Technology and Innovation

General education knowledge: 36 CREDITS

Course	Credits
1. Marxist - Leninist Philosophy	3
Marxist - Leninist Philosophy module provides students with the most general knowledge of development and movement as a scientific basis for evaluating and solving problems arising in life. The module includes the basic contents: dialectical materialism, materialistic dialectism and historical materialism. Dialectic materialism provides learners with a scientific worldview as the basis for a positive and creative attitude to life. Dialectic materialism provides learners with a method of dialectic thinking to correctly recognize and solve problems in life. Historical materialism provides learners with a correct understanding of the existence and social development as well as the scientific methodology to recognize and solve social problems.
2. Marxist - Leninist Political Economics	2
The Marxist - Leninist Political Economy course is used for non-specialized political theory, studying the basic principles of Marxism-Leninism about the production of goods, the market and the role of actors in the economy. market economy. Research produces surplus value in a market economy, associated with it is the problem of capital accumulation and reproduction, along with manifestations of surplus value. The subject also studies competition and monopoly in the market economy. Study of the socialist-oriented market economy and economic interest relations in Vietnam. Study the strategy of industrialization, modernization and international economic integration of Vietnam.
3. Science Socialism	2
It is one of three constituent parts of Marxism-Leninism, a compulsory subject in the training program of universities and colleges in the country. The scientific socialism subject (social science) for the undergraduate degree without majoring in political theory equips students with the core content of the following specific issues: The process of formation and development of socialism; Working-class history mission; Socialism and the transition to socialism; Socialist democracy and a socialist state; The social-class structure and class alliances, class in the period of transition to socialism; Ethnic and religious issues in the transition to socialism; The family problem in the transition to socialism. On that basis, it helps students form their thinking, analytical skills, evaluate and identify the nature of socialism and the transition period to socialism in Vietnam, forming a school, Marxist-Leninist ideology, building appropriate social responsibility in employment and post-graduate life.
4. History of Vietnamese Communist party	2
Equip students with the knowledge of objects, purposes, tasks, research methods, study of Party History and the basic, core, systematic knowledge about the birth of the Party (1920 - 1930), the process of the Party leading the struggle for power (1930 - 1945), leading two resistance wars against French colonialism and the American imperialist invasion, completing national liberation, reunification (1945) - 1975), led the country transitionally to socialism and carried out the reform (1975 - 2018). Thereby affirming the successes, raising the limitations, summarizing the experiences of the revolutionary leadership of the Party to help learners raise awareness, belief in the Party and the ability to apply the learned knowledge. into practical work, contributing to building and defending the Socialist Vietnam Fatherland.
5. Ho Chi Minh’s Ideology	2
The Ho Chi Minh Thought module consists of 6 chapters, providing students with basic knowledge of: Objects, research methods, meaning of learning subjects. ; on the basis, process of formation and development of Ho Chi Minh's thought; Ho Chi Minh's basic ideas about national independence and socialism, the Communist Party of Vietnam, about national solidarity and international solidarity, culture, morality and people.
6. General Business English	4
General Business English helps students: - Develop English language skills on the topics and contexts of work and business environments. - Have general knowledge of many fields such as careers, companies, selling, great ideas and stress. - Equip knowledge and skills to take the test for the international certificate of business communication English (TOEIC), contributing to achieving English output standards at level B1 (according to the European Framework of Reference, CFER).
7. English for Technology, Communication and Design 1	3
This module aims to enhance students' comprehension of academic language and literacy practices within the field of Technology, Communication and Design. The design of the module facilitates the integration of language learning with key content areas, enabling students to develop a profound understanding of how language functions in communicating subject matter. Consequently, students will be able to acquire essential language skills relevant to the field of Technology, Communication and Design. Students actively foster their learning experience through engaging in diverse learning activities such as case studies, role-plays, simulations, presentations, and group discussions.
8. English for Technology, Communication and Design 2	3
