Postgraduate Courses

This foundational course will be delivered by various faculty members to encompass a broad spectrum of topics related to arts and machine creativity, including Introduction to Art and Technology, Machine Creativity Tools and Techniques, as well as discussions related to Art, Technology, and Society.

This course provides postgraduate students with an in-depth understanding of the research methodologies and techniques utilized in the fields of arts and machine creativity. Students will explore various approaches to generating creative outputs through machines, including artificial intelligence, computational creativity, and algorithmic art, while developing critical thinking and problem-solving skills in the creative domain.

This introductory programming course is designed specifically for students with an art background, focusing on fundamental programming concepts through creative problem-solving. Students will learn to decompose arts related challenges into manageable sub-problems and solve them using programming with the assistance of AI tools like ChatGPT. By blending technical skills with artistic expression, students will develop computational thinking while creating interactive and visually engaging works of art.

In this course, students will delve into the world of generative art by exploring algorithmic techniques for creating visual and interactive artworks. Through a series of hands-on projects, students will learn to implement algorithms that mimic natural processes and generate complex visual patterns. AI tools like ChatGPT will be integrated throughout the course to facilitate brainstorming, code generation, and project refinement, empowering students to harness technology as a medium for creative expression.

This course explores AI (especially machine learning) techniques for creating visual content in images and videos. The objectives of synthesis research range from modelling statistical distributions of visual data to creating realistic, picture-perfect graphics. Additionally, we delve into interactive tools for artistic expression. Throughout the course, we will cover key machine learning algorithms, including classical methods like nearest neighbour, PCA, and Markov Random Fields, as well as deep learning models such as ConvNets, GANs, VAEs, and Diffusion models. Students will gain practical skills to build applications and create new visual effects using their own photos and videos.

This course introduces the basic knowledge of visual computing for visual arts and creativity including analysis, editing, creation covering basic concepts of image processing, computer vision, human-computer interaction and computer graphics. It covers mathematical and engineering foundations, including advanced geometry, multivariate calculus, linear algebra, image and signal processing, and human vision. Students will explore sophisticated algorithms for image warping, morphing, stitching, enhancement, inpainting, color processing, rendering, programmable media, graphical interface. By the end of the course, students will understand how visual computing can enhance artistic expression and creativity.

This course delves into the intersection of artificial intelligence and visual arts, with a focus on AI-driven animation and video generation. Students will explore cutting-edge models such as Transformers, Diffusion, Denoising Diffusion Implicit Models (DiT), and autoregressive systems. Emphasizing hands-on learning, the course guides students in implementing key AI components like LSTMs, attention mechanisms, and diffusion models. By the end of the course, students will gain both theoretical knowledge and practical skills for creating AI-driven media.

This course explores the intersection of generative AI and visual arts, focusing on how interactive artworks can be created using models like Generative Adversarial Networks (GANs), transformers, and diffusion models. Students will gain practical experience building and fine-tuning generative models while integrating them into interactive artistic installations. Through hands-on projects and critical discussions, the course fosters an understanding of how generative AI shapes contemporary art and interactive experiences. Basic concepts in discrete mathematics and Python Programming language are required.

This course equips students with practical skills and advanced techniques essential for visual creativity in the digital age. Through hands-on projects and theoretical insights, students will explore various aspects of visual arts, including digital imaging, graphic design, and multimedia production.

This course explores the intersection of technology with music and sound art, covering both fundamental concepts and advanced applications. Students will gain hands-on experience with digital audio workstations, sound synthesis, recording techniques, and audio effects.

This course explores the transformative impact of AI on filmmaking, guiding students through AI-driven tools for screenwriting, previsualization, production, and post-production. The course covers ethical considerations and practical applications, enabling students to create compelling visual and narrative content with AI. Through hands-on workshops and projects, students will gain the skills to innovate and adapt in the rapidly evolving field of AI-enhanced storytelling.

This course explores the intersection of art education and emerging technologies. It aims to equip students with the knowledge and skills to integrate digital tools into their art practice and pedagogy. Students will learn how technology can be applied to create, curate, and teach art, focusing on both theoretical and practical applications. Topics include digital media, virtual and augmented reality in art, online learning environments, and the impact of technology on artistic expression. Through hands-on projects and collaborative discussions, students will gain insights into how technology can transform both the creation and teaching of art.

This course investigates the convergence of art, web3, blockchain technology, and digital identity management. It provides students with a comprehensive understanding of how these technologies are reshaping the landscape of digital creations, including games, edutainment, AR/VR experiences, films, 3D digital artifacts, music, and more. Students will explore the concepts of metadata and Art ID for effective categorization and ownership tracking of diverse digital works. Through lectures, discussions, case studies, and hands-on workshops, participants will learn to create and manage their digital creations while considering the legal, ethical, and market implications associated with blockchain and Web3 technologies. The course emphasizes the transformative potential of blockchain and Web3 / NFTs in establishing ownership, authenticity, and support for new monetization avenues across various forms of digital art and creative expressions.

