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This class provides an introduction to functional programming. Functional programming is a style of programming in which computations are solely expressed in terms of applications of functions to arguments (which themselves can be functions). This style of programming has a long history in computer science, beginning with the formulation of the Lambda Calculus as a foundation for mathematics. It has become increasingly popular in recent years because it offers important advantages in designing, maintaining, and reasoning about programs in modern contexts such as web services, parallel (multi-core) programming, and distributed computing. Coursework consists of a series of programming assignments in the Racket , and Java , and Haskell programming languages plus occasional programming languages followed by a discussion of frameworks for reasoning about functional and imperative programs supported by written homework assignments on underlying theory.
Grading, Honor Code Policy, Processes, and Procedures
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Office Hours |
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Textbooks and articles | There is no required textbook. We will follow the pedagogic approach of "How to Design Programs, First Edition" and extend it to other languages. The Second Edition of this book is the default at the website www.htdp.org but this web page contains a link to the first edition (at URL: https://htdp.org/2003-09-26/) at the bottom of the page. The two editions are very similar but this course tracks the first edition. We will draw material from a variety of sources, including:
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Development Environment |
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Lecture Schedule (In Progress)
Tu | Aug 22 | Motivation and the Elements (Constants) of Racket | Skim HTDP First Edition, Part 1 (Ch 1-8), Part 2 (Ch 9-10) | ||
Th | Aug 24 | Conditionals, Function Definitions, and Computation by Reduction | |||
Tu | Aug 29 | Conditionals, Function Definitions, and Computation by Reduction | Review Ch 8 HTDP Part 2 (Ch 9-10) | Sep 04 | |
3 | Th | Aug 31 | The Program Design Recipe for Racket, which focuses on using recursion to process lists and natural numbers | Preface, 9.4 HTDP Part 2 (Ch 11-13) | |
Tu | Sep 05 | Data Definitions, Data-driven Structural Recursion, | HTDP Part 3 | Sep 11 | |
5 | Th | Sep 07 | Mutually Recursive Definitions and Help Functions | HTDP Ch 15-17 | |
Tu | Sep 12 | Local Definitions and Lexical Scope | HTDP Parts 5-6 | Sep 18 | |
Th | Sep 14 | Lambda the Ultimate and Reduction Semantics | LawsOfEvaluation | ||
Tu | Sep 19 | Functional Abstraction and Polymorphism | |||
Th | Sep 21 | Functions as Values | Homework 4 | Sep 28 | |
10 | Tu | Sep |
26 | Generative (Non-structural) Recursion | Homework 5 (long)* | Oct 11 |
11 | Th | Sep |
28 | Lazy Evaluation and Non-strict Constructors |
12 | Tu | Oct |
03 | Techniques for Implementing Lazy Evaluation | ||
13 | Th | Oct |
05 | A Glimpse at Imperative Racket and Memoization | Sample Exam | |
Tu | Oct |
10 | Fall Recess |
14 | Th | Oct |
12 | On to Java! Midterm (Through Lecture 13 and HW 5) 7-10 pm | Oct 23 | |
Tu | Oct |
17 | Adapting the HTDP Design Recipe to Java |
15 | Th | Oct |
19 | Higher-order Functional Programming in Java | Homework 7 | Oct |
26 | ||
16 | Tu | Oct |
24 | Four Key Idioms for Encoding FP in Java |
17 | Th | Oct |
26 | The Singleton and Visitor Patterns | Homework 8 | Nov 1 |
18 | Tu |
Oct 31 | Java Generics and Their Role in FP in Java |
19 | Th | Nov |
02 | Reasoning About Functional Programs | Homework 9* | Nov 8 |
20 | Tu | Nov |
07 | First-order Programming Logic (an analog of ACL2 [UT Austin]) |
21 | Th | Nov 09 | Theorem Proving Strategies | Homework 10 |
Nov 15 | ||
22 | Tu | Nov |
14 | Hoare Logic | ||
23 | Th | Nov |
16 | imperative Loop Invariants vs. Contracts for Help Functions | Homework |
11 | Nov |
27 | ||
24 | Tu | Nov |
21 | Reasoning About Procedure Calls | ||
25 | Tu | Nov |
28 | Hoare Logic Applied to OO Code | ||
26 | Th |
Nov 30 | The Future of FP and Programming Logic |
*Assignments marked with * are double assignments that count twice as much as regular assignments.
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