Congratulations to student Phan Manh Duy, ID 20521245, from the Faculty of Information Science and Engineering for excellently obtaining the JLPT N3 certificate. Wishing you continued success in your studies with the best achievements! UIT always encourages students to enhance their language skills, aiming towards a generation of global citizens and comprehensive role models. For more details, visit: https://www.facebook.com/UIT.Fanpage/posts/pfbid0ku5XrCtwuokfcLjSm9W... Hai Bang - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

Authors: Do Thi Minh Phung, Nguyen Thi Kim Phung. This documentation is designed for the course "Database Management System" with the course code IS210. It provides practical guidance on techniques and tools for manipulating a relational database using a specific Database Management System (DBMS), namely Oracle. The document is tailored to support the Database Management System course at the University of Information Technology, National University Ho Chi Minh City. The documentation introduces tools within Oracle, implements data definition language, data manipulation language, simple and advanced SQL query languages, data control language, transaction commands, and operations on various components of the database such as synonyms, indexes, sequences. Additionally, it covers the PL/SQL procedural language, including control structures, exceptions, cursors, functions, stored procedures, and triggers. The document includes numerous illustrative examples across different database schemas to help students grasp concepts and issues more easily. The textbook is currently undergoing technical processing and will soon be available on the shelf to meet the borrowing needs of readers. For more details, visit: https://www.facebook.com/LibUIT.Fanpage/posts/pfbid0243epSVRsXre7shDn6ejeKAY... Ha Bang - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

Hello everyone, To prepare for the process of registering for Semester 2, academic year 2023-2024, the Faculty of Computer Science would like to note the following information: Registration/Confirmation/Adjustment of courses according to the schedule of the training room (https://daa.uit.edu.vn/thong-bao-lich-dkhp-va-tkb-du-kien-hk2-nam-hoc-2023-2024?fbclid=IwAR1h9eLlrEmcg4sCLhslkSQ2svfzvcT1M6kIZU2HISb-IsT7_I7V2Lsh_g0) Please carefully review the training program corresponding to your course to choose courses that are suitable for the progress of study for each course. If you have any questions or need clarification, please contact your academic advisor or email the Faculty's office. This year, the Faculty of Software Engineering has opened an introductory course on Software Technology specifically for students of the Faculty of Computer Science, UIT. If you are interested in taking this course, please check the class codes (SE104.028 & SE104.029). Best regards, For more information, please visit the Fanpage of the Faculty of Computer Science, UIT Đông Xanh - Collaborator of the Information Technology University Communication translate to english

A student majoring in Information Security (Faculty of Computer Networks and Communications), participated in presenting research results on the topic of combining Blockchain and AI at the "17th IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF 2023)" held from December 23 to 25, 2023, in Hanoi. The conference was organized by the Posts and Telecommunications Institute of Technology (PTIT). Paper: "DeFL-BC: Empowering Reliable Cyberattack Detection through Decentralized Federated Learning and Poisoning Attack Defense" Author: Nguyen Duy Hoang (Information Security - High-Quality Program 2019) Supervisors: M.S. Tran Tuan Dung, M.S. Phan The Duy Conference information: The RIVF 2023 international conference is an international event in Communication Technology and Computing, a major international scientific event bringing together scientists and researchers in the field of computing and communication in Vietnam and the world, accompanying the theme "Research - Innovation and Vision for the future" (RIVF stands for Research, Innovation, and Vision for the Future). The RIVF conference is listed in the prestigious conference list as proposed by SCOPUS and ISI Web of Science. RIVF has undergone 16 sessions of organization, and 2023 marks the 17th session. The RIVF 2023 conference revolves around the following main topics: Image, language, and speech processing; Communication & Computer Networks, Cybersecurity; Distributed systems, Internet of Things, Cloud computing; Artificial Intelligence, Data Science, Big Data Analysis, Intelligent Computing; Software engineering, Information systems, Computational models. New research results in the field of Information Technology and Communication will be summarized and printed in the proceedings as well as uploaded to the online database of the Institute of Electrical and Electronics Engineers (IEEE Xplorer). Conference link: https://rivf2023.org/ For more details, visit: https://www.facebook.com/inseclab/posts/pfbid06JNmx8Ym2USCVwYc9P... Ha Bang - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

With the increasing demand for publishing in reputable conferences and journals, verifying the credibility and ranking of these publications is essential. To facilitate this process for research groups, we provide some useful information. Authors: MS. Nguyen Van Kiet MS. Luu Thanh Son The article includes the evaluation of journal papers in the following categories: Scientific journals listed in the ISI database. Scientific journals listed in the Scopus database. Journals listed in the reputable journal category by NAFOSTED. Journals listed in the category determined by the Council of Professors in Computer Science and Data Science. Regarding the evaluation of conference papers, the article covers: Scientific conferences ranked in the CORE database. Conferences listed in the Scopus database. National conferences or those not listed in the Scopus database. For detailed instructions, please refer to the following link: Article Link For more details, visit: https://www.facebook.com/100066634776200/posts/714364057461414/?mibextid=Na33Lf Dong Xanh - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

