NCLab Python Development 6 Certificate: Object-Orientated Programming and Digital Logic Design (Learn-by-doing, 24/7, Online, Self-Paced, Gamified, Real-Time Instructional Support)

0 credit hours

Credits awarded upon completion

Self-Paced

Progress at your own speed

40 hours

Estimated learning time

About the Course

Description

Python Development 6 (NCLab) Object-Oriented Programming and Digital Logic Design: This is an online, self-paced, learn-by-doing course that bridges software design and foundational computer science concepts. Learners are introduced to Object-Oriented Programming (OOP) by exploring the evolution of programming paradigms, class structures, object instantiation, methods, and encapsulation. They gain hands-on experience creating and managing classes in Python while applying best practices in modular software development. In parallel, Learners simulate logic gates, binary arithmetic, and digital circuits—building up to a virtual 8-bit multiplier—using Python to model how computers "think." Along the way, Learners explore core topics like recursion, conditional expressions, exception handling, and the logic that underpins modern computing systems.

Topics

Foundations of Computer Science and Logic Gates
Simulating Logic Circuits in Python
Binary Multiplication and Virtual Computer Project
Introduction to Object-Oriented Programming (OOP)
Creating and Using Classes in Python
Applied OOP Techniques.

Prerequisites

The REQUIRED prerequisite for this Course is NCLab's Python Development 5.

Sections

Schedule

Asynchronous

Delivery method

Online

$625

Deliverables

0 Credits
Academic Excellence
Earn necessary number of credit hours for completing this content
Professional Program
Launch of Career
Python Development 6 Completion Certificate

Outcomes

Upon completion, you will have skills and knowledge in the following topics: Foundations of Computer Science and Logic Gates; Simulating Logic Circuits in Python; Binary Multiplication and Virtual Computer Project; Introduction to Object-Oriented Programming (OOP); Creating and Using Classes in Python; Applied OOP Techniques.