Such cross-border mediations involve:
• international and intercultural competencies;
• online and face-to-face mediation protocols; and
• knowledge of private international law in relation to the substantive and procedural aspects of mediation.
The course will address these and other topical issues, including enforceability of international mediated settlement agreements, to provide participants with a current overview of international legal practice and trends in this field. Participants will have the opportunity to develop specialised mediation skills relevant to cross-border settings.
This course aims to provide students with the following learning opportunities:
- Understanding basic features of major digital technologies;
- Understanding emerging and cross-cutting law and policy issues surrounding the uses
of such technologies and of data in international trade;
- Analysis of cutting-edge law and policy materials and issues on such uses;
- Promotion of self-learning, group learning and further learning after the course; and
- Exercising creativity in designing useful recommendations.
Upon completion of the course, students will be able to:
- Apply the key object-oriented programming and design techniques of abstraction, encapsulation, inheritance and polymorphism to a given scenario.
-Sketch UML class diagrams and sequence diagrams.
-Create and debug programs using the Java programming language.
- Apply good programming practices and design concepts to develop software.
- Integrate object-oriented thinking into application of problem-solving skills.
- Appreciate the role of algorithms and data structures in problem solving.
This course aims to provide students with a broad coverage and examples of enterprise analytics techniques with special focus on supervised machine learning techniques and applications. Upon completion of the course, students will be able to:
- Work with data from exploration to pattern discover to deployment
- Prepare the data and create new powerful features
- Build powerful machine learning models efficiently
- Assess each supervised model using the appropriate criterion
- Apply robust supervised algorithms such as decision trees, gradient boosting models, forests, neural networks and support vector machines.
- Develop expertise in using SAS machine learning tool called Model Studio in SAS Viya
- Build Machine Learning pipelines in SAS Model Studio
- Deploy and manage machine learning models in production
Students will be trained in the tools and techniques of fieldwork, participatory research, and qualitative data analysis. Our approach will be an iterative one in which we will regularly refine our codes and analytical themes based on the emergent patterns in the field notes. We will use a software platform (www.dedoose.com) that will enable us to approach the analytical challenge together as a team. The tasks of analysing field notes and then coding them in preparation for writing analytic memos will take up the major portion of our in-class time. This research training will be excellent preparation for anyone taking on an independent study or thesis which involves primary research. Participants in the task force will be required to undertake regular visits to for interviews and field visits around Singapore. However, research methodologies will have to be adapted to suit the circumstances of the pandemic, and this may include an online qualitative research process.
Students enrolled in ACM005 will design and develop a scholarly research project that critically analyses an issue within the field of arts management, as approved by the course coordinator. The research should ideally incorporate primary research and theoretical inquiry, so as to enable each student to develop a specialised understanding and knowledge of a particular area of arts management.
On successful completion of this project, students should be able to:
‣ Demonstrate an advanced understanding and knowledge of a specialised area in arts management, as well as be able to contextualise that area within current research, debates, policies and practices in the arts and associated cultural and creative industries
‣ Assemble and author a unique and independent research project from inception to development to completion
‣ Construct an argument relating to a specific area in arts management
‣ Apply multidisciplinary and inter-disciplinary arts management theories and evidence-based research
This course is designed to explore knowledge in various disciplines.
The goals for this class are threefold:
1. Absorb knowledge from social issues presented by invited speakers
2. Foster confidence in disseminating information and interacting with speakers during the
knowledge communication process
3. Use the knowledge you acquire in this class to identify critical societal issues and offer
solutions using a multi-disciplinary approach
CLO1: Analyze issues related to family and the society using economic models
CLO2: Interact with partners and classmates on real-world issues and policies
CLO3: Practical experience in collecting and/or analyzing data, quantitative and/or qualitative, primary
and/or secondary
CLO4: Identify research gaps, formulate hypothesis, design questionnaire and in-depth interviews
CLO5: Communicate ideas and present findings and conclusions effectively
CLO6: Be resilient, creative, and overcome challenges in teamwork and demands from partners
This course contributes to the development of the following learning goals:
- LO1.1 Our students can recognize, develop, measure, record, validate and communicate
financial and other related information.
- LO1.2 Our students can analyze, synthesize and evaluate financial and other related
information for decision making in a management context.
- LO1.3 Our students understand and can apply concepts relating to business processes, audit
and assurance.
- LO2.1 Our students understand and can apply business concepts and principles.
- LO2.2 Our students can communicate effectively in a business context.
This course aims to help students:
- Understand the key theories and strategies in Monetary Policy and Financial Markets Manage- ment, especially from the Central Bank's point of view.
- Solve real-world problems to a project partner (related to Monetary Policy or Financial Markets) and learn how to work in a project group.
- Gain insight into financial markets as well as the business environment and culture in Vietnam through mini cultural activities and Vietnam theme presentations.
- Develop potential networking, and other life skills through the study mission (if travel allowed) and by interacting with business leaders in Vietnam (through guest speaker sessions).
