AZTUProgrammes

Subject · Electronics, telecommunications and radio engineering

Telekommunikasiya sistemləri üçün data analitikasıTopics

MS-12116 creditsSpring semesterMandatory2025-2026

Topic plan

The subject's topics and the learning outcomes attached to each one.

13 topics

  1. 1. Introduction to data analytics: definition, types and role of data analytics in telecommunication.

    Lecture

  2. 2. Data storage and management: concepts of databases, big data environments and data warehouse.

    Lecture

  3. 3. Data cleaning and pre-processing: missing data, outliers and data normalization.

    Lecture

  4. 4. Fundamentals of statistical analysis: descriptive statistics and basic statistics.

    Lecture

  5. 5. Visualization of telecommunications data: development of charts, dashboards and reports.

    Lecture

  6. 6. Quality indicators (kpi) in telecommunication networks: latency, throughput, packet loss and their analysis.

    Lecture

  7. 7. Traffic analysis: traffic patterns, load estimation and trend analysis.

    Lecture

  8. 8. Predictive analytics: time series and traffic forecasting techniques

    Lecture

  9. 9. Anomaly detection: analysis of network failures and unusual behavior.

    Lecture

  10. 10. Quality of service analysis (qos and qoe): quality of service indicators and user experience evaluation.

    Lecture

  11. 11. Machine learning in data analytics: applying simple ML models to telecommunications data.

    Lecture

  12. 12. Network optimization based on analytical results: resource management and decision processes.

    Lecture

  13. 13. Practical applications and final review

    Lecture