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Updated in [June 30th, 2023]

What does this course tell?
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Both AI and cognitive science can gain by studying the human solutions to difficult computational problems [1]. My talk will focus on two problems: concept learning and question asking. Compared to the best algorithms, people can learn new concepts from fewer examples, and then use their concepts in richer ways -- for imagination, extrapolation, and explanation, not just classification. Moreover, learning is often an active process; people can ask rich and probing questions in order to reduce uncertainty, while standard active learning algorithms ask simple and stereotyped queries. I will discuss my work on program induction as a cognitive model and potential solution for extracting richer concepts from less data, with applications to learning handwritten characters [2] and learning recursive visual concepts from examples. I will also discuss program synthesis as a model of question asking in simple games [3]. [1] Lake, B. M., Ullman, T. D., Tenenbaum, J. B., and Gershman, S. J. (2016). Building machines that learn and think like people. Preprint available on arXiv:1604.00289. [2] Lake, B. M., Salakhutdinov, R., and Tenenbaum, J. B. (2015). Human-level concept learning through probabilistic program induction. Science, 350(6266), 1332-1338. [3] Rothe, A., Lake, B. M., and Gureckis, T. M. (2016). Asking and evaluating natural language questions. In Proceedings of the 38th Annual Conference of the Cognitive Science Society.


We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
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Stanford Seminar: Concepts and Questions as Programs is a course designed to help students understand the fundamentals of programming. In this course, students will learn how to use concepts and questions to create programs. They will also learn how to use Lightroom Classic CC to import, process, and export images. Additionally, students will have access to Lightroom Keyboard Shortcut Cheat Sheets, RAW files used in the processing videos, Morganti Lightroom Profiles, and Morganti Lightroom Presets. This course is ideal for those who are interested in learning the basics of programming and mastering Lightroom Classic CC.

[Applications]
The application of this course can be seen in the use of Lightroom Classic CC for photo editing. After completing this course, users should be able to import, process, and export images with ease. Additionally, users should be able to use the Lightroom Keyboard Shortcut Cheat Sheets, RAW files, Morganti Lightroom Profiles, and Morganti Lightroom Presets to further enhance their photo editing skills. With the knowledge gained from this course, users should be able to create stunning images with Lightroom Classic CC.

[Career Paths]
The career path recommended to learners of this course is a software engineer. A software engineer is responsible for designing, developing, testing, and maintaining software applications. They must have a strong understanding of computer programming languages, algorithms, and software development processes. They must also be able to work with other software engineers, designers, and product managers to ensure that the software meets the needs of the customer.

The development trend for software engineering is towards automation and artificial intelligence. Software engineers are increasingly expected to be able to develop software that can automate tasks and make decisions based on data. They must also be able to develop software that can interact with users in natural language and understand their needs. Additionally, software engineers must be able to develop software that can integrate with other systems and services. As technology advances, software engineers must be able to keep up with the latest trends and technologies.

[Education Paths]
The recommended educational path for learners of this course is to pursue a degree in computer science. This degree will provide learners with the necessary skills to develop and design software applications, as well as understand the fundamentals of computer programming. Learners will gain an understanding of the principles of computer science, including algorithms, data structures, and software engineering. They will also learn how to use programming languages such as Java, C++, and Python to create software applications.

The development trend of computer science degrees is to focus on the application of computer science to solve real-world problems. This includes the development of artificial intelligence, machine learning, and data science. Additionally, computer science degrees are increasingly focusing on the development of mobile applications, web development, and cloud computing. As technology continues to evolve, computer science degrees will continue to focus on the development of new technologies and applications.