problem solving python programming and video games

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Problem Solving, Python Programming, and Video Games

119 ratings, university of alberta, about this course, this course is an introduction to computer science and programming in python. 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. 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. 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..

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.

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.

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.

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.

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.

Module 5: Hacking Version 4 & 5   

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.

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.

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.

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.

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.

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.

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Problem Solving, Python Programming, and Video Games

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too many quits ask in one review

Too many quits ask you to analysis Semantics problems of stupid codes- Who cares?

stupid codes- who cares in one review

whole thing broken down in one review

I feel like if I could see the whole thing broken down as on one page (like an x-bar diagram in linguistics), it would all be obvious.

does use embedding well in one review

The builder does use embedding well, but something about it is not quite obvious.

issues.i also must say in one review

The help of one of the staff (Jullienne) was so helpful in finally getting through one of these issues.I also must say that some of the most challenge I faced was in the algorithm builder.

hints are sometimes oddly in one review

Something about it is just not intuitive and the hints are sometimes oddly misleading.

analysis semantics problems in one review

approaching different types in one review

I feel this gave me a nice grounding in the workings of the Python interpreter and I have a good idea about how to go about approaching different types of programming challenges.I did encounter some challenges along the way with some of the testing items, especially toward the end of the course.

challenges.i did encounter in one review

follow up questions in one review

I'm pretty disappointed in myself for that, but I guess I will just have to accept it.Anyway, thank you so much and please feel free to contact me with any follow up questions on my experience.

also pygame in one review

Also PyGame doesn't work in a number of GUI's (including IDLE), making the course significantly more difficult to complete.

but since in one review

But since you can't see all the parts at the same time, it's hard to remember the other variables that are going on off-screen.

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Problem Solving, Python Programming, and Video Games

>>CLICK HERE TO GO TO COURSERA

This course is an introduction to computer science and programming in Python. 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.

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.

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.

UAlberta is considered among the world’s leading public research- and teaching-intensive universities. As one of Canada’s top universities, we’re known for excellence across the humanities, sciences, creative arts, business, engineering and health sciences.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

I have learnt a lot from this course and it is what i need as well. I do really appreciate that you guys allow me to have this course thank you so much.

This Course was very interesting to complete. It taught me many problem solving techniques, and had a great time to learn Python programming.

As a postgraduate student, I find this course very interesting. I like their way of conveying. Thank you coursera.

it is very good for students that interested in game industry and want to improve problem solving skills

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What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page – from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

Is financial aid available?

Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the “Enroll” button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

What resources can I access if I take this course for free?

All learners can access all the videos, assessments, interactive learning objects (ILO), virtual machine (VM) image, and forums for free.

Can I take this course for university credit?

No. The PVG course by itself does not qualify for credit.

Getting course credit from the University of Alberta requires a learner to apply to the University as either a degree or an open-studies student. Once accepted, a student must enrol, and attend classes and labs on-campus. For such students, PVG can be used as part of a for-credit introductory course to computer science and programming, called Computing Science (CMPUT) 174, Introduction to the Foundations of Computing, Part 1.

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Problem Solving, Programming, and Video Games

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Looking to get started in the video game industry? PVG will teach you the fundamentals of computer programming and problem solving and give you a basic skillset to help launch your journey in the world of video game development with Python.

This course is an introduction to computer science and programming in Python. Upon successful completion of this course, you will be able to:

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

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.

You can enroll in the course through Coursera.

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Problem Solving, Python Programming, and Video Games

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This course is an introduction to computer science and programming in Python. 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.

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.

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.

Instructor(s)

U.S. News & World Report Education takes an unbiased approach to our recommendations. When you use our links to buy products, we may earn a commission but that in no way affects our editorial independence.

Problem Solving, Python Programming, and Video Games

About this course.

This course is an introduction to computer science and programming in Python. 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. 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. 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.

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Problem Solving, Python Programming, and Video Games

Course description.

