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Updated in [June 30th, 2023]

This course provides an overview of Big Data, Artificial Intelligence and Ethics. Students will gain context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. Through hands-on labs, students will use IBM Watson’s artificial intelligence to extract the personality of people from their digital text traces, and they will experience the power and limitations of machine learning by teaching two teachable machines from Google. Additionally, the course will discuss research ethics and some of the old and new lines computational social scientists have to keep in mind.

[Applications]
After this course, students can apply the knowledge they have gained by exploring the ethical implications of using big data and artificial intelligence. They can also use the skills they have acquired to develop their own projects that use big data and artificial intelligence to solve real-world problems. Additionally, students can use the hands-on labs they have experienced to further their understanding of machine learning and its applications.

[Career Paths]
The recommended career path for learners of this course is Big Data Artificial Intelligence and Ethics Analyst. This job position involves analyzing large amounts of data to identify patterns and trends, and using artificial intelligence and machine learning to extract knowledge from the data. The analyst must also be aware of ethical considerations when using data and artificial intelligence, and must be able to identify potential ethical issues and develop strategies to address them.

The development trend for this job position is that it is becoming increasingly important as more and more data is collected and analyzed. Companies are increasingly relying on data and artificial intelligence to make decisions, and the need for analysts who can identify ethical issues and develop strategies to address them is growing. As the use of data and artificial intelligence continues to grow, the demand for Big Data Artificial Intelligence and Ethics Analysts will continue to increase.

[Education Paths]
The recommended educational path for learners of this course is a Bachelor's degree in Computer Science with a focus on Big Data and Artificial Intelligence. This degree will provide students with the necessary knowledge and skills to understand the fundamentals of computer science, including programming, data structures, algorithms, and software engineering. Additionally, students will learn about the principles of big data and artificial intelligence, including machine learning, deep learning, natural language processing, and computer vision. They will also gain an understanding of the ethical implications of using these technologies, such as privacy, data security, and algorithmic bias.

The development trend of this degree is to focus on the application of big data and artificial intelligence in various fields, such as healthcare, finance, and education. Students will learn how to use these technologies to solve real-world problems and develop innovative solutions. Additionally, they will gain an understanding of the ethical considerations of using these technologies, such as data privacy, data security, and algorithmic bias. Furthermore, students will learn how to develop and deploy machine learning models in production environments.