This course immerses students from interdisciplinary backgrounds in the dynamic and evolving fields of art and technology project management. It explores specialized management strategies tailored to these domains, emphasizing the contrasts and synergies involved in managing creative and technical projects. The course addresses common perceptions and misconceptions about project management, equipping students with practical tools to navigate these complexities. Through interactive lectures, hands-on practice, and collaborative projects, students will gain a comprehensive understanding of how effective management practices can significantly enhance project outcomes.

The course teaches students key concepts and practices related to traditional and new practices in art administration and art business. They will be informed of the latest development in these two fields with a focus on the impacts from technological advancements including blockchain, immersive technology, and artificial intelligence. Professionals in the fields will be invited to give guest talks on the state-of-the-art practices. Students will acquire practical knowledge in both fields through case studies.

The course provides a comprehensive understanding of the historical context and unique challenges of digital art provenance, focusing on authenticity, ownership, preservation and value in the art world. It covers digital provenance mechanisms such as metadata and blockchain technology, while addressing ethical considerations related to ownership, restitution, and transparency in transactions. Students will learn best practices for archiving and data management, engage with digital preservation standards, and gain hands-on experience with software tools for tracking provenance. Students will explore the evolving landscape of art provenance, the concepts of metadata and Art ID for effective categorization and related digital informatics. Through lectures, discussions, case studies, and hands-on workshops, students will learn to create and manage their digital creations while considering the legal, ethical, and market implications.

This is an innovative course tailored for students keen on mastering the business aspects at the crossroads of art and technology industries. The course delves into strategic planning, market analysis, entrepreneurship, and funding mechanisms specific to the art and technology sectors, utilizing real-world case studies and project-based learning. The course is designed to foster entrepreneurial skills and strategic thinking, preparing participants to launch and manage successful ventures within these dynamic fields.

This is a pioneering course designed to address the complex legal frameworks influencing the intersection of art and technology. It explores crucial topics such as intellectual property, copyright laws, privacy, and ethical implications of AI in art, using a hybrid delivery model to cater to a diverse student body. Ideal for graduates and professionals in Art Management, Digital Media, and Intellectual Property Law, this course equips students to navigate and influence the evolving legal landscapes in creative and technological industries.

The course informs students of the various types and models of cultural space developed from the post-war period to the present. Students will learn the definition, the architectural types and the new strategies in the formation of cultural spaces, as well as the theories and representative examples of such spaces. Professionals of cultural management will be invited to give guest talks on relevant topics. Students will be required to do field trips to study cultural space first-hand and report on their visits. They will also have the chance to develop a hypothetical cultural space project.

Taking a survey approach and employing a semi-seminar format, this course examines a range of theories on appreciating and critiquing art and art-making, from Plato to contemporary post-humanist thinkers. The course aims to trace intellectual connections between historical understandings of humanity and science, and today's technological conditions. Students will be guided to think critically and to develop the capacity to apply these theories to future projects related to machine creativity in the age of AI in the 21st century.

This course explores the evolution of motion picture technology from its inception to the present day, highlighting key innovations and scientific principles that have shaped the industry. The course delves into the historical milestones in cinematography, visual effects, sound, and editing, while also examining the latest advancements in AI, machine learning, and virtual production. Students will gain an understanding of both the technical and creative aspects of motion picture science, preparing them for future innovations in the field.

Seminar topics presented by students, faculty and guest speakers. MPhil students must register and pass this course for one term before they graduate. PhD students must register and pass this course for two terms before they graduate. Graded PP, P or F. For students in the Division of Arts and Machine Creativity only.

This course provides students with professional practice and research opportunities through a (research) project related to arts and machine creativity. The project idea is originated from the students, faculty members, or outside parties.

This course provides students with professional practice and research opportunities through an internship related to arts and machine creativity at a research institution, a company, a public agency, or other organizations. Graded P or F.

This course covers selected topics of current interest in arts and machine creativity which are not covered in the present curriculum. May be repeated for credit if different topics are covered. May be graded by letter, P/F for different offerings.

Independent studies or projects under the direct guidance of a faculty member. Course requirements include readings on the relevant topic and a research or survey project specifically defined for the research topic. Credits assigned depend on the workload and may be repeated if different topics are taken. May be graded by letter, P/F or PP for different offerings.

An independent project on selected topics related to arts and machine creativity under the supervision of a faculty member. The course may be repeated once for credits. Enrollment requires approval of instructor. May be graded by letter, P/F or PP for different offerings.

Master’s thesis research supervised by a faculty member. A successful defense of the thesis leads to the grade Pass. No course credit is assigned.

Original and independent doctoral thesis research. A successful defense of the thesis leads to the grade Pass. No course credit is assigned.