DSS301
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Đã duyệt

Decision Support System_Hệ thống hỗ trợ ra quyết định

Decision Support System

Tín chỉ
3
Bậc
Bachelor
Thang điểm
10
Điểm qua
5

Mô tả

A decision support system (DSS) is a computer-based information system that supports decision-making activities within an organization. A DSS helps decision-makers gather and analyze data from various sources, such as databases, spreadsheets, and external data feeds. It then presents the data in a way that allows decision-makers to make informed choices. A DSS typically includes a set of tools and techniques that assist decision-makers in the decision-making process. These tools can include data visualization tools, data mining tools, forecasting tools, and optimization tools. Some DSS also incorporate artificial intelligence and machine learning techniques to help decision-makers identify patterns and trends in the data. The primary goal of a DSS is to improve the quality of decisions by providing decision-makers with timely, accurate, and relevant information. DSS can be used in a variety of industries and applications, such as financial planning, inventory management, supply chain management, and marketing analysis. By the end of this course Students will be able to: a) Knowledge: (what will students know?) - What is a decision support system, the importance of a decision support system in an enterprise? - Identify the various types of decision support systems and their applications - Structure of a decision support system, which components are included? - Methods and processes to build and manage a decision support system - Understand the basic algorithms and techniques applied in the decision support systems - Understand the ethical and social implications of decision support systems. b) Skills: (what will students be able to do?) - Design and develop decision support systems using appropriate software tools and programming languages - Evaluate the effectiveness of decision support systems and recommend improvements

Phân bổ thời gian

Study hour (150h) = 45h contact hours + 1h final exam + 104h self-study

Nhiệm vụ sinh viên

- Attend at least 80% of contact hours in order to be accepted to the final examination - Actively participate in class activities - Fulfil tasks given by intructor after class - Use their own laptop in class only for learning purpose - Read the textbook in advance - Access the course website (https://flm.fpt.edu.vn/) for up-to-date information and material of the course, for online supports from teachers and other students and for practicing and assessment.

Công cụ

Power BI Weka Orange Magic Quadrant for Data Quality Tools Decision Explorer GapMinder Analytica …

SyllaBase

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