Upon completion of the course, students will be able to:
- Apply technological skills to interdisciplinary problem-solving in smart city context with a focus on society in an interweaving way across social science and information systems. E.g., from framing a social problem to developing a solution addressing the needs of the citizen.
- Address an identified economic, policy or social aspect of a smart city problem by systematically identifying relevant stakeholders, think through their lenses and listening to their voices through text analysis.
- Design data collection tools using both survey and non-survey methods to listen to preferences of the people such as their needs and revealed preferences (through social media and surveys).
- Provide evidence-based reasoning to problem statements by applying analytics skills learnt from this course (e.g., text analytics, machine learning classification methods, process analytics) or pre-requisite courses (e.g., Analytics Foundation) to conceive solutions based on needs of people.
- Applying root cause analysis, six thinking hats methodology and Blue Ocean Strategy to solution generation.
- Consider the impact on public policies and social best practices in the context of the sponsor's problem and make recommendations made for the given city (e.g., Singapore).
- Manage a project involving real-world project stakeholders.
Upon completion of the course, student will be able to:
- Showcase expertise in executing a project using knowledge acquired from the courses taken from the IS curriculum.
- Experience developing of some technology deliverable for an IT system or proof of concept.
- Experience working in a team environment with a sponsored project (internal, external or self-proposed) using project management skills experience throughout the courses taken in IS.
- Learn about an industry or technology that is related to his selected track not otherwise available in the course curriculum.
- Work on complex and real project used by the project sponsor.
Upon completion of the course, students will be able to:
- Apply technological skills to interdisciplinary problem-solving in smart city context with a focus on society in an interweaving way across social science and information systems. E.g., from framing a social problem to developing a solution addressing the needs of the citizen.
- Address an identified economic, policy or social aspect of a smart city problem by systematically identifying relevant stakeholders, think through their lenses and listening to their voices through text analysis.
- Design data collection tools using both survey and non-survey methods to listen to preferences of the people such as their needs and revealed preferences (through social media and surveys).
- Provide evidence-based reasoning to problem statements by applying analytics skills learnt from this course (e.g., text analytics, machine learning classification methods, process analytics) or pre-requisite courses (e.g., Analytics Foundation) to conceive solutions based on needs of people.
- Applying root cause analysis, six thinking hats methodology and Blue Ocean Strategy to solution generation.
- Consider the impact on public policies and social best practices in the context of the sponsor's problem and make recommendations made for the given city (e.g., Singapore).
- Manage a project involving real-world project stakeholders.
Upon completion of the course, student will be able to:
- Showcase expertise in executing a project using knowledge acquired from the courses taken from the IS curriculum.
- Experience developing of some technology deliverable for an IT system or proof of concept.
- Experience working in a team environment with a sponsored project (internal, external or self-proposed) using project management skills experience throughout the courses taken in IS.
- Learn about an industry or technology that is related to his selected track not otherwise available in the course curriculum.
- Work on complex and real project used by the project sponsor.
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.
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 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.
Upon completion of the course, students will be able to:
- Experience real-world problem-solving through student consultancy project
- Apply classroom learning and research to real-world challenges in order to envision innovative IT solutions using the cloud platform
- Build innovative solutions using a cloud platform (i.e. SAP Business Technology Platform)
- Use some of the services within a cloud platform (e.g. Internet of Things, Machine Learning, Analytics Cloud, Kyma, etc). Acquire learning to learn skills
- Learn how to work with industry professionals and deliver an IT solution
- Learn how to handle uncertainty in a project
Upon completion of the course, students will be able to gain:
- Practical industry experience working directly with Citibank.
- Project management experience on a real-world industry project.
- Software development experience on a real-world industry project.
