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Updated in [June 30th, 2023]

Linear Circuits 1: DC Analysis is a course that provides an introduction to the analysis of circuits with direct current (DC) sources. Students will learn how to analyze circuits with resistors, capacitors, and inductors, both analytically and experimentally. Additionally, practical applications of these circuits in sensors will be demonstrated. By the end of the course, students will have a comprehensive understanding of DC circuits and their applications.

[Applications]
Students who have completed Linear Circuits 1: DC Analysis can apply their knowledge to analyze and design circuits with DC sources. They can use their understanding of resistors, capacitors, and inductors to analyze the behavior of circuits and predict their performance. Additionally, they can use their knowledge to design and build circuits for practical applications such as sensors.

[Career Path]
The recommended career path for learners of this course is Electrical Engineer. Electrical Engineers are responsible for designing, developing, testing, and supervising the manufacture of electrical equipment, such as electric motors, navigation systems, communication systems, and power generation equipment. They also work on the development of new technologies, such as renewable energy sources, and the integration of electrical systems into larger systems.

The development trend for Electrical Engineers is towards the use of more advanced technologies, such as artificial intelligence, machine learning, and the Internet of Things. Electrical Engineers will need to be able to design and develop systems that are able to interact with these technologies, as well as understand the implications of their use. Additionally, Electrical Engineers will need to be able to work with other professionals, such as software engineers, to ensure that the systems they design are secure and reliable.

[Education Path]
The recommended educational path for learners of this course is to pursue a degree in Computer Engineering. This degree typically includes courses in computer architecture, digital logic design, computer networks, software engineering, and embedded systems. It also covers topics such as computer programming, operating systems, computer graphics, and artificial intelligence.

The development trend of this degree is to focus more on the application of computer engineering principles to solve real-world problems. This includes the development of new technologies such as machine learning, robotics, and the Internet of Things. Additionally, the degree is becoming more interdisciplinary, incorporating courses from other fields such as mathematics, physics, and electrical engineering.