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Course Outline

Introduction

  • Understanding programming and its relevance
  • The history of programming
  • Opportunities for automating tasks through software
  • The role of programmers and computers in business environments
  • Current market trends in programming and development
  • Declarative versus imperative programming: How vs. What?
  • Concepts of the Turing machine
  • Consolidation, compilation, and "just-in-time" interpretation

Review of Logic and Boolean Algebra

  • Predicates
  • Logical statements
  • Tautologies
  • Boolean algebra

Your First Program

  • Structural approaches
  • Functional approaches
  • Object-oriented approaches
  • Other methodologies

Primitive Data Types

  • String representation
  • Integers
  • Floating-point numbers
  • Boolean values
  • Null types
  • 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
  • Value comparison across different languages
  • Bitwise operators
  • Concatenation
  • Increment and decrement operators
  • Common errors

Program Control Flow

  • if and else-if statements
  • Goto statements and their application challenges
  • switch statements
  • for and for-in loops
  • while and do-while loops
  • foreach loops
  • Loop termination

Creating Reusable Code

  • Functional Programming
  • Object-Oriented Programming

Functional Programming Paradigms

  • Understanding functions
  • Functions versus procedures
  • Fundamentals of lambda calculus
  • Function arguments
  • Returning values
  • Functions as arguments
  • Anonymous functions
  • Closures
  • Recursion

Object-Oriented Programming Paradigms

  • Modeling real-world entities in philosophy and ontology
  • Determining objects versus other types
  • Class declarations
  • Creating class instances
  • Fields and object state
  • Methods as object behavior
  • Abstraction
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Association and aggregation
  • Delegation and separation of object relationships
  • Modules, packages, and libraries
  • API sharing
  • System modeling as classes and objects
  • Describing and programming class relationships
  • Programs from a business perspective

Best Practices in Programming

  • Common pitfalls and errors
  • High-level code interpreted at a low level
  • Code optimization
  • The KISS principle (Keep It Simple, Stupid)
  • The DRY principle (Don't Repeat Yourself)
  • The "Worse is Better" principle
  • Separating abstraction from implementation
  • Methods for detecting logical errors in programs
  • Code formatting conventions
  • Code commenting
  • Software metrics

Overview of Technologies and Languages

  • Application domains of these languages
  • Key language features
  • Development prospects
  • Future development directions: algorithmic approaches, code optimization, pattern implementation, design patterns, architectural patterns, and analytical standards
  • Reducing control structures through artificial intelligence and automated decision-making
  • Platform selection: individual consultations
 35 Hours

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