Courses for exchange students - ICT and Automation
ICT and Natural sciences
ICT and Natural sciences
Department of ICT and Natural Sciences is one of five departments at NTNU in Ålesund. We host about 300 students. Our department offers bachelor programmes in automation and intelligent systems and computer engineering, as well as a master programme in mechatronics and automation. Our strong ties with industry and surrounding companies in both education, innovation, and research ensure that our study programmes stay relevant and are up to date. We deliver high-quality education that combines a solid theoretical foundation with the latest technology, methodologies, tools, and equipment. As a student with us, you will be challenged with real-world problems in our educational labs and develop your 21st century human skills at the same time.
These courses are offered at NTNU in Ålesund. It is not possible to combine courses from Ålesund with courses in Trondheim or Gjøvik.
Bachelor's level
Students selecting courses in Automation Engineering (AIS-courses) should have basic knowledge of microcontrollers, object-oriented programming and control theory at university level.
Students selecting courses in computer engineering (IDATA/IE-courses) should have basic knowledge from university level of operating systems, data communication and programming.
Please check entrance requirements and prerequisites listed in the course descriptions. Students who meet the prerequisites for both, might combine IDATA and AIS courses provided compatible time schedules.
Autumn semester 2025
- AIS2201 Signal Processing
- AIS2202 Cybernetics
- AIS2203 Computer Engineering for Cyber-Physical Systems
- AIS2220 Credits Through Practice
- AIS2221 Industrial Project
- *AIS2375 Specialisation in Automation, Computer Engineering, and Artificial Intelligence (7.5 cr)
- IDATA2302 Algorithms and Data Structures
- IDATA2304 Computer Communication and Network Programming
- IDATA2503 Mobile Applications
- IDATA2504 Game Development
- IDATA2505 Credits Rewarding Practice
- IE500417 Data Processing and Visualization
- IE500618 Machine Learning
Spring semester 2026
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AIS2101 Intelligent Systems
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*AIS2375 Specialisation in Automation, Computer Engineering, and Artificial Intelligence (7.5 cr)
- *AIS2901 Bachelor Thesis in Engineering
- IDATA2301 Web Technologies
- IDATA2305 Operating Systems with System Programming
- IDATA2306 Application Development
* The AIS2375 Specialisation in Automation, Computer Engineering, and Artificial Intelligence course and AIS2901 Bachelor Thesis are individual self-study courses under supervision. The courses are only available to particularly motivated and skilled students and requires that a suitable supervisor is available. The learning activities and learning outcomes must be agreed upon by the student and the supervisor and approved by the academic director of the AIS study programme.
Master's level
An exchange student may also be able to take courses at Master level if the student has a background qualifying for admission to Master of Science in Mechatronics and Automation. Please check admission requirements.
Autumn semester 2025 – Master level courses
- AIS4001 Cybernetics and Robotics
- AIS4003 Fundamentals of Automation and Mechatronics Engineering
- MMA4002 Design for Automated Manufacturing
- **AIS4104 Robotics and Intelligent Systems with Project (part 1 of 2)
- *AIS4501 Specialisation Project (15 cr)
- *AIS4900 Master Thesis in Mechatronics and Automation (30 cr)
Spring semester 2026 – Master level courses
- AIS4002 Intelligent Machines
- AIS4004 Digital Twins for Predictive Maintenance
- **AIS4104 Robotics and Intelligent Systems with Project (part 2 of 2)
- *AIS4501 Specialisation Project (15 cr)
- *AIS4900 Master Thesis in Mechatronics and Automation (30 cr)
* The courses AIS4501 Specialisation Project and AIS4900 Master Thesis in Mechatronics and Automation are individiual self-study project courses under supervision. The courses are only available to particularly motivated and skilled students and require that a suitable supervisor is available. The learning activities and learning outcomes must be agreed upon by the student and the supervisor and approved by the academic director of the AIS study programme.
** The course AIS4104 Robotics and Intelligent Systems with Project runs for two semesters (autumn and spring) and both parts must be completed to pass the course.
Other courses
- Norwegian for foreign exchange students (7.5 ECTS) - offered both Autumn and Spring.
NOTE: If the number of international students is less than 2, lectures might be taught in Norwegian. In such cases, the department will offer students individual tutoring in English as a supplement enabling students to still attend the course. International students attend training sessions or lab sessions along with other students also in courses where individual tutoring replace lectures.