Postgraduate Courses
FUNH
Function Hub
- FUNH 5000Introduction to Function Hub for Sustainable Future[2-0-0:2]DescriptionThis course covers background knowledge in the thrust areas of the Function Hub, including Advanced Materials, Sustainable Energy and Environment, Microelectronics, and Earth, Ocean and Atmospheric Sciences.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Define the underlying principles for materials discovery and innovation fundamentals.
- 2.Describe the foundation for Sustainable Energy and Environmental.
- 3.Demonstrate the necessary knowledge in the development of Microelectronics.
- 4.Identify the fundamental knowledge of Earth, Ocean and Atmospheric Science.
- FUNH 5100Introduction to Materials Informatics[3-0-0:3]DescriptionMaterials informatics integrates materials science and engineering with artificial intelligence (AI), machine learning (ML), and database to accelerate the innovation in the whole materials development continuum and to speed up the process from data to material knowledge. This course will introduce essential and fundamental AI and ML knowledge and algorithms through vivid and practical examples from materials science and engineering.Notably, this course is designed for students whose majors are not in mathematics or computer science but other broader fields, such as materials science and engineering, mechanics science and engineering, physics, and chemistry. This course will empower those with limited knowledge of statistics, probability, and optimization to learn Materials Informatics without difficulty.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Identify scientific and engineering significances in the cross-disciplinary studies, particularly materials, materials informatics, and artificial intelligence
- 2.Engage critical thinking skills that are essential for the cross-disciplinary studies
- 3.Apply machine-learning-based research methods for conducting cross-disciplinary research
- 4.Demonstrate effective communication skills in reporting research findings
- 5.Derive new domain knowledge with the new toolbox of machine learning
- FUNH 5200Advanced Topics for Materials Informatics[3-0-0:3]BackgroundStudents who have taken FUNH 5100 are encouraged to take this course for continued advanced topics related to deep learning. However, any students with background/interest in computation/machine learning are welcome to take this course without having taken FUNH 5100.DescriptionMaterials informatics integrates materials science and engineering with artificial intelligence (AI), machine learning (ML), and database to accelerate the innovation in the whole materials development continuum and to speed up the process from data to material knowledge. This is a continued course based on FUNH 5100 Materials Informatics but with separate topics, where we will introduce advanced AI and ML algorithms with more focus on deep learning, through vivid and practical examples from materials science and engineering. Notably, this course is designed for students whose majors are not in mathematics or computer science but other broader fields, such as materials science and engineering, mechanics science and engineering, physics, and chemistry. This course will empower those with limited knowledge of deep learning to learn Materials Informatics without difficulty.
- FUNH 6770Professional Development for Function Hub[0-1-0:1]DescriptionThis course aims at providing research postgraduate students basic training in scientific ethics in research studies in advanced materials, sustainable energy and environment, earth, ocean and atmospheric sciences and microelectronics, research management, professional career development, and related professional skills. Guest speakers from various professional areas will be invited to share their career paths in professional career developments. Students will have chances to connect to talents in various professional areas. Graded PP, P or F.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Identify topics of research study in Function Hub.
- 2.Apply the available research resources at HKUST.
- 3.Recognize the importance of research ethics in Function Hub research.
- 4.Explain the necessary research skills in Function Hub research.
- 5.Demonstrate job hunting skills.
- 6.Explain academic and industrial career opportunities.
- FUNH 6800Function Hub Seminar[0-1-0:0]DescriptionSeminar topics presented by students, faculty and guest speakers. Students are expected to attend regularly and demonstrate proficiency in presentation in accordance with the program requirements. Graded P or F.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Demonstrate effective presentation skills in seminar presentations.
- 2.Engage argumentative and critical thinking skills.
- 3.Demonstrate effective listening and questioning skills.
- 4.Enhance the skills for conducting cross-disciplinary enquiry.
