1学分,2学时/每周。同修课程:认知科学导论。本课程用于提供给学生们一个在认知科学课程中的基本概念、假设、模型、方法、挑战以及各类应用的一个实践平台。本实验课程将着重培养学生们处理认知科学相关数据的基本功以及从事认知科学研究的创新型思维。通过本课程的学习,学生掌握认知科学和人工智能的基本概念、数据处理的相关方法,并在此基础上可以修习计算机科学与技术专业和智能科学与技术专业的其它高级类课程。此外,在此课程上学习的认知科学和人工智能的相关知识可以帮助学生理解与认知机理和机器智能相关的更多高级应用:如计算机视觉,机器学习,深度学习,人机交互,信息系统,智能机器人等。 1 credit, 2 classes per week. Co-requisites: Introduction to Cognitive Science. This course aims at providing students a practice platform to the basic concepts hypotheses, models, methods, issues, and applications. This Lab will focus on improving students’ ability to handle data and students’ original creativity.By the end of the course, the students should know enough knowledges on cognitive science and artificial intelligence and some methods to processing cognitive data that the student can take advanced courses in computer science as well as the artificial intelligence specialization. Further, the knowledge and understanding acquired through this course should inform student's subsequent work on any application related to cognitive science and artificial intelligence, including computer vision, Machine Learning, Deep Learning, human–computer interaction, information system design, intelligent robots, etc.
After introducing the essence, purpose, basic hypothesis, scope and application fields of logic (especially classical mathematical logic), this course teaches classical propositional calculus, classical first-order predicate calculus, and the limitations of classical mathematical logic in detail, and then introduces the classical conservative expansions and non-classical alternates of classical mathematical logic.