National Taiwan University

This course discusses the concepts, technology and aesthetics of digital interactive devices, focusing on sound and image interaction as the theme, teaching the production of real-time sound images and digital interactive content and various tools, including MaxMSP, surround photography, animation, motion capture and sensory detector, etc. 

The course outline is as follows: 

1.Introduction to Digital Art 
2. Basic elements of digital art 
3. Self-made and created digital art 
4. Basic tools and functions for creation 
5. Interaction between music and digital art 
6.Interaction between images and digital art 
7. Sensors interact with digital art 
8. Digital art display and space design 
9. Discussion on production and finishing of works 
10. Work presentation and discussion 

Understanding the processes involved in the transformation of carbon, phosphorus, nitrogen, and other major elements in the oceans has been a major interest of oceanographers over the past decade. Marine dissolved organic matter (DOM) plays a vital role in regulating global patterns and cycling of the major elements of seawater. There are a number of biochemical, photochemical and physical transformations that marine DOM can be influenced by, including DOM production, diagenesis and re-mineralization, as well as interactions with trace metals and microbes. Additionally, marine DOM plays important roles at environmental interfaces such as those between land and sea, sediment and water, particle and bulk solution. This course covers both well-established and recently developed concepts on marine DOM relevant to future marine scientists, in particular, those in the fields of chemistry, biogeochemistry and ecology.   

This course provides instruction in building cutting-edge interactive systems and guides to design futuristic experiences. Students gather in Make Reality Space in a studio format to construct software and hardware prototypes. Topics for each semester may change and evolve towards ultimate reality. 
 
This course focuses on mixed reality technologies. Specifically, students use Meta Quest 3, Intel Realsense cameras, computer vision toolkits, 3D printed props, and Unity game engines to connect both the physical and virtual worlds. In groups, students design and build their own interactive hardware/software prototypes and present them in a live demo at the end of term.   

This course introduces creative thinking methods and tools to foster design thinking in engineering and developing new products. 

BIM (Building Information Modeling) is an emerging technology that employs digital information models in the virtual space to achieve better quality and efficiency of construction and management work throughout lifecycle of a facility. Through lectures and case studies, this course is designed to teach students the knowledge of BIM Technology and its development and application potential. 

This course provides an overview of chemical ecology and aims to understand the history, development, and core concepts of chemical ecology.  It introduces how organisms interact via chemicals, focusing on insects and plants.   The course requires basic knowledge of biology and chemistry. 

Data processing is an important aspect for every field of study, and Excel is one of the most commonly used methods. Through lecture and homework exercises, this course aims to introduce basic and advanced functions of Excel that are capable of meeting most data processing needs.   

This course discusses the basic principles and molecular controls of embryonic development, emphasizing the progression from gametogenesis, fertilization, cleavage to gastrulation (i.e., the formation of the gut). The course also covers cell fate and embryonic axis determination as well as popular experimental models used by current developmental biologists. The course studies formation and derivatives from three germ layers, ectoderm, mesoderm and endoderm. The course then ends with a review of tissue and organ regeneration and the progression of regenerative medicine.  

This is the first course, in a two-semester course series, designed primarily for undergraduate psychology majors or minors who anticipate future applications of statistical methods. Topics covered in this course include an overview of descriptive statistics, foundational concepts in inferential statistics (probability, population, sample, sampling methods, sampling distributions, estimation of population parameters, binomial, normal, t, and F distributions), hypothesis significance testing (Type I and II errors, statistical power), and comparisons of means (t-tests, oneway analysis of variance, multiple comparisons of means, and effect sizes). 

Course prerequisite: Mastery of algebra and analytical geometry at the high-school level. 

Artificial intelligence in medicine has created tremendous business opportunities recently, creating an ideal environment for AI-Biomedical interdisciplinary specialists to make considerable contributions and significantly impact the world. Intelligent medicine aims to utilize state-of-the-art AI technologies for many medical applications such as accurate disease risk prediction and essential predictors selection, which are for early precise and efficient treatments. This course introduces the vast potential of intelligent medicine, seeking to advance student skills and motivation for AI-Biomedical interdisciplinary science.  

The course also introduces potential partners for future interdisciplinary collaboration to our students and provide opportunities for practical implementations through several carefully designed experiments, which shall demonstrate how to leverage real-world medical resources and related AI technologies. The course includes visits to prestigious companies and institutes and as well as seminars.