Authors: Thái Huy Tân, Nguyễn Huỳnh Quốc Việt. This document is designed for the course "Data Transmission," Course Code: NT105. Summary: The Practical Data Transmission Guidelines provide basic content to visualize theoretical concepts using two main tools: Matlab and Simulink. Matlab provides functions and methods to support programming for representing learned content in the form of drawings and charts. Simulink provides simulation blocks that allow combination and adjustment to design models through drag-and-drop. By designing these models, students can understand the components and operation of data modulation techniques. Link to the record:  https://opac.vnulib.edu.vn/record=b1415692~S1*vie Detailed Information: https://www.facebook.com/LibUIT.Fanpage/posts/pfbid02yqEheHbVNfB3u5tBVMPTCeQTkLKb7TTB6B9ZipwTjCA3xSsEv4o61aHHWpoCj4Xhl Ha Bang - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

Authors: Lê Thanh Trọng, Mai Trọng Khang, Vũ Tuấn Hải. This document is designed for the course "Java Programming Language," Course Code: SE330. Summary: In today's context, the Java programming language is widely used in both educational and business environments. Java stands out for its advantages such as portability, robustness, high safety and security, support for object-oriented programming, etc. With Java, we can develop various types of applications, including desktop applications, mobile applications, web applications, embedded software, etc. Therefore, understanding and applying the Java programming language is a trending and crucial matter for IT students. With the desire to provide students with basic knowledge and techniques of Java programming, this document aims to equip readers with fundamental knowledge for their initial exposure to Java. Topics covered include organizing a Java program, basic statements and data component declarations, object-oriented programming techniques in Java, data stream issues, exception handling, interface programming, and database programming with Java. The document is compiled into 7 detailed tutorials with specific contents: Introduction to the Java language Object-oriented programming in Java Input-output streams Exception handling Multithreading programming GUI programming Database programming with JDBC The document is being processed and will soon be displayed on the library shelves for readers to borrow. Link to record: https://opac.vnulib.edu.vn/record=b1415693~S1*vie Detailed Information: https://www.facebook.com/LibUIT.Fanpage/posts/pfbid0265vZyLL65ZvbEVppoymUAFkn8EKq7ZvC8TSyBpAvA6sJwroQTBTvmYkC7ztgm7xHl Ha Bang - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

The University of Information Technology will organize a meeting of the University-level Doctoral Dissertation Evaluation Council for: Doctoral Candidate: Huynh Thi Thanh Thuong Major: Computer Science, Code: 62 48 01 01 (9 48 01 01). Dissertation Title: "Research on the Method of Building a Document Management System Based on Semantics." Time: 08:30, January 17, 2024. Venue: Room E1.1, University of Information Technology, Khu phố 6, Phường Linh Trung, TP. Thủ Đức, TP. HCM. Advisor: Assoc. Prof. Dr. Do Van Nhơn Independent Reviewer 1: Assoc. Prof. Dr. Phạm Thế Bảo Independent Reviewer 2: Assoc. Prof. Dr. Nguyễn Thanh Bình Dissertation information for reference: See attached files. The full dissertation and the summary will be exhibited at the Library of the University of Information Technology, Block A, for those interested to consult during the library's opening hours. We cordially invite lecturers, scientists, researchers, students, and those interested to attend the council meeting. Attached Files:  1.thong_tin_luan_an.pdf  2.thesis_infomation.pdf 3.lats-ct-tomtat_new.pdf For more details, visit: Announcement on the Official Website Ha Bang - Contributing Communications Member of the University of Information Technology

Dear esteemed teachers and students, As part of the 2023 Academic Seminar Series organized by the Faculty of Multimedia Technology and Telecommunications, we cordially invite you to attend the 9th research seminar in 2023 with the following details: Topic: "WebGuardRL: An Innovative Reinforcement Learning-based Approach for Advanced Web Attack Detection" Speaker: MSc. Đỗ Hoàng Hiển – Researcher at the ATTT Experimentation Room (InSecLab) Time: 09:00 on Friday, December 15, 2023 Location: Room E8.3 Details about the content and the speaker are attached in the accompanying file. We invite esteemed teachers and students interested in the topic to attend. For further details, please contact the responsible officer: Nguyễn Khánh Thuật (email: thuatnk@uit.edu.vn) For more information, visit: https://nc.uit.edu.vn/nckh/nghien-cuu/thu-moi-tham-du-seminar-nckh-lan-9-nam-2023-khoa-mmttt.html Ha Bang - Contributing Communications Member of the University of Information Technology

