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"Analysis of the Course Design of\"Financial Analysis\"Based on Big Data Technology"

Published: 15 January 2024 Publication History

Abstract

Taking the "Financial Analysis" course of Major in Financial Management of Modern College of Northwest University as the object, explore the combination of big data technology and course content to set up a teaching platform. The curriculum is designed from the aspects of teaching mode, content reconstruction, curriculum realization process, assessment content, and technical level to solve the problem of teaching difficulty of teachers and students. Fundamentally change the course teaching process. Through the simulation teaching system (X-Verse) and Python code dual-mode operation, embedded data mining algorithm tools, building block mode and other ways to reduce the difficulty of business teachers and students. At the same time, it is close to the real application environment of the enterprise to enrich the teaching content, improve the teaching efficiency, and strengthen the practical operation. Finally, the curriculum teaching concept of "student-centered learning" is realized.

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  1. "Analysis of the Course Design of\"Financial Analysis\"Based on Big Data Technology"

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    ICETC '23: Proceedings of the 15th International Conference on Education Technology and Computers
    September 2023
    532 pages
    ISBN:9798400709111
    DOI:10.1145/3629296
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 15 January 2024

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    Author Tags

    1. Big data technology
    2. Financial analysis
    3. python

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