This lecture covers the fundamentals of lambda calculus, including its syntax and semantics, and the role of types in programming languages. The instructor begins by introducing lambda calculus extended with constants, explaining the syntax and semantics through examples. The concept of type safety is introduced, emphasizing that well-typed programs do not encounter runtime errors. The lecture discusses the importance of types as approximations of runtime values and the undecidability of certain semantic properties. The instructor explains the small-step semantics of simply typed lambda calculus and the significance of typing judgments. The concepts of static semantics, type safety, progress, and preservation are elaborated upon, providing a comprehensive understanding of how types ensure that programs behave correctly. The lecture concludes with an introduction to type inference and unification, illustrating how types can be inferred from expressions. Overall, this lecture provides a solid foundation in lambda calculus and type systems, essential for understanding modern programming languages.
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