Module #5 Predicate Logic Basics Introduction to predicate logic, predicates, and quantifiers.
Module #6 Predicate Logic:Syntax and Semantics Syntax and semantics of predicate logic, predicate operators, and quantifier rules.
Module #7 Predicate Logic:Inference Rules Introduction to inference rules in predicate logic, universal instantiation, and existential instantiation.
Module #8 Predicate Logic:Formal Proofs Formal proof techniques, proof strategies, and examples in predicate logic.
Module #9 Sets and Relations Introduction to sets, relations, and functions in the context of symbolic logic.
Module #10 Applications of Symbolic Logic:Computer Science Applications of symbolic logic in computer science, including programming languages and artificial intelligence.
Module #11 Applications of Symbolic Logic:Philosophy Applications of symbolic logic in philosophy, including argumentation theory and philosophical logic.
Module #12 Applications of Symbolic Logic:Mathematics Applications of symbolic logic in mathematics, including proof theory and model theory.
Module #13 Modal Logic Basics Introduction to modal logic, modal operators, and Kripke semantics.
Module #14 Modal Logic:Inference Rules Introduction to inference rules in modal logic, including modal modus ponens and modal hypothetical syllogism.
Module #15 Modal Logic:Formal Proofs Formal proof techniques, proof strategies, and examples in modal logic.
Module #16 Description Logics Introduction to description logics, including its syntax, semantics, and applications.
Module #17 Advanced Topics in Symbolic Logic Advanced topics in symbolic logic, including intuitionistic logic, fuzzy logic, and paraconsistent logic.
Module #18 Case Studies in Symbolic Logic Case studies of real-world applications of symbolic logic in various fields.
Module #19 Symbolic Logic and Knowledge Representation Symbolic logic and knowledge representation, including ontologies and the semantic web.
Module #20 Symbolic Logic and Artificial Intelligence Symbolic logic and artificial intelligence, including expert systems and automated reasoning.
Module #21 Symbolic Logic and Natural Language Processing Symbolic logic and natural language processing, including semantic parsing and sentiment analysis.
Module #22 Symbolic Logic and Data Mining Symbolic logic and data mining, including data analysis and knowledge discovery.
Module #23 Symbolic Logic and Cognitive Science Symbolic logic and cognitive science, including cognitive architectures and human reasoning.
Module #24 Symbolic Logic and Philosophy of Language Symbolic logic and philosophy of language, including meaning, reference, and truth.
Module #25 Symbolic Logic and Epistemology Symbolic logic and epistemology, including knowledge, belief, and justification.
Module #26 Implementation of Symbolic Logic Implementation of symbolic logic using programming languages, including Prolog and Python.
Module #27 Symbolic Logic and Machine Learning Symbolic logic and machine learning, including logical neural networks and rule-based systems.
Module #28 Future Directions in Symbolic Logic Future directions in symbolic logic, including new applications and research areas.
Module #29 Symbolic Logic and Human-Computer Interaction Symbolic logic and human-computer interaction, including user modeling and personalized systems.
Module #30 Course Wrap-Up & Conclusion Planning next steps in Symbolic Logic: Foundations and Applications career