The principal aim of this module is to enhance students' cognitive mastery of the intricate interplay between academic language and the specialized discourse conventions within the field of Technology, Communication and Design. The structural framework of the module strategically facilitates the integration of linguistic acquisition with the foundational subject matter, thereby endowing students with the capacity to cultivate a profound comprehension of the nuanced role of language in the dissemination of specialized knowledge. Consequently, students will acquire and develop essential language competencies that are intrinsically pertinent to the field of Technology, Communication and Design. Students will be involved in various interesting activities like studying real cases, acting out scenarios, doing simulations, giving presentations, and having group discussions to make their learning experience exciting and valuable.
9. Introduction to Psychology	2
The objective of the field of psychology is to understand how the mind and brain interact with the external world to shape behavior. This course is designed to be an introduction to the science of psychology, which focuses mainly on the study of mind, emotion and behavior in humans. The course will provide basic knowledge that helps students build foundations in psychology. Furthermore, students will also understand how the knowledge of psychology is applied in management, economics, marketing, consumer behavior, technology management, and other fields. The contents of this course will include 3 modules: (1) Module 1: Introduction to psychology, (2) Module 2: psychological processes and behaviors, (3) Module 3: Correcting individual and social behaviors.
10. Sustainable Development	2
The course "Sustainable Development" introduces students to the key principles, concepts, and challenges of sustainable development with a focus on the context of Vietnam. As a rapidly developing nation, Vietnam faces complex social, economic, and environmental issues that require sustainable solutions. This undergraduate-level course aims to equip students with a comprehensive understanding of sustainable development theory, its application, and the role of various stakeholders in achieving sustainable outcomes. Studying "Sustainable Development" is essential for students to develop a holistic understanding of the challenges facing the world and to equip themselves with the knowledge and skills needed to contribute positively to a sustainable and equitable future. The course fosters critical thinking, global awareness, and responsible citizenship while providing a pathway to meaningful and impactful careers in a world that increasingly values sustainability.
11. Design Thinking	2
Design thinking is a problem-solving method that puts the user at the center of the process. It provides a dynamic framework for approaching idea formation, creative exploration, and divergent thinking. The Design Thinking course provides knowledge of principles, tools, and methods that promote creative thinking, such as Empathy Map, Persona/ User profile, Journey Mapping, How might we …?, Value Chain Analysis, Brainstorming, Mind Mapping, Story Telling, Problem Statement, Concept Development, Assumption Testing, Rapid Prototyping, Customer Co-Creation, Prototype to test, Experience Testing, Learning Launch….. Students will learn purposeful use of tools and alignment with process to solve real-world situations. They will develop skills in teamwork, critical thinking, presenting and expressing ideas. Students will learn how to communicate effectively, give and receive feedback, respect the ideas and perspectives of others.
12. Entrepreneurship	1
The course will build on cross-curricular academic skills, by integrating inquiry-based learning and business tools that will enable students to analyze, create, develop and pilot small businesses. Concepts and skills are reinforced by a strong emphasis on hands-on experiences. Applications to society, individuals, and the utilization of technology are included.
13. Soft Skills	2
Soft skills course generates the foundation knowledge of soft skills, applicable to the workplace environment. The goal of learning is to combine the major knowledge with content and implementation of core soft skills techniques, giving students more effective access to the work environment after graduation. The core soft skills include Critical thinking; Problem-solving skills; Adaptability to the working environment; Effective communication and presentation skills; Service Oriented, Self-positioning skills, Feedback and Coaching.
14. Applied Statistics	3
Statistics for Economics and Business course provides in a systematic way statistical methods including gathering data on economic; business phenomena and processing collected data into useful information which are used as facts for making decisions for the management of the economy and society. These methods include descriptive statistics, statistical inference, index-number, forecasting ... To introduce students to popular and easy to use packages as a tool to support statistical treatments to save time, effort and increase the accuracy of the results, helping students familiar with outputs from the packages.
15. Mathematics for Computing	3
Discrete mathematics is a foundational module of the bachelor's degree program in Technology and Innovation. This module provides knowledge as a basis for learning specialized subjects, including basic concepts of logic and propositions, basic concepts of algorithms, computational complexity, mathematical problems. counting, existence problems, enumeration problems, combinatorics, graph theory, graph types, and algebraic logic functions.

