Information Technology
| Structure Type: | Study unit |
|---|---|
| Code: | ET00BN16 |
| Curriculum: | ETE 2023 / 2024 / 2025 |
| Level: | Bachelor of Engineering |
| Year of Study: | 2 (2024 / 2025 / 2026) |
| Semester: | Autumn |
| Credits: | 5 cr |
| Responsible Teacher: | Vikström, Thomas |
| Language of Instruction: | English |
Courses
| Impl. | Group(s) | Study Time | Teacher(s) | Language | Enrolment |
|---|---|---|---|---|---|
| 3001 | ETE2023-2, ETE2023-2A, ETE2023-2B, ETE2023-2C, ETE2023-2D | 2024-09-03 – 2024-12-20 | Anni Halkola | English | 2024-08-01 – 2024-09-06 |
The descriptions shown below are for the academic year: 2026
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.