course-details-portlet

AIS4003 - Fundamentals of Automation and Mechatronics Engineering

About

New from the academic year 2024/2025

Examination arrangement

Examination arrangement: Portfolio
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Portfolio 100/100

Course content

This course aims at levelling out differences in student backgrounds by creating a supportive learning environment that addresses varying levels of preparedness among students.

To this end, the course contains a number of introductory topics, for example:

  • Sensors, data processing, and actuators
  • Common machine mechanisms and robot architectures
  • Microcontrollers, microcomputers, and embedded systems
  • Machine parts and mechanisms
  • Materials and solid mechanics
  • CAD, CAM, and CAE
  • Programming for data analysis and basic machine learning
  • Systems and control
  • Industrial control systems and PLCs
  • Other topics

More details will be provided at the start of the semester.

Learning outcome

Competence

Upon completion of the course, the candidate can

  • use, and learn new theory, methods, and digital tools in the context of automation and mechatronics engineering

Knowledge and skills

Upon completion of the course, the candidate can

  • explain the essence of automation and mechatronics engineering
  • explain and compare theory, functionality, strengths and weaknesses with methods presented in the course
  • demonstrate use of the methods in practice by means of physical prototypes, simulation, or digital tools

Learning methods and activities

Learning activities generally include a mix of lectures, tutorials and practical lab/project work. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.

Further on evaluation

The final grade is based on an overall evaluation of the portfolio, which consists of work that is carried out, documented and digitally submitted during the term. Course topics that fit naturally together will be "grouped" together as course modules, and there will be at least one portfolio submission for each such module. More information about the portfolio will be provided at the start of the semester.

The re-sit exam is an oral exam in August the following year.

Specific conditions

Admission to a programme of study is required:
Mechatronics and Automation (MSMECAUT)

Required previous knowledge

The course has no prerequisites. It is a requirement that students are enrolled in the study programme to which the course belongs.

Course materials

An updated course overview, including curriculum and support material, is presented at the start of the semester.

Some resources may be provided at an earlier stage to allow students to self-study before the semester starts.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English, Norwegian

Location: Ålesund

Subject area(s)
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of ICT and Natural Sciences

Timetable

List view
Calendar view

Examination

Examination arrangement: Portfolio

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Portfolio 100/100

Release
2024-11-25

Submission
2024-11-29


09:00


12:00

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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU