ALR Spring 2021


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    Automated Logical Reasoning!


Logistical Information:

Instructor: Işıl Dillig
Time: Tuesday, Thursday 2-3 pm
Place: Zoom
Instructor e-mail: [email protected]
Instructor office hours: Thursday 3-4 pm
TA: Shankara Pailoor
TA e-mail: [email protected]
TA office hours: Monday 4-5 pm
Reference books (optional): The Calculus of Computation by Aaron Bradley and Zohar Manna;  
Decision Procedures: An Algorithmic Point of View by Daniel Kroening and Ofer Strichman
Course Webpage: http://www.cs.utexas.edu/~isil/cs389L/

Course Description:

Automated logical reasoning has enabled substantial progress in many fields of computer science, including software and hardware verification, theorem proving, program analysis, and artifical intelligence. In this course, we will study widely-used logical theories and decision procedures for answering whether formulas in these theories are satisfiable. In particular, we will consider automated reasoning techniques for propositional logic, first-order logic, linear arithmetic over reals and integers, theory of uninterpreted functions, and combinations of these theories. We will also look at applications of logic in program analysis and verification.

Requirements:

  • Regular class attendance is required. Please email instructor if you will not be able to attend class on a particular day.
  • This course will have a combination of programming assignments and problem sets. Collaboration is not allowed on either.
  • This offering of the course will not have exams.

    Announcements:

  • Our first class will meet on Tuesday, Jan 19.
  • All problem sets and programming assignments will be posted on Piazza .

    Syllabus:

    In the Reading section of the syllabus below, COC refers to the Bradley & Manna Calculus of Computation book, while DP refers to the "Decision Procedures: An Algorithmic Point of Book" by Kroening & Strichman.

    Date Lecture topics Notes Reference
    01/19 Introduction and basics Lecture 1 COC 1.1-1.5
    01/21 Normal forms and DPLL Lecture 2 COC 1.6-1.7
    01/26 CDCL-based SAT Solvers Lecture 3 DP 2.2
    CDCL SAT solvers
    01/28 Free time for programming assignment N/A N/A
    02/02 Practical applications of boolean satisfiability Lecture 4 N/A
    02/04 Binary decision diagrams Lecture 5 Notes on BDDs
    DP 2.3
    02/09 Semantics of First Order Logic Lecture 6 COC 2.1-2.4, COC 2.7
    02/11 Proof rules and properties of FOL Lecture 7 COC 2.6
    02/16 Unification Lecture 8  
    02/18 First-order theorem proving Lecture 9  
    02/23 Overview of First-Order Theories Lecture 10 COC Chapter 3
    02/25 Theory of Equality
    		Lecture 11 COC Chapter 9
    03/02 Free time for programming assignment N/A N/A
    03/04 Linear Arithmetic over Rationals Lecture 12 CLRS Chapter 29
    03/09 Linear Arithmetic over Integers Lecture 13  
    03/11 Nelson-Oppen Lecture 14 COC Chapter 10
    03/16 Spring break    
    03/18 Spring break    
    03/23 DPLL(T) Framework Lecture 15  
    03/25 Hoare Logic Lecture 16  
    03/30 Verification conditions Lecture 17  
    04/01 VCs with functions and pointers Lecture 18  
    04/06 Intro to Dafny N/A  
    04/08 Time for programming assignment    
    04/13 Abstract interpretation Lecture 19  
    04/15 Guess-and-check methods Lecture 20 Houdini
    Abduction
    04/20 Predicate abstraction; CEGAR Lecture 21  
    04/22 Proving (non-)termination Ledture 22  
    04/27 Reasoning about concurrency Lecture 23  
    04/29 Program Synthesis I Lecture 24  
    05/04 Program Synthesis II Lecture 25  
    05/06 Wrap-up