دوره جامع برنامه نویسی Prolog

Chapter 1: Introduction to Prolog
  • Lesson 1: What is Prolog?
  • Lesson 2: History and Evolution of Prolog
  • Lesson 3: Applications and Use Cases of Prolog
  • Lesson 4: Setting Up a Prolog Environment (SWI-Prolog, GNU Prolog, Sicstus, etc.)
  • Lesson 5: Writing and Running Your First Prolog Program
  • Lesson 6: Prolog Syntax Overview
  • Lesson 7: Using Prolog Interactively
Chapter 2: Facts, Rules and Queries
  • Lesson 1: Understanding Facts and Knowledge Representation
  • Lesson 2: Defining Rules in Prolog
  • Lesson 3: Queries and Goal Evaluation
  • Lesson 4: Backtracking and Unification
  • Lesson 5: Understanding the Declarative Paradigm
Chapter 3: Data Types in Prolog
  • Lesson 1: Atoms, Numbers, and Variables
  • Lesson 2: Lists in Prolog
  • Lesson 3: Tuples and Compound Terms
  • Lesson 4: Strings and Characters
  • Lesson 5: Differences Between Atoms and Strings
  • Lesson 6: Anonymous Variables (_)
Chapter 4: Control Flow in Prolog
  • Lesson 1: Understanding Logical Flow
  • Lesson 2: Conditional Statements (if-then-else)
  • Lesson 3: Recursion in Prolog
  • Lesson 4: The Cut Operator (!)
  • Lesson 5: Negation as Failure (\+)
  • Lesson 6: Depth-First Search in Backtracking
Chapter 5: Lists and List Processing
  • Lesson 1: Declaring and Manipulating Lists
  • Lesson 2: Recursively Processing Lists
  • Lesson 3: Membership and Searching in Lists (member/2)
  • Lesson 4: List Concatenation and Splitting
  • Lesson 5: Sorting Lists
  • Lesson 6: Using append/3 and length/2
  • Lesson 7: Removing Duplicates (setof/3 and bagof/3)
Chapter 6: Arithmetic and Comparison Operators
  • Lesson 1: Performing Arithmetic in Prolog (is/2, +, -, *, /)
  • Lesson 2: Integer and Floating Point Numbers
  • Lesson 3: Comparison Operators (<, >, =<, >=, =\=)
  • Lesson 4: Using mod/2, div/2, and Power Functions
Chapter 7: Pattern Matching and Unification
  • Lesson 1: Understanding Unification (=)
  • Lesson 2: Structural Pattern Matching
  • Lesson 3: The Difference Between = and ==
  • Lesson 4: Variable Binding and Instantiation
Chapter 8: Input and Output in Prolog
  • Lesson 1: Writing to the Console (write/1, writeln/1)
  • Lesson 2: Reading User Input (read/1)
  • Lesson 3: File Handling in Prolog
  • Lesson 4: Reading and Writing Files
  • Lesson 5: Formatting Output (format/2)
Chapter 9: Defining and Using Recursion
  • Lesson 1: Introduction to Recursion
  • Lesson 2: Recursive List Processing
  • Lesson 3: Tail Recursion Optimization
  • Lesson 4: Recursive Problem Solving (Factorial, Fibonacci)
Chapter 1: Advanced List Processing
  • Lesson 1: Higher-Order List Operations (maplist/2, foldl/3)
  • Lesson 2: List Comprehensions in Prolog
  • Lesson 3: Advanced Sorting Techniques
  • Lesson 4: Lazy Evaluation in List Processing
Chapter 2: Graphs and Trees in Prolog
  • Lesson 1: Representing Graphs as Facts
  • Lesson 2: Tree Structures and Tree Traversals
  • Lesson 3: Depth-First and Breadth-First Search
  • Lesson 4: Pathfinding Algorithms in Prolog
Chapter 3: Constraint Logic Programming (CLP)
  • Lesson 1: Introduction to Constraint Logic Programming
  • Lesson 2: Defining and Solving Constraints
  • Lesson 3: CLP over Finite Domains (clpfd)
  • Lesson 4: Scheduling and Optimization Problems
Chapter 4: Metaprogramming in Prolog
  • Lesson 1: Understanding Metaprogramming
  • Lesson 2: Writing Prolog Programs that Modify Themselves
  • Lesson 3: Using call/1 and apply/2
Chapter 5: Dynamic Knowledge Bases
  • Lesson 1: Creating and Modifying Facts at Runtime
  • Lesson 2: The assert/1 and retract/1 Predicates
  • Lesson 3: Persistent Storage of Facts
Chapter 6: Debugging and Optimization
  • Lesson 1: Using the Prolog Debugger
  • Lesson 2: Profiling Prolog Programs
  • Lesson 3: Improving Backtracking Efficiency
Chapter 7: Parallel and Concurrent Prolog
  • Lesson 1: Introduction to Parallel Prolog
  • Lesson 2: Multi-threading in Prolog
  • Lesson 3: Parallel Search Algorithms
Chapter 8: Prolog and Databases
  • Lesson 1: Connecting Prolog to SQL Databases
  • Lesson 2: Querying Databases Using Prolog
  • Lesson 3: NoSQL Databases with Prolog
Chapter 9: Web Development with Prolog
  • Lesson 1: Using Prolog for Web Applications
  • Lesson 2: Prolog with HTTP APIs (http_open/3)
  • Lesson 3: Generating Dynamic Web Pages
Chapter 10: Natural Language Processing (NLP) with Prolog
  • Lesson 1: Tokenization and Parsing
  • Lesson 2: Using DCG (Definite Clause Grammars) for NLP
  • Lesson 3: Building a Simple Chatbot
Chapter 11: Machine Learning and AI in Prolog
  • Lesson 1: Basics of AI Programming in Prolog
  • Lesson 2: Decision Trees and Rule-Based Systems
  • Lesson 3: Probabilistic Logic Programming
Chapter 12: Creating Prolog Libraries
  • Lesson 1: Writing Modular Prolog Code
  • Lesson 2: Packaging Prolog Libraries
  • Lesson 3: Versioning and Documentation
Chapter 13: Prolog in Embedded Systems
  • Lesson 1: Running Prolog on Embedded Devices
  • Lesson 2: Interfacing with IoT
Chapter 14: Modern Features in Prolog
  • Lesson 1: New Developments in Recent Prolog Versions
  • Lesson 2: Performance Optimizations in New Releases
مدت دوره: 100 + 20 ساعت

