Lazy Lists: Delayed Evaluation and Efficient Computation

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Lazy Evaluation: Lazy Lists

Explores lazy evaluation and lazy lists in Scala, emphasizing their benefits and implementation.

Lazy Evaluation

Explores lazy evaluation in functional programming, focusing on Scala's implementation of lazy lists.

Compiler Extension Lab

Covers the Compiler Extension Lab, focusing on adding new functionality to a simple functional language compiler.

Programming Models: Overview and Examples

Explores programming models for big data processing, including Spark's RDDs and optimizations.

Functional Programming: Concepts and Implementation

Covers the concepts and implementation of functional programming in Scala, emphasizing functions, immutable data, and data abstraction.

Big-step semantics: Defining arithmetic expressions and commands

Covers the definition of a simple programming language and its big-step semantics, including arithmetic expressions and imperative commands.

Dataflow: Execution Models for Distributed Computing

Explores the data flow model for distributed computing using RDDs in Spark.

Safe Mutation in Practice

Explores safe mutation in functional programming through lazy evaluation, object invariants, and efficient caching functions.

Functional Programming Basics in Scala

Covers the basics of functional programming in Scala, including evaluation strategies, conditionals, and value definitions, with a focus on computing square roots with Newton's method.

Modeling Prisoner's Dilemma: Naive vs. Optimal

Explores the modeling of the '100 prisoners' problem and compares naive and optimal approaches.