Brief Course Description
1. Course Title:
Informatics in Business
2. Language of Instruction:
Tiếng Việt/Tiếng Anh
3. Course Code:
INF509001
4. Credits:
3
5. Course Objectives:
Môn học cung cấp cho sinh viên kiến thức chuyên sâu về các công cụ phổ biến trong công việc từ cơ bản đến nâng cao, hỗ trợ học tập và công việc. Sinh viên cũng sẽ hiểu rõ về ứng dụng tin học trong kinh doanh, hệ thống thông tin quản lý và sử dụng các phần mềm phân tích kinh doanh hiệu quả./The module equips students with in-depth knowledge of common work tools from basic to advanced, supporting learning and work. Students will also understand clearly about business information technology applications, management information systems and effective use of business analysis software.
6. Brief Description of Course Content:
This course helps students develop skills in using common ICT applications in workplaces to meet business requirements. Students are also equipped with knowledge to enable them to use MS Excel effectively in other economics courses.
This course is divided into 4 parts.
a) Part 1: An overview of informatics: Provides students with basic concepts in information technology, information systems, databases, Internet, web, e-commerce; software types; privacy, and security.
b) Part 2: Business reports and presentations. Provides students with the skills needed to produce a vivid and effective standard business report and presentation (using Microsoft Word and Microsoft PowerPoint).
c) Part 3: Data representation and extraction using MS Excel: Provides students with the ability to analyse data management requirements in Small and medium enterprises, select and design appropriate date structure, and efficiently (e.g. accurately, quickly and inexpensively) extract data through MS Excel functions.
d) Part 4: Analyse business data using MS Excel. Provides students with the ability to manipulate Excel functions and tools in summarising and analysing data to solve basic business and management problems, such as organising data, selecting computational models and using computational results to make management decisions.