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Course Outline

Introduction

  • What is programming and why it deserves your attention
  • History of programming
  • Opportunities to automate tasks using software
  • The role of programmers and computers in the enterprise
  • Programming today: Current market development trends
  • Declarative and imperative programming: How vs. What?
  • Turing machine
  • Consolidation, compilation, and "just-in-time" interpretation

Review of Logic and Boolean Algebra

  • Predicates
  • Logical sentences
  • Tautologies
  • Boolean algebra

Writing Your First Program

  • Structural approach
  • Functional approach
  • Object-based approach
  • And other methodologies

Primitive Data Types

  • String representation
  • Integers
  • Floating-point numbers
  • Booleans
  • Null type
  • Empty or uninitialized values
  • Strong vs. weak typing

Data Structures

  • FIFO and FILO concepts
  • Stacks
  • Queues
  • Declaring arrays and lists
  • Indexing
  • Maps
  • Records
  • Trees

Operators

  • Assignment operators
  • Arithmetic operators
  • Comparison operators
  • Comparing values across different languages
  • Bitwise operators
  • Concatenation
  • Increment and decrement operators
  • Common errors

Program Control Flow

  • If and else-if instructions
  • Goto instructions and discussion of their application issues
  • Switch statements
  • For loop, for-in
  • While loop, do-while
  • ForeEach loop
  • Loop termination

Creating Reusable Code

  • Functional Programming
  • Object-Oriented Programming

Functional Programming Paradigms

  • What is a function?
  • Functions and procedures
  • Foundations of lambda calculus
  • Function arguments
  • Returning values
  • Functions as arguments
  • Anonymous functions
  • Closures
  • Recursion

Object-Oriented Programming Paradigms

  • Representing real-world entities through philosophy and ontology
  • Determining what constitutes an object or other types
  • Class declaration
  • Creating class instances
  • Fields: Object state
  • Methods: Object behavior
  • Abstraction
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Association and aggregation
  • Delegation and separation of relationships between objects
  • Modules, packages, and libraries
  • Sharing APIs
  • Modeling the system as classes and objects
  • Describing and programming relationships between classes
  • Programming from a business perspective

Best Programming Practices

  • Pitfalls and common errors
  • High-level code interpreted through low-level understanding
  • Code optimization
  • KISS principle
  • DRY principle
  • Worse is Better principle
  • Separating abstraction from implementation
  • Methods for detecting logic errors in programs
  • Naming conventions
  • Code commenting
  • Software metrics

Overview of Technologies and Languages

  • Application domains of these languages
  • Key language features
  • Development prospects
  • Future development directions: Algorithmic trends, code optimization, implementing patterns, design patterns, architectural patterns, and analytical standards
  • Reducing control structures: The use of artificial intelligence and automated decision-making
  • Choosing the right platform: Individual consultations
 35 Hours

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