Undergraduate Courses 2021-22

This course will increase students’ awareness of their well-being and help them build habits for personal and interpersonal development. It also aims to foster their identity and confidence as students at HKUST. Lectures will provide the facts and the scientific bases of well-being. Experiential workshops will provide opportunities to assess and practise wellness skills (physical, emotional and social). Students will bring knowledge and skills together through journaling, reflecting on how they can integrate knowledge and practices into their lives, as well as promote them to others. In smaller class groups called ‘communities’, students will share their journaling. They will also work in their communities on a project to devise wellness initiatives for a specified group, for example, residents of a student hall.

This course provides an introduction to critical thinking and data literacy. Students will be equipped with critical tools to analyse problems of reasoning, evaluate the truthfulness of evidence, examine the fallacies of thinking, as well as the ability to construct valid arguments and reasonable solutions for their personal and professional life.

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 special topics course will help students to gain a better understanding on the topics related to their interdisciplinary studies. 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 topics 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. 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 topics 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. 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.

Special projects on selected interdisciplinary topics supervised by one or a group of faculty members. May be repeated for credits if different topics are taken. Enrollment may require approval of the course instructor. For DDP, RMBI, EVMT, and IIM students or those with approval from instructor for enrolling in the course. May be graded by letter, P/F or DI/PA/F for different offerings.

This course is to be taken with the Final Year or Capstone Project required by students’ Major. Students will apply knowledge learnt in the Extended Major and interdisciplinary problem-solving skills to solve real-world problems in their Major areas. For students enrolling in extended major who have Final Year or Capstone Project requirement in their Major only. Graded P or F.

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 students enrolling in extended major who do not have Final Year or Capstone Project requirement in their Major only. Maybe graded PP.