicle control systems for overall performance.

Typical groups of fuzzy systems, traditional fuzzy relationships, fuzzy groups functions, mathematical functions to transform fuzzy, ambiguous rules, decision-making fuzzy policy, fuzzy ratings, fuzzy control systems.

Project planning as a process is output oriented. It is concerned with deciding in advance what, when, how, and who will take the necessary actions to accomplish established objectives. In this context planning is a pervasive management function which is accomplished by all levels in the project hierarchy(l), the difference being scope, detail, and the magnitude of the effort. Planning forms the foundation for future actions, using the past as a guide. The purpose of this course is to examine the project environment for planning, to consider the purpose of planning, to focus on the stages of project planning, to evaluate the elements of planning for the project, and to discuss the role of decision-making in project planning. The first concern is the planning process and environment.

Biomechatronics is an applied interdisciplinary science that aims to integrate biology, mechanics, and electronics. It also encompasses the fields of robotics and neuroscience.

Biomechatronic devices encompass a wide range of applications from the development of prosthetic limbs to engineering solutions concerning respiration, vision, and the cardiovascular system

Welcome to EAE&AT, it is a great opportunity to join our academy not only for building your future by gaining scientific knowledge, but also to build balanced healthy social relations.

You will spend most of your day among your peers involving in social events, projects, and other useful teamwork-based activities.

In EAE&AT we are keen to build your personality regarding all the aspects since in real-life scientific competency is not everything. You have to be able to work in a team and to be an active member. Consequently, you will become an active and successful leader.

Nowadays we are living in a world which depends on computer-controlled systems. Consequently, artificial intelligence is now conquering our daily life. Machines now recognize moves, voices, images, etc. many algorithms are developed to give machines abilities comparable to human intelligence. One of the most successful techniques is Artificial Neural Networks (ANN), which imitate the biological neurons in the human brain. Based on ANN robots became more intelligent and capable of acting more like humans.    Because of this revolution in machine intelligence, the importance of this course arises. 

In this course the basics of ANN are introduced by covering the following topics:

  • A brief introduction to the biological neurons
  • Artificial neurons
  • Different Activation functions
  • Artificial Neural Networks
  • Learning Techniques