"From Medical Big Data Processing to Future Artificial Intelligence"
Elective Courses
| Object-Oriented Programming | This course focuses on understanding programming with an emphasis on object-oriented programming in the fields of computer science and software engineering. It provides the skills needed for software development and design, supporting success in professions such as programmers, software engineers, system architects, and related careers. |
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| Calculus | Calculus is a mathematical subject that deals with functions, differentiation, integration, rates of change, and cumulative change. Through this course, students acquire the ability to model and solve problems in various fields, including physics, economics, engineering, computer science, and more. |
| Data Science | This course covers the core concepts and techniques of data science that support decision-making through data analysis and modeling. It enhances their ability to solve complex problems and develop predictive models using data in various fields. Data science plays a crucial role in areas such as business, healthcare, science, policy decision-making, and more. |
| Operating Systems | In the field of computer science, students will learn the fundamental concepts, structure, functions, and operational principles of operating systems. It covers core topics like process management, memory management, file systems, security, and networking, equipping them with the skills necessary to efficiently manage computer systems and programming. |
| Cloud Computing | This course delves into the foundational concepts of the cloud, service models, virtualization, security, cost management, and more. Students will learn how to deploy and manage applications using cloud services while understanding the advantages and limitations of cloud computing. |
| Big Data Processing | In this course, students will study topics such as databases, distributed systems, big data analysis tools, cloud computing, and data security. Through practical experience, they will develop real-world big data engineering skills. These skills are utilized in various fields for data-driven decision-making and problem-solving. |
| Data Structures | This course covers data structures like arrays, lists, trees, and graphs, teaching fundamental concepts for data manipulation and searching. It helps enhance algorithmic and problem-solving abilities. |
| Deep Learning | Deep learning is a crucial technology in various fields such as image, speech, natural language processing, game AI, and medical image analysis. Students will learn the basic concepts and techniques of artificial neural networks and deep learning and enhance their skills through practical applications and projects. |
| Precision Medicine | This course delves into the principles and technologies of precision medicine in modern healthcare, covering topics like genomics, bioinformatics, and medical imaging. Students will learn how to apply precision medicine in patient diagnosis and treatment, gaining an understanding of the latest technologies and data analysis in the medical field. |
| Multimodal Learning | Multimodal learning is vital in the fields of artificial intelligence and machine learning, where various forms of data and information are combined. It provides the skills and understanding to solve problems and develop innovative projects by integrating diverse data types, including text, images, audio, video, and more. |
| AI Information Security | This course covers the core concepts and technologies in the fields of artificial intelligence and information security. Students will learn how to enhance the security of computer and network systems and defend against attacks. This course helps them build the skills of a security expert and develop a career in the field of information security. |
| Medical Database Design | Students will acquire skills in designing and constructing databases for the collection, storage, retrieval, analysis, and reporting of medical data. This enhances their abilities in medical information management and decision support, contributing to data management and decision-making processes in the medical field. |
| Data Modeling and Visualization | This course teaches techniques for data analysis, visualization, and effective data representation. Data modeling and visualization are crucial for analyzing and interpreting data to support organizational decision-making and problem-solving. |
| Automation Theory | Covering various topics such as control systems, robotics, and artificial intelligence, this course provides the knowledge necessary to understand and design automation systems. It is applied in manufacturing and robotics engineering fields. |
| Algorithm Analysis | This course enhances problem-solving skills and the ability to develop effective algorithms by covering various algorithm design techniques and algorithm complexity analysis. It helps students understand the role and application of algorithms in the fields of computer science and software development. |
| Business Management Project | In this course, students will learn business project management skills, and how to successfully plan, execute, and manage projects. These skills are essential in various business fields and can help students fulfill roles as business managers or project managers. |
