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Information Technology

Structure Type: Study unit
Code: ET00BN16
Curriculum: ETE 2025
Level: Bachelor of Engineering
Year of Study: 2 (2026)
Semester: Autumn
Credits: 5 cr
Responsible Teacher: Vikström, Thomas
Language of Instruction: English

Taking the course in advance? See the courses during the academic year 2024-2025.

Learning Outcomes

- The student understands the basic principles of programming and can write short programs using a general-purpose programming language (e.g., Python).
- The student is able to utilize online platforms related to, for example, artificial intelligence, computer vision, etc.

Contents

- Basic programming elements: variables, expressions, conditional statements, loops, arrays, and strings.
- Applied artificial intelligence: computer vision, speech recognition, signal detection from motion sensors.
- Project: Develop a machine learning model to classify clean and dirty objects, and sort them with a robot arm programmed with Python.

Mode of Delivery / Planned Learning Activities and Teaching Methods

- Lectures, exercises, and assignments.
- In the AI section, a project.

Assessment Criteria

Grade 1: The student knows the essential aspects of the course relevant to working life.
Grade 3: The student can make good use of the course content.
Grade 5: The student can creatively apply the course content.

Assessment Methods

Exercises, assignments, project, and an exam.


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