《Big Data Financial Decision-Making》Syllabus

Course Number:           2110020812

Course Name:               Big Data Financial Decision-Making

Instructors:                    Lv Wen

Required Text:            Hai Lin Wang. Financial Decision-Making with Big Data [M]. Beijing: Publishing House of Electronics Industry. 2023.

Course Description:      This course is a specialized elective platform course for the Financial Management major. It combines theory and practice, supported by the Xindao Cloud Platform. The platform includes financial big data analysis projects, visualization tool analysis projects, and general data mining and modeling methods. Through practical big data analysis, students enhance their business understanding and make informed decisions based on this foundation. The course aims to improve students' practical and digital financial management skills, thereby enabling the application of big data financial decision-making in the financial field.

                                                                                                   Credit/Teaching Hours

Outline of UG CPC Topics Covered in this Course:    (2Credits/32Teaching Hours)

I. Chapter 1: Overview of Financial Big Data (Theory)    （2 teaching hours）

II. Chapter 2: Financial Big Data Analysis Techniques and Tools (Theory)          

Financial Big Data Analysis Techniques and Tools (Practice）

                                                   （3 teaching hours）

III. Chapter 3: Analysis of Financial Statements with Big Data (Theory)

Analysis of Financial Statements with Big Data (Practice)

                                                   （4 teaching hours）

IV. Chapter 4: Financial Analysis with Big Data (Theory)

Financial Analysis with Big Data (Practice)

                                       （3 teaching hours）

V. Chapter 5: Sales Analysis Based on Big Data (Theory)

Sales Analysis Based on Big Data (Practice)

                                       （4 teaching hours）

VI. Chapter 6: Expense Analysis Based on Big Data (Theory)

Expense Analysis Based on Big Data (Practice)

                                                   （4 teaching hours）

VII. Chapter 7: Funds Analysis Based on Big Data (Theory)

Funds Analysis Based on Big Data (Practice)

                                                  （4 teaching hours）

VIII. Chapter 8: Procurement Analysis Based on Big Data (Theory) Procurement Analysis Based on Big Data (Practice)

                                                   （3 teaching hours）

IX. Chapter 9: Strategic Analysis Based on Big Data (Theory)

Strategic Analysis Based on Big Data (Practice)

                                                   （2 teaching hours）

X. Chapter 10: Financial Distress Analysis Based on Big Data (Theory)

Financial Distress Analysis Based on Big Data (Practice)

                                                   （2 teaching hours）

               Total (Teaching Hours)                                                                  32             

Summary of UG CPC Topics Covered in this Course:                   (32Teaching Hours)