Learning Outcomes of Programme

作者: 时间:2025-03-19 点击数:

The learning outcomes of this programme are divided into the following12modules:

(1)Engineering Knowledge

Ability to apply mathematics, computing, natural sciences, fundamental and specialized knowledge of IoT engineering to solve complex engineering problems in the field of IoT engineering.

(2)Problem Analysis

Ability to apply first principles of mathematics, natural sciences, and engineering sciences to identify, formulate, and analyze complex engineering problems in the field of IoT engineering through literature research, taking into account the requirements of sustainable development, to reach substantiated conclusions.

(3)Design/Development of Solutions

Ability to design solutions for complex engineering problems in the field of IoT engineering, design IoT systems to meet specific needs, demonstrate innovation in the design process, and consider feasibility from perspectives of health and safety, whole-life cost and net-zero carbon requirements, legal and ethical considerations, as well as social and cultural factors.

(4)Investigation

Ability to conduct investigations of complex engineering problems in the field of IoT engineering based on scientific principles and using scientific methods, including design of experiments, analysis and interpretation of data, and synthesis of information to obtain valid and reasonable conclusions.

(5)Modern Tool Usage

Ability to develop, select, and use appropriate technologies, resources, modern engineering tools, and information technology tools for complex engineering problems in the field of IoT engineering, including prediction and modeling of complex engineering problems, with an understanding of their limitations.

(6)The Engineer and Society

Ability to conduct reasonable analysis based on background knowledge in the field of IoT engineering, evaluate the impact of professional engineering practice and solutions to complex engineering problems on society, health, safety, law, and culture, and understand the corresponding responsibilities.

(7)Environment and Sustainable Development

Ability to understand and evaluate the impact of professional engineering practice on environmental and social sustainable development regarding complex engineering problems in the field of IoT engineering.

(8)Ethics

Possess awareness of serving the country and people through engineering, demonstrate humanistic and social science literacy and social responsibility, understand and adhere to engineering professional ethics and norms in the practice of IoT engineering, and fulfill responsibilities.

(9)Individual and Teamwork

Ability to function effectively as an individual, a member, and a leader in diverse and multidisciplinary teams.

(10)Communication

Ability to communicate effectively on complex engineering problems in the field of IoT engineering with engineering professionals and the general public, including writing reports and design documentation, making presentations, clearly expressing ideas, and responding to instructions. Possess a certain international perspective and ability to communicate and interact in cross-cultural contexts, understanding and respecting linguistic and cultural differences.

(11)Project Management and Finance

Ability to understand and master engineering management principles and economic decision-making methods in the field of IoT engineering, and apply them in multidisciplinary environments.

(12)Life-long Learning

Possess awareness of autonomous and life-long learning, and have the ability to continuously learn and adapt to development.

Students in the Internet of Things (IoT) Engineering program are expected to acquire professional knowledge andskillsin mathematics, natural sciences, and IoT engineering, as well as abilities in independentlearning, international communication, humanistic literacy, and teamwork. The specific professional goals and the12learning outcomesare summarized based on the program's talent development plan.

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