Tuesday, Office 313в: 13:15-15:15
Thursday, Office 313в: 09:15-10:15
Wednesday, Online room link: https://meet.google.com/xgy-gpbq-esa, 09:00-10:00
15 Oct 2024, Office 56: 14:00-
19 Nov 2024, Office 56: 14:00-
Subject | Year and Programme |
---|---|
Informatics | Year 1, МТ-Р.ЕЗ (Full-time) |
Introduction to Informatics | Year 1, ИКН (Full-time) |
Introduction to Informatics | Year 1, МУТ (Full-time) |
Web Technologies | Year 2, DS (Full-time) |
Web Technologies | Year 3, ИКН (Full-time) |
Web Technologies | Year 3, МУТ (Full-time) |
Programming In Javascript | Year 5, МУТ (Full-time) |
Programming In Javascript | Year 6, МУТ-ДНДО (Full-time) |
Programming In Javascript | Year 6, МУТ-СПН (Full-time) |
Home | End | Room | L/S | Course | Week | Group | |
---|---|---|---|---|---|---|---|
Tuesday | |||||||
11:15 | 13:00 | H-206 | Lecture | Informatics | 50 | ||
15:15 | 17:00 | H-202 | Lecture | Web Technologies | 38 | ||
Thursday | |||||||
10:15 | 13:00 | 128 | Lecture | Web Technologies | 34, 35, 36, 37 | ||
13:30 | 15:00 | 301 | Lecture | Introduction to Informatics | 34, 35, 36, 37 | ||
Friday | |||||||
10:15 | 13:00 | H-201 | Lecture | Programming In Javascript | 5, 46, 62 |
Type | Year | Publication |
---|---|---|
Студия | 2024 |
Sulova, S., Marinova, O., Metadata Management Framework for Business Intelligence Driven Data Lakes
Business Management, Svishtov : Tsenov Academic Publishing House, Yr. 34, 2024, 2, 22-42., ISSN(печатно) 0861-6604, ISSN(онлайн) 2534-8396 / DOI 10.58861/tae.bm.2024.2.02 / Линк
|
Доклад | 2024 |
Sulova, S., Application of Natural Language Processing Technologies to Improve Accessibility of E-Learning Resources
CompSysTech '24: 25th International Conference on Computer Systems and Technologies 2024, June 14 - 15, 2024, Ruse, Bulgaria, New York : Association for Computing Machinery, 2024, 180-184. - (ACM International Conference Proceeding Ser.)., ISBN(печатно) 979-8-4007-1684-3 / DOI 10.1145/3674912.3674917 / Scopus / Линк
|
Учебник | 2024 |
Сълова, С., Банков, Б., Стоянова, М., Уеб технологии
Варна : Наука и икономика, 2024, 222., ISBN(печатно) 978-954-21-1169-6
|
Доклад | 2023 |
Сълова, С., Методика за извличане и обработка на големи неструктурирани данни в логистиката
Дигитализация, големи данни, изкуствен интелект : Сборник с доклади от научен семинар Икономически университет - Варна, 31.03.2023 г., Варна : Наука и икономика, 2023, 61-67., ISBN(онлайн) 978-954-21-1145-0 / Линк
|
Статия | 2023 |
Sulova, S., A Conceptual Framework for the Technological Advancement of E-Commerce Applications
Businesses. Special Issue. Innovative Practices in E-Commerce and E-Management, Basel, Switzerland : MDPI Publ., 3, 2023, 1, 220-230., ISSN(онлайн) 2673-7116 / DOI https://doi.org/10.3390/businesses3010015 / Линк
|
Доклад | 2023 |
Sulova, S., A Conceptual Framework for Innovative Digital Data Processing in the Construction Business : [Електронен ресурс]
Emerging Technology Trends on the Smart Industry and the Internet of Things 2023 : TTSIIT 2023 : The 2nd International Conference, January 24-25th, 2023 (online), Kyiv : Kyiv National University of Construction and Architecture, 2023, 48-53., ISSN(онлайн) 1613-0073 / Линк
|
Студия | 2023 |
Vasilev, J., Sulova, S., An Approach for the In-Depth Data Analysis of the Marine Traffic of Independent Nearby Ports
Folia Oeconomica Stetinensia : The Journal of University of Szczecin, Szczecin : Sciendo, 23, 2023, 2, 402-426., ISSN(печатно) 1730-4237, ISSN(онлайн) 1898-0198 / DOI https://doi.org/10.2478/foli-2023-0038 / Scopus / Линк
|
Студия | 2022 |
Nacheva, R., Sulova, S., Penchev, B., Where Security Meets Accessibility: Mobile Research Ecosystem
Electronic Governance and Open Society: Challenges in Eurasia : EGOSE 2021 : 8ht International Conference, Saint Peterburg, Russia, November 24 - 25, 2021 : Proccedings, Cham : Springer Publ., 1, 2022, 216-231. - (Communication in Computer and Information Science ; 1529)., ISSN(онлайн) 18650929, ISBN(онлайн) 978-303104237-9 / DOI 10.1007/978-3-031-04238-6_17 / Scopus
|
Доклад | 2022 |
Sulova, S., Aleksandrova, Y., Stoyanova, M., Radev, M., A Predictive Analytics Framework Using Machine Learning for the Logistics Industry
CompSysTech'22 : 23rd International Conference on Computer Systems and Technologies, 17-18 June 2022, University of Ruse, Bulgaria, New York : Association for Computing Machinery, 2022, 39-44., ISBN(онлайн) 978-145039644-8 / DOI 10.1145/3546118.3546130 / Scopus
|
Студия | 2021 |
Sulova, S., Big Data Processing in the Logistics Industry
Economics and Computer Science [Икономика и компютърни науки] : [Електронно] научно списание, Varna : Knowledge and Business, 7, 2021, 1, 6-19., ISSN(онлайн) 2367-77911 / Линк
|