@@ -197,11 +197,11 @@ By the end of the course, students should be able to:
197197
198198| [ Week] ( ) | [ Topics] ( ) | [ Notes] ( ) |
199199| ------| --------| -------|
200- | 1 | Course introduction, bibliography, grading criteria, ** information security problems** , project management. | Opening and context. |
201- | 2 | ** Distributed systems concepts** , client–server architecture, HTTP server, REST architecture and JSON format. | Technical foundations. |
202- | 3 | ** CRISP‑DM** process. | Data mining methodology. |
203- | 4 | RapidAPI platform introduction; testing APIs; each group selects an API to consume and generate plots. | Start of API-based project.|
204- | 5 | Project support (API + data analysis). | Follow-up. |
200+ | 1 | [ Course introduction, bibliography, grading criteria, ** information security problems** , project management.] ( ) | Opening and context. |
201+ | 2 | [ ** Distributed systems concepts** , client–server architecture, HTTP server, REST architecture and JSON format.] ( ) | Technical foundations. |
202+ | 3 | [ ** CRISP‑DM** process.] ( ) | Data mining methodology. |
203+ | 4 | [ RapidAPI platform introduction; testing APIs; each group selects an API to consume and generate plots.] ( ) | Start of API-based project.|
204+ | 5 | [ Project support (API + data analysis).] ( ) | Follow-up. |
205205| 6 | Consuming Web Services, generating plots; review of NumPy, Pandas, Plotly, Seaborn etc. | Tools review. |
206206| 7 | Building dashboards in Python. | Dashboard construction. |
207207| 8 | Group presentations of the WebService project. | 1st project evaluation.|
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