Curriculum
| Course Number | Summary | English |
|---|---|---|
| HBT702 | Processing of Horticultural Products | |
| Basic knowledge on the utilization and processing of post-harvest horticultural products for optimum production and high quality preservation. | ||
| HBT703 | Advanced Pathology of Horticultural Crops | |
| - | ||
| HBT708 | Advanced Tissue Culture of Horticutural Crops | |
| - | ||
| HBT709 | Special issue of horticulture processing | |
| - | ||
| HBT714 | Newest Topics in Breeding of Horticultural Crops | |
| - | ||
| HBT725 | Studies on Molecular Biological Plant Growth Regulation | |
| - | ||
| HBT727 | Advanced Molecular Biology in Horticultural Crops | |
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- |
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| HBT728 | Application of Plant Growth Regulation | |
| Lectures on the theories regulating plant growth in horticultural crops and the bioassay, extraction, and analysis of growth regulators including plant hormones will be given. | ||
| HBT729 | Special Topic in Propagation of Horticultural Crops | |
| - | ||
| HBT730 | Newest Topics In Horticultural Crop Pathology | |
| - | ||
| HBT732 | Environmental regulation in horticulture | |
| - | ||
| HBT734 | Advanced Breeding of Horticultural Crops | |
| - | ||
| HBT735 | Advanced Protected Horticulture | |
| - | ||
| HBT737 | Advanced Experimental Design and Analysis | |
| - | ||
| HBT740 | Advanced Horticultural Functional Materials | |
| This lecture is the study of chemistry and biochemistry in order to understand the basic components and mode of actions of functional bioactive materials in horticultural crops. | ||
| HBT744 | Advanced Crop Bioinformatics | |
| This lecture aims to cultivate the ability to search, extract, and process crop omics data into academic research. | ||
| HBT745 | Crop Big Data Programming | |
| This lecture provides a practical Python programming class to handle massive crop big data originating from next-generation sequencing and omics analysis. | ||
| HBT746 | Crop Systems Biology | |
| This lecture aims to learn holistic analysis of crops based on omics data through various literature and to apply it to students’ research. | ||
| HBT747 | Smart Farm Facility Environmental Engineering | |
| This course aims to teach students the skills to understand and manage the environmental factors of a smart farm facility, as well as the principles and application methods of technologies used in smart farming. The main topics include methods for measuring and controlling environmental factors such as temperature, humidity, light, carbon dioxide, and soil moisture in smart farm facilities, as well as the principles and operating methods of sensors and control equipment, and data collection and analysis methods. Through this course, students will understand the effects of applying smart farming technology on increasing crop productivity and improving quality, and develop the ability to design and operate smart farming systems. | ||
| HBT748 | Applied Measurements and Instruments | |
| This course covers various measurement equipment and methods used in the field of smart farming. It deals with a variety of topics such as electronic measurement, optical measurement, communication and network measurement, and signal and system analysis. In addition to theoretical content, this course provides opportunities to perform actual measurements. The main contents include the basic concepts and components of measurement systems, types and principles of measurement techniques, selection and usage of measurement devices, and analysis and interpretation of measurement results. Through this course, students will develop the ability to choose appropriate measurement methods in various measurement situations in the agricultural field and accurately interpret measurement results. | ||
| HBT749 | Advanced Remote Sensing | |
| Advanced Remote Sensing is a course that aims to enhance agricultural productivity using remote sensing technology and its applications. In this course, students will learn about various remote sensing technologies used in the agricultural field, including satellite, aerial, drone, and ground-based sensors. The course also covers various methods and applications that utilize these technologies to improve agricultural productivity and product quality. Key topics include agricultural productivity analysis, crop growth monitoring, soil and moisture management, and crop disease and pest monitoring, as well as the technologies necessary for data collection, analysis, and utilization. Through this course, students will understand how to apply remote sensing technology in the agricultural field to improve productivity. | ||
| HBT750 | Plant image Processing | |
| This course aims to provide solutions to plant-related problems in the field of image processing, covering technical approaches to plant observation, monitoring, and analysis. It includes both theoretical and practical aspects applicable to fields such as plant ecology, crop production, and ecosystem restoration. The main topics covered include plant image analysis techniques, plant modeling and 3D restoration, plant sensing and image classification, and plant image database and information management. Additionally, students will learn about various applications of these techniques, such as monitoring plant health, analyzing crop productivity, and monitoring ecosystem changes. Through this course, students will gain a better understanding of plant image processing and acquire practical application methods for plant ecology and agriculture. | ||
