content: migrate Master DSDM section

This commit is contained in:
msa46 2026-08-02 16:53:42 +02:00
parent 6ad007af92
commit 717db68a5d
5 changed files with 91 additions and 1 deletions

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@ -52,6 +52,19 @@ export const sidebar = [
},
],
},
{ label: 'Master DSDM', items: [] },
{
label: 'Master DSDM',
items: [
{ slug: 'master-dsdm' },
{
label: 'Year 1',
items: [{ slug: 'master-dsdm/year-1' }],
},
{
label: 'Year 2',
items: [{ slug: 'master-dsdm/year-2' }],
},
],
},
{ label: 'Useful Information', items: [] },
];

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@ -0,0 +1,14 @@
---
title: Data Science for Decision Making
description: Historical information about the master's programme in Data Science for Decision Making at Maastricht University.
---
# Data Science for Decision Making
:::caution[Historical information]
This information originated in the previous wiki and may be outdated.
:::
The following pages contain information about the master's programme in Data Science for Decision Making at the Department of Data Science and Knowledge Engineering at Maastricht University. Course summaries and old exams can be found in their respective folders.
For the most up-to-date overview of the courses taught, visit the [Maastricht University education website](https://www.maastrichtuniversity.nl/education).

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@ -0,0 +1,40 @@
---
title: Year 1
description: Historical course, elective, and project information for the first year of the master's programme in Data Science for Decision Making.
---
# Year 1
:::caution[Historical information]
This information originated in the previous wiki and may be outdated.
:::
## Schedule
Year 1 has two courses per block in Blocks 1, 2, 4, and 5. There are four core courses, four electives, and two semester projects.
## Core courses
:::note[Historical course list]
The following course list originated in the previous wiki and may have changed.
:::
- Block 1: Data Mining.
- Block 2: Model Identification and Data Fitting.
- Block 4: Algorithms for Big Data.
- Block 5: Planning and Scheduling.
## Electives
:::note[Historical course list]
The following elective list originated in the previous wiki and may have changed.
:::
- Block 1: Signal and Image Processing, Mathematical Optimization, and Stochastic Decision-Making.
- Block 2: Advanced Concepts in Machine Learning and Applications of Image and Video Processing.
- Block 4: Building and Mining Knowledge Graphs, Information Security, and Dynamic Game Theory.
- Block 5: Symbolic Computation and Control, Deep Learning, Information Retrieval and Text Mining, and Computer Vision.
## Semester projects
The first year includes two semester projects.

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@ -0,0 +1,20 @@
---
title: Year 2
description: Historical elective and thesis information for the second year of the master's programme in Data Science for Decision Making.
---
# Year 2
:::caution[Historical information]
This information originated in the previous wiki and may be outdated.
:::
## Schedule
:::note[Historical study structure]
The following study structure originated in the previous wiki and may have changed.
:::
The first semester of Year 2 consists of 30 credits of electives.
The second semester of Year 2 consists of a 30-credit master's thesis.

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@ -23,6 +23,9 @@ for (const file of [
'src/content/docs/master-ai/year-1/research-project-1.md',
'src/content/docs/master-ai/year-1/research-project-2.md',
'src/content/docs/master-ai/year-2/index.md',
'src/content/docs/master-dsdm/index.md',
'src/content/docs/master-dsdm/year-1/index.md',
'src/content/docs/master-dsdm/year-2/index.md',
]) {
test(`${file} contains clean migrated Markdown`, async () => {
const content = await readFile(file, 'utf8');