Subjects of Major: 32 CREDITS

Course	Credits
16. Programming Fundamentals	3
This module equips the basics of programming techniques as one of the foundations in the fields of Computer Science and Information Technology. In addition, the course presents the basic concepts of algorithms and how algorithms are developed. The module also provides knowledge of C # programming languages such as: data types; declare variables, constants, expressions; assignment commands; import and export data; branch, loop control structures; 1 and 2 dimensional arrays; function / method; string type; file, ... so that students can apply the settings of the algorithms from elementary to advanced.
17. Linear Algebra	3
This subject equips students with knowledge of Linear Algebra to equip some scientific reasoning and calculation tools to apply in the next subjects. + Matrices and Its Basic Operations. + Determinants and Its Properties. + Inverse and Rank of Matrices. + Systems of Linear Equations and Solution Methods. + Vector Spaces, Linear Independence Sets, Basis and Dimension. + Subspaces and Its Basic Properties. + Inner Products and Its Properties, Euclid Space. + Orthogonal Basis, Orthonormal Basis, Gram-Schmidt Process. + Orthogonal Matrices, QR-Decomposition. + Linear Transformations, Eigenvalues and Eigenvectors. + Diagonalization, Quadratic Forms.
18. Data Science	2
This module aims to equip learners with basic knowledge of data science, heritage problems and methods; includes methods of math-statistics and computing, and application of DS for practical socio-economic problems. In addition, the module helps learners have necessary knowledge and skills on the application of new technologies in data collection and analysis in the fields of marketing, supply chain management, financial analysis and credit activities.
19. Information Security	3
This course equips learners with basic knowledge of information, common issues of information security for software, information systems and smart technology equipment. At the same time, training skills in applying information security methods and tools to ensure safety and security for software, intelligent technology equipment, and information systems of businesses, organizations and individuals. In addition, students will be given discussion topics / exercises to apply knowledge learned.
20. Innovation Management	3
The Innovation Management module provides students with the basic concepts and knowledge of innovation management, how to manage innovation in business, as well as building an understanding of the challenges and opportunities for innovation. association regarding this issue. Businesses large and small are all faced with dealing with complex concepts and knowledge of innovation, which requires not only the generation of creative ideas, but also the management of innovative ideas. Therefore, in this course, students learn about the innovation process, how to generate ideas and evaluate ideas. It provides methods and tools for research, development, and sustainable innovation management.
21. Technology Management	3
Technology management is a discipline that examines the advent of new technologies and technological changes in the production of goods and services for the market. This subject integrates technology into business and contrasts the possibility of commercialization with its benefits/disadvantages for Business and society. The course design consists of three main parts; The first is knowledge of technology, technology trends in industries, management of technology deployment and importantly, the combination of people and technology in the development of competitive solutions at enterprises. The second part is the project of applying a new technology solution as well as optimally exploiting the technologies of an enterprise. This section is studied in a project-based manner and applied in a business context. Finally, there are personal skills for students in accessing technology, analyzing which technologies bring new value to businesses, and skills to work in digital transformation projects/enhance technology solutions. for Business.
22. Data Science Advanced	3
This module provides hands-on data analysis learners towards solving real-world problems through data collection, management, and analysis skills using Python and other programming languages. Module content includes an introduction to data structures, exploratory data analysis, statistical inference and modeling, machine learning, and multidimensional data analysis. Learners are trained in the necessary skills to develop data products including; Reproducible reports can be used to effectively communicate the results from data analysis. The module includes a data science project that will be done in a small team for a real client from the enterprise. This includes project management, requirements specification, design, coding, data collection and management, testing, documentation, and presentation.
23. Business Intelligence	3
This course equips students with the knowledge and skills needed to be able to design an IT solution to support business decision making (Business Intelligence - BI): to understand the standards. Modern reports, mastering design methodology and effective design reports that support business decision-making, including Dashboards and Scorecards, that meet strategic goals; have a thorough understanding of OLAP and key data mining techniques; know how to use an existing BI software, and use a software tool proficiently to convert data into information, making reports to support business decisions.
24. Global Innovation System	3
Global Innovation Systems (GIS) is a subject that studies and introduces the combination of creativity and innovation in global business. The course helps managers to develop a cross-border innovation system, combining innovation within enterprises and national-regional and global innovation systems. Therefore, the subject develops skills in nurturing a culture of innovation in competitive change, technology in building and integrating global innovation achievement, risk management and operations management. multinational innovation. In addition, the course provides skills to set up GIS, change people skills to integrate new technology and wide applicability in GIS. The course is divided into 3 parts; the first part discusses the principles of GIS governance, the second highlights the role GIS plays in global businesses, and the last part introduces GIS integrated solutions in national-regional-global innovation.
25. Fundamentals of Digital Systems	3
This module helps learners understand the basic concepts of digital systems, system design (control, processing, computing) and how to represent information, design gates in digital logic, analysis and synthesis of associative logic, hardware description language (HDL) and hierarchical design, synchronous sequential logic analysis and design, Hardware specification and documentation, computer organization, memory and digital interface. Instruction set architecture and assembly language programming, emphasizing the relationship between software and hardware. Besides, the lab practice on CAD software will help learners understand the system clearly.
26. A.I. for Business/Machine Learning	3
This course helps students learn the basics of big data, machine learning, and Artificial Intelligence (AI) that will influence business strategy. The program will review the knowledge principles related to the benefits of big data and the role of data in business decisions in the industry 4.0 era and knowledge of AI (including the role of Machine Learning) in business applications, applications in several key industries, competitive advantages of AI in strategy, and risks and ethics in using AI for business strategy.

