 |
| VECTOR | [3-0-0:3] |
|---|---|
| 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 |
|---|---|---|---|---|---|---|---|---|
| L01 (6197) | Mo 06:00PM - 08:50PM | Rm 101, W4 | HOU, Yun LI, Moyan SHIN, Jihoon | 40 | 29 | 11 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | The course will provide an advanced foundation in the study and practice of public policy at the level required for graduate study. The course will cover both the historic foundations of policy studies, as well as emerging approaches and directions. As the study of public policy is inherently interdisciplinary, it will include perspectives from political science, public policy, economics, business and other aspects of social science. It will take a broad view of public policy, including taking up some of the core literature on public management and public administration. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6198) | Tu 09:00AM - 11:50AM | Rm 101, E1 | WU, Xun | 60 | 53 | 7 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| PREVIOUS CODE | IPEN 5600 |
| DESCRIPTION | This course introduces the economics of technology innovation and entrepreneurship through the combined perspectives of microeconomics and macroeconomics. It covers microeconomic core modules concerning consumers, firms, markets, and governments, as well as macroeconomic core modules on economic growth associated with entrepreneurship and innovation. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6199) | Fr 09:00AM - 11:50AM | Rm 147, E1 | LI, Chenyang | 60 | 55 | 5 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| 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 |
|---|---|---|---|---|---|---|---|---|
| L01 (6200) | We 06:00PM - 08:50PM | Rm 102, E4 | LI, Moyan | 40 | 15 | 25 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | Technological innovation is increasingly the source of sustainable competitive advantage for firms worldwide. This course introduces a grounding in the field of technology and innovation, with an emphasis on economic policy and business strategy. The course will be highly interactive and apply multiple disciplines including economics, management, law and public policy. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6201) | Tu 01:30PM - 04:20PM | Rm 101, E1 | XU, Kewei | 60 | 54 | 6 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| 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 |
|---|---|---|---|---|---|---|---|---|
| L01 (6202) | We 01:30PM - 04:20PM | Rm 201, W2 | XU, Kewei | 40 | 33 | 7 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This course introduces the methodology of experimental economics and related behavioral theories, with an emphasis on social-psychological elements of preference and organizational design. Experiments studied will include ones based on the prisoners’ dilemma, dictator game, ultimatum game, and especially the public goods game and the trust game, along with more complex designs for studying institutional and organizational problems such as creation of centralized punishment schemes and secure property. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6204) | We 01:30PM - 04:20PM | Rm 233, W1 | ZHANG, Xu | 40 | 36 | 4 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| EXCLUSION | CNCC 5600 |
| CO-LIST WITH | CNCC 5600 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| L01 (6206) | We 09:00AM - 11:50AM | TBA | LU, Yangsiyu | 10 | 5 | 5 | 0 | The classroom is W1521H. |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This course provides an overview of sustainable business model innovation theories and practices as well as discusses how business models can serve as essential tools to transform our economy into a sustainable one. We will provide students with a rich opportunity to examine companies’ efforts in creating and implementing sustainable business models and building a supporting ecosystem. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6207) | Th 09:00AM - 11:50AM | Rm 201, W4 | HE, Jinyu | 20 | 20 | 0 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| EXCLUSION | CNCC 5700 |
| CO-LIST WITH | CNCC 5700 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| L01 (6228) | We 01:30PM - 04:20PM | TBA | JIANG, Kejun | 8 | 6 | 2 | 0 | The classroom is W1101. |
| VECTOR | [3-0-0:3] |
|---|---|
| EXCLUSION | CNCC 5200 |
| CO-LIST WITH | CNCC 5200 |
| DESCRIPTION | This course prepares students to acquire the basic knowledge of climate change, which sits on the intersection of science and governance. It will review some of the scientific facts of climate change and contrast the scientific research findings with climate governance status. Case study on transforming to a low carbon society will be conducted in later part of the course. Aspects to consider include both scientific support and governance complexity of the low carbon city idea. Students are expected to build their own analysis of the climate change issue at the end of the course. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6229) | Mo 06:00PM - 08:50PM | TBA | PARK, SEONA WOON, KOK SIN | 15 | 13 | 2 | 0 | The classroom is E4101. |