| HBT751 | Agricultural Artificial Intelligence Modeling | |
| The course on agricultural artificial intelligence modeling deals with using artificial intelligence technology to solve problems in the agricultural field. In this course, students learn artificial intelligence modeling techniques for various agricultural issues, such as improving agricultural productivity, managing crop diseases and pests, and predicting crop yields. The main topics covered include understanding and applying machine learning and deep learning algorithms, crop growth modeling using artificial intelligence, crop disease and pest detection and diagnosis, and intelligent environmental control and management in greenhouses. Additionally, data collection and preprocessing techniques used in artificial intelligence modeling are also covered. Through this course, students can acquire the ability to solve agricultural problems using artificial intelligence technology. | ||
| HBT752 | Special Topics on Smart Farm Environmental-energy Modeling | |
| This course covers the necessary facility environmental modeling techniques for the smart farm field. In this course, students will learn the ability to interpret the physical characteristics of the internal environment of a smart farm facility based on the flow of thermal fluids. Additionally, the course also covers methods for collecting and analyzing various environmental sensor data used in actual smart farm facilities, and students will learn how to use this data to increase the productivity and efficiency of smart farm facilities. | ||
| HBT753 | Environmental-friendly Smart Farming Special Lecture | |
| The course covers various technologies and methods for environmentally friendly agricultural production in the field of smart farming. It teaches the technical approach and principles of environmentally friendly agriculture to minimize environmental pollution and ensure sustainable agricultural production. The main topics include the design of environmentally friendly agricultural systems, management of environmentally friendly cultivation environments, use of environmentally friendly pesticides and fertilizers, crop protection, and inorganic cultivation methods. In addition, the course also covers the methods of constructing and managing environmentally friendly smart farming systems based on these technologies. Through this course, students can acquire essential skills and concepts for environmentally friendly agricultural production in the field of smart farming. | ||
| HBT754 | Special Topics in Crop Genome Editing | |
| This lecture will focus on high-impact publications related to crop biotechnology to understand the current trends of genome editing tools and deliberate on future crop genome editing. | ||
| HBT755 | Special Topics in Crop Molecular Signaling | |
| This course will focus on the relationship between peptide ligands and their receptors for plant development and growth regulation, highly associated with crop genetic engineering and crop improvement. | ||
| HBT756 | Advanced Plant Signal Crosstalk | |
| This lecture will discuss plant signal transduction pathways achieved by biomolecular interactions such as protein-protein, protein-RNA and protein-DNA. | ||
| HBT757 | Advanced Plant Biochemistry | |
| This lecture will discuss how biochemical functions of biomolecules such as DNA, RNA, protein, and metabolites are regulated by external and internal stimuli in plants. | ||
| HBT758 | Crop Functional Genomics | |
| This lecture aims to learn methodologies and recent research trends for crop functional genomics encompassing genome-scale identification and functional characterization of genes. | ||
| HBT759 | Seminar in Smart Farm Science 1 | |
| Students will discuss scientific literature in order to grasp worldly trends in the horticultural field and the ability to generate fundamental theories. | ||
| HBT760 | Seminar in Smart Farm Science 2 | |
| Students will analyze scientific papers and present their findings in class in order to grasp various worldly trends in the field of horticultural science. | ||
| HBT761 | Seminar in Smart Farm Science 3 | |
| The aim of this seminar is to train students to read and analyze recent scientific papers in the horticultural science field and to discuss their findings in front of peers. | ||
| HBT762 | Seminar in Smart Farm Science 4 | |
| Students will be able to prepare and present materials based on the research results presented in world academy and domestic academy related to breeding, cultivation and horticultural products of horticultural crops, It recognizes domestic horticultural trends and reviews them in relation to their own research, and develops comprehension and presentation skills. | ||
| PAM714 | Advanced Plant Physiology | |
| This course provides the advanced knowledge of plant and cell physiology. |