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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.
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This course introduces creative thinking methods and tools to foster design thinking in engineering and developing new products.
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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.
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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.
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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.
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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.
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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.
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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.
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This research course allows a student to participate in 8-10 hours per week on lab tasks, including data analysis and preparation for meetings with the lab supervisor.
The final grade is based on lab task participation and an oral presentation.
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This course introduces important and common foliage plants, using actual plants combined with slide presentations. The course covers: industry overview, indoor plant air purification, plant understanding and identification, growth habits, reproduction, temperature, light requirements, fertilizer management, light domestication physiology, nutritional health diagnosis, indoor greening and landscaping furnishings application, etc.
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