VECTOR | [3-0-0:3] |
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DESCRIPTION | This course focuses on the practices and processes that managers in the business sector adopt to advance innovation and attention is also paid to the strategies that policy-makers from regulatory background pursue to manage innovation. Technological innovation will be examined through its process of exploring, executing, leveraging, and renewing from both the perspectives of entrepreneurs and regulators. Students will be guided to seek a collaborative governance mechanism that is workable for different players and sectors in innovation to achieve sustainable growth. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6084) | Mo 09:00AM - 11:50AM | Rm 202, W4 | HOU, Yun SHIN, Jihoon WU, Xun | 40 | 21 | 19 | 0 |
VECTOR | [3-0-0:3] |
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PRE-REQUISITE | IPEN 5110 |
DESCRIPTION | This course focuses on the theoretical and analytical perspective of public management and institutions. It introduces students to key concepts in the discipline of public management and institutional analysis. The course begins with a review of the evolution of thinking in this field. In the following sessions, students will be extensively exposed to theoretical frameworks. The course aims to equip students with theories that help students in building up their capacity toward academic research. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6087) | Fr 09:00AM - 11:50AM | Rm 201, E4 | XU, Kewei | 15 | 5 | 10 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | The purposes of the course are to introduce to students key concepts in research design, and to help them develop skills in the design of empirical research for conducting innovation, policy and entrepreneurship studies. Specific emphasis will be on the use of quasi-experimental designs in policy research, as well as on their potentials and limitations. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6085) | We 01:30PM - 04:20PM | Rm 202, W4 | WU, Xun | 35 | 27 | 8 | 0 |
VECTOR | [3-0-0:3] |
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PREVIOUS CODE | IPEN 6100A |
DESCRIPTION | This course introduces students to empirical methods and data management tools used in the current social science disciplines, with some special focuses on strategy, finance and applied micro-economics. The overall approach is to understand the common methods and research design used in the empirical research through intensive reading and replicating papers published in top journals. Students would also become proficient in the use of computer software that is widely used in analyzing quantitative data via empirical assignments. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6086) | Th 06:00PM - 08:50PM | Rm 233, W1 | LI, Chenyang | 40 | 26 | 14 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course introduces the economic theories of decision making under risk and uncertainty and how agents with heterogeneous information interact strategically. Sample topics include expected and non-expected utility theories, models of strategic communication, and information design. Students will apply the theoretical tools to understand and improve real world institutions, such as employee feedback systems and transparency in organizations. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6089) | Mo 01:30PM - 04:20PM | Rm 149, E1 | ZHANG, Xu | 30 | 13 | 17 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course serves as an applied introduction to machine learning methods for text analysis. Several approaches on text data management and analysis will be covered in this course including basic natural language processing techniques, document representation, text categorization and clustering, document summarization, sentiment analysis, social network and social media analysis, probabilistic topic models and text visualization. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6088) | We 09:00AM - 11:50AM | Rm 202, W4 | XU, Kewei | 30 | 19 | 11 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course focuses on the development of the ESG (Environmental, Social and Governance) movement and its relationship with other long-standing concepts such as corporate social responsibility and sustainability. It aims to review the content, antecedences, and consequences of corporate ESG practices and stimulate new research ideas in related areas. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6091) | Mo 01:30PM - 04:20PM | TBA | HE, Jinyu | 20 | 10 | 10 | 0 | The classroom is W3-512. |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course deals with various issues when late-comer firms and countries may encounter in the technological catching-up with the more advanced firms and countries. Technological stages and paths are studied and highlighted at the three different levels of country, sector and firms. Students will learn various theories regarding technological catching-up and have opportunities to apply them to real cases. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6092) | 22-JAN-2024 - 14-MAR-2024 Tu 09:00AM - 11:50AM | Rm 102, E1 | SHIN, Jihoon | 20 | 7 | 13 | 0 | |