Subjects of Minor: 42 CREDITS

Course	Credits
27. Applications Programming	3
This course introduces fundamental concepts in computer programming with a focus on business applications. In the course, students will develop an understanding of basic programming logic and learn how to use basic programming constructs to solve business problems. Students are introduced to the object-oriented paradigm, the program development cycle, and programming principles. The course covers the basics of object-oriented programming, program design principles, programming structures, types and data structures, program testing, and debugging. Emphasis is placed on implementing procedurally structured programs, along with graphical user interfaces and event-driven code. Upon completion, students will be able to design, code, test, and debug programs based on business requirements in their chosen programming language.
28. Data Visualization	3
This module focuses on building creative and business skills to transform data into visual reports for the purpose of generating understanding, perception, inference, and information simplification. Students will learn how to use software to enter, organize, and visualize data emphasizing the application of principles of graphic design, perceptual art, and perceptual psychology to the creation of graphs and pages. a clear, elegant overview that conveys the essence of the insights, messages, or recommendations distilled from the data. Students will become familiar with exploratory and explanatory data visualization techniques for presentation and storytelling. In addition, students will work together on group projects to develop data visualization skills from a business project or technology creation, thereby perfecting competencies; visual thinking, data analysis, choice of visualization technology, reader-oriented design, and data normalization/ethicalization
29. A.I. Project	3
This module aims to equip learners with skills to apply AI and machine learning methods to practical problems of the socio-economic field. Help learners understand the knowledge and form necessary skills to participate in the coordination/management of software projects for research and management in the fields of marketing, supply chain management, financial analysis, credit analysis. Learners are encouraged to innovate and apply AI to new business start-ups with an innovative project or to start a new business under the guidance of expert Instructors.
30. Web Design and Development	3
The module provides basic technical knowledge to help learners design and develop web applications in economics/business. Learners are introduced from the general knowledge of the Web and Internet environment, the client-server architecture model of web applications, to the specific steps to set up a website, the website programming language. from basic to advanced. In addition, website exploitation and optimization services in the digital era are also introduced for students to grasp and apply in practice (web 1.0, 2.0, 3.0; social media...). This course is in the form of a project. Students will follow a website design project at the beginning of the course to understand the technology of building web applications, website optimization, web application security measures and updating trends. Website development on multimedia interface platforms.
31. Leadership in the digital era	3
Today's leaders consider digital transformation in the organization as a desire/desire and urgent. So, shared leadership principles are becoming dominant in digital terms, although shared leadership principles are still valid. In this course, new issues from digital in leadership are covered such as: digital/digital transformation from a strategic point of view, competitive/adaptive organizational leadership, leadership methodology new/in digital, innovation and technology application…Students after learning, the concept of digital leadership, sustainable leadership and adapting to a culture of innovation and competition painting in the 4.0 era.
32. Technology Innovation	3
