technifyed

Northeastern University via Coursera

Application Engineering and Development Part 1

Overview

This course is an introduction to the Java programming language and the concepts of object-oriented design. It not only covers the fundamentals of programming in Java, but it also brings in the concepts of object-oriented design. Topics include, but are not limited to, fundamentals of programming in Java, classes and methods, objects and references, overloading, inheritance, polymorphism, abstract classes and interfaces, basic data structures, and GUI applications. Students are expected to apply learned knowledge to address an identified problem found in the real world.

Syllabus 7

  1. Module 1: Fundamentals of Programming — Part 1 4 hours

    This introductory module establishes the foundational knowledge necessary for effective software development by combining core programming concepts with practical design methodologies. You will explore fundamental design principles and object-oriented programming paradigms that form the backbone of…

  2. Module 2: Fundamentals of Programming — Part 2 4 hours

    This module introduces students to Java programming fundamentals and object-oriented design through hands-on application development. Students will learn to create Java classes and objects, understanding how to define and work with instance variables, methods, and the differences between static and…

  3. Module 3: Object-Oriented Programming - Part 1 5.5 hours

    This module represents a crucial transition point in your Java programming journey, where you'll move beyond basic programming concepts to explore more sophisticated data management and visualization techniques. Building upon foundational object-oriented principles, module 3 introduces you to essen…

  4. Module 4: Object-Oriented Programming - Part 2 2.5 hours

    Building upon your foundational understanding of classes and objects, this module will take you deeper into the heart of object-oriented programming by exploring how objects interact with methods and how to think systematically about object design. You'll learn about the intricacies of passing obje…

  5. Module 5: Inheritance and Polymorphism 9 hours

    In this module we will focus on inheritance, polymorphism, and access modifiers. You'll discover how to create robust class hierarchies using superclasses and subclasses, master the intricacies of constructor chaining, and learn to leverage polymorphism for flexible and maintainable code. Additiona…

  6. Module 6: Exploring Abstract Classes 1.5 hours

    Welcome to Module 6, where you'll dive into abstract classes. In this module, you'll discover how abstract classes serve as blueprints for creating well-structured class hierarchies while enforcing specific implementation requirements in subclasses. Through a deep exploration of abstract methods, i…

  7. Module 7: The University Model 1.5 hours

    In this module, you'll step into the role of a software architect designing a comprehensive digital university system that manages students, courses, faculty, and administrative processes. You'll begin by understanding how complex software systems are architected, then apply object-oriented princip…

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Self-paced: start any time.
  • A clear syllabus (7 parts) you can see before you start.
  • Hands-on: you build or practise, not just watch.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Kal Bugrara
  • Kaleigh Sieczkowski

Northeastern University is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (74/100).

Similar courses

Compare these

Massachusetts Institute of Technology · YouTube

MIT 6.01SC Introduction to EECS I

Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…

Free video27 videos, 17 hours

Harvard University · edX

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Free to audit5 weeks, 2 - 4 hours per week

Harvard University · edX

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

Free to audit8 weeks, 3 - 5 hours per week

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Harvard University · edX

Data Science: Building Machine Learning Models

4.4133 ratings

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Free to audit8 weeks, 2 - 3 hours per week

Harvard University · edX

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Free to audit10 weeks, 3 - 6 hours per week

Enter your email and the official page opens. Phone is optional.