Problem Solving, Python Programming, and Video Games (Coursera)

Offered by University of Alberta,
Problem Solving, Python Programming, and Video Games (Coursera)

This course is an introduction to computer science and programming in Python. Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout. The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner. However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses.

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

Upon successful completion of this course, you will be able to:

  1. Take a new computational problem and develop a plan to solve it through problem understanding and decomposition.
  2. Follow a design creation process that includes specifications, algorithms, and testing.
  3. Code, test, and debug a program in Python, based on your design.

You do not need any previous programming, Python, or video game experience. However, some computer skills (e.g., mouse, keyboard, document editing), knowledge of algebra, attention to detail (as with many technical subjects), and a “just give it a try” spirit will be keys to your success. Despite the use of video games for all the programming examples, PVG is not about computer games. PVG will still provide valuable knowledge and skills for non-game computational problems.
The interactive learning objects (ILO) of the course provide automatic, context-specific guidance and feedback, like a virtual teaching assistant, as you develop problem descriptions, algorithms, and functional test plans. The course forums will be supported by the creators of the course, to help you succeed.
All videos, assessments, and ILOs are available free of charge. There is an optional certificate available for a fee.

Syllabus

Week 1
Module 0: Introduction
In Module 0, you will meet the instructional team and be introduced to the four themes of this course: computer science, problem solving, Python programming, and how to create video games.

Week 2
Module 1: Design Hacking Version 1
In Module 1, you will explore the game creation process that is used in this course. You will use this process to design Version 1 of the first game, Hacking. You will use two problem-solving techniques: problem decomposition and algorithms. You will explore five criteria for problem decomposition: experiential decomposition, feature selection, problem refinement, spatial decomposition, and temporal decomposition. To create your design for Hacking Version 1, you will use three interactive learning objects: the description builder, functional test plan builder, and algorithm builder.

Week 3
Module 2: Program Hacking Version 1
In Module 2, you will discover how lexics, syntax, and semantics can be used to understand and describe programming languages. You will use these concepts to understand your first Python statement (expression statement), first three Python expressions (literal, identifier, function call), and first five Python types (int, str, float, function, NoneType). You will use these Python constructs to write, test, and debug Hacking Version 1, a text-based game version. You will then reflect on your game version by using a third problem-solving technique called abstraction, including the specific technique of solution generalization, to solve similar problems.

Week 4
Module 3: Hacking Version 2
In Module 3, you will identify solution issues in your game. You will apply a second form of the abstraction problem-solving technique, called using templates, to solve a solution issue by using a graphics library. You will then use lexics, syntax, and semantics to learn two new Python statements (assignment, import), two new Python expressions (binary expression, attribute reference), and one new Python type (module). You will employ these Python constructs and a simple graphics library to write, test, and debug Hacking Version 2.

Week 5
Module 4: Hacking Version 3
In Module 4, you will modify your game design to support multiple gameplay paths using a new problem decomposition criteria called case-based decomposition, which utilizes a selection control structure. You will learn one new Python statement (if), one new Python expression (unary expression), and one new Python type (bool). You will employ these Python constructs to write, test, and debug Hacking Version 3.

Week 6
Module 5: Hacking Version 4 & 5
In Module 5, you will modify your game design using two new abstraction techniques, called control abstraction and data abstraction. You will explore two different control abstractions, called definite and indefinite repetition. You will learn two new Python statements (for, while), four new Python expressions (subscription expression, expression list, parenthesized expression, list display), and three new Python types (tuple, list, range). You will employ these Python constructs to write, test, and debug Hacking Version 4 and Hacking Version 5.

Week 7
Module 6: Hacking Version 6
In Module 6, you will learn a new control abstraction called a user-defined function. You will learn how to implement user-defined functions using two new Python statements (function definition, return). You will employ these Python constructs to significantly improve the quality of your code in Hacking Version 6.

Week 8
Module 7: Hacking Version 7
In Module 7, you will not learn any new problem-solving techniques or Python language features. Instead you will exercise your problem-solving skills and practice the language constructs you already know to improve your proficiency. You will add some fun features to the Hacking game by designing, coding, testing, and debugging Hacking Version 7.

Week 9
Module 8: Poke the Dots Version 1 & 2
In Module 8, you will design and implement Version 1 of a new graphical game called Poke the Dots. You will then modify your game design using data abstraction to create user-defined classes. You will learn two new Python statements (class definition, pass) that will allow you to construct your own Python types. You will employ these Python constructs to implement Poke the Dots Version 2.

Week 10
Module 9: Poke the Dots Version 3
In Module 9, you will not learn any new problem-solving techniques or Python language features. Instead you will exercise your problem-solving skills and practice the language constructs you already know to improve your proficiency. You will add some fun features to the Poke the Dots game by designing, coding, testing, and debugging Poke the Dots Version 3.

