Modules for SUSEP (Jan 2027 intake)

Software design is concerned with issues, techniques, strategies, representations, and patterns used to determine how to implement a component or a system. The design will conform to functional requirements as well as non-functional requirements such as resource, performance, reliability and security. This module focuses on techniques for software design in the context of large and complex software systems. 

Topics include software architecture, design principles (information hiding, cohesion and coupling), design notations, evaluation methods and their associated software tools. 

The course introduces more advanced design notations and concepts. Several design methods are presented and compared, with accompanying examples and case studies. An emphasis will be on placed on the application of design principles and evaluation of their trade-offs to the creation of successful software.

1. INF1009 - Object Oriented Programming 
   and
2. INF2001 Introduction to Software Engineering

This module focuses on the early phases of the software lifecycle, namely Requirement Engineering (RE): specification, modelling and analysis of software systems. 

It covers fundamental concepts and techniques involved in requirements elicitation, specification and analysis of software system requirements. Principles of RE and the RE lifecycle are covered in depth. RE software modelling and documentation techniques are introduced with semi-formal and formal methods analysed, discussed, and practiced in detail. Also, covering both Classical, Object Oriented and more Agile approaches to specification analysis. RE is applied throughout the module on an industry software system-to-be via a Group Project, with students working in teams to meet every step of the RE process, e.g. developing strong interview requirements elicitation practices and RE documentation skills. Fundamental software engineering economics, via software cost estimation, are also introduced. 

Mobile devices such as smartphones and tablets have become the most common methods of access to computing and information services. This course will cover the fundamental programming principles, software architecture, user-interface considerations and resource constraints for a mobile environment. 

The course aims to enhance understanding of the multi-faceted nature of mobile programming and amalgamates knowledge from foundational courses pertaining to computer networks, databases, operating systems and object-oriented programming. Students are assessed in lab exercises and quizzes. They will also complete a project to design and implement a mobile application.

The Cloud Computing and Big Data module provides students with a comprehensive understanding of the fundamental principles, technologies, and applications of cloud computing and big data. It explores the convergence of these two rapidly evolving fields and their critical role in enabling scalable, efficient, and data-driven solutions in various domains. 

The module delves into the key concepts, architectures, tools, and techniques necessary for harnessing the power of cloud computing and effectively managing and analyzing large-scale data sets. Individual practical lab exercises and group assignments will be used to enhance the understanding of the students. During this module, students will develop programs utilizing cloud services provided by Amazon Web Services to further expand their practical skills.

1. INF1005 Web Systems & Technologies
2. INF1008 Data Structures and Algorithms
3. INF1009 Object-Oriented Programming

Mobile devices such as smartphones and tablets have become the most common methods of access to computing and information services in the enterprise and end user environments. The proliferation of such mobile devices has uncovered another set of security challenges. 

This course will cover the operating systems and architecture of common mobile platforms such as Android and iOS, how to find and exploit vulnerabilities in mobile applications, how to devise countermeasures such as creating securely coded mobile applications, and the aspects of mobile application analysis, malware attacks and authentication systems. 

The course aims to enhance understanding of the multi-faceted nature of mobile security and amalgamates knowledge from foundational courses pertaining to computer architecture, networking, operating systems and programming. The module consists of lectures and practical sessions, and students are assessed in lab exercises, quizzes and assignments.

This module will introduce the student to the area on edge computing and analytics. With the growth of IoT and performance of end-devices (edge), more and more computation and analytics are performed to speed up the decision-making process. However, several constraints limiting these edge processors (e.g. power, memory, communication, software libraries) requires the development of edge solution to be more efficient and robust. 

In this module, the students will be expected to work on developing high performance algorithms running on edge devices to perform high speed data processing and fusion, as well as distributed AI algorithms for non centralised decision making.

This course is developed in accordance with the Singapore Workforce Skills Qualifications (WSQ) requirements and covers following performance statements which are: 

1. Establish the workflow for a Risk Management (RM) Plan for the organization in compliance with WSH applicable legal and other requirements
2. Form the Risk Management (RM) and Risk Assessment (RA) team
3. Analyze organization’s routine and non –routine processes and activities to establish the scope of risk assessment
4. Identify types of hazards using relevant information
5. Evaluate the impact of the hazards to safety and health of personnel, and prioritize the risk
6. Identify WSH hazards and assess the risks of key types of business operations and working environment in the service industry in accordance to organisational procedures and legal requirements
7. Develop the control measures to address the WSH hazards and risks
8. Formulate implementation plan in accordance to the organizational Risk Management Plan
9. Communicate WSH hazards and risks, proposed control measures and implementation plan to relevant stakeholders
10. Monitor implementation of the control measures in daily activities
11. Report to management on the status of the implementation plan

This module introduces the fundamental importance of a facility to an organization (as the owner, operator or tenant acting as a client). Approaches to facility management (FM) can differ between organizations even within the same sector. Facility management is needed to support and enhance an organization's core business activities. It encompasses
 

The students will learn the key concept and approach in developing facility management plan based on integration of different building systems, considering the operation, maintenance and improvement works; life cycle costing and statutory regulations/standards in building operation. In developing the FM plan, there will be emphasize on innovation of FM industry to improve productivity.

