In this module, students gain an in-depth understanding of the fundamentals of designing and prototyping Graphical User Interfaces (GUI). Students will explore methods like design thinking and inclusive design for creating user-centric interfaces. The module covers the essentials of UI prototyping, common mistakes to avoid, and introduces various prototyping types. Students will also learn about key GUI components and elements, understanding input, output, navigational, and informational elements. The final lesson introduces Figma, where students will set up a project to create a GUI, including usability testing techniques.

This module introduces fundamental concepts of text and speech interfaces as core components of modern multimodal systems. Students will learn basic principles of text-based interfaces, speech recognition, and text-to-speech (TTS) systems, with an introduction to simple chatbot concepts. Through practical demonstrations and hands-on examples, students will develop a foundational understanding of how these interfaces work and interact.

This module introduces students to the fundamentals of creating graphical user interfaces and integrating multiple input modalities using JavaFX. Students will learn to design and implement interactive visual elements, handle user inputs through different channels, and create synchronised feedback systems. The module emphasizes the practical implementation of multimodal interfaces, covering everything from basic shape creation to advanced animation techniques and state management. Through hands-on examples and demonstrations, students will understand how to create responsive, user-friendly interfaces that effectively combine visual, textual, and interactive elements.

This module provides a comprehensive exploration of authentication and privacy mechanisms in multimodal interface design. Students will learn about various authentication methods including knowledge-based, possession-based, and biometric authentication in multimodal systems. The module covers fundamental concepts of secure multimodal authentication, CAPTCHA systems, smart card interfaces, and the integration of multiple authentication factors. Students will understand how to design secure, user-friendly authentication flows while maintaining privacy and security across different interaction modes. The module emphasises practical applications of authentication mechanisms, error prevention strategies, and the importance of user experience in secure multimodal systems.

This module explores biometric authentication systems with a focus on fingerprint and voice recognition. Learners will examine the working principles, security mechanisms, and user experience considerations for biometric interfaces. Through practical discussions, system design principles, and implementation insights, the module emphasises secure storage, privacy compliance, and usability challenges in multimodal authentication systems.

This module explores the design and implementation of intelligent conversational interfaces using JavaFX and Java core libraries. Learners will develop smart assistant systems capable of natural dialogue, personalised responses, and contextual awareness. The module builds on previous concepts of text processing, multimodal integration, and interface design, culminating in a functional prototype demonstrating effective human-computer interaction. Additionally, students will explore assistant personality design and emotional intelligence, ensuring engaging and human-like interactions. Through hands-on exercises, students will refine their conversational models to handle turn-taking, context memory, and multimodal interactions seamlessly.

This module explores the evolution, design, and implementation of leading smart assistants—Google Assistant, Siri, Alexa, and Cortana. Students will examine how these commercial systems leverage multimodal interface principles, voice interaction strategies, and cross-device ecosystems to enhance user experiences. Through case studies, students will evaluate the core technological components, privacy challenges, and ethical considerations in smart assistant design. Additionally, the module encourages learners to critically assess the strengths and limitations of these systems, identify emerging trends, and propose innovative enhancements for future multimodal assistants.

This module provides a comprehensive exploration of the rapidly evolving field of chatbot design and development. This module begins by introducing the fundamentals of chatbots, including their definition, historical evolution, core components, and differentiation between rule-based and AI-powered systems. Students will explore the wide-ranging applications of chatbots across industries, highlighting their impact and versatility. The module emphasises the principles of conversational design, focusing on creating intuitive, user-centric interactions that prioritise clarity, brevity, and context awareness. Students will learn to recognise user intent, sustain meaningful conversations through context, and address the challenges of designing natural, intuitive dialogues. Advanced topics include crafting dynamic conversational flows, defining chatbot personalities, managing multi-turn dialogues, and designing effective fallback mechanisms. Additionally, the module explores the integration of multi-modality in chatbot design, teaching students to incorporate text, voice, and visual elements seamlessly across platforms such as mobile, web, and voice assistants. By the end of the module, learners will not only gain technical skills but also understand the ethical implications of chatbot design, including transparency, bias, and privacy. This module encompasses the design and user-centric aspects of chatbot development, addressing their functionality, conversational design principles, and multi-modal capabilities. It reflects the progression from foundational knowledge (definitions and types) to advanced applications (multi-modality and personalisation).

This module explores the dynamic field of chatbot development, guiding learners through the journey from foundational concepts to practical implementation. Participants will gain insights into chatbot technologies, design principles, and best practices while developing hands-on expertise in creating intelligent conversational agents. This module is ideal for developers, designers, and technology enthusiasts interested in learning the foundations and advanced practices of chatbot development. No prior experience in chatbot creation is required, making it accessible to beginners while still offering depth for intermediate learners. The module culminates in the creation of a fully functional TravelBot, providing learners with real-world experience in designing and deploying intelligent chatbots.