Undergraduate Courses 2023-24

A compulsory course for students enrolling in the extended major programs throughout their course of study. It is a seminar series presented by faculty members and guest speakers on interdisciplinary topics in extended major area and its applications related to the major. For students with extended major in their second year of study only. Graded P or F.

This course focuses on user-collaborative design methods for generating inclusive product solutions that integrate stakeholder and product functionality perspectives. Students will create specified product/ process /policy /protocol /plan (5P) concept models using recursive user feedback engagement methods, experimental prototyping, and divergent and convergent ideation strategies. Featured topics include design thinking; stakeholder research; concept development, screening, and selection; and interaction design. For students enrolling in extended major programs and students with consent from the instructor.

This course covers a broad range of digital media topics and techniques that equip students with the relevant knowledge and skills to bridge to other courses and opportunities in the Extended Major program in DMCA. This course will focus on both the soft and hard skills of digital media covering the aesthetics, theory and practice of digital photography and cinematography, content creation, visual storytelling, media design, interactive and immersive media, generative arts and their relevant software and hardware operation in areas such as picture and sound editing, digital effects and so on. For students enrolled in the Extended Major Program in DMCA.

Sci-fi Storytelling offers a creative exploration of sci-fi topics such as perception of reality, existentialism in the multiverse, and philosophical and ethical questions on identity, AI, genetic engineering and so on. This course not only discusses these topics, it also offers students opportunities to exercise power of creative imagination and to practice art of storytelling by developing students’ own original sci-fi story. In this analytical, creative, critical thinking and collaborative process, students will team up to develop and present their story analysis and creation. This course offers visions of the future through studying important visionary film masters and related creative sci-fi works in films, TV and animations, which stimulate thought-provoking discussion and forward thinking. Students will combine sci-fi knowledge, art and technique of visual storytelling, analytical, creative and critical thinking to screen-related research, analysis, sci-fi story creation through world, character and tension building. For students enrolling in extended major program in DMCA and students with consent from the instructor.

This special topic course will help students to gain a more in-depth knowledge and to have a better understanding on the topics related to their interdisciplinary studies or emerging interdisciplinary areas. A range of professional activities are eligible for study, including seminars/ lectures, professional activities/ meetings, journal readings or structured readings. May be repeated for credits if different topics are taken. May be graded by letter, P/F or DI/PA/F for different offerings.

This special topic course will help students to gain a more in-depth knowledge and to have a better understanding on the topics related to their interdisciplinary studies or emerging interdisciplinary areas. A range of professional activities are eligible for study, including seminars/lectures, professional activities/meetings, journal readings or structured readings. May be repeated for credits if different topics are taken. May be graded by letter, P/F or DI/PA/F for different offerings.

This course consists of three parts: 1) the foundation of machine learning including its history and core algorithms; 2) the mainstream open platforms and sources for machine learning with an emphasis on practical applications; 3) case studies to illustrate how machine learning can be used to solve the problems from different fields. This course will equip students from different backgrounds with the essential knowledge about machine learning and practical algorithms, systems, and platforms available for solving real-world problems. For students enrolled in extended major programs only.

This special topic course will help students to gain a more in-depth knowledge and to have a better understanding on the topics related to their interdisciplinary studies or emerging interdisciplinary areas. A range of professional activities are eligible for study, including seminars/lectures, professional activities/meetings, journal readings or structured readings. May be repeated for credits if different topics are taken. May be graded by letter, P/F or DI/PA/F for different offerings.

This course is to be taken simultaneously with a Final Year or Capstone Project offered by a student’s enrolled Major. Students will apply knowledge learnt in the Extended Major and interdisciplinary problem-solving skills to solve real-world problems in their Major areas. Approval from EMIA is required to ensure the Final Year or Capstone Project integrates the knowledge of the extended AI major. If the enrolled Final Year or Capstone Project is in a major which is not the student's enrolled first major, they must also seek approval from their enrolled first major confirming that the project also integrates knowledge of their first major. Graded P or F. May be graded PP.

Students are expected to complete an interdisciplinary Capstone Project with strong components in an emerging area of specialization under the guidance of faculty members. The objective is to train students to apply knowledge learnt in the extended major and interdisciplinary problem-solving skills to solve real-world problems in their Major areas. For extended major students who do not take Final Year or Capstone Projects offered by any majors only. Maybe graded PP.