The goals of this course are the following:
• Develop a customer centric business solution by understanding the available customer data and how to apply advanced analytics techniques including segmentation, prediction and scoring for increasing profitability of the firms.
• The course focuses on applications of analytics in various industries and one of the main objectives is to build understanding about the use cases in multiple industries where analytics can make an impact
• Gain deep and through understanding of the SAS data mining tool for implementing the devised solution
• Being able to communicate and present complex analytical solutions in an intuitively and articulately
The goals of this course are the following:
• Develop a customer centric business solution by understanding the available customer data and how to apply advanced analytics techniques including segmentation, prediction and scoring for increasing profitability of the firms.
• The course focuses on applications of analytics in various industries and one of the main objectives is to build understanding about the use cases in multiple industries where analytics can make an impact
• Gain deep and through understanding of the SAS data mining tool for implementing the devised solution
• Being able to communicate and present complex analytical solutions in an intuitively and articulately
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.
Upon completion of the course, students will:
- Individually, or in pairs, be able to put together key components of IoT towards building a prototype solution to solve a specific problem A. These hands-on exercises will also help the students in building the IoT prototype for their team project, and train them to be effective IoT solutions architects.
- As a team, given a case scenario B, be able to apply concepts learnt in class to clearly specify the problem statement, describe the IoT solution, and present the actionable wisdom to various key stakeholders. Through short quizzes, this will help the students prepare for the in-class written assignment, and will train them to be effective IoT solutions consultants.
Upon completion of the course, students will be able to:
- Specify software requirements.
- Practice agile design and development methodologies.
- Apply best practices in Java web app development and deployment.
- Apply unit testing and code refactoring.
- Practice secure and defensive programming.
- Appreciate the importance of collaboration in software development.
Upon completion of the course, students will be able to: Understand the basic concepts and theories of GIScience and geospatial analytics, Create and manage spatially-enabled real world data, Use appropriate geovisualisation and mapping techniques to analyse and visualise geographical data, Understand the basic concepts and methods of geocomputation and geospatial analytics, Use appropriate geospatial analysis methods in detecting, analysing and modelling geospatial patterns and relationships, and Design and implement spatially enabled geospatial analytics applications.
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, students will:
- Showcase expertise in executing a project.
- Experience developing some technology deliverables.
- Experience working in a team environment with a sponsored project.
- Learn about an industry or technology not otherwise covered in the curriculum.
- Work on a complex and real project and deliver a solution that will be used by the sponsor.
- Document findings in a report to demonstrate value to sponsor.
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.