IKT456 Artificial Intelligence Engineering
- ECTS Credits:
- 7.5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Christian Walter Peter Omlin
- Lecture Semester:
- Autumn
- Teaching language:
- English.
- Duration:
- 1 term
The course is connected to the following study programs
- Artificial Intelligence and The Internet of Things, Master's Programme
- Artificial Intelligence, 5-year master programme
Teaching language
English.Course contents
One of the biggest obstacles of a wider adoption of AI is the need to know whether such systems will work as expected once deployed in real world environments. This requires knowing the right questions to ask and solutions to use when attempting to use AI in real-world settings. AI engineering is emerging as a new distinct field of practice combining established principles of software engineering, systems, computer science, and human-centered design to enable implementation of AI systems in accordance with requirements. Whereas today’s focus is mainly on AI capability development, AI engineering asks what is needed to develop, deploy, and maintain AI systems in unpredictable environments.
Learning outcomes
After completion of the course, the students should
- have a working knowledge of the different stages of AI development
- have acquired the skills necessary for the analysis and operational requirements to build deployable AI models
- be able to apply high-level tools to engineer functioning AI models and systems
- be able to integrate AI into existing real-world systems
- be able to overcome some challenges when designing AI products and services
Teaching methods
The course is organized with a combination of (guest) lectures and projects. The workload for the average student is approximately 200 hours.
Evaluation
The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.
Offered as Single Standing Module
Yes, if there are places available
Admission Requirement if given as Single Standing Module
Admission requirements for the course are the same as for the master’s programme in ICT.
Assessment methods and criteria
Semester project, individual or in groups. Graded assessment.