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Noel J. Bergman

In Object-Oriented Concepts, we will introduce the core concepts behind modern, object-oriented, programming. We will discuss objects, classes, messaging, inheritance, polymorphism, and more. As with Fundamentals of Programming, we will illustrate the concepts using the Python language, but they will be portable to other object-oriented programming languages.

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What's inside

Syllabus

Introduction to Object-Oriented Concepts and Design
This module will introduce the core concepts of Object-Oriented Programming, and will briefly contrast a procedural, structured, programming approach with an object-oriented approach.
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Object-Oriented Concepts
This module will delve more deeply into object-orientation, discussing classes, objects, encapsulation, messaging, inheritance, polymorphism, and other relationships.
Visual Modeling with UML
This module gives an overview of UML, and looks more closely at the UML Class Diagram, which is used in many LearnQuest courses.
Object-Oriented Development
This module starts by discussing a process of going from design documents to object-oriented code, and concludes by taking our objects to the network, so that we finish with distributed solutions built from objects.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches object-oriented concepts, which is an industry standard in software development
Develops skills in object-oriented design and programming, which are core skills for software engineering
Provides a foundation in Python, which is a popular and versatile programming language for object-oriented development
Emphasizes the importance of object-oriented design principles, such as encapsulation and inheritance, which are essential for building well-structured and maintainable code
Covers advanced topics such as polymorphism and UML modeling, which are valuable for software architects and designers
Taught by Noel J. Bergman, a recognized expert in object-oriented programming and software architecture

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Object-Oriented Programming Concepts with these activities:
Identify the major concepts of OOP
Enhance your understanding of the foundational concepts of OOP, making it easier to grasp the advanced topics covered in the course.
Browse courses on OOP Concepts
Show steps
  • Review notes or textbooks on OOP fundamentals
  • Complete online tutorials or interactive exercises on OOP concepts
Explore Python's OOP features
Gain practical experience applying OOP principles in Python, solidifying your understanding of the concepts discussed in class.
Browse courses on Python Programming
Show steps
  • Follow online tutorials or documentation on Python's OOP features
  • Experiment with Python code to implement OOP concepts
Review 'Head First Object-Oriented Analysis and Design'
Complement your understanding of OOP concepts by reviewing a comprehensive book on the subject, providing additional perspectives and insights.
Show steps
  • Read the book thoroughly, taking notes and highlighting key concepts
  • Complete exercises or discussion questions to reinforce your understanding
Four other activities
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Discuss OOP design patterns with peers
Engage in discussions with peers to explore various OOP design patterns, expanding your understanding of how to structure and design OOP code effectively.
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  • Form a study group or connect with classmates online
  • Choose a specific OOP design pattern to discuss and research
  • Present your findings and engage in discussions with peers
Solve programming exercises on OOP topics
巩固你对 OOP 概念的理解并提高你的编程技能,通过解决一系列与 OOP 相关的编程练习。
Browse courses on Problem Solving
Show steps
  • 查找在线编码平台或书籍,提供对 OOP 主题的挑战
  • Attempt to solve the exercises independently, referring to course materials for support
  • Review your solutions and identify areas for improvement
Develop a Python project demonstrating OOP
Apply your OOP knowledge by creating a practical project, reinforcing the concepts covered in the course and developing your problem-solving abilities.
Browse courses on Python Programming
Show steps
  • Identify a project idea that showcases OOP principles
  • Design the project architecture and implement OOP concepts
  • Test and debug the project to ensure it meets requirements
Contribute to an open-source OOP project
Gain real-world experience in OOP development by contributing to an open-source project, collaborating with others and enhancing your understanding of industry practices.
Browse courses on Open Source
Show steps
  • Identify an open-source OOP project that aligns with your interests
  • 熟悉项目的代码库和贡献指南
  • Implement a new feature or fix a bug in the project

