Undergraduate course, Hung Yen University of Technology and Education, 2023
(2023 - Present). The course provides students with the necessary techniques for analyzing and understanding text data to find useful information to support decision-making systems. Through practical projects, learners will be trained to have skills in programming, analyzing, and synthesizing text data from many different data sources.
Undergraduate course, Hung Yen University of Technology and Education, 2023
(2023 - Present). The course covers comprehensive knowledge across 3 parts: artificial neural networks (ANN, optimization methods), famous DL models widely applied worldwide, and Regression Learning trends. Students experience machine vision applications (image recognition, visual art generation) and NLP applications (emotion analysis, social network analysis).
Corporate Training, Vin BigData, 2020
(2020). The objective is to provide fundamental knowledge and practice via project-based courses for AI candidates of Vin BigData.
Undergraduate course, Hung Yen University of Technology and Education, 2020
(2020 - 2022). This module provides fundamental knowledge of machine learning concepts, techniques, and models in supervised learning (Logistic Regression, Decision Tree, SVM) and unsupervised learning (clustering). Students work on real-life projects such as price prediction, credit assessment, and intrusion detection.
Professional Training, AI Academy, 2019
(2019, 2020). The objective of these project-based courses is to provide fundamental knowledge and practice for both IT and non-IT learners who can work with practical AI projects.
Undergraduate course, Hung Yen University of Technology and Education, 2012
(2012-2015; 2018-Present). Formerly named Software Analysis and Design. This course provides basic knowledge about software design analysis techniques, including methods, tools, and processes. It serves as a basis for OOAD, Testing, and Project Management while introducing practical software tools.
Undergraduate course, Hung Yen University of Technology and Education, 2011
(2011-2015; 2018-2022). This course provides knowledge of OOP principles using the C# language. Topics include building classes for data encapsulation, interfaces, abstract classes, and inheritance.