Introduction to Python programming in finance
The main purpose of this project is to develop an efficacious teaching programme for finance students to master Python programming and enhance their learning experiences. The author designed two complete projects usings contents from CZ1103 Introduction to Computational Thinking and Programming a...
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Nanyang Technological University
2022
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sg-ntu-dr.10356-1565432022-04-19T08:43:44Z Introduction to Python programming in finance YE, Anran Li Fang School of Computer Science and Engineering ASFLi@ntu.edu.sg Engineering::Computer science and engineering The main purpose of this project is to develop an efficacious teaching programme for finance students to master Python programming and enhance their learning experiences. The author designed two complete projects usings contents from CZ1103 Introduction to Computational Thinking and Programming as these projects can be used to complement the module curriculum. These two projects, split into 6 sections each, aim to strengthen students’ knowledge as well as educate them on how to break down problems before analyzing and solving them. Through this, students can gain hands-on practice on programming as well as gain greater confidence and interest. Bachelor of Science in Data Science and Artificial Intelligence 2022-04-19T08:43:44Z 2022-04-19T08:43:44Z 2022 Final Year Project (FYP) YE, A. (2022). Introduction to Python programming in finance. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156543 https://hdl.handle.net/10356/156543 en application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering YE, Anran Introduction to Python programming in finance |
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The main purpose of this project is to develop an efficacious teaching programme for finance students to master Python programming and enhance their learning experiences.
The author designed two complete projects usings contents from CZ1103 Introduction to Computational Thinking and Programming as these projects can be used to complement the module curriculum. These two projects, split into 6 sections each, aim to strengthen students’ knowledge as well as educate them on how to break down problems before analyzing and solving them. Through this, students can gain hands-on practice on programming as well as gain greater confidence and interest. |
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Li Fang |
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Li Fang YE, Anran |
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Final Year Project |
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YE, Anran |
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YE, Anran |
title |
Introduction to Python programming in finance |
title_short |
Introduction to Python programming in finance |
title_full |
Introduction to Python programming in finance |
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Introduction to Python programming in finance |
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Introduction to Python programming in finance |
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introduction to python programming in finance |
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Nanyang Technological University |
publishDate |
2022 |
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https://hdl.handle.net/10356/156543 |
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