Applied Data-Analyses and Environmental ModellingLaajuus (5 cr)
Code: AT00CK15
Credits
5 op
Teaching language
- English
Objective
The student is able to
- to utilize digital repositories and cloud services for professional activities
- to search for information from different data sources in the topic area
- to know the most important tools and software used in their profession
- to utilize different calculation programs and tools and apply them in different field / thematic tasks
Enrollment
20.11.2024 - 03.01.2025
Timing
07.01.2025 - 30.04.2025
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus
Teaching languages
- English
Degree programmes
- Bachelor’s Degree Programme in Sustainable Solutions Engineering
Teachers
- Juha Poskela
- Juha Hyytiäinen
Scheduling groups
- Luennot 1 (Size: 500. Open UAS: 0.)
- Avoimen ammattikorkeakoulun kiintiö (Size: 5. Open UAS: 5.)
Groups
-
TLTISSE23SVBachelor’s Degree Programme in Sustainable Solutions Engineering 23SV Lahti
Small groups
- Lecture 1
- Open UAS quota
Learning outcomes
The student is able to
- to utilize digital repositories and cloud services for professional activities
- to search for information from different data sources in the topic area
- to know the most important tools and software used in their profession
- to utilize different calculation programs and tools and apply them in different field / thematic tasks
Implementation and methods of teaching
Online: moodle and zoom. Course also includes independent study and assignments.
Learning material and recommended literature
Course material is handed in Moodle.
Learning environment
Moodle online course.
Student time use and work load
1 ect equals to 27 hours of work.
Contents
- Digital data repositories
- Cloud data services
- Statistical tools and analysis
- GIS tools and analysis
- Visualisation of analysis
Assessment criteria
Evaluation is based on course work and assignments.
Assessment scale
1-5
Failed (0)
Student has not reached learning outcomes of the course.
Assessment criteria: level 1 (assessment scale 1–5)
Student know basic professional vocabulary, has basic know-how and has basic skills to search information and apply it to solve simple tasks and problems.
Student can apply learned techniques to course work and assignments.
Mandatory assignments are completed and approved.
Assessment criteria: level 3 (assessment scale 1–5)
Student know professional vocabulary, has know-how and has skills to search information and apply it to solve tasks and problems.
Student can apply learned techniques in different ways to course work and assignments.
Mandatory assignments are completed and graded at least Good.
Assessment criteria: level 5 (assessment scale 1–5)
Student know professional vocabulary, has know-how, motivation and has skills to search information and apply it to solve tasks and problems.
Student can apply learned techniques in different ways to course work and assignments.
Mandatory assignments are completed and graded excellent.
Enrollment
20.11.2023 - 05.01.2024
Timing
01.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- English
Degree programmes
- Bachelor’s Degree Programme in Sustainable Solutions Engineering
Teachers
- Juha Poskela
- Juha Hyytiäinen
Scheduling groups
- Luennot 1 (Size: 500. Open UAS: 0.)
Groups
-
TLTISSE22SV
Small groups
- Lecture 1
Learning outcomes
The student is able to
- to utilize digital repositories and cloud services for professional activities
- to search for information from different data sources in the topic area
- to know the most important tools and software used in their profession
- to utilize different calculation programs and tools and apply them in different field / thematic tasks
Implementation and methods of teaching
Online: moodle and zoom. Course also includes independent study and assignments.
Learning material and recommended literature
Course material is handed in Moodle.
Learning environment
Moodle online course.
Student time use and work load
1 ect equals to 27 hours of work.
Contents
- Digital data repositories
- Cloud data services
- Statistical tools and analysis
- GIS tools and analysis
- Visualisation of analysis
Assessment criteria
Evaluation is based on course work and assignments.
Assessment scale
1-5
Failed (0)
Student has not reached learning outcomes of the course.
Assessment criteria: level 1 (assessment scale 1–5)
Student know basic professional vocabulary, has basic know-how and has basic skills to search information and apply it to solve simple tasks and problems.
Student can apply learned techniques to course work and assignments.
Mandatory assignments are completed and approved.
Assessment criteria: level 3 (assessment scale 1–5)
Student know professional vocabulary, has know-how and has skills to search information and apply it to solve tasks and problems.
Student can apply learned techniques in different ways to course work and assignments.
Mandatory assignments are completed and graded at least Good.
Assessment criteria: level 5 (assessment scale 1–5)
Student know professional vocabulary, has know-how, motivation and has skills to search information and apply it to solve tasks and problems.
Student can apply learned techniques in different ways to course work and assignments.
Mandatory assignments are completed and graded excellent.
Enrollment
21.11.2022 - 08.01.2023
Timing
01.01.2023 - 31.07.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- English
Degree programmes
- Bachelor’s Degree Programme in Sustainable Solutions Engineering
Teachers
- Juha Poskela
- Hesam Hayati Soloot
Scheduling groups
- Lecture (Size: 0. Open UAS: 0.)
Groups
-
TLTISSE21SV
Small groups
- Lecture
Learning outcomes
The student is able to
- to utilize digital repositories and cloud services for professional activities
- to search for information from different data sources in the topic area
- to know the most important tools and software used in their profession
- to utilize different calculation programs and tools and apply them in different field / thematic tasks
Implementation and methods of teaching
Online: moodle and zoom. Course also includes independent study and assignments.
Timing and attendance
Online lectures. Two hours at a time
Learning material and recommended literature
Course material is handed in Moodle.
Exam retakes
Mandatory assignments are completed and approved.
Learning environment
Moodle online course.
Contents
-
-
-
-
- GIS repositories
- GIS analysis
- Visualisation of GIS analysis
Assessment criteria
Evaluation is based on course work and assignments.
Assessment scale
1-5
Failed (0)
Student has not reached learning outcomes of the course.
Assessment criteria: level 1 (assessment scale 1–5)
Student know basic professional vocabulary, has basic know-how and has basic skills to search information and apply it to solve simple tasks and problems.
Student can apply learned techniques to course work and assignments.
Mandatory assignments are completed and approved.
Assessment criteria: level 3 (assessment scale 1–5)
Student know professional vocabulary, has know-how and has skills to search information and apply it to solve tasks and problems.
Student can apply learned techniques in different ways to course work and assignments.
Mandatory assignments are completed and graded at least Good.
Assessment criteria: level 5 (assessment scale 1–5)
Student know professional vocabulary, has know-how, motivation and has skills to search information and apply it to solve tasks and problems.
Student can apply learned techniques in different ways to course work and assignments.
Mandatory assignments are completed and graded excellent.