3D + Robotics - DIG007AS3AE - Opinto-opas

3D + Robotics, 3 cr - DIG007AS3AE

Upcoming implementations

3D + Robotics DIG007AS3AE-3002 13.01.2025-14.03.2025 3 op (ITB5PADIG1, ...) +-
Teaching methods and instruction

On the course, students will build a robotic or IoT device of their choice.

Advanced 3D printing projects are also considered.

Learning material and recommended literature

Arduino manuals, such as the Freenove Arduino Manual, Randomnerdtutorials.com and comparable sites.

Working life connections

Not as such.

Campus

Pasila Campus

Exam dates and re-exam possibilities

No exams.

Teaching language

English

Internationality

Not as such.

Timing

13.01.2025 - 14.03.2025

Learning assignments

The course will be graded based on the product and the blog entry that describes the process.

Enrollment

02.01.2025 - 10.01.2025

Content scheduling

As in the scheduling software.
Groups
- ITB5PADIG1
- CONTACT
- ITE5PADIG1
- BLENDED
- IT5PADIG1
Alternative learning methods

Not as such.

Teachers

Heikki Hietala

Seats

15 - 40

Further information

1 - the student's product meets expectations on some level, or a basic 3D print.
3 - the student's product is more complex and fulfils expectations better, or a more complex 3D print
5 - the student's product exceeds expectations, or, a very versatile and complex 3D print.

Degree Programme

TRATI Tradenomi tietojenkäsittely

R&D proportion

0.00 cr

Virtual proportion

2.00 cr

Evaluation scale

H-5

Current implementations

No ongoing implementations yet.

Past implementations

3D + Robotics DIG007AS3AE-3003 19.08.2024-11.10.2024 3 op (ITB5PADIG1, ...) +-
Learning material and recommended literature

Arduino manuals, such as the Freenove Arduino Manual, Randomnerdtutorials.com and comparable sites.

Campus

Pasila Campus

Teaching language

English

Timing

19.08.2024 - 11.10.2024

Enrollment

03.06.2024 - 16.08.2024
Groups
- ITB5PADIG1
- CONTACT
- ITE5PADIG1
- BLENDED
- IT5PADIG1
Teachers

Heikki Hietala

Seats

15 - 40

Degree Programme

TRATI Tradenomi tietojenkäsittely

R&D proportion

0.00 cr

Virtual proportion

2.00 cr

Evaluation scale

H-5
3D + Robotics DIG007AS3AE-3001 15.01.2024-15.03.2024 3 op (ITB5PADIG1, ...) +-
Campus

Pasila Campus

Teaching language

English

Timing

15.01.2024 - 15.03.2024

Enrollment

02.01.2024 - 12.01.2024
Groups
- ITB5PADIG1
- BLENDED
- IT5PADIG1
- CONTACT
Teachers

Heikki Hietala

Seats

15 - 40

Degree Programme

TRATI Tradenomi tietojenkäsittely

R&D proportion

0.00 cr

Virtual proportion

2.00 cr

Evaluation scale

H-5

After passing this course, the student has enhanced skills for 3D modeling, 3D scanning, 3D printing or working with robotics or IoT. He/she is able to apply skills and knowledge from past courses.

It is recommended that the student has passed some previous courses such as Innovation and prototyping, Basic 3D Design with Blender, or IoT Experimental Project.

This course is for the most part individual stury, but guidance will be made available for 2 h / week either on site or online.

This is an eight week nonstop course. Its structure and contents will vary depending on the student project. The project can be a student project, a project for use at the 3D + Robo Lab, or a client project. Example topics for students to choose from:

• 3D Modeling for gaming or virtual world applications
• 3D Printing
• 3D Scanning
• Robotics and SoC (System on a Chip, such as Arduino, Raspberry PI tai ESP32) projects
• Internet of Things projects with Raspberry PI- tai ESP32 devices
• Developing the Haaga-Helia 3D + Robo Lab with modeling, scanning, printing or robotics projects
• Teaching 3D printing to other students as tutors
• Student project in which the topic and the scope are agreed upon individually.

The course is based on independent student work under teacher supervision. After the topic is agreed upon, the student proceeds to complete the project using the resources of the 3d + Robo Lab. If there is a client, the teacher will act as intermediary towards the client, unless otherwise agreed.

It is possible to complete the course in a group of 2 to 4 students.

It is possible to pass the course using recognition of prior learning (RPL).

Arduino manuals, such as the Freenove Arduino Manual, Randomnerdtutorials.com and comparable sites.

This course is aimed at people who have taken the DIG002AS2AE Innovation and Prototyping, or DIG008AS3AE IoT Experimental Project course, or have some background in any of these fields. In this course you can deepen your skills via building robots, IoT devices, or any other project that either you or a client can think of. It is based on your ideas, skill set, and especially the desire to learn robotics by doing. At your disposal you have all the resources of the Haaga-Helia 3D + Robo Lab, which is well stacked with parts and 3D printers.

This course is intended to enable wider use for the 3D + Robo Lab, and to allow for client projects to start even in the middle of terms.

When the implementation type of the course is contact, online or blended it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25 %, your grade will be lowered by one. If you are absent more than 50 %, the course is failed.

It is recommended that the student has completed Innovation and prototyping, Basic 3D Design with Blender, or IoT Experimental Project, but these are not prerequisites.

The students produces a minimum viable product which satisfies at least the basic requirements set for the project at the start. The student learning diary fulfils the minimum criteria regarding content, understandability and readability. The diary shows scant development in student capabilities.

The student produces a functioning project which satisfies most of the requirements set for the project at the start. The student learning diary is of good content, understandability and readability. The diary shows good development in student capabilities.

The student produces a functioning project which completely satisfies or exceeds the requirements set for the project at the start. The student learning diary is very well made and has high quality content, understandability and readability. The diary shows excellent development in student capabilities. The student learning diary contains ideas and opportunities for further development or alternative methods for the project.

Grades 1 - 5.