Technology has become one of the most crucial and significant factors driving progress and economic growth. This course provides foundational knowledge, characteristics, properties, and the advantages and disadvantages of technological solutions such as Virtual Reality (VR), Augmented Reality (AR), and Extended Reality (XR). These advanced technologies are promising and are expected to have a significant impact in the future. Various applications and business trends based on these platforms will also be discussed. Additionally, learners will have the opportunity to practice and use some common tools to develop basic applications for these technologies.
33. Entrepreneurship Promotion	3
This module provides learners with the knowledge to understand the key business aspects in the early stages of a company's development, so that they can more effectively manage and grow a start-up company. The module also provides a foundation for launching and successfully implementing startup projects in established organizations. This module prepares learners for a future career as entrepreneurs, founders of new businesses or launching new start-ups in established organizations.
34. Digital Business Transformation	3
With the continuous development of technology, and the constantly changing environment, there is a need for creativity and innovation connected with technology for businesses to be able to stand on the market. New age technologies are surrounded by data and are changing business and markets. Technology is currently ranked as an organizational force that revolutionizes the products, operations and business models of companies. In a business environment driven by technology, competition comes from everywhere, boundaries are blurred. Technology is reshaping the business landscape; this course includes theoretical sections on concepts and seminar activities.
35. Mobile Application Development	3
This course is a hands-on introduction to prototyping mobile applications and mobile services. Built on basic JavaScript programming skills, React Native is the preferred framework for cross-platform mobile app development. The concepts of location-based service, social computing and cloud-based computing will be best introduced for mobile programming. The concept of context is also integrated in theory and practice for mobile user interaction analysis and design. Student work in the course revolves around weekly individual assignments as well as a 4-5 week 'mini project' done in groups of 3-5 students interns developing mobile applications such as analysis, design, development and evaluation of mobile solutions. At the end of the course, learners are able to design, develop and evaluate a mobile application. In addition, the course content also equips learners with knowledge about the field of human-computer interaction related to mobile devices, social and ethical aspects (including privacy issues).
36. Introduction to Human - Computer Interaction	3
Human-computer interaction (HCI) is a discipline concerned with the design, evaluation, and implementation of interactive computer systems for human use and the study of the major phenomena surrounding them. In human-computer interaction, the primary goal is to perform analysis, establish requirements, design and evaluate computer-based interactive products and systems for users. In terms of interaction, the course discusses the design of cognitive and perceptual screens (with attention, memory, thinking, role-playing and senses...) in the experience of interacting with people. Human-machine communication model in business applications, based on virtual space, virtual assistants, mobile devices and robots. This is a subject that values user experience on technology (UX/UI).
37. Scientific Mindset	3
The course provides students with basic skills in scientific research methods and how to combine it with design thinking to carry out a small research project. Students will learn how to formulate research questions, collect and analyze data, and present results. At the same time, students will apply the design thinking process to identify and solve real-world problems. This module helps develop analytical, creative and critical thinking abilities in solving scientific and practical problems. Learning outcomes include completing a research project with high applicability and scientific value.
- Technology Group

