|Term 1 (Fall), 2018-2019|
|Mon. & Wed. 3:00pm - 4:30pm|
|Office: ICICS 387|
|Office hours: To Be Determined|
This course is intended for graduate students in computer science. There are no formal course prerequisites, but you are expected to have the kind of mathematical maturity typical of one who has taken an undergraduate discrete math or theory of computation course. We will explicitly cover proof techniques in this course, so don't worry if you are rusty or not very familiar. Here are some resources I find helpful for refreshing or improving your skill at writing proofs:
To facilitate discussion among students in the class and
myself, we are using the Piazza Q&A platform. The system
allows you to ask questions, refine answers as a group, carry
on followup discussions, and disseminate relevant information.
Rather than emailing questions to me, I ask that you post your
questions to Piazza. If you have any problems or feedback for
the developers, email firstname.lastname@example.org.
Find our class page here .
This course has no required textbook. Material will be primarily be provided in a set of notes and/or covered in class, as well as through some supplementary readings. The material we cover will draw from a variety of sources.The following books are recommended but not required:
There will be an in-class midterm exam (date TBD).
Students will give a final presentation to the class on a topic of their own choosing related to Programming Language Principles.
There will be approximately 6 homework assignments during
the course of the semester.
I recommend that homeworks be typeset using the LaTeX
document preparation system, but will not require it:
you have the option to prepare your homework by hand, so long
as you make sure that it is clearly legible by me. I plan to
provide LaTeX templates for you, so this is a good chance to
learn one of the more common tools for writing academic
computer science papers, though the learning curve may be
steep at first. I'm happy to give guidance on how to work
with LaTeX (though I probably don't know all the latest tricks).
You can turn in assignments electronically as PDF's either
scanned or generated by LaTeX.
Assignments must be your individual work. You may discuss the homeworks with others, but you must write up and hand in your own solutions. In particular, follow the whiteboard policy: at the end of the discussion the "whiteboard" must be erased and you must not transcribe or take with you anything that has been written on the board (or elsewhere) during your discussion. You must be able to reproduce the results solely on your own after any such discussion.
Do not draw upon solutions to assignments (or in notes) from similar courses, nor use other such materials (e.g., programs) from any web site or other external source in preparing your work.
The final grade will be comprised of the following components, with the following plan for distribution of marks (subject to revision):
The following resources are to help you succeed in the class.
The following is a draft course schedule, based on a prior offering of the course. The exact details (including some topics) will vary depending on the content covered in class and the interests and needs of the students (and myself).
I often update the notes as the term goes along. They are timestamped, so that you can tell when the most recent version was uploaded (note that the timestamp is distinct from the original date of creation).Under Construction!
Modeling Programming Languages;
Set Theory and Logic
B: A Language with many programs and few results
Proof by Induction
Proof by Induction
Proving Something False
First-Order Set Theory
Proof Techniques (Structure follows Proposition)
Proving Something False
The Truth™ About Inductive Definitions and Induction Principles
Video on Operational Semantics: (Ron Out Of Town: ICFP)
Guest Lecturer (Ron Out Of Town: ICFP)
Syntax: Parsing as Proof Search
From Inversion Lemmas to Implementations
|8||Oct||1||Proofs are Programs (Certifying Interpreters)|
You Can't Even Define All The Functions (?!?)
Inter-Relating Operational Semantics Styles
|8||Thanksgiving: No Class|
Lexical Variables 1
Review of Inversion Lemmas
Lexical Variables 2
|Lecture 10 Notes|
|12||17||(Bound Variable) Names Are For Gravestones: α-equivalence classes||Lecture 10 Notes|
|13||22||Procedures and Recursion||
Choose Your Own Induction Principle|
Variable Scoping and Environments
Induction Gone Wild!
Lexical Scoping vs. Dynamic Scoping
Store-Passing Semantics and Mutable References
Proper Tail Calls
Abstracting Abstract Syntax (Gödel Numbering)
|19||12||Remembrance Day: No Class|
Boyan: Automatic Differentiation
Chris: Action Semantics
Nabil: Undefined Behaviour in C
|18||26||Adam and Wilder: Pi Calculus||
|19||28||Nico and Renato: Session Types||Slides|
Last modified: Mon Dec 06:52:44 UTC 2018 by ronaldgarcia