Bi̇g data texnologiyalarıSyllabus

Subject code

MM - 1208

Credits

6

Student workload

75

Semester

Spring semester

Academic year

2025-2026

Subject type

Mandatory

Form of education

Full-time

Language of instruction

Azerbaijani

In-class hours

a) 30 saat - mühazirə b) 15 saat -seminar

Out-of-class hours

a) 75 saat - TSİ b) 60 saat – MRTSİ

“bi̇q data texnologiyaları” fənnin işçi tədris proqramı (sillabus) hazırlanarkən, azərbaycan respublikası elm və təhsil nazirliyinin əmri ilə fənnin təsdiq edilmiş magistratura səviyyəsinin ixtisas üzrə təhsil proqramı (çərçivə sənədi) əsas götürülür. “bi̇q data texnologiyaları” fənni magistratura səviyyəsində təhsil alan magistrantlara telekommunikasiya sahəsində əsas anlayışları, nəzəri bilikləri və praktiki bacarıqların mənimsənilməsi üçün mövzuları təqdim edir.

• lecture
• project-based learning
• interactive discussion
• teamwork
• seminar
• presentations

No learning outcomes have been added.

1. 1.
   Application possibilities of big data analytics and artificial intelligenceLecture
2. 2.
   Analysis of customer behavior based on big data and artificial intelligenceLecture
3. 3.
   Analysis of customer behavior in mobile operators based on big data and artificial intelligenceLecture
4. 4.
   Quality of service (qos) monitoring with big data and artificial intelligenceLecture
5. 5.
   The role and applications of big data in 5g technologiesLecture
6. 6.
   Topic 7. expressive actions that complete non-verbal communication and communication in business communication; body language, facial expressions and gesturesSeminar

   In this topic, the role of non-verbal means of communication in business relations is studied. concepts of body language, facial expressions, gestures, eye contact, posture and personal space are explained. the impact of non-verbal behavior on communication is assessed through analyzes of various situations.

7. 7.
   Big data analytical models to predict customer churnLecture
8. 8.
   Application of hadoop ecosystem in industryLecture
9. 9.
   The use of big data technologies in iot networksLecture
10. 10.
    Security and cyber attack detection with big dataLecture
11. 11.
    Data governance and big data management models in industryLecture
12. 12.
    Improving marketing strategies in industry with big dataLecture
13. 13.
    Overview of BIG DATA technology.Lecture
14. 14.
    Big DATA and the core functions of business. DELTA model – as a powerful analytical toolLecture
15. 15.
    The role of cloud-based big data platforms in telecommunication infrastructuresLecture

1. 1. balusamy, b., abirami, n. r., kadry, s., & gandomi, a. (2023). big data: concepts, technology and architecture. wiley. 2. gupta, b. b. (2024). big data management and analytics. world scientific. 3. baley, i., & veldkamp, ​​l. (2025). the data economy: tools and applications. princeton university press. 4. springer (ed.) (2023). big data technologies and applications: proceedings of BDTA 2023. springer. 5. marr, b. (2022). big data in practice: how 45 successful companies used big data analytics. wiley. 6. yusifov, f. (2016). opportunities and perspectives of big data in the e-government system. ANAS ICT institute. 7. gasimbeyli, n. (2019). application of big data in the telecommunications sector (master's thesis, unec). 8. economic times (2025). improving telecommunications with edge ai. online resources and technology reviews 9. techtarget (2025). 18 top big data tools and technologies to know. 10. datacamp (2025). big data technologies: tools, solutions, and trends. 11. turing (2025). top 8 big data platforms and tools.(opens in a new tab)