Introduction to Open Source Application Development (Coursera)

Offered by Illinois Tech,
Introduction to Open Source Application Development (Coursera)

This course introduces basic concepts of systems programming using a modern open source language. You will learn to apply basic programming concepts toward solving problems, writing pseudocode, working with and effectively using basic data types, abstract data types, control structures, code modularization and arrays. You will learn to detect errors, work with variables and loops, and discover how functions, methods, and operators work with different data types. You will also be introduced to the object paradigm including classes, inheritance, and polymorphism.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Learning Python has become increasingly popular in recent years, and for a good reason. Python is a versatile programming language that can be used for a wide range of applications, including data science, machine learning, web development, and more. In an introductory Python course such as this, you can expect to learn the basics of Python syntax, data types, control structures, and functions. Learning Python can lead to many career benefits, including increased job opportunities, higher salaries, and the ability to work on exciting and innovative projects. Additionally, adding online courses and certifications to a resume can demonstrate a commitment to professional development and a willingness to learn new skills.
Upon successful completion of this course, you will be able to:

  • Recall and describe software application and development theory and concepts
  • Write, compile, execute, troubleshoot, analyze, evaluate, and resolve simple problems through program coding using Python computer language.
  • Develop, synthesize, and identify important language standard libraries and utilities.
  • Apply data transfer techniques between modules using parameters and return values.
  • Construct applications to use simple files for input and output.
  • Implement arrays as structures to contain data.
  • Use a higher-level programming language to code, test, and debug software designs.
  • Implement concepts of Object Oriented Programming (OOP), inheritance and polymorphism.
  • Describe integration of Graphical User Interfaces (GUIs) and event driven programming.
  • Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions (ABET Computing Criterion 3.1)
  • Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline (ABET Computing Criterion 3.2)
  • Identify and analyze user needs and take them into account in the selection, creation, evaluation, and administration of computer-based systems (ABET IT Criterion 3.6)

Syllabus

Module 1: Introduction to Python and Programming
Welcome to Introduction to Open Source Application Development! In this module, you will learn to install and configure Python and Visual Studio Code (VSC). You will gain proficiency in programming fundamentals, including declaring variables, describing data types, and implementing programming logic using flowcharts and pseudocode. Additionally, you will acquire the skills to perform arithmetic operations and effectively work with code in Visual Studio Code, culminating in the ability to upload your coding results to the appropriate platform.

Module 2: Sequential Control Structures, Basic Input/Output, Type Conversions
Module 2 focuses on essential programming concepts and skills. You will learn to format output effectively, leveraging various techniques to present data clearly. Additionally, you will explore the importance of type conversion functions and how to use them proficiently. Finally, you will gain an understanding of the sequential flow of a program, mastering the art of designing programs that interact with users through input and output statements.

Module 3: Decision Control Structure (Logical Statements)
In this module, you will learn how to utilize decision alternatives and construct decision structures using conditional statements like 'if' conditions. This essential skill will enable you to create dynamic and responsive programs that adapt their behavior based on specific conditions and criteria.

Module 4: Repetition Control Structure, Logical Statements cont.
In this module, you will learn how to construct nested loops to handle complex repetitive tasks efficiently. Additionally, you'll gain proficiency in constructing both 'For' and 'While' loops, empowering you to create versatile and optimized code for various scenarios, from iterative calculations to data processing.

Module 5: Functions and Program Modularity, Common Library Packages, Debugging
This module is designed to enhance your programming skills by focusing on key areas. You'll learn the art of debugging source code, equipping you with the ability to identify and resolve errors effectively. You will explore how to work with imported modules, expanding your code's functionality. And lastly, you'll delve into defining and implementing user-defined functions, enabling you to organize and streamline your code while building reusable blocks of logic for various applications.

