JavaScript Algorithms and Data StructuresLaajuus (10 cr)
Code: TT00EX19
Credits
10 op
Teaching language
- English
Timing
01.01.2024 - 31.12.2027
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 10000
Degree programmes
- Degree Programme in Information Technology
Teachers
- Janne Salonen
Groups
-
IT_path_180_ectsInformation Technology, Open path 180 ECTS
Location and time
Course is 100% online (self-study) course which can be done in own pace. Study environments are Metropolia's Viope and Moodle.
Materials
Online in study environments Metropolia's Viope and Moodle.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
Online.
International connections
N/A
Completion alternatives
N/A
Student workload
Depends on the student's baseline.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment methods and criteria
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Enrollment
02.12.2022 - 31.12.2022
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
VIOPE_NonStop6VIOPE_NonStop6
Evaluation scale
Hyväksytty/Hylätty
Enrollment
02.12.2022 - 31.12.2022
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_9Viope_nonstop_9
Evaluation scale
Hyväksytty/Hylätty
Enrollment
02.12.2022 - 31.12.2022
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_11Viope_nonstop_11
Evaluation scale
Hyväksytty/Hylätty
Enrollment
02.12.2022 - 31.12.2022
Timing
01.08.2023 - 31.07.2024
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_12Viope_nonstop_12
Evaluation scale
Hyväksytty/Hylätty
Enrollment
02.12.2022 - 31.12.2022
Timing
01.08.2023 - 31.07.2024
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Degree programmes
- Information and Communication Technology
Teachers
- Janne Salonen
Teacher in charge
Janne Salonen
Groups
-
Viope_nonstop_13Viope_nonstop_13
Evaluation scale
Hyväksytty/Hylätty
Timing
01.01.2022 - 31.12.2026
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Unit
School of ICT
Campus
Karaportti 2
Teaching languages
- English
Seats
0 - 1000
Degree programmes
- Degree Programme in Information Technology
Teachers
- Janne Salonen
Groups
-
ATX23TV_KEVÄTATX23TV_KEVÄT
Location and time
Course is 100% online (self-study) course which can be done in own pace. Study environments are Metropolia's Viope and Moodle.
Materials
Online in study environments Metropolia's Viope and Moodle.
Teaching methods
Course is 100% online (self-study) course which can be done in own pace.
Employer connections
N/A
Exam schedules
Online.
International connections
N/A
Completion alternatives
N/A
Student workload
Depends on the student's baseline.
Content scheduling
Up to student her-/himself.
Evaluation scale
Hyväksytty/Hylätty
Assessment methods and criteria
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.