All Courses(A-Z)
Course Code
F7122010
Course Name
Application of Fintech (I)
Credit
2.0 - 2.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
This course will provide students with exposure to new Fintech services within a critical context and framework analyzing traditional money, banking and financial markets combined with interdisciplinary content from Computer Science and Entrepreneurship.
Course Code
F7122011
Course Name
Application of Fintech (II)
Credit
2.0 - 2.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
This course will provide students with exposure to new Fintech services within a critical context and framework analyzing traditional money, banking and financial markets combined with interdisciplinary content from Computer Science and Entrepreneurship.
Course Code
F7123036
Course Name
Applied Financial Econometrics
Credit
2.0 - 2.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
Financial econometrics is the intersection of statistical techniques and finance. It provides a set of empirical tools to analyze historical financial data, model underlying economic mechanisms, and predict future price trends. This course covers both cross-sectional and time-series data. Multivariate regression analysis is developed to study the cross-sectional differences in stock returns of individual firms and associated portfolio models. Applications of these techniques to evaluate the performance of new trading strategies and hedge fund managers are also discussed.
Course Code
F7123038
Course Name
Asset Pricing and Risk Management
Credit
2.0 - 2.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
This course will first teach theoretical aspects of both asset pricing and risk management, then the application of both asset pricing and risk management will be discussed in detail. Asset pricing and risk management will be both theoretically and empirically explored in detail. Real-world examples will be used to enhance students’ understanding of both asset pricing and risk management.
Course Code
F7123037
Course Name
Blockchain and Digital Currency
Credit
2.0 - 2.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
This course provides an introduction to two of the most interesting topics of the subject of FinTech that didn’t exist only a decade ago. The idea of digital currency and blockchain are very much intertwined, one emphasizing on the computer science aspects while the other on economics. We are primarily focusing on the history, evolutions of the concepts as well as some of their practical applications. Central Bank Digital Currency will also be covered.
Course Code
F7123049
Course Name
Cloud Computing and Biometrics
Credit
2.0 - 2.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
This course is designed for master students to learn definitions of Biometrics, characteristics and key biometric processes, verification and identification, and Biometric matching. It also introduces the performance measures in biometric systems and the assessment of the privacy risks of Biometrics. Students are instructed to design privacy sympathetic biometric systems with different biometric standards. Moreover, the class introduces the basics of distributed concepts, grid computing, roots of cloud computing, deployment models, service models, and refactoring, etc.
Course Code
F7121019
Course Name
Corporate Finance
Credit
3.0 - 3.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
On successful completion of this subject, the student should be able to: 1. Demonstrate competence in applying modern corporate finance theory to financial management of corporate resources, financial planning and strategies in real world; 2. Demonstrate an understanding the increasing complexity of the real business environment and departure from the assumptions of an ideal capital markets; 3. Develop and construct corporate financial policies and management strategies, including the management of corporate debt and equity, mergers and acquisitions,
Course Code
F7122011
Course Name
Cross-cultural Management and Communication
Credit
1.0 - 1.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
Cultural differences are often the roots of conflicts and failure of international communication, management, and business operation. Today, not only more and more foreign companies operate in China, but also there is an increasing number of Chinese companies going abroad, either through acquiring existing company or through green-field investment. As corporate world increasingly becomes internationalized, managing culture’s impacts on business and management becomes a key for success.
Course Code
F7123048
Course Name
Distributed Ledger Technology
Credit
2.0 - 2.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
The course aims to develop an understanding of the requirements for electronic payment systems and how these requirements are realized using distributed ledger technologies. The technical ideas to be understood include the key cryptographic constructs, economic incentive mechanisms, and distributed algorithms underpinning cryptocurrencies such as Bitcoin and Ethereum. The concept of smart contracts will be introduced, and the course aims to develop a basic facility with smart programming contracts on one cryptocurrency platform.
Course Code
F7121018
Course Name
Economic Analysis and Application
Credit
3.0 - 3.0
Instructors
Parent ID Semester (field_semester) - Any -2016/2017 Fall Winter2016/2017 Spring Summer2017/2018 Fall Winter2017/2018 Spring Summer2018/2019 Fall Winter2018/2019 Spring Summer2019/2020 Fall Winter2019/2020 Spring Summer2020/2021 Fall Winter2020/2021 Spring Summer2021/2022 Fall Winter2021/2022 Spring Summer2022/2023 Fall Winter2022/2023 Spring Summer
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Introduction
This economic class provides a comprehensive and systematic review of modern economic theories and applications, designed to teach how to employ economic models to analyze the economic scenarios and solve real-world problems. The first part relates to the classic theory of consumer behavior, the theory of production and firms, and the competitive equilibrium reached between producers and consumers in perfectly competitive markets. The second part involves the analysis of market imperfections.