Paper Title: "Apply Multivariate Time Series Approaches for Forecasting Vietnam Index 30" Paper Link: Springer Link Student Contributors: Nguyen Thanh Noi – 19521979 – Information Systems 2019: Lead author. Vo Quang Huy – 19521640 – Information Systems 2019: Co-author. Nguyen Minh Nhut – 17520867 – Information Systems 2017: Co-author. Supervisor: Assoc. Prof. Dr. Nguyen Dinh Thuan Paper Summary: The stock market is an attractive channel for many investment funds. The stock indices of several companies with the largest capitalization are essential indicators for the economic situation. The VN 30 index in Vietnam is calculated from the 30 companies with the largest capitalization and liquidity. Forecasting for these market indices is always a significant challenge. According to recent research, many prediction models for a variable, including LSTM and GRU, have been proposed to achieve good performance in analyzing time trends. However, stock indices are influenced by many factors that a univariate time series model cannot represent enough information. Therefore, this paper researches and applies multivariate time series with various methods from statistical VAR and machine learning regression to deep learning methods such as the LSTNet model combining CNN and LSTM, MTGNN applying graph neural networks, and DSTP using attention mechanism to weight dependencies for predicting the VN30 Index with multivariate time series data of the most significant and influential stocks on the current Vietnam stock market. The results of the study show that the LSTNet model achieves the best forecast among the experimented multivariate models with a 1.12% MAPE and outperforms univariate models. "We would like to express our gratitude to Assoc. Prof. Dr. Nguyen Dinh Thuan – Lecturer of the Information Systems Department for dedicated guidance, identifying limitations, and providing possible improvements, assisting the team during the research and publication of this paper." The 10th International Conference on Future Data and Security Engineering (FDSE) is a leading forum designed for researchers and students interested in advanced and practical activities related to data, information, knowledge, and security techniques to explore advanced ideas, present and exchange research results, and discuss new issues and future directions for research and development in data, information, knowledge, and security techniques. At FDSE, researchers and students can share research solutions for contemporary data and security technical and societal issues, identify new issues and directions for future research and development. FDSE Proceedings have been indexed in Scopus, EI Compendex, DBLP, and listed in Thomson Reuters' Conference Proceeding Citation Index (CPCI). For more details, please visit: UIT Fanpage Facebook Post Written by: Hai Bang Translated by: Ngoc Diem

Paper Title: "Translate Han-Nom to Vietnamese using Neural Machine Translation Methods" Paper Link: ResearchGate Link Student Contributors: Chau Tan – 20520926 – Software Engineering 2020: Lead author. Ngo Duc Vu – 20520950 – Software Engineering 2020: Co-author. Nguyen Minh Tri – 20522052 - Software Engineering 2020: Co-author. Nguyen Tran Anh Duc – 20521198 – Software Engineering 2020: Co-author. Supervisor: Assoc. Prof. Dr. Do Trong Hop Paper Summary: In ancient times, Han-Nom language, an ancient language of Vietnam, played a significant role in the country's history. Its alphabet, known as Nom characters, developed and thrived from the 10th to the 20th century. Initially used to record names of individuals and places, Nom characters gradually became popular and integrated into the nation's culture. However, over time, the use and understanding of the Han-Nom language have declined, leading to its gradual fading. To address this issue, we introduce a new translation tool in this article, leveraging the power of deep learning techniques. Our tool focuses on translating Han-Nom characters into Vietnamese, the contemporary language of Vietnam. To accomplish this translation task, we use two popular deep learning models: the Transformer model and the Seq2Seq model. The results from our experiments show that both the Transformer and Seq2Seq models achieve satisfactory translation results, with the Transformer model performing slightly better than the Seq2Seq model according to BLEU scores. Although the translations may not be perfect, these initial results hold promise for preserving and understanding the Han-Nom language using deep learning techniques. "We would like to express our gratitude to Assoc. Prof. Dr. Do Trong Hop for accompanying and guiding our team throughout the research and publication process of this international scientific paper." The International Conference on Advanced Technologies for Communications is an annual conference series organized jointly by the Vietnam Electronics and Telecommunications Association (REV) and the IEEE Communications Society (IEEE ComSoc) since 2008. The goal of this conference series is twofold: to create an international forum for scientific and technological exchange between Vietnamese scientists and engineers and their counterparts worldwide in the fields of electronics, telecommunications, and related areas, and to gather high-quality research contributions from them. For more details, please visit: UIT Fanpage Facebook Post Written by: Hai Bang Translated by: Ngoc Diem

At 8:00 AM on December 19, 2023, the December 2023 Master's Thesis Defense Ceremony for the Information System field took place in Room E9.3, University of Information Technology. The Faculty of Information Systems congratulates the students on the successful defense of their Master's theses in the Information System field: Student: Tran Duc Thuan. Thesis: Detecting credit card fraud using machine learning and fuzzy logic. Supervisor: Assoc. Prof., Dr. Nguyen Dinh Thuan Student: Vo Huynh Quang Hieu. Thesis: Extraction and analysis of information on Google about trends in the beauty care industry. Supervisor: Prof. Dr. Do Phuc Student: Nguyen Duong Kim Vy. Thesis: Forecasting fake news through knowledge graph approach. Supervisor: Prof. Dr. Do Phuc The Faculty of Information Systems congratulates the Master's students and sincerely expresses gratitude to the respected advisors and members of the Examination Committee. For more details, visit: https://httt.uit.edu.vn/le-bao-ve-luan-van-thac-si-nganh-httt-thang-12-nam-2023/   Hai Bang - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology