The course will allow students to develop skills to present and analyze topical issues, prepare reports with their research findings and exercise creativity in generating useful recommendations (in the form of law, policy and/or technology solutions) to deal with real problems.
Upon finishing the course, a student will be able to:
- Familiarize students with software design and systems thinking skills and instil an appreciation for the value of software architecture.
- Design the architecture for an end-to-end IT Solution.
- Understand and implement architectural styles and design patterns for software systems.
- Use standard practices in documenting system architectures using views and perspectives.
- Impact analysis to understand the implications of design choices.
Objectives:
- Understand concepts related to Cyber-Physical Systems and their essential elements
- Appreciate the unique challenges and complexities faced in computing for the natural world
- Apply the necessary skills to design and develop a Cyber-Physical System
- Create a Cyber-Physical Systems prototype to conquer a real-world societal challenge
- Think deeply and broadly about the various ways in which Cyber-Physical Systems can make immense impact in society, especially to those in need
Upon successful completion of this course, you will be able to:
- Gain a better understanding of IT management principles and best practices, which include IT Strategy that deliver business value, IT Governance, IT enabled Innovations, IT Capability management. etc.
- Apply the knowledge gained to propose an IT Strategy that enables organizations to better exploit relevant new technologies and Information management to deliver business value.
- Understand the challenges relating to leading Change in a business setting and how to be an effective business change agent.
This course aims to provide students with a broad coverage and examples of social analytics techniques and trends underlying the current and future development. Upon completion of the course, students will be able to:
- Extract social media data via social APIs and custom scripts.
- Extract social networks from non-network data such as transactional/operation data as well as textual conversations.
- Computationally identify and quantify social influencers.
- Computationally extract and identify trending topics.
- Visualize social networks and text analysis results.
- Deploy custom scripts in Amazon Web Services.
Upon completion of the course, students will be able to:
- Practice problem solving skills.
- Read UML sequence and class diagrams.
- Apply basic concepts of Object Orientation to a given scenario/context.
- Apply good programming practices and design concepts to develop software.
- Appreciate the role of algorithms and in problem solving.
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.
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
The objective of this course is to gain understanding of basic concepts of economics of health and health care. By the end of the course, students will be equipped to evaluate current health care policy issues from an economic perspective.
By the end of this course, students will have mastered descriptive and summary statistics, probability axioms, discrete univariate probability distributions, continuous univariate distributions, regression, means, variance, covariance, sampling distributions, central limit theorems, point v. interval estimations, one-, two-, multiple-sample hypothesis tests;
