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3D Reality Capture Technologies and Open Data in AECLaajuus (3 cr)

Code: T300FC50

Credits

3 op

Objectives

This course will provide the student with basic understanding how to utilise modern 3D reality capture technologies and publicly available open geospatial data in Architecture, Engineering and Construction (AEC) related projects. The student will get an overview of point clouds, 3D laser scanning, photogrammetry and drones, scan-to-model processes and the related software tools.

Content

The following topics will be covered during the course:
- Coordinate and height systems, traditional surveying methods and equipment,
- Terrestrial laser scanning, workflows and equipment, georeferencing
- Point cloud software and point cloud post-processsing
- 3D data file formats and interoperability
- Scan-to-model workflows and importing point clouds to modeling/engineering software
- Basic principles of photogrammetry
- Camera drones and photogrammetry
- Photogrammetry software
- Open geospatial data, sources and software for processing it

Prerequisites

Basic knowledge of surveying, GIS or CAD/BIM software is recommended, but not mandatory.

Assessment criteria, satisfactory (1-2)

The student is able to identify and define the basics of the course and solve simple questions
applications that are similar to the tasks being handled.

Assessment criteria, good (3-4)

In addition to the above, the student is able to choose the most suitable one by applying and comparing different options
policy and justify their choices.

Assessment criteria, excellent (5)

In addition to the above, the student has a comprehensive understanding of the course topics and their use
problem solving; and the ability to present, analyze, and justify logically handled issues and methods of solution.

Further information

The teaching include lectures and exercises. Exercises are done both in groups and individually. The exam will be split to five smaller tests during the course. These tests will be arranged in Tabula environment in the beginning of the lectures and their schedule will be informed during the course.

Enrolment period

01.01.2025 - 31.01.2025

Timing

01.01.2025 - 31.07.2025

Credits

3 op

Mode of delivery

Contact teaching

Unit

Construction Engineering

Campus

TAMK Main Campus

Teaching languages
  • English
Seats

0 - 20

Degree programmes
  • Degree Programme in Construction Engineering, students who began in 2014-2018
Teachers
  • Jouko Liuha
Person in charge

Jouko Liuha

Groups
  • 21I351

Objectives (course unit)

This course will provide the student with basic understanding how to utilise modern 3D reality capture technologies and publicly available open geospatial data in Architecture, Engineering and Construction (AEC) related projects. The student will get an overview of point clouds, 3D laser scanning, photogrammetry and drones, scan-to-model processes and the related software tools.

Content (course unit)

The following topics will be covered during the course:
- Coordinate and height systems, traditional surveying methods and equipment,
- Terrestrial laser scanning, workflows and equipment, georeferencing
- Point cloud software and point cloud post-processsing
- 3D data file formats and interoperability
- Scan-to-model workflows and importing point clouds to modeling/engineering software
- Basic principles of photogrammetry
- Camera drones and photogrammetry
- Photogrammetry software
- Open geospatial data, sources and software for processing it

Prerequisites (course unit)

Basic knowledge of surveying, GIS or CAD/BIM software is recommended, but not mandatory.

Further information (course unit)

The teaching include lectures and exercises. Exercises are done both in groups and individually. The exam will be split to five smaller tests during the course. These tests will be arranged in Tabula environment in the beginning of the lectures and their schedule will be informed during the course.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to identify and define the basics of the course and solve simple questions
applications that are similar to the tasks being handled.

Assessment criteria, good (3-4) (course unit)

In addition to the above, the student is able to choose the most suitable one by applying and comparing different options
policy and justify their choices.

Assessment criteria, excellent (5) (course unit)

In addition to the above, the student has a comprehensive understanding of the course topics and their use
problem solving; and the ability to present, analyze, and justify logically handled issues and methods of solution.

Exam schedules

The exam will be arranged in the end of the course.

Assessment methods and criteria

Activity and participation in lectures: Obligatory 80 % presence activity.
Assignments shall be submitted by their deadlines. Exceptions accepted only if agreed in advance with teachers.

Credit value 0 - 5 according to the level of competence.
Final grade will be formed as follows:
Exam: 100 %, evaluation 0-5
Assignments: Evaluation Approved/Rejected. By submitting all assignments and getting them approved has +0.5 impact to the final grade.

Assessment scale

0-5

Teaching methods

The teaching includes lectures, exercises and assignments. Exercises and assignments are done both in groups and individually.
Traficom's theory test for drone pilot certification is performed during the course. The certification is one of the course assignments.
The course exam is arranged on Moodle platform in the end of the course.

Learning materials

The study material will be available during the course on the moodle platform.
The self-study material for A1/A3 open category pilot test is provided by Traficom on droneinfo.fi -pages.
Additional recommended literature will be specified during the course.

Student workload

Lectures and exercises,and exam 40 hours.
Self-learning (incl. assignments and preparation for tests, etc.) 41 hours.

