Swedish for ICT EngineersLaajuus (5 cr)
Code: R504D61
Credits
5 op
Objective
The student is able to manage in working life situations in Swedish using appropriate style. The student can tell about his or her background, (future) job, education, participate in discussions, participate in an informal meeting, write a job application and participate in a job interview. The student can follow and collect information in ICT branch and is able to present ICT companies and ICT products.
Proficiency level CEFR B1-B2
Content
- Background, education, ICT jobs
- Professional terminology of ICT
- ICT companies and products
- Applying a job
- Participating in an informal meeting
- Written and oral assignments and listening tasks
Assessment criteria, satisfactory (1)
The student can tell about his or her background, education, (future) job, present a company and products if given enough time and tools to prepare beforehand. The student is able to use the basic terminology of ICT, uses the basic structures of Swedish mainly correctly.
Assessment criteria, good (3)
The student is able to tell about his or her background, education, (future) job and present company and products fluently in Swedish using appropriate style. The student uses versatile language structures and vocabulary. The student can use appropriate styles without the language skills restraining communication.
Assessment criteria, excellent (5)
The student tells his or her background, education and (future job) very fluently. The student can present ICT companies and products very fluently and accurately using appropriate style. The student uses language structures and pronounces fluently and clearly. The student can use appropriate styles without the language skills restraining communication.
Enrollment
02.10.2023 - 07.01.2024
Timing
29.01.2024 - 31.05.2024
Credits
5 op
Virtual proportion (cr)
3 op
Mode of delivery
40 % Contact teaching, 60 % Distance learning
Teaching languages
- Finnish
Seats
0 - 30
Degree programmes
- Machine Learning and Data Engineering
Teachers
- Päivi Saari
Responsible person
Päivi Saari
Student groups
-
R54D23SBachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2023
Objective
The student is able to manage in working life situations in Swedish using appropriate style. The student can tell about his or her background, (future) job, education, participate in discussions, participate in an informal meeting, write a job application and participate in a job interview. The student can follow and collect information in ICT branch and is able to present ICT companies and ICT products.
Proficiency level CEFR B1-B2
Content
- Background, education, ICT jobs
- Professional terminology of ICT
- ICT companies and products
- Applying a job
- Participating in an informal meeting
- Written and oral assignments and listening tasks
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
The student can tell about his or her background, education, (future) job, present a company and products if given enough time and tools to prepare beforehand. The student is able to use the basic terminology of ICT, uses the basic structures of Swedish mainly correctly.
Assessment criteria, good (3)
The student is able to tell about his or her background, education, (future) job and present company and products fluently in Swedish using appropriate style. The student uses versatile language structures and vocabulary. The student can use appropriate styles without the language skills restraining communication.
Assessment criteria, excellent (5)
The student tells his or her background, education and (future job) very fluently. The student can present ICT companies and products very fluently and accurately using appropriate style. The student uses language structures and pronounces fluently and clearly. The student can use appropriate styles without the language skills restraining communication.
Enrollment
03.10.2022 - 01.01.2023
Timing
02.01.2023 - 31.03.2023
Credits
5 op
Virtual proportion (cr)
2 op
Mode of delivery
60 % Contact teaching, 40 % Distance learning
Teaching languages
- Finnish
Seats
0 - 30
Degree programmes
- Machine Learning and Data Engineering
Teachers
- Päivi Saari
Responsible person
Päivi Saari
Student groups
-
R54D22S
Objective
The student is able to manage in working life situations in Swedish using appropriate style. The student can tell about his or her background, (future) job, education, participate in discussions, participate in an informal meeting, write a job application and participate in a job interview. The student can follow and collect information in ICT branch and is able to present ICT companies and ICT products.
Proficiency level CEFR B1-B2
Content
- Background, education, ICT jobs
- Professional terminology of ICT
- ICT companies and products
- Applying a job
- Participating in an informal meeting
- Written and oral assignments and listening tasks
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
The student can tell about his or her background, education, (future) job, present a company and products if given enough time and tools to prepare beforehand. The student is able to use the basic terminology of ICT, uses the basic structures of Swedish mainly correctly.
Assessment criteria, good (3)
The student is able to tell about his or her background, education, (future) job and present company and products fluently in Swedish using appropriate style. The student uses versatile language structures and vocabulary. The student can use appropriate styles without the language skills restraining communication.
Assessment criteria, excellent (5)
The student tells his or her background, education and (future job) very fluently. The student can present ICT companies and products very fluently and accurately using appropriate style. The student uses language structures and pronounces fluently and clearly. The student can use appropriate styles without the language skills restraining communication.
Enrollment
01.10.2021 - 25.01.2023
Timing
01.02.2022 - 29.04.2022
Credits
5 op
Virtual proportion (cr)
4 op
Mode of delivery
20 % Contact teaching, 80 % Distance learning
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Degree Programme in Information and Communication Technology
Teachers
- Päivi Saari
Responsible person
Päivi Saari
Student groups
-
R54D21SBachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2021
Objective
The student is able to manage in working life situations in Swedish using appropriate style. The student can tell about his or her background, (future) job, education, participate in discussions, participate in an informal meeting, write a job application and participate in a job interview. The student can follow and collect information in ICT branch and is able to present ICT companies and ICT products.
Proficiency level CEFR B1-B2
Content
- Background, education, ICT jobs
- Professional terminology of ICT
- ICT companies and products
- Applying a job
- Participating in an informal meeting
- Written and oral assignments and listening tasks
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
The student can tell about his or her background, education, (future) job, present a company and products if given enough time and tools to prepare beforehand. The student is able to use the basic terminology of ICT, uses the basic structures of Swedish mainly correctly.
Assessment criteria, good (3)
The student is able to tell about his or her background, education, (future) job and present company and products fluently in Swedish using appropriate style. The student uses versatile language structures and vocabulary. The student can use appropriate styles without the language skills restraining communication.
Assessment criteria, excellent (5)
The student tells his or her background, education and (future job) very fluently. The student can present ICT companies and products very fluently and accurately using appropriate style. The student uses language structures and pronounces fluently and clearly. The student can use appropriate styles without the language skills restraining communication.