content: migrate Master AI section

src/config/sidebar.mjs

@@ -34,7 +34,24 @@ export const sidebar = [
       },
     ],
   },
-  { label: 'Master AI', items: [] },
+  {
+    label: 'Master AI',
+    items: [
+      { slug: 'master-ai' },
+      {
+        label: 'Year 1',
+        items: [
+          { slug: 'master-ai/year-1' },
+          { slug: 'master-ai/year-1/research-project-1' },
+          { slug: 'master-ai/year-1/research-project-2' },
+        ],
+      },
+      {
+        label: 'Year 2',
+        items: [{ slug: 'master-ai/year-2' }],
+      },
+    ],
+  },
   { label: 'Master DSDM', items: [] },
   { label: 'Useful Information', items: [] },
 ];

src/content/docs/master-ai/index.md

@@ -0,0 +1,15 @@
+---
+title: Artificial Intelligence
+description: Historical information about the master's programme in Artificial Intelligence at Maastricht University.
+---
+
+# Artificial Intelligence
+
+:::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+This information originated in the previous wiki and may be outdated.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 Artificial Intelligence 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).
+

src/content/docs/master-ai/year-1/index.md

@@ -0,0 +1,39 @@
+---
+title: Year 1
+description: Historical course and research-project information for the first year of the master's programme in Artificial Intelligence.
+---
+
+# Year 1
+
+:::caution[Historical information]
+This information originated in the previous wiki and may be outdated.
+:::
+
+## Schedule
+
+Year 1 has two courses per block.
+
+## Core courses
+
+:::note[Historical course list]
+The following course list originated in the previous wiki and may have changed.
+:::
+
+- Block 1: Foundations of Agents and Intelligent Search & Games.
+- Block 2: Multi-Agent Systems and Advanced Concepts in Machine Learning.
+- Block 4: Autonomous Robotic Systems.
+
+## Electives
+
+:::note[Historical course list]
+The following elective list originated in the previous wiki and may have changed.
+:::
+
+- Block 4: one elective from Algorithms for Big Data, Dynamic Game Theory, and Building and Mining Knowledge Graphs.
+- Block 5: two electives from Information Retrieval and Text Mining, Deep Learning, Planning and Scheduling, and Computer Vision.
+
+## Research projects
+
+- [Research Project MAI 1](./research-project-1/)
+- [Research Project MAI 2](./research-project-2/)
+

src/content/docs/master-ai/year-1/research-project-1.md

@@ -0,0 +1,25 @@
+---
+title: Research Project MAI 1
+description: Historical description, prerequisites, and recommended reading for Research Project MAI 1.
+---
+
+# Research Project MAI 1
+
+:::caution[Historical information]
+This information originated in the previous wiki and may be outdated.
+:::
+
+## Full course description
+
+The research project takes place in the three blocks of the first semester of the first year of the master's programme. The emphasis in the first two blocks is on exploration and modelling, and in block 3 on implementation and experimenting. The subject of the project is closely related to the courses in the semester.
+
+The research project is performed in small groups of 3–5 students. During the project, students practise team-based research and a range of scientific skills. The project results in a project presentation, a project report, and possibly a product. At the end of each block, a project presentation takes place. Examination: project presentation, report, and product.
+
+## Prerequisites
+
+No prerequisites.
+
+## Recommended reading
+
+None.
+

src/content/docs/master-ai/year-1/research-project-2.md

@@ -0,0 +1,25 @@
+---
+title: Research Project MAI 2
+description: Historical description, prerequisites, and recommended reading for Research Project MAI 2.
+---
+
+# Research Project MAI 2
+
+:::caution[Historical information]
+This information originated in the previous wiki and may be outdated.
+:::
+
+## Full course description
+
+The research project takes place in the three blocks of the second semester of the first year of the master's programme. The emphasis in the first two blocks is on exploration and modelling, and in block 6 on implementation and experimenting. The subject of the project is closely related to the courses in the semester.
+
+The research project is performed in small groups of 3–5 students. During the project, students practise team-based research and a range of scientific skills. The project results in a project presentation, a project report, and possibly a product. At the end of each block, a project presentation takes place. Examination: project presentation, report, and product.
+
+## Prerequisites
+
+No prerequisites.
+
+## Recommended reading
+
+None.
+

src/content/docs/master-ai/year-2/index.md

@@ -0,0 +1,21 @@
+---
+title: Year 2
+description: Historical elective and thesis information for the second year of the master's programme in Artificial Intelligence.
+---
+
+# Year 2
+
+:::caution[Historical information]
+This information originated in the previous wiki and may be outdated.
+:::
+
+## Schedule
+
+:::note[Historical course list]
+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.
+

tests/content-audit.test.mjs

@@ -18,6 +18,11 @@ for (const file of [
   'src/content/docs/bachelor/year-3/honours-programme.md',
   'src/content/docs/bachelor/year-3/project-3-1.md',
   'src/content/docs/bachelor/year-3/study-abroad.md',
+  'src/content/docs/master-ai/index.md',
+  'src/content/docs/master-ai/year-1/index.md',
+  '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',
 ]) {
   test(`${file} contains clean migrated Markdown`, async () => {
     const content = await readFile(file, 'utf8');