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COMP 311 / COMP 544: Functional Programming (Fall 2020)

 

 



Instructors

Robert "Corky" Cartwright

TA

TBA

Lectures

Online using Zoom

Lecture Times

9:40am–11:00am TR

Instructor Emailcork@rice.eduOnline DiscussionPiazza – Rice Comp 311

 

Brief Description

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 (multicore) programming, and distributed computing. Course work consists of a series of programming assignments in the Racket, Java, and Haskell programming languages plus occasional written homework assignments on underlying theory.

Grading, Honor Code Policy, Processes, and Procedures

Grading will be based on your performance on weekly programming assignments and two exams: a midterm and a final. All work in this class is expected to be your own, and you are expected not to post your solutions or share your work with other students, even after you have taken the course. Please read the Comp 311 Honor Code Policy for more details on how you are expected to work on your assignments. There will also be a final exam, as described in the syllabus.

All students will be held to the standards of the Rice Honor Code, a code that you pledged to honor when you matriculated at this institution. If you are unfamiliar with the details of this code and how it is administered, you should consult the Honor System Handbook. This handbook outlines the University's expectations for the integrity of your academic work, the procedures for resolving alleged violations of those expectations, and the rights and responsibilities of students and faculty members throughout the process.

 
Accommodations for Students with Special Needs

Students with disabilities are encouraged to contact me during the first two weeks of class regarding special needs. Students with disabilities should also contact Disabled Student Services in the Ley Student Center and the Rice Disability Support Services.


General Information

 

Course Syllabus
Homework Submission Guide
Office Hours
Instructor
    
Corky Cartwright

TuTh

 

1:30pm-2:30pm

By appointment

Online via Zoom

Online via Zoom

Teaching Assistants

Agnishom

Andrew Obler

Chunxiao Liao

TBA

TBA

TBA

TBA

TBA

TBA

Online via Zoom

Online via Zoom

Online via Zoom

Textbooks
Recommended Videos
Development Environment
  • DrRacket is recommended for all Racket homework assignments in this course. The interface is "textually transparent" as we will show in class.
  • DrJava is the supported IDE for Java in this course, but you are welcome to use any IDE such as IntellJ or Eclipse.
  • We are still evaluating IDEs for Haskell.

 

Lecture Schedule (In Progress)

 

Week

Day

Date

Lecture Topic and Resources

Work AssignedWork Due

1

Tu

Aug 27

Motivation and the Elements (Constants) of Racket

HTDP Part 1 (Ch 1-8)Sep 03
 ThAug 29[Canceled for Hurricane Laura] Sep 05

2

Tu

Sep 01

Conditionals, Function Definitions and Computation by Reduction

Homework 1

Review Ch 8

HTDP Part 2 (Ch 9-10)

Sep 08
3ThSep 03

The Program Design Recipe for Racket focusing on recursion

on processing lists and natural numbers

Preface, 9.4

HTDP Part 2 (Ch 11-13)

Sep 10

4

Tu

Sep 08

Data Definitions, Data-driven Structural Recursion,

Homework 2

HTDP Part 3

Sep 16
5ThSep 10Mutually Recursive Definitions and Help FunctionsHTDP Ch 15-17Sep 17

6

Tu

Sep 15

Generative Recursion

Homework 3

 HTDP Parts 5-6

Sep 22

7

Th

Sep 17

Accumulators and Tail Recursion

HTDP ?Sep 26

8

TuSep 19

 

Functions as Values and Anonymous FunctionsHomework 4*Oct 6

9

Th

Sep 24

Local Definitions and Lexical Scope

  

10

Tu

Sep 29

Abstracting Computational Patterns as Functions

Homework 5#

Oct 6

11

Th

Oct 01

Macros and Lazy Evaluation;Memoization

  

12

Tu

Oct 06

MemoizationHomework 6Oct 15

13

Th

Oct 08

Racket Review

Mid-term [Oct 09[] 

 

Tu

Oct 13

Midterm Recess (no classes)

  

13

Th

Oct 15

Java Design Recipe & Functional Design Patterns in OOP

OO Design 

14

Tu

Oct 22

Data-driven Structural Recursion in JavaHomework 7Oct 29

15

Th

Oct 24

Anonymous class instances vs anonymous functions

  

16

Tu

Oct 29

Functional Java & OOP as an Extension of FP

Homework 8*Nov 12

17

Th

Oct 31

Pure Lambda Calculus; Call-by-value vs call-by-name

  

18

Tu

Nov 05

Typed Lambda Calculus

Homework 9#Nov 12

19

Th

Nov 07

Polymorphic Lambda Calculus & Implicitly Polymorphic Lambda Calculus

  

20

Tu

Nov 12

Core Haskell (call-by-name)

Homework 10Nov 19

21

Th

Nov 14

Haskell Pattern Matching

  

22

Tu

Nov 19

Haskell Type Classes

Homework 11Dec 16

23

Th

Nov 21

Racket letcc; Semantics of Haskell Exceptions

  

*Assignments marked with * are double assignments that count twice as much as regular assignments.

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