15-MAR-2024 - 10-MAY-2024 Tu 09:00AM - 11:50AM | Rm 201, E3 | SHIN, Jihoon |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course introduces behavioral economics - the incorporation of insights from psychology into economics - with an emphasis on its value for improving empirical predictions and policy decisions. Students will learn the major themes of behavioral economics and apply them to improve the design, implementation, and evaluation of public policies in a wide variety of domains. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6090) | Tu 01:30PM - 04:20PM | Rm 222, W1 | ZHANG, Xu | 30 | 11 | 19 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course provides an in-depth examination of the economics and policy issues surrounding energy. Topics include energy demand and supply, market structures, renewable energy technologies, fossil fuels, energy security, climate change, transportation, innovation, and policy analysis. Students will also participate in a research project to apply their knowledge to real-world scenarios. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6094) | Th 09:00AM - 11:50AM | Rm 201, W1 | LU, Yangsiyu | 20 | 12 | 8 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course explores the challenges associated with climate change, energy and environmental policies from multiple perspectives, disciplines and scales. Students will examine the evolving science and policy of climate change, observe the conflicts between energy companies and interest groups in China, discuss technology innovations and its impact on reducing greenhouse gases emission. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6219) | 22-JAN-2024 - 14-MAR-2024 Tu 09:00AM - 11:50AM | Rm 103, E1 | LI, Jia | 20 | 6 | 14 | 0 | |
15-MAR-2024 - 10-MAY-2024 Tu 09:00AM - 11:50AM | Rm 201, W1 | LI, Jia |
VECTOR | [3-0-0:3] |
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PRE-REQUISITE | IPEN 5140 |
DESCRIPTION | In the digital age, there is more data available than ever before on human behavior: from analyzing an elected official’s opinion on Twitter to identifying a farmer’s crop choices through satellite images. This course aims to familiarize students in applied economics, public policy, and relevant disciplines with recent research that has used big data to push the cutting-edge of the applied economic and public policy fields. Through a combination of problem sets and independent projects, students will acquire the statistical and computational tools needed for making use of big data in empirical research. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6096) | 22-JAN-2024 - 14-MAR-2024 Tu 06:00PM - 08:50PM | Rm 103, E1 | CHEN, Luoye | 30 | 8 | 22 | 0 | |
15-MAR-2024 - 10-MAY-2024 Tu 06:00PM - 08:50PM | Rm 202, W1 | CHEN, Luoye |
VECTOR | [3-0-0:3] |
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DESCRIPTION | All industries in China are actively taking effective actions to develop new and clean technologies in order to achieve the carbon peak and neutrality goal of shouldering the common destiny of human beings. This course examines the scientific, technological, and policy approaches that China and the rest of the world can take to achieve carbon peak and carbon neutrality. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6095) | Tu 01:30PM - 04:20PM | Rm 202, W1 | LI, Jia | 20 | 6 | 14 | 0 |
VECTOR | [1-3 credit(s)] |
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DESCRIPTION | Independent study in a designated subject under direct guidance of a faculty member to provide students the advanced knowledge and research skill sets on a topic of Innovation, Policy and Entrepreneurship. Required readings, tutorial discussions, and submission of report(s) will be used for assessment. The course may be repeated for credit if different topics are studied. Graded P or F. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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R01 (6187) | TBA | TBA | TBA | 100 | 2 | 98 | 0 |
VECTOR | [1 credit] |
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DESCRIPTION | This course is expected to expose the RPg students to the current innovation, policy and entrepreneurship research and development, and provide them with opportunities to make social contacts with the speakers in both environmental innovation communities and policy communities. This course will be an essential part of training for our RPg students. Seminar II is an extension of Seminar I. While the overall design of the seminar course looks essentially the same, topics covered and guests invited will be differentiated. Graded P or F. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6093) | Mo 06:00PM - 07:20PM | Rm 134, E1 | SHIN, Jihoon | 50 | 50 | 0 | 0 |
DESCRIPTION | Master's thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
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Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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R01 (6097) | TBA | TBA | TBA | 50 | 33 | 17 | 0 |
DESCRIPTION | Original and independent doctoral thesis research supervised by co-advisors from different disciplines. A successful defense of the thesis leads to the grade Pass. No course credit is assigned. |
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Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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R01 (6098) | TBA | TBA | TBA | 60 | 7 | 53 | 0 |