- Elective: Select 3 out of 4	9

38. Database Management System	3
This course provides knowledge of the concepts and practical problems associated with database management systems. Course content includes relational database modeling (callback) and extensible query language, modeling, Datawarehouse design, OLAP techniques. Data-intensive computation with MapReduce/Hadoop (structured and unstructured data). The course then addresses issues and techniques for dealing with multi-user application environments: transaction processing problems, concurrency control, and data recovery problems.
39. Fintech	3
The Finance and Technology (Fintech) module provides university students with in-depth knowledge about the mechanism and impact of Fintech on the activities of commercial banks and traditional supervisory institutions, especially factors related to technological breakthroughs, changes in consumer behavior, future development trends of money, and the appearance of new competitors. It is important that students realize business models that can join and disrupt traditional financial models brought about by technology and innovation (Apple pay, Amazon, Grab...). Fintech is also a subject that confirms the big data role of financial technology in determining global economic and monetary change. How will financial institutions react? How the new model of banking and credit institutions and new technology also interferes in the future digital currency war.
40. Technology Commercialization	3
The module Commercialization of technology products aims to provide students with theoretical and practical knowledge related to technology transfer and product commercialization. Students gain knowledge and skills to plan, evaluate technology, assess market, and position technology. Furthermore, students understand the role of different types of intellectual property in the competition, development and commercialization of scientific and technological products.
41. Data Structures and Algorithms	3
This course helps students understand the importance of organizing data and algorithms. The content of the course presents data structures including arrays, lists, stacks, queues, linked lists, trees, graphs, and today's popular search and sorting algorithms. In addition, the course also helps students supplement and perfect programming skills and programming thinking in building a computer program.
- Innovation Group

- Elective: Select 3 out of 5	9

42. Social Innovation	3
Social innovation helps to address the most pressing issues of our time such as climate change, worldwide chronic epidemics, and growing inequality. Social innovation brings about the processes, metrics, models and methods used to innovate in the commercial or technological sector. This module equips learners with social innovation thinking in the process of starting, operating or participating in the operation of existing businesses. Learners are provided with an overview of processes and strategies to create positive changes for society. Through learning and discussion activities in the form of thematic discussions with the participation of social enterprises, social activists and group exercises focusing on solving social innovation situations.
43. Service Innovation	3
Innovation in the service industry is a business change towards creating value for customers. Especially helping service industry managers design excellent customer experiences through service, brand people and positive perceived connections from customers. The course provides innovative tools for application in the service industry from accommodation, banking, aviation, transportation, personal care, health services, education and industrial services. other. In this course, identifying forms of innovation, practicing innovation research in different service areas, the role of technology application in the service industry, innovation culture in the service industry. service innovation and service innovation leadership issues. The course is designed in 3 main parts, including the framework of instrumental knowledge, applied research content and the ability to self-study as well as develop a career for students in the service industry. The course also aims to encourage students to start a business in the service sector in the Vietnamese context.
44. Innovation Culture	3
This module helps learners understand the importance of innovation culture in the innovation process at enterprises. Learners are provided with knowledge to locate the innovation culture at the enterprise, understand the barriers that enterprises must face in the process of forming an innovation culture. By assessing the current state of innovation culture at a particular enterprise, learners can apply their knowledge to understand what businesses need to do to build and develop an innovation culture.
45. Marketing Innovation	3
Marketing Innovation is a design course aimed at successfully bringing products and services to market in conditions of continuous innovation. Marketing execution environment always has challenges from competition and changes of customers/consumers, so applying innovation must aim to solve competitive problems in marketing from identifying market opportunities. marketing, product/service design, effective marketing channels or service solutions as well as branding. The course is designed in 3 parts; The first part introduces the creative nature of marketing, innovation strategy, and innovative applications in customer experience, product, distribution/sales, and branding. Part two guides the case study of marketing must apply innovation to help increase the ability to identify and solve problems. Finally, practice the skill of applying knowledge by a project to a specific product/brand.
46. IP Management	3
The Intellectual Property Management module provides students with basic concepts and knowledge about types of intellectual property and intellectual property rights, as well as how to build processes for managing assets. intelligence in business operations, especially in innovation and research and development activities. Intellectual property increasingly accounts for a large proportion of the value structure of businesses and accounts for more than 80% of the total value of businesses in the S&P 500 portfolio (in 2020). Therefore, the management of intellectual property has become one of the urgent tasks of every business. In this subject, students learn the foundational knowledge of intellectual property, the legal provisions related to intellectual property, the process of formation, methods of management and exploitation and development of intellectual property. wisdom. Thereby providing students with legal knowledge and tools to build and operate a management system, develop and effectively exploit intellectual property.
- Business Group