Module 6: List Processing, File IO Processing
In this module, you will explore essential data manipulation skills. You will learn how to efficiently read and write data to and from files, a critical aspect of real-world data processing. Additionally, you'll master list manipulation techniques, including list slicing, and expand your capabilities by creating lists, including multidimensional ones, enabling you to handle and analyze structured data effectively.

Module 7: Object Oriented Programming (OOP) including Inheritance, UML
In this module, you will dive into object-oriented programming (OOP) principles and practices. You will demonstrate your understanding of unified modeling through UML class diagramming, a crucial skill for designing and visualizing software systems. You will also learn how to harness the power of inheritance to build upon existing classes, and you will create your own classes and class objects, paving the way for modular, efficient, and scalable software development.

Module 8: Crafting Graphical User Interfaces (GUI)
In this module, you will learn how to leverage the Tkinter module to create your own customized GUIs, giving you the ability to design user-friendly software interfaces. Furthermore, you will gain an understanding of the fundamental building blocks of GUIs as you describe and work with basic controls that constitute an interactive and visually engaging user interface.

Summative Course Assessment
This module contains the summative course assessment that has been designed to evaluate your understanding of the course material and assess your ability to apply the knowledge you have acquired throughout the course. Be sure to review the course material thoroughly before taking the assessment.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

IBM z/OS Rexx Programming (Coursera) Coursera
IBM

IBM z/OS Rexx Programming (Coursera)

This course is designed to teach you the basic skills required to write programs using the REXX language in z/OS. The course covers the TSO extensions to REXX and interaction with other environments such as the MVS console, running REXX in batch jobs, and compiling REXX. A total of 11 hands-on labs on an IBM Z server (via remote Skytap access) are part of this course.

Aug 10th 2026
5-12 Weeks
Principles of Computing (Part 2) (Coursera) Coursera
Rice University

Principles of Computing (Part 2) (Coursera)

This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class.

Aug 10th 2026
4 Weeks
C# for .NET Developers (Coursera) Coursera
Board Infinity

C# for .NET Developers (Coursera)

In this course you will be introduced to everything from the basics of programming concepts like variables, data types, and control structures, to more advanced topics like object-oriented programming, etc. By the end of the course, you'll have a solid understanding of C# programming, the .NET framework, and how to use them to build a variety of applications. You'll have the skills and knowledge you need to start your career as a C# developer or take your current skills to the next level.

Aug 10th 2026
3 Weeks
Algorithmic Thinking (Part 1) (Coursera) Coursera
Rice University

Algorithmic Thinking (Part 1) (Coursera)

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Aug 10th 2026
4 Weeks
Visualization for Data Journalism (Coursera) Coursera
University of Illinois at Urbana-Champaign

Visualization for Data Journalism (Coursera)

While telling stories with data has been part of the news practice since its earliest days, it is in the midst of a renaissance. Graphics desks which used to be deemed as “the art department,” a subfield outside the work of newsrooms, are becoming a core part of newsrooms’ operation. Those people (they often have various titles: data journalists, news artists, graphic reporters, developers, etc.) who design news graphics are expected to be full-fledged journalists and work closely with reporters and editors.

Aug 10th 2026
5-12 Weeks
Programming Languages, Part A (Coursera) Coursera
University of Washington

Programming Languages, Part A (Coursera)

This course is an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. The course uses the languages ML, Racket, and Ruby as vehicles for teaching the concepts, but the real intent is to teach enough about how any language “fits together” to make you more effective programming in any language -- and in learning new ones.

Aug 10th 2026
5-12 Weeks
Applied Plotting, Charting & Data Representation in Python (Coursera) Coursera
University of Michigan

Applied Plotting, Charting & Data Representation in Python (Coursera)

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework.

Aug 10th 2026
4 Weeks
An Introduction to Interactive Programming in Python (Part 1) (Coursera) Coursera
Rice University

An Introduction to Interactive Programming in Python (Part 1) (Coursera)

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Aug 10th 2026
5-12 Weeks