@@ -180,12 +180,12 @@ Enable students to **understand, model and analyze information systems and data*
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181181By the end of the course, students should be able to:
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183- - Understand ** information security problems** and propose mitigation measures related to user behavior and project management.
184- - Understand ** distributed systems** , client–server architecture, HTTP servers and ** REST/JSON APIs** .
185- - Apply the ** CRISP‑DM** process to data projects related to cybersecurity and social engineering.
186- - Consume ** Web Services / APIs** , process data and create visualizations (NumPy, Pandas, Plotly, Seaborn, etc.).
187- - Understand ** Big Data, NoSQL, Hadoop and Spark** and their role in large-scale data processing in security scenarios.
188- - Develop and present ** group projects** involving data acquisition, processing, visualization and prediction from Web Services.
183+ [ - ] ( ) Understand [ ** information security problems** ] ( ) and propose mitigation measures related to user behavior and project management.
184+ [ - ] ( ) Understand [ ** distributed systems** ] ( ) , client–server architecture, HTTP servers and ** REST/JSON APIs** .
185+ [ - ] ( ) Apply the [ ** CRISP‑DM** ] ( ) process to data projects related to cybersecurity and social engineering.
186+ [ - ] ( ) Consume [ ** Web Services / APIs** ] ( ) , process data and create visualizations (NumPy, Pandas, Plotly, Seaborn, etc.).
187+ [ - ] ( ) Understand [ ** Big Data, NoSQL, Hadoop and Spark** ] ( ) and their role in large-scale data processing in security scenarios.
188+ [ - ] ( ) Develop and present ** group projects** involving data acquisition, processing, visualization and prediction from Web Services.
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