Objectives and competences for trainers and trainees
I am able to describe AI, to recognize AI systems and to distinguish AI systems from other concepts and systems
I can describe artificial intelligence
I can recognize if a given system is based on artificial intelligence
I know the areas of application of AI and their use cases and I am aware of the technical, social, ethical and legal implications
I can name areas of AI and give specific examples of AI implementations
A I can understand the technical, economic, ethical and legal implications of the application of AI
I am able to formalize a problem and to apply algorithms and data structures to solve this problem
I am aware of different problem representations
I can formalize a problem
I can explain basic data structures
I can use algorithms to solve a problem
I can assess the basic properties of search algorithms
I am able to design and practically implement a very simple AI system for a given application
I can translate an algorithm into code
I can implement a very simple AI system
I can assess the correctness of my solution
Additional didactical competences for trainers
I am able to select and use an adequate teaching method that meets the student’s need for instruction
I can name different teaching methods
I can apply different teaching methods
I can assess different teaching methods
I understand and adopt the learner-centered approach of the program
I can explain the learner-centered approach
I can assess the pros and cons of the learner-centered approach
I can apply the learner-centered approach
I am familiar with the assessment criteria of the EDLRIS program
I can define the assessment criteria of the EDLRIS program
I can select teaching material that meets the requirements of the assessment of the EDLRIS program
I am familiar with the online training approach applied in the EDLRIS program
I can manage online training courses of the EDLRIS program.
I can support online training courses of the EDLRIS program.
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