Career center

Learners who complete Object-Oriented Programming Concepts will develop knowledge and skills that may be useful to these careers:
Computer Science Instructor
Computer Science Instructors teach programming and computer science concepts to students at all levels. This course will provide you with a solid foundation in computer science, including object-oriented programming, data structures, and algorithms. With its focus on Python, this course is an excellent starting place for a successful career as a Computer Science Instructor.
Mobile Application Developer
Mobile Application Developers design and develop mobile applications. This course will teach you the fundamentals of mobile application development, including Android and iOS development. With its focus on object-oriented programming, this course will help you to develop the skills you need to succeed as a Mobile Application Developer.
Web Developer
Web Developers design and develop websites. This course will teach you the fundamentals of web development, including HTML, CSS, JavaScript, and Python. With its focus on object-oriented programming, this course will help you to develop the skills you need to succeed as a Web Developer.
Database Administrator
Database Administrators design, implement, and maintain databases. This course will teach you the fundamentals of database administration, including database design, data security, and data backup and recovery. With its focus on object-oriented programming, this course will help you to develop the skills you need to succeed as a Database Administrator.
Software Engineer
Building on the fundamentals of computer science, Software Engineers design, develop, test, deploy, and maintain software systems. Object-Oriented Concepts lays the foundation for many of the skills used by Software Engineers, and this course will introduce you to the core concepts used on the job, including classes, objects, messaging, inheritance, and polymorphism.
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course will teach you the fundamentals of data analysis, including data mining, data visualization, and statistics. With its focus on object-oriented programming, this course will help you to develop the skills you need to succeed as a Data Analyst.
Software Tester
Software Testers test software to ensure that it meets the requirements and specifications. This course will teach you the fundamentals of software testing, including test planning, test execution, and bug reporting. With its focus on object-oriented programming, this course will help you to develop the skills you need to succeed as a Software Tester.
Systems Engineer
Systems Engineers design, develop, and maintain computer systems and networks. This course will provide you with a solid foundation in computer science, including object-oriented programming, data structures, and algorithms. With its focus on Python, this course is an excellent starting place for a successful career as a Systems Engineer.
Computer Systems Analyst
Computer Systems Analysts analyze and design computer systems to meet the needs of businesses. This course will introduce you to the key principles of computer systems and software design, and will teach you how to use object-oriented programming to develop software solutions for a variety of business needs.
Information Technology (IT) Specialist
Information Technology Specialists configure, deploy, and maintain computer systems and applications, and provide technical support to users. This course will introduce you to the fundamentals of computer systems and networks, and will teach you how to use object-oriented programming to develop software solutions for a variety of IT needs.
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract insights from data in various forms, both structured and unstructured. This course will help you understand how to use computer science concepts to solve real-world problems, and will introduce you to the key concepts of object-oriented programming that Data Scientists use every day.
Information Security Analyst
Information Security Analysts plan and implement security measures to protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course will introduce you to the fundamentals of information security and will teach you how to use object-oriented programming to develop security solutions for a variety of threats.
Product Manager
Product Managers are the link between customers and the software development team, and an understanding of programming concepts is increasingly important in this field. This course will teach you the basics of object-oriented programming, which will help you to make better decisions about the software that your team builds.
Programmer Analyst
A Programmer Analyst combines computer science concepts with knowledge of business processes to create systems or solve specific problems. This course will lay the foundation for the computer science concepts a Programmer Analyst uses every day, including object-oriented programming, computer architecture, data structures, and more. With its focus on Python, this course is an excellent starting place for a successful career as a Programmer Analyst.
Technical Writer
Technical Writers create instructional materials, such as manuals, articles, and training materials, for software and other technical products. This course will teach you how to write clear and concise technical documentation, and will introduce you to the key concepts of object-oriented programming that are used in many software products.

Reading list

We've selected 16 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Object-Oriented Programming Concepts.
Classic in the field of object-oriented programming. It provides a comprehensive catalog of design patterns, which are reusable solutions to common problems in software development. The patterns are organized by category, and each pattern is described in detail, with examples and code.
Provides a comprehensive introduction to object-oriented design and analysis. It covers the principles and practices of object-oriented design, and it provides guidance on how to apply these principles to real-world problems.
Provides a collection of practical tips and techniques for writing clean and maintainable code. It covers a wide range of topics, from basic principles to advanced techniques such as refactoring and design patterns.
Provides a deep dive into the Python language. It covers a wide range of topics, from basic syntax to advanced features such as decorators and metaclasses.
Provides a comprehensive and accessible introduction to object-oriented programming in Python. It covers the core concepts of object-oriented programming, such as classes, objects, and inheritance, as well as more advanced topics such as polymorphism and design patterns.
Provides a concise and accessible reference to the Python language. It covers a wide range of topics, from basic syntax to advanced features such as decorators and metaclasses.
Provides a practical and engaging introduction to object-oriented analysis and design. It covers the entire development process, from requirements gathering to testing and deployment, and it uses a variety of real-world examples to illustrate the concepts.
Provides a practical introduction to design patterns in Python. It covers a wide range of design patterns, and it provides guidance on how to use these patterns to solve common problems in software development.
Provides a collection of practical tips and techniques for writing better Python code. It covers a wide range of topics, from basic syntax to advanced design patterns.
Provides a practical introduction to test-driven development (TDD) in Python. It covers the principles and practices of TDD, and it provides guidance on how to write effective tests.
Provides a collection of recipes for solving common problems in Python. It covers a wide range of topics, from basic tasks to advanced programming techniques.
Provides a comprehensive and accessible introduction to Python 3. It covers the basics of Python, as well as more advanced topics such as object-oriented programming and data structures.
Provides a practical introduction to Python programming. It covers a wide range of topics, from basic syntax to advanced features such as web scraping and data analysis.
Provides a comprehensive introduction to Scrum, an agile software development framework. It covers the principles and practices of Scrum, and it provides guidance on how to implement Scrum in a variety of settings.

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