Course - Automation, introduction - AIST1001
AIST1001 - Automation, introduction
About
New from the academic year 2023/2024
Examination arrangement
Course content
Introduction to automation-relevant topics and terminology, including sequence control, automatic control and computer control. 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 (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 dynamical systems using numerical tools;
- analyze a dynamical system consisting of a first- or second-order differential equation;
- 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%. Three out of five 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.
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.
No
Version: 1
Credits:
7.5 SP
Study level: Foundation courses, level I
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: Norwegian
Location: Trondheim
- Engineering Cybernetics
- Engineering Subjects
Department with academic responsibility
Department of Engineering Cybernetics
Examination
Examination arrangement: Aggregate score
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 70/100 D 2023-11-30 15:00 INSPERA
-
Room Building Number of candidates SL310 turkis sone Sluppenvegen 14 50 SL323 Sluppenvegen 14 1 SL228 Sluppenvegen 14 1 - Autumn ORD Project presentation 30/100 E
-
Room Building Number of candidates - Summer UTS School exam 70/100 D INSPERA
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"