Buildings, including industrial and commercial buildings, consume 45% of total electricity generation from the main grid or other local generations, leading to global warming and a significant high CO2 emission to the environment. Almost 50% of building energy consumption is attributed to air conditioning systems. In tropical regions like Singapore, space cooling is essential for industrial or commercial buildings throughout the year to improve productivity, comfort level and indoor air quality. As chiller plants are an essential part of the buildings and consume a significant amount of energy, this module focuses on the fundamental of chiller plants and their associated components such as blowers, fans, piping networks and ducting networks. The operation of a chiller plant is also paramount to optimising the energy consumption in the buildings. Thus the selection of a chiller plays a considerable role in such energy-efficient operation of the plant. In addition, water systems and air systems also contribute to the chiller plant’s energy efficiency. This module focuses on the chiller plants and includes the following sub-topics: 

1. Fundamental of Chiller plants and their associated components.
2. Selection of chillers
3. Waterside circulation system
4. Fundamentals of Cooling towers and their operation
5. Chiller selection and chiller plant design consideration.
6. Minimizing the energy consumption of the chiller plant.

Student will understand the principal of designing energy efficient building through passive and active green building design. Student will acquire detail knowledge on the use of building energy simulation to underpin low and efficient building energy consumption. Student will have hands-on experience with performing building and system performance simulations through BIM. 

This module is for SIE students in their second year of studies. Student progress shall be assessed through lab simulation work, a final design project, presentations, final report and final examination. The topics covered include the following: 

• Sustainable cities and buildings; • Building performance assessment;
• Envelope Thermal Transfer Value (ETTV) of building façade;
• Building passive design strategies to achieve energy efficiency;
• Green building labelling;
• Building energy simulation

This module provides students with a comprehensive understanding of deep learning methodologies and their practical applications. Through a combination of theoretical lectures, tutorial, hands-on coding assignments and teamwork project, students will explore fundamental concepts in deep learning, shallow neural network, deep neural network and convolutional neural networks. To facilitate practical application without the need for extensive coding expertise, students will also gain exposure to an AI platform designed for low-code programming. 

Additionally, the module integrates a Technopreneurship component aimed at nurturing students’ critical thinking skills to develop innovative technical solutions. With this knowledge learn, students will be put into group assignments to propose and develop an innovative AI solution, focusing on building predictive models using Neural Networks or image recognition technique using Computer Vision technology, to address a real-world problem.

This module aims to provide an overview of airline network, fleet planning and effective flight schedule. The students will learn the techniques of traffic forecasting in different city-pair markets in both O&D and transit markets. This module will also compare and evaluate the effectiveness of hub-and-spoke and point-to-point network. 

The students will learn the steps in the fleet planning process; the economics of fleet planning; the relationship between aircraft performance and fleet planning; and steps in planning flight schedule. Numerical simulations using relevant software (including A.I.) will be incorporated into appropriate parts of the course to facilitate the understanding of real-world applications.

This module provides an overview of both the business aspects and operations of air cargo. 

The module is designed for students who are equipped with some knowledge of commercial aviation by identifying various industry stakeholders and the most consequential actors. 

Select topics include, operational aspects in handling and processing of various types of air cargo; developments in safety and security; use of digital and automation to drive efficiencies and growth in the industry.

This module aims to train students in applying design innovation and user-based innovation. Students will apply the principles and mindset of being humanity-centred to understand the key challenges of a certain real-world problem. Undergirded by a Critical Design Futures Thinking (CDF™) conceptual model, students collaboratively explore real-world issues and propose creative solutions. Students will also learn to apply critical thinking, design thinking, and futures thinking tools in conceptualising and prototyping their design innovation projects which should be stakeholder-based. Throughout the module, students will put aside assumptions and objectively investigate through observation, interviews, and other experimentation methods. 

The module is part of the interdisciplinary approach that brings students from different disciplines together. Through a project-based learning approach, students will be able to resolve and synthesise product- or service-based solutions for curated problems. 

The module will also incorporate Design Your Life (DYL) principles. By applying Design Thinking principles to the lives of the individual students, they could begin to prototype their career paths through “Odysseys”, which are life scenarios where students create prototypes and tests in real-life.

This module focuses on all of the aspects of big data and business intelligence needed in the hospitality industry. It is based on the module Revenue Management. Specifically, it addresses how technology is used in the areas of revenue management, distribution and marketing practice with focus on the customer lifetime value (clv) and tools of customer loyalty and retention practice such as CRM. 

The student will learn how to manage and use data and business intelligence.

This module introduces future healthcare professionals to the fundamentals of patient/client education. Learners will learn the importance of empowering patients through education to increase patients’ ability and encourage positive behavioural, health-related changes. Another focus of this module is to nurture the confidence and skills that will motivate healthcare professionals to undertake teaching in their work environment. Thus, the emphasis of the module is on the healthcare professional as facilitator of learning. Embedded throughout are themes of thinking like a teacher, the learner as active participant and learning as change. Learners are prompted to explore some of the micro skills of teaching and in doing so also come to recognize what is "personally distinctive" about their teaching style.

This module is offered as an elective to learners in the health sciences programs to improve skills to facilitate learning with their patients/clients.