- Elective: Select 3 out of 5	9

47. Entrepreneurial Finance	3
The module begins with providing the basics of the startup environment such as business idea development and startup funding. Part two will provide knowledge about organizing and operating a business project: organizing and financing a new business venture, preparing financial statements and using financial information to decision making, and the evaluation of financial and operating results. Part three addresses issues related to future planning activities such as cash flow management, types of capital and financing costs, and examines the legal aspects of securitization. The fourth part provides the facts and tools in estimating the value of a business project: planning the financial statements of the project, evaluating the business project in the early stages, and methods. method of assessing the capitalization of a business project. The fifth part will introduce the financial structure for a growth business project, this part will deal with issues such as raising capital from investment funds or finding other sources of funding, capital mobilization from securities and business valuation. Finally, we'll go into the introduction of the business venture and exit strategy.
48. Decision Analysis	3
Technical and business-related decisions (both good and bad) can have a huge impact in creating huge wealth or pushing prosperous corporations into bankruptcy. Making decisions under conditions of risk and uncertainty is an important skill that forms the basis of modern data analytics to mine, process, and extract knowledge. The Decision Analysis module is designed to help students form, collect, analyze, model, and interpret information for "best" decision-making.
49. Introduction to Enterprise Resources Planning	3
Provide students with basic knowledge of ERP software system. The main components in an ERP system and their relationship with the information system, functional and business processes of the enterprise. Detail: ● Understand what ERP is? Objectives and key components in an ERP system. ● Master the process of forming and developing ERP software system. In addition, students will also practice illustrated on specific ERP systems. Course content includes: ● Provide concepts in ERP including: ● Key components in an ERP system ● How the ERP system works ● Understand the goals of the ERP you want to achieve ● How to apply ERP in the enterprise ● Introduction to the Microsoft Dynamicx AX system. ● Create and manage product data and related parameters on the Dynamic AX system ● Understand the principles of Procurement processes, practice on the Dynamix AX system. ● Understand the principles of Trading processes, practice on the Dynamix AX system.
50. Microeconomics	3
The principle of microeconomics is an introductory subject for students in Economics - Business and Management, teaching about the basic principles of microeconomics. This course will help us make decisions and understand how the world works by studying the behavior of economic actors in the market for decision making to effectively allocate scarce resources. The course focuses on the motives and decision-making of the subjects and the interactions affecting other subjects as well as the economy as a whole. The course also identifies market failures, which are the basis for government corrections toward optimum efficiency under a competitive overall equilibrium.
51. Macroeconomics	3
Macroeconomics is a study of the economy as a whole, including the description and measurement of macroeconomic variables such as gross domestic product, prices and inflation, and employment. and unemployment, aggregate consumption, investment, government spending and taxes, money supply and demand, interest rates, trade deficit / surplus, balance of payments and exchange rates ... Simple economic models will help us explain the relationships between these variables. On that basis, we will study the short-run economic fluctuations, the problems of the economic cycle, supply and demand-side shocks, and the role of stabilization policies such as policy. fiscal and monetary policy.

General education knowledge: 36 CREDITS

Subjects of Major: 32 CREDITS

Subjects of Minor: 42 CREDITS

Graduation Internship: 15 CREDITS

Total credits: 125 CREDITS

UEH Standard Programs

General education knowledge: 36 CREDITS

Subjects of Major: 32 CREDITS

Subjects of Minor: 42 CREDITS

Graduation Internship: 15 CREDITS

Total credits: 125 CREDITS