15-814 Types and Programming Languages
Fall 2018 |
Frank Pfenning |
TuTh 10:30-11:50 |
GHC 4307 |
12 units |
First lecture will be Tue Sep 4 |
This graduate course provides an introduction to programming languages
viewed through the lens of their type structure.
Prerequisites: This is an introductory graduate
course with no formal prerequisites, but an exposure to various forms
of mathematical induction will be helpful. Enterprising undergraduates
and masters students are welcome to attend this course.
Prior Versions of This Course
Class Material
Course Information
Lectures |
Tu Th 10:30-11:50, GHC 4307 |
Instructuor |
Frank Pfenning, fp@cs
Office Hours Fri 12noon-1:00pm, GHC 6017
|
Teaching Assistant |
Ryan Kavanagh, rkavanagh@cs
Office Hours Wed 10:00am, GHC 6207
|
Course Communication |
piazza.com/cmu/fall2018/15814 |
Textbook and Notes |
Robert Harper,
Practical Foundations for Programming Languages (Second Edition),
Cambridge University Press, April 2016.
Additional notes may be posted on the schedule page.
|
Credit |
12 units |
Grading |
60% Homework, 15% Midterm, 25% Final |
Homework |
Homework assignments are posted on the assignments page.
|
Midterm |
Thu Oct 18, in class.
Closed book.
|
Final |
Thu Dec 13, 5:30pm-8:30pm, POS 153
Closed book.
|
Home |
http://www.cs.cmu.edu/~fp/courses/15814-f18/ |
Learning objectives:
After taking this course, students will be able to
-
define programming languages via their type system and operational
semantics
-
draw from a rich set of type constructors to capture essential
properties of computational phenomena
-
state and prove the preservation and progress theorems or exhibit
counterexamples
-
recognize and avoid common fallacies in proofs and language design
-
write small programs to illustrate the expressive power
and limitations of a variety of type constructors
-
state and prove properties of individual programs based on their
semantics or exhibit counterexamples
-
critique programming languages and language constructs
based on the mathematical properties they may or may not
satisfy
-
appreciate the deep philosophical and mathematical underpinnings
of programming language design
Core topics:
- Static and dynamic semantics
- Preservation and progress
- Hypothetical judgments and substitution
- Propositions as types, natural deduction, sequent calculus
- The untyped lambda-calculus
- Functions, eager and lazy products, sums
- Recursive types
- Parametric polymorphism, data abstraction, existential types
- K machine, S machine, substructural operational semantics
- Message-passing concurrency, session types
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fp@cs
Frank Pfenning
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