Get in Touch

Course Outline

Introduction

  • Defining programming and its significance
  • A brief history of programming
  • Opportunities for automating tasks through software
  • The roles of programmers and computers within enterprise environments
  • Current market trends in programming and development
  • Declarative versus imperative programming: How versus What
  • The Turing Machine concept
  • Compilation and interpretation processes, including just-in-time execution

Review of Logic and Boolean Algebra

  • Predicates
  • Logical statements
  • Tautologies
  • Boolean algebra

Your First Program

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

Primitive Data Types

  • String representation
  • Integers
  • Floating-point numbers
  • Boolean values
  • Null types
  • Blank or uninitialized variables
  • Strong versus weak typing systems

Data Structures

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

Operators

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

Control Flow

  • If and if-else statements
  • Goto statements and their associated challenges
  • Switch statements
  • For loops and for-in constructs
  • While and do-while loops
  • ForeEach loops
  • Loop termination strategies

Creating Reusable Code

  • Functional Programming
  • Object-Oriented Programming

Functional Programming Paradigms

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

Object-Oriented Programming Paradigms

  • Modeling real-world entities through philosophy and ontology
  • Deciding when to use objects versus other types
  • Class declaration
  • 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 using classes and objects
  • Describing and implementing relationships between classes
  • Viewing programming from a business perspective

Best Practices in Programming

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

Overview of Technologies and Languages

  • Application domains for these languages
  • Key features of each language
  • Development prospects
  • Future directions: algorithmic development, code optimization, implementing structural and design patterns, and adherence to analytical standards
  • Reducing control structures through artificial intelligence and automated decision-making
  • Choosing the right platform: personalized consultations
 35 Hours

Number of participants


Price per participant

Testimonials (5)

Upcoming Courses

Related Categories