Automated Reasoning: Theory and Application Course
Program Overview
COM SCI XLC 264A: Automated Reasoning: Theory and Applications introduces students to the theory and practice of automated reasoning using propositional and first-order logic. The course covers topics such as syntax and semantics of formal logic, algorithms for logical reasoning, and applications in various fields. Students will gain hands-on experience through laboratory sessions and explore the impact of syntactic and semantic restrictions on knowledge bases.
Program Outline
Outline:
Automated Reasoning: Theory and Applications
-Course Overview:
Introduction to theory and practice of automated reasoning using propositional and first-order logic. Topics include syntax and semantics of formal logic; algorithms for logical reasoning, including satisfiability and entailment; syntactic and semantic restrictions on knowledge bases; effect of these restrictions on expressiveness, compactness, and computational tractability; applications of automated reasoning to diagnosis, planning, design, formal verification, and reliability analysis.
-Course Structure and Schedule:
Lecture: four hours; laboratory, four hours; outside study, four hours.
-Modules:
- Syntax and semantics of formal logic
- Algorithms for logical reasoning
- Satisfiability and entailment
- Syntactic and semantic restrictions on knowledge bases
- Effect of these restrictions on expressiveness, compactness, and computational tractability
- Applications of automated reasoning to diagnosis, planning, design, formal verification, and reliability analysis
UCLA Extension
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UCLA Extension is a renowned continuing education institution affiliated with the University of California, Los Angeles (UCLA). It offers a wide range of courses, certificates, and specializations designed for professional development, career advancement, and personal enrichment.
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UCLA Extension offers a variety of learning formats, including online, in-person, and hybrid options, catering to diverse schedules and preferences.Career Advancement:
Certificates and specializations can enhance career prospects and open doors to new opportunities.Personal Enrichment:
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Outline:
Automated Reasoning: Theory and Applications
-Course Overview:
Introduction to theory and practice of automated reasoning using propositional and first-order logic. Topics include syntax and semantics of formal logic; algorithms for logical reasoning, including satisfiability and entailment; syntactic and semantic restrictions on knowledge bases; effect of these restrictions on expressiveness, compactness, and computational tractability; applications of automated reasoning to diagnosis, planning, design, formal verification, and reliability analysis.
-Course Structure and Schedule:
Lecture: four hours; laboratory, four hours; outside study, four hours.
-Modules:
- Syntax and semantics of formal logic
- Algorithms for logical reasoning
- Satisfiability and entailment
- Syntactic and semantic restrictions on knowledge bases
- Effect of these restrictions on expressiveness, compactness, and computational tractability
- Applications of automated reasoning to diagnosis, planning, design, formal verification, and reliability analysis