تمامی کدهای Prolog این دوره و همچنین فایلpdf کامل تدریس دوره در اختیار دانشجویانی که در این دوره ثبت نام نمایند، قرار خواهد گرفت. در پایان دوره، یک پروژه عملی به مدت حدود 20 ساعت با همکاری مدرس و دانشجو انجام خواهد شد، که آمادگی کامل برای ورود به بازار کار را ایجاد نماید.
هزینه هر جلسه 1 ساعته تدریس خصوصی برای دوره فوق، برای 1 نفر معادل 350 هزار تومان و برای 2 نفر، هر نفر 250 هزار تومان و برای 3 نفر، هر نفر 200 هزار تومان می‌باشد.
شماره تماس واتساپ و تلگرام: 09124908372 ، 09354908372

پیام شما





















دوره مقدماتی برنامه نویسی Prolog


Chapter 1: Introduction to Prolog
Chapter 2: Facts, Rules and Queries
Chapter 3: Data Types in Prolog
Chapter 4: Control Flow in Prolog
Chapter 5: Lists and List Processing
Chapter 6: Arithmetic and Comparison Operators
Chapter 7: Pattern Matching and Unification
Chapter 8: Input and Output in Prolog
Chapter 9: Defining and Using Recursion

دوره پیشرفته برنامه نویسی Prolog


Chapter 1: Advanced List Processing
Chapter 2: Graphs and Trees in Prolog
Chapter 3: Constraint Logic Programming (CLP)
Chapter 4: Metaprogramming in Prolog
Chapter 5: Dynamic Knowledge Bases
Chapter 6: Debugging and Optimization
Chapter 7: Parallel and Concurrent Prolog
Chapter 8: Prolog and Databases
Chapter 9: Web Development with Prolog
Chapter 10: Natural Language Processing (NLP) with Prolog
Chapter 11: Machine Learning and AI in Prolog
Chapter 12: Creating Prolog Libraries
Chapter 13: Prolog in Embedded Systems
Chapter 14: Modern Features in Prolog
مدت دوره: 100 + 20 ساعت

تمامی کدهای Prolog این دوره و همچنین فایلpdf کامل تدریس دوره در اختیار دانشجویانی که در این دوره ثبت نام نمایند، قرار خواهد گرفت. در پایان دوره، یک پروژه عملی به مدت حدود 20 ساعت با همکاری مدرس و دانشجو انجام خواهد شد، که آمادگی کامل برای ورود به بازار کار را ایجاد نماید.
هزینه هر جلسه 1 ساعته تدریس خصوصی برای دوره فوق، برای 1 نفر معادل 350 هزار تومان و برای 2 نفر، هر نفر 250 هزار تومان و برای 3 نفر، هر نفر 200 هزار تومان می‌باشد.
شماره تماس واتساپ و تلگرام: 09124908372 ، 09354908372

پیام شما