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Introduction

Short-, Medium-, and Long-Term Plans

Specific Plans and Approaches

Short-Term Plan
(Academic Years 106-107)

  1. Establish the "Hope Project Electromagnetic Wave Anechoic Chamber."
  2. Organize a department-level "Innovation and Creativity Competition" and integrate it with the "Creative Thinking and Problem Solving" course.
  3. Establish the "Tamkang University Department of Electrical Engineering Alumni Forum."
  4. Set up a "Special Recruitment" mechanism and continue to expand its implementation.
  5. Co-organize the "Republic of China Marine and Underwater Technology Association Annual Meeting."
  6. Rename the "Communication and Wave Group" in the Tamkang University Department of Electrical Engineering Graduate Institute.
  7. Promote the incorporation of the "Tamkang University Department of Electrical Engineering Alumni Association."
  8. Support the establishment of the "PhD Program in Robotics" in the College of Engineering at Tamkang University.
  9. Support the execution of the "Smart Robotics and Smart Machinery Integration Curriculum Program" in the College of Engineering at Tamkang University.
  10. Plan and promote the establishment of the "Tamkang University Department of Electrical Engineering English Master's Program" to actively recruit international graduate students.
  11. Completely update the curriculum structure of the "Tamkang University Department of Electrical Engineering Continuing Education Bachelor's Program."
  12. Implement teaching innovations in line with higher education deep cultivation.
  13. Offer the "Advanced Communications Laboratory" course.
  14. Continuously update the equipment needed for "Basic Electrical Experiments" and "Circuit Experiments."
  15. Continue to promote the implementation of the "Smart Robotics Credit Program" in the College of Engineering at Tamkang University.
  16. Continue executing the "Shared University Research (SUR) Program" in collaboration with IBM.
  17. Procure hardware and equipment needed for "Machine Learning" related courses and projects.
  18. Set up a "Specialized Measurement Laboratory" and acquire related equipment.
  19. Establish the "Engineering Professional Leadership Credit Program" to integrate with "Scholarships for Leadership Training" for synergistic effects.
  20. Participate in the third phase of engineering education accreditation.

Medium-Term Plan
(Academic Years 108-111)

  1. The Internet of Things (IoT) aims to connect computers with machinery, devices, and individuals for communication and information exchange. It can be widely applied in fields such as transportation and logistics, healthcare, and smart environments (homes, offices, factories). Implementing IoT requires integrating technologies such as computer networks, communications, embedded hardware and software, and sensor circuits. Our department plans to complete the following items to build teaching and research capabilities in IoT, actively collaborate with industry, and cultivate students with expertise in the field of IoT. Planned items include:

    1. Integrate faculty research resources to establish an "IoT" research cluster.
    2. Set up an "IoT" laboratory.
    3. Collaborate with other departments to establish an "IoT Innovation R&D and Service Development" program.

    In addition, the integration of artificial intelligence (AI) and robotics is a future trend. How to equip robots with vision and cognitive capabilities through relevant courses and supporting measures will be one of our department's key focus areas. Planned items include:

    1. Introduce new undergraduate foundational courses related to AI and robotics, such as machine vision and machine learning.
    2. Integrate faculty research resources to establish an "AI and Robotics Integration Application" research cluster.
    3. Seek industry-academia collaborations related to collaborative robots and unmanned vehicles (such as drones and autonomous transport vehicles).

Long-Term Plan
(Academic Years 112-115)

  1. Apply IoT Innovation and Service Development:

    • Leverage the research outcomes from "IoT Innovation R&D and Service Development" to engage in industry-academia collaborations for designing new sensor application components or service models. Key components for IoT innovation and service development include sensors, cloud computing, big data analysis, data database management, business intelligence analysis, and user behavior research talent. Talents in this field must possess knowledge and skills in data science, technological innovation R&D, and operational management. They need to understand how to use and analyze data and connect it with their business or operational needs. IoT has significant potential for value creation in future development, and the industry ecosystem provides a development environment where suppliers can explore untapped solutions, such as real-time or cross-time-zone data collection and analysis, to enhance business application and innovation capabilities. These developments will facilitate internal and external connections within enterprises and create additional value.

  2. Security and Assurance in IoT for CPS (Cyber-Physical Systems) Applications:

    • Focus on strengthening defenses from the software planning stage and implementing high-quality defenses at every level of system construction. In the future, vendors may be required to prove their products' information security capabilities, which will be a fundamental challenge in cybersecurity. Establish an IoT communication strategy involving five key elements: Talent, Ecosystem, Network Standards, User Desire, and Security. Ensuring all five elements are in place will support IoT development in the industry. Talent is central to IoT advancement, so there should be efforts to train individuals in sensor R&D, data analysis, and understanding user experiences and needs. Develop the industry ecosystem through cross-industry communication or collaboration. Master standard setting and international connections, with large enterprises participating in international standards agreements and exploring international business opportunities. Understand user needs, address concerns, and promote innovative development. Establish a secure network environment by combining government and industry resources, proposing security standards based on international industrial technology development benchmarks, and alleviating users' concerns about information security. This will help industry types or service models move towards new prosperity.

  3. Big Data and Artificial Intelligence Development:

    • Big Data involves collecting and analyzing information through computer and mobile device networks and can be widely applied in retail, manufacturing, and healthcare to understand consumer trends, manufacturing yield, and health management. Artificial Intelligence involves using computer and robotic technology to design intelligent systems or robots, such as smart homes and smart factories. Developing Big Data and Artificial Intelligence requires integrating technologies such as computer information, statistical analysis, natural language processing, robotics, embedded hardware and software, and system-on-chip. Our department plans to complete the following items to build teaching and research capabilities in Big Data and Artificial Intelligence, actively collaborate with industry, and cultivate students with expertise in these fields:
      • Hire additional doctoral faculty in the fields of "Big Data" and "Artificial Intelligence."
      • Establish laboratories related to "Big Data" and "Artificial Intelligence."