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.
Upon completion of the course, students will have gained knowledge on:
- A step by step approach towards building a technology start up.
- Working with Business Mentors to help refine proposals for creating new businesses (Teams with interesting business innovation ideas may be assigned a business mentor from IIE).
- Presenting their ideas to investors and business leaders.
- Applying for funds to develop new products.
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:
- Gain broad awareness of care landscape and ecosystem in Singapore.
- Understand the importance of, and factors leading to smart healthcare.
- Conceptualise and design an end-to-end technological solution to solve a relevant healthcare problem.
- Gain good understanding of constraints and limitations of operationalising smart healthcare.
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.
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:
- 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 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:
- 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.
