1 |
Course Introduction |
Course organization and contents overview. Reading of handout material. |
First simple multi-criteria decision making process with exercises. |
2 |
Decision Making Processes |
Definition and basics of decision making. Introductory reading of course script. |
Examining various MCDM methods with comparative exercises. |
3 |
Decision Making Processes |
Definition and basics of decision making. Introductory reading of course script. |
Introduction of Fuzziness in the Evaluation Process with exercises. |
4 |
Decision Making Systems |
Coverage of major decision-making platforms in the spatial domain. |
Investigation of spatial decision making in the literature and available on web platforms. Homework focuses on the identification of various types. |
5 |
Public Holiday |
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6 |
Public Holiday |
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7 |
Model Components |
Conceptualizing a decision-making system with its subsystems. |
Developing a strategy for and EIA and SDG spatial MCDM solution from scratch. Homework will focus on the extraction of relevant parameters. |
8 |
Mid-Term Exam Week |
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9 |
System Requirements |
Standard requirements and SRS documents. |
Developing a strategy for and EIA and SDG spatial MCDM solution from scratch. |
10 |
System Requirements |
Definition of standard requirements and formulating SRS documents. Reading of SRS specification standards. |
Developing a strategy for and EIA and SDG spatial MCDM solution from scratch. Homework will focus on the extraction of relevant parameters. |
11 |
Data and Variables |
Search, priming and integration of data from public sources. |
Data search, assessment, priming and integration in class with finalization of process as homework. Application of pre-trained AI models to extract land-cover information. |
12 |
Definition of Workflows |
Development of workflows using spatial modeling software. |
Coverage of spatial modeling tools and limitations, developing basic workflows with finalization as homework. |
13 |
Definition of Workflows |
Development of advanced workflows using spatial modeling software, use of iterators. |
Coverage of spatial modeling tools and limitations, developing advanced workflows with finalization of model as homework. |
14 |
Assessments and Optimization |
Accuracy assessments and evaluation, methods and explanatory AI |
Discussion of which assessment methods will be integrated. |
15 |
Project Use Case |
Performing in-depth analyzes using a use-case from and Environmental Impact Assessment (EIA) |
Project introduction and lab exercise on the integration of a solution given pre-defined criteria and potential locations. |
16 |
Final Exam Week |
Development of Multicriteria Decision Making Project |
Project introduction and lab exercise on the integration of a solution given pre-defined criteria and potential locations. |