Week 11
Module 10: Poke the Dots Version 4
In Module 10, you will modify your game design using a new form of control abstraction called user-defined methods. User-defined methods allow you to restrict access to the attributes of a class to improve data abstraction. You will employ user-defined methods to implement Poke the Dots Version 4.

Week 12
Module 11: Poke the Dots Version 5
In Module 11, you will not learn any new problem-solving techniques or Python language features. Instead you will exercise your problem-solving skills and practice the language constructs you already know to improve your proficiency. You will add some fun features to the Poke the Dots game by designing, coding, testing, and debugging Poke the Dots Version 5.

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

Related Courses

Big Data Analysis with Scala and Spark (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Sep 14th 2026
4 Weeks
Accounting Data Analytics with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Accounting Data Analytics with Python (Coursera)

This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data).

Sep 14th 2026
5-12 Weeks
Learn HTML and CSS (Coursera) Coursera
Scrimba

Learn HTML and CSS (Coursera)

This course is perfect if you want to learn how to code websites from scratch. You will learn the basics of HTML and CSS through interactive challenges. Along the way, you will build multiple projects, like a Google.com clone, a Space Exploration page, and a fun birthday site filled with GIFs. While most of the challenges are done in Scrimba's interactive editor, you will also learn how to use professional tools like VS Code for code editing, GitHub for hosting your code, and Netlify for deploying your projects to the world wide web.

Sep 14th 2026
5-12 Weeks
Creative Programming for Digital Media & Mobile Apps (Coursera) Coursera
University of London,Goldsmiths, University of London

Creative Programming for Digital Media & Mobile Apps (Coursera)

This course is for anyone who would like to apply their technical skills to creative work ranging from video games to art installations to interactive music, and also for artists who would like to use programming in their artistic practice. This course will teach you how to develop and apply programming skills to creative work. This is an important skill within the development of creative mobile applications, digital music and video games. It will teach the technical skills needed to write software that make use of images, audio and graphics, and will concentrate on the application of these skills to creative projects. Additional resources will be provided for students with no programming background.

Sep 14th 2026
5-12 Weeks
Laboratório de Programação Orientada a Objetos - Parte 2 (Coursera) Coursera
Universidade de São Paulo, Brasil

Laboratório de Programação Orientada a Objetos - Parte 2 (Coursera)

Esta é a segunda parte do curso avançado de Programação Orientada a Objetos oferecido pelo Departamento de Ciência da Computação do IME-USP. O curso é voltado para profissionais ou estudantes interessados em Desenvolvimento de Software Avançado e que já dominam uma linguagem de programação e já conhecem os fundamentos básicos da orientação a objetos.

Sep 14th 2026
5-12 Weeks
Selenium WebDriver with Python (Coursera) Coursera
Whizlabs

Selenium WebDriver with Python (Coursera)

“Selenium WebDriver with Python” is a foundational course that aims to provide a comprehensive understanding of Selenium and its components. It also helps in understanding how Selenium WebDriver Operates. This course begins by demonstrating an environment setup for Selenium WebDriver with Python. A brief description of locating Web elements and web Interactions is provided in this course. This course covers an overview of testing frameworks with Selenium WebDriver. Some advanced topics such as Handling Popup, Alerts, Multiple Browser Tabs, Mouse and Keyboard interactions are also highlighted in this course.

Sep 14th 2026
3 Weeks
Machine Design Part I (Coursera) Coursera
Georgia Institute of Technology

Machine Design Part I (Coursera)

“Machine Design Part I” is the first course in an in-depth three course series of “Machine Design.” The “Machine Design” Coursera series covers fundamental mechanical design topics, such as static and fatigue failure theories, the analysis of shafts, fasteners, and gears, and the design of mechanical systems such as gearboxes. Throughout this series of courses we will examine a number of exciting design case studies, including the material selection of a total hip implant, the design and testing of the wing on the 777 aircraft, and the impact of dynamic loads on the design of an bolted pressure vessel. In this first course, you will learn robust analysis techniques to predict and validate design performance and life.

Sep 14th 2026
5-12 Weeks
Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera) Coursera
IBM

Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera)

An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models. This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool, explaining the underlying technology at work as developed by IBM Research.

Sep 14th 2026
4 Weeks
COBOL Programming with VSCode (Coursera) Coursera
IBM

COBOL Programming with VSCode (Coursera)

Professor Tak Auyeung of American River College, said it beautifully, “A programming language is not a fashion statement” it is used for a purpose. Whether it is to add new features, modify logic, create APIs to integrate it into other applications, or implement modern development practices, businesses around the world need application developers who know COBOL.

Sep 14th 2026
3 Weeks