| VECTOR | [1-3 credit(s)] |
|---|---|
| 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 |
|---|---|---|---|---|---|---|---|---|
| R01 (6690) | TBA | TBA | TBA | 20 | 3 | 17 | 0 |
| VECTOR | [1 credit] |
|---|---|
| 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 |
|---|---|---|---|---|---|---|---|---|
| R01 (6702) | TBA | No room required | TBA | 10 | 1 | 9 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | Life cycle assessment (LCA) has emerged as a powerful methodology widely adopted in research, industry, and national policy to assess the environmental impacts of products and processes. However, specialized knowledge and skills are required to understand and effectively implement LCA; hence, this course seeks to provide that. This course will delve into the fundamental concepts of LCA and highlight the challenges of implementing LCA, including goal and scope definition, data availability and quality, methodological complexity, and results interpretation and uncertainty analysis. A special topic that includes integrating artificial intelligence (AI) and other systems analytical tools to complement the LCA limitations will be discussed. The students will also learn about the application of LCA in various industries, including energy, solid waste, and green buildings. Practical case studies will be discussed to provide the students with knowledge and skills to apply to LCA in various industries. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6233) | Tu 09:00AM - 11:50AM | Rm 101, W2 | WOON, KOK SIN | 20 | 17 | 3 | 0 |
| VECTOR | [3-0-0:3] |
|---|---|
| DESCRIPTION | This course provides a comprehensive overview of methodologies for quantifying greenhouse gas emissions, focusing on both 'top-down' and 'bottom-up' approaches. In the first part of course, an introduction of important greenhouse gases (CO2, methane, N2O) will be given, including the sources, sinks, mechanism, and policy relevance. In the second part of course, students will explore various data collection techniques, including satellite observations, aerial measurements, and ground-based tower data. We will delve into the use of forward and inverse modeling to analyze and interpret emissions data effectively. Students will gain the skills necessary to assess and report greenhouse gas emissions accurately, equipping them to contribute to climate change mitigation efforts. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6235) | Mo 01:30PM - 04:20PM | Rm 101, W2 | CHEN, Zichong | 20 | 12 | 8 | 0 |
| VECTOR | [1 credit] |
|---|---|
| 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 the environmental innovation communities and policy communities. This course will be an essential part of training for our RPg students. Graded P or F. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6230) | We 10:30AM - 11:50AM | Rm 201, W2 | LI, Chenyang | 40 | 29 | 11 | 0 |
| VECTOR | [6 credits] |
|---|---|
| DESCRIPTION | This course consists of 6 credits and will last for two regular terms. In the first term, students learn and integrate the latest technology topics through seminars,lectures, and workshops. After completing four micro-policy analysis reports, students can familiarize themselves with technology policy hot spots and policy analysis tools, as well as the cooperation skills and role division among the groups. In the second term, they will complete group projects on selected topics for science and technology policy under the supervision offaculty members. The participation of the university’s internal community and external organizations in these projects will be highly encouraged. The university will be responsible for the control, management and evaluation of the project. Students will exercise their teamwork skills, analyze science and technology policy issues and develop concise reports of their findings and recommendations. They should write the paper acting as an assistant to a particular decision-maker in a government, nonprofit organization, business or private sector. This course is for MSc(TP) students only. May be graded PP. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6231) | We 09:00AM - 11:50AM | Rm 102, W4 | HOU, Yun XU, Kewei | 40 | 40 | 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. |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| R01 (6050) | TBA | No room required | TBA | 999 | 13 | 986 | 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. |
|---|
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| R01 (6051) | TBA | No room required | TBA | 999 | 18 | 981 | 0 |