Course - Automation, introduction - AIST1001
Automation, introduction
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About the course
Course content
Introduction to automation-relevant topics and terminology. Introduction to control theory using simple examples. Introduction of phenomena and concepts in dynamic (time variable) systems. Modelling and simulation of simple physical systems. Introduction to numerical tools (MATLAB and Simulink), microcontrollers (e.g. Arduino), robotics (kinematics), and artificial intelligence (machine learning and artificial neural networks). Other topics are possible.
Learning outcome
Knowledge: The candidate can explain
- the general structure of a control system;
- the behavior of controllers with P, I and D action;
- about the origin and effect of nonlinearities on a control system;
- control principles such as feedback and feed-forward control;
- how a simple artificial neural network works.
Skills: The candidate can
- model physical systems with first- and second-order differential equations;
- simulate dynamic systems using numerical tools;
- analyze a dynamical system consisting of a first- or second-order differential equation;
- solve simple kinematics problems;
- design simple regulators and tune them;
- carry out smaller control engineering projects, both individually and in a team.
General competence: Communicate about professional issues both with specialists and the general public. Basic system understanding.
Digitalization: The course contributes by enabling the candidate to use modern computer tools as an aid in all mentioned skill moments.
Learning methods and activities
Lectures, exercises, laboratory assignments and a practical project.
Compulsory assignments
- Exercises
Further on evaluation
The final grade in the course is based on a written exam which counts 70% and oral project presentation in groups counting 30%. Four out of six exercises and three laboratory assignments must also be approved in order to be admitted to the exam. If there is a re-sit examination, the examination form may be changed from written to oral. The re-sit examination is scheduled for August and applies only to the written exam.
Specific conditions
Admission to a programme of study is required:
Automation and Intelligent Systems - Engineering (BIAIS)
Recommended previous knowledge
None.
Required previous knowledge
For applications for credentials, approval and incorporating of courses from other institutions' corresponding education programs, each application will be processed individually and the applicant should expect credit reductions for overlapping courses.
Course materials
Textbook is announced at the start of the semester.
Subject areas
- Engineering Cybernetics
- Engineering Subjects
Contact information
Course coordinator
Department with academic responsibility
Examination
Examination
Ordinary examination - Autumn 2024
School exam
The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.