Content scheduling

During the third period the emphasis is on lectures and software exercises.
Outdoor exercises are mainly during the fourth period, because of the weather conditions.

Completion alternatives

None.

Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)

The student can:
- explain the basics of coordinate and height systems
- explain the principles of total station and GNSS based surveying methods
- use terrestrial laser scanner and targets for capturing 3D point cloud
- use a photogrammetric software to create a simple photogrammetric model based on photographs
- plan a photogrammetric drone mission
- download NLS aerial laser scanning data and analyse it with point cloud software

Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)

In addition to the aforementioned skills the student can:
- select and use appropriate surveying methods for georeferencing 3D point clouds
- select the correct coordinate and height system for georeferencing
- select suitable 3D reality capture tools for different projects
- register 3D point cloud and analyse it
- select appropriate 3D data file format and import the data to engineering/modeling software
- use point cloud data in selected engineering/modeling software
- create a DEM based on NLS open data

Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)

The student can apply all aforementioned skills & tools
- to merge 3D data from different sources and in different formats & coordinate systems
- to produce accurate 3D reality capture data for design and visualization purposes

Enrolment period

01.08.2023 - 31.08.2023

Timing

31.08.2023 - 14.12.2023

Credits

3 op

Mode of delivery

Contact teaching

Unit

Construction Engineering

Campus

TAMK Main Campus

Teaching languages
  • English
Seats

0 - 20

Degree programmes
  • Degree Programme in Construction Engineering, students who began in 2014-2018
Teachers
  • Kalle Tammi
  • Kalle Tammi
Person in charge

Kalle Tammi

Groups
  • 23KVRY
  • 20I800
  • 21I800

Objectives (course unit)

This course will provide the student with basic understanding how to utilise modern 3D reality capture technologies and publicly available open geospatial data in Architecture, Engineering and Construction (AEC) related projects. The student will get an overview of point clouds, 3D laser scanning, photogrammetry and drones, scan-to-model processes and the related software tools.

Content (course unit)

The following topics will be covered during the course:
- Coordinate and height systems, traditional surveying methods and equipment,
- Terrestrial laser scanning, workflows and equipment, georeferencing
- Point cloud software and point cloud post-processsing
- 3D data file formats and interoperability
- Scan-to-model workflows and importing point clouds to modeling/engineering software
- Basic principles of photogrammetry
- Camera drones and photogrammetry
- Photogrammetry software
- Open geospatial data, sources and software for processing it

Prerequisites (course unit)

Basic knowledge of surveying, GIS or CAD/BIM software is recommended, but not mandatory.

Further information (course unit)

The teaching include lectures and exercises. Exercises are done both in groups and individually. The exam will be split to five smaller tests during the course. These tests will be arranged in Tabula environment in the beginning of the lectures and their schedule will be informed during the course.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to identify and define the basics of the course and solve simple questions
applications that are similar to the tasks being handled.

Assessment criteria, good (3-4) (course unit)

In addition to the above, the student is able to choose the most suitable one by applying and comparing different options
policy and justify their choices.

Assessment criteria, excellent (5) (course unit)

In addition to the above, the student has a comprehensive understanding of the course topics and their use
problem solving; and the ability to present, analyze, and justify logically handled issues and methods of solution.

Exam schedules

The exam will be arranged in the end of the course.

Assessment methods and criteria

Activity and participation in lectures: Obligatory 80 % presence activity.
Assignments shall be submitted by their deadlines. Exceptions accepted only if agreed in advance with teachers.

Credit value 0 - 5 according to the level of competence.
Final grade will be formed as follows:
Exam: 100 %, evaluation 0-5
Assignments: Evaluation Approved/Rejected. By submitting all assignments and getting them approved has +0.5 impact to the final grade.

Assessment scale

0-5

Teaching methods

The teaching includes lectures, exercises and assignments. Exercises and assignments are done both in groups and individually.
Traficom's theory test for drone pilot A1/A3 certification is performed during the course. The certification is one of the course assignments.
The course exam is arranged on Moodle platform in the end of the course.

Learning materials

The study material will be available during the course on the moodle platform.
The self-study material for A1/A3 open category pilot test is provided by Traficom on droneinfo.fi -pages.
Additional recommended literature will be specified during the course.

Student workload

Lectures and exercises,and exam 37 hours.
Self-learning (incl. assignments and preparation for tests, etc.) 44 hours.

Content scheduling

Outdoor exercises are mainly during the first period, because of the more favourable weather conditions.
During the second period the emphasis is on lectures and software exercises.

Completion alternatives

None.

Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)

The student can:
- explain the basics of coordinate and height systems
- explain the principles of total station and GNSS based surveying methods
- use terrestrial laser scanner and targets for capturing 3D point cloud
- use a photogrammetric software to create a simple photogrammetric model based on photographs
- plan a photogrammetric drone mission
- download NLS aerial laser scanning data and analyse it with point cloud software

Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)

In addition to the aforementioned skills the student can:
- select and use appropriate surveying methods for georeferencing 3D point clouds
- select the correct coordinate and height system for georeferencing
- select suitable 3D reality capture tools for different projects
- register 3D point cloud and analyse it
- select appropriate 3D data file format and import the data to engineering/modeling software
- use point cloud data in selected engineering/modeling software
- create a DEM based on NLS open data

Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)

The student can apply all aforementioned skills & tools
- to merge 3D data from different sources and in different formats & coordinate systems
- to produce accurate 3D reality capture data for design and visualization purposes

Enrolment period

01.12.2022 - 06.01.2023

Timing

09.01.2023 - 30.04.2023

Credits

3 op

Mode of delivery

Contact teaching

Unit

Construction Engineering

Campus

TAMK Main Campus

Teaching languages
  • English
Seats

0 - 20

Degree programmes
  • Degree Programme in Construction Engineering, students who began in 2014-2018
Teachers
  • Kalle Tammi
Person in charge

Kalle Tammi

Groups
  • 20I351

Objectives (course unit)

This course will provide the student with basic understanding how to utilise modern 3D reality capture technologies and publicly available open geospatial data in Architecture, Engineering and Construction (AEC) related projects. The student will get an overview of point clouds, 3D laser scanning, photogrammetry and drones, scan-to-model processes and the related software tools.

Content (course unit)

The following topics will be covered during the course:
- Coordinate and height systems, traditional surveying methods and equipment,
- Terrestrial laser scanning, workflows and equipment, georeferencing
- Point cloud software and point cloud post-processsing
- 3D data file formats and interoperability
- Scan-to-model workflows and importing point clouds to modeling/engineering software
- Basic principles of photogrammetry
- Camera drones and photogrammetry
- Photogrammetry software
- Open geospatial data, sources and software for processing it

Prerequisites (course unit)

Basic knowledge of surveying, GIS or CAD/BIM software is recommended, but not mandatory.

Further information (course unit)

The teaching include lectures and exercises. Exercises are done both in groups and individually. The exam will be split to five smaller tests during the course. These tests will be arranged in Tabula environment in the beginning of the lectures and their schedule will be informed during the course.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to identify and define the basics of the course and solve simple questions
applications that are similar to the tasks being handled.

Assessment criteria, good (3-4) (course unit)

In addition to the above, the student is able to choose the most suitable one by applying and comparing different options
policy and justify their choices.

Assessment criteria, excellent (5) (course unit)

In addition to the above, the student has a comprehensive understanding of the course topics and their use
problem solving; and the ability to present, analyze, and justify logically handled issues and methods of solution.

Exam schedules

The exam will be arranged in the end of the course.

Assessment methods and criteria

Activity and participation in lectures: Obligatory 80 % presence activity.
Assignments shall be submitted by their deadlines. Exceptions accepted only if agreed in advance with teachers.

Credit value 0 - 5 according to the level of competence.
Final grade will be formed as follows:
Exam: 100 %, evaluation 0-5
Assignments: Evaluation Approved/Rejected. By submitting all assignments and getting them approved has +0.5 impact to the final grade.

Assessment scale

0-5

Teaching methods

The teaching includes lectures, exercises and assignments. Exercises and assignments are done both in groups and individually.
Traficom's theory test for drone pilot certification is performed during the course. The certification is one of the course assignments.
The course exam is arranged on Moodle platform in the end of the course.

Learning materials

The study material will be available during the course on the moodle platform.
The self-study material for A1/A3 open category pilot test is provided by Traficom on droneinfo.fi -pages.
Additional recommended literature will be specified during the course.

Student workload

Lectures and exercises,and exam 40 hours.
Self-learning (incl. assignments and preparation for tests, etc.) 41 hours.

Content scheduling

During the third period the emphasis is on lectures and software exercises.
Outdoor exercises are mainly during the fourth period, because of the weather conditions.

Completion alternatives

None.

Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)

Participation in the lectures below 80%.
The student does not reach the level of satisfactory or does not do the exam neither the assignments.

Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)

The student can:
- explain the basics of coordinate and height systems
- explain the principles of total station and GNSS based surveying methods
- use terrestrial laser scanner and targets for capturing 3D point cloud
- use a photogrammetric software to create a simple photogrammetric model based on photographs
- plan a photogrammetric drone mission
- download NLS aerial laser scanning data and analyse it with point cloud software

Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)

In addition to the aforementioned skills the student can:
- select and use appropriate surveying methods for georeferencing 3D point clouds
- select the correct coordinate and height system for georeferencing
- select suitable 3D reality capture tools for different projects
- register 3D point cloud and analyse it
- select appropriate 3D data file format and import the data to engineering/modeling software
- use point cloud data in selected engineering/modeling software
- create a DEM based on NLS open data

Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)

The student can apply all aforementioned skills & tools
- to merge 3D data from different sources and in different formats & coordinate systems
- to produce accurate 3D reality capture data for design and visualization purposes

Enrolment period

01.12.2021 - 09.01.2022

Timing

10.01.2022 - 29.04.2022

Credits

3 op

Mode of delivery

Contact teaching

Unit

Construction Engineering

Campus

TAMK Main Campus

Teaching languages
  • English
Seats

0 - 20

Degree programmes
  • Degree Programme in Construction Engineering, students who began in 2014-2018
Teachers
  • Ilkka Tasanen
  • Kalle Tammi
Person in charge

Hannu Kauranen

Groups
  • 19I351
  • 18I351

Objectives (course unit)

This course will provide the student with basic understanding how to utilise modern 3D reality capture technologies and publicly available open geospatial data in Architecture, Engineering and Construction (AEC) related projects. The student will get an overview of point clouds, 3D laser scanning, photogrammetry and drones, scan-to-model processes and the related software tools.

Content (course unit)

The following topics will be covered during the course:
- Coordinate and height systems, traditional surveying methods and equipment,
- Terrestrial laser scanning, workflows and equipment, georeferencing
- Point cloud software and point cloud post-processsing
- 3D data file formats and interoperability
- Scan-to-model workflows and importing point clouds to modeling/engineering software
- Basic principles of photogrammetry
- Camera drones and photogrammetry
- Photogrammetry software
- Open geospatial data, sources and software for processing it

Prerequisites (course unit)

Basic knowledge of surveying, GIS or CAD/BIM software is recommended, but not mandatory.

Further information (course unit)

The teaching include lectures and exercises. Exercises are done both in groups and individually. The exam will be split to five smaller tests during the course. These tests will be arranged in Tabula environment in the beginning of the lectures and their schedule will be informed during the course.

Assessment criteria, satisfactory (1-2) (course unit)

The student is able to identify and define the basics of the course and solve simple questions
applications that are similar to the tasks being handled.

Assessment criteria, good (3-4) (course unit)

In addition to the above, the student is able to choose the most suitable one by applying and comparing different options
policy and justify their choices.

Assessment criteria, excellent (5) (course unit)

In addition to the above, the student has a comprehensive understanding of the course topics and their use
problem solving; and the ability to present, analyze, and justify logically handled issues and methods of solution.

Exam schedules

The exam will be arranged in the end of the course.

Assessment methods and criteria

Activity and participation in lectures: Obligatory 80 % presence activity.
Assignments shall be submitted by their deadlines. Exceptions accepted only if agreed in advance with teachers.

Credit value 0 - 5 according to the level of competence.
Final grade will be formed as follows:
Exam: 100 %, evaluation 0-5
Assignments: Evaluation Approved/Rejected. By submitting all assignments and getting them approved has +0.5 impact to the final grade.

Assessment scale

0-5

Teaching methods

The teaching includes lectures, exercises and assignments. Exercises and assignments are done both in groups and individually.
Traficom's theory test for drone pilot certification is performed during the course. The certification is one of the course assignments.
The course exam is arranged on Moodle platform in the end of the course.

Learning materials

The study material will be available during the course on the moodle platform.
The self-study material for A1/A3 open category pilot test is provided by Traficom on droneinfo.fi -pages.
Additional recommended literature will be specified during the course.

Student workload

Lectures and exercises 32 hours.
Self-learning (incl. assignments and preparation for tests, etc.) 49 hours.

Content scheduling

During the third period the emphasis is on lectures and software exercises.
Outdoor exercises are mainly during the fourth period, because of the weather conditions.

Completion alternatives

None.

Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)

Participation in the lectures below 80%.
The student does not reach the level of satisfactory or does not do the exam neither the assignments.

Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)

The student can:
- explain the basics of coordinate and height systems
- explain the principles of total station and GNSS based surveying methods
- use terrestrial laser scanner and targets for capturing 3D point cloud
- use a photogrammetric software to create a simple photogrammetric model based on photographs
- plan a photogrammetric drone mission
- download NLS aerial laser scanning data and analyse it with point cloud software

Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)

In addition to the aforementioned skills the student can:
- select and use appropriate surveying methods for georeferencing 3D point clouds
- select the correct coordinate and height system for georeferencing
- select suitable 3D reality capture tools for different projects
- register 3D point cloud and analyse it
- select appropriate 3D data file format and import the data to engineering/modeling software
- use point cloud data in selected engineering/modeling software
- create a DEM based on NLS open data

Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)

The student can apply all aforementioned skills & tools
- to merge 3D data from different sources and in different formats & coordinate systems
- to produce accurate 3D reality capture data for design and visualization purposes