"Problem Solving Python Programming and Video Games" is a dynamic and engaging course that teaches students the art of programming through the lens of video games. This course is perfect for anyone who wants to learn how to code in Python and is interested in applying those skills to game design. The course begins by introducing students to the basics of Python programming, including variables, loops, functions, and conditionals. Students will learn how to use Python to create simple programs that can perform calculations, manipulate text, and interact with the user. As students gain proficiency in Python, they will start to apply their programming skills to game development. The course uses popular game engines like Pygame to teach students how to build their own video games from scratch. Students will learn how to create game objects, implement game mechanics, and design levels. Throughout the course, students will be challenged to solve complex programming problems that are specifically designed to test their problem-solving skills. They will learn how to debug their code, test for errors, and implement effective solutions to challenging programming problems. The course also includes numerous hands-on projects that allow students to apply their programming skills to real-world scenarios. For example, students will build a calculator, create a chatbot, and develop a simple AI program. In addition to its focus on Python programming and game development, the course also emphasizes important soft skills like teamwork, communication, and creativity. Students will have the opportunity to work on group projects and collaborate with their peers to create innovative solutions to challenging problems. By the end of the course, students will have developed a solid understanding of Python programming, game development, and problem-solving. They will be equipped with the skills and knowledge they need to pursue a career in software development, game design, or any other field that requires strong programming skills. Whether you are an aspiring game developer or simply interested in learning to code, "Problem Solving Python Programming and Video Games" is an excellent choice. Author: Duane Szafron, Paul Lu (Coursera)

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Problem Solving Python Programming and Video Games at University of Alberta, Edmonton

Enroll in this programme and become an expert in designing algorithms and creating video games using the Python programming language.

Quick Facts

Course overview.

The Problem Solving, Python Programming, and Video Games training course by Coursera is an introductory programme in the field of Python programming and computer science. The programme places heavy emphasis on computer science techniques and methods such as problem decomposition, problem-solving (computational thinking), algorithms, software quality, and abstraction.

Moreover, the Problem Solving, Python Programming, and Video Games programme use the medium of video games through the Python programming language to help you consolidate various computer science techniques you have learnt throughout the programme. But the concepts are not limited to the domain of video games. Candidates can apply them to multiple other functions such as software development, machine learning, artificial intelligence, and more.

Also, the participants of the Problem Solving, Python Programming, and Video Games online course get access to the interactive learning objects. Interactive learning objects or ILO is a virtual environment integrated with the certification course to provide you with a platform for practising and developing algorithms, video games, functional test cases, and problem descriptions.

Lastly, upon successful completion of all the programme modules, practical exercises, and assignments, you will be eligible for the Coursera course completion certificate. 

The Highlights

• 100% online course
• Flexible deadlines
• Beginner Level
• Approx. 80 hours to complete
• Tangible career benefits
• Shareable Certificate
• Offered by the University of Alberta

Programme Offerings

Courses and certificate fees.

All the assessments, ILOs, and videos for Problem Solving, Python Programming, and Video Games online courses are available for free. You can opt for a certificate experience, which is available for a fee, the details of which are mentioned below:

Problem Solving, Python Programming, and Video Games:

Eligibility Criteria

As the Problem Solving, Python Programming, and Video Games online programme provides a beginner-level experience in the area of programming, you do not need any prior knowledge in the field of programming or creating video games. Some necessary computer operating skills and entry-level algebra knowledge will suffice. 

Furthermore, to receive the Coursera course completion certificate, you need to pass and submit all the course assignments and practical exercises. It will help you in meeting the minimum passing criteria for the course. 

Also, you need to attend all the lectures, go through the reading material and purchase the Coursera certificate experience to unlock the certificate. You will have to repay the course fee after 180 days if you are unable to complete the course within the time frame.

What you will learn

Upon successful completion of the Problem Solving, Python Programming, and Video Games online course by Coursera, you will be able to:

• Tackle an entirely new computational problem and develop methods and plans to solve it using techniques like problem decomposition and understanding 
• Program, code, debug and test an application in Python, based on your design
• Undertake a design creation process that includes tasks like specifications, testing, and algorithms

Who it is for

Admission details.

Follow the steps mentioned below to enrol in the Problem Solving, Python Programming, and Video Games certification course.

• Visit the course page. https://www.coursera.org/learn/problem-solving-programming-video-games
• Login using your Google, Apple, or Facebook credentials. You can also Login by creating a Coursera account.
• In Coursera’s course catalogue, type in the name of the programme, “Problem Solving, Python Programming, and Video Games.”
• On the top-right hand corner of the course page, click on the ‘Enroll for free’ button. 
• You will receive a pop-up window on your screen, prompting you to select between two options: ‘Purchase course’ and ‘Full course, no certificate.’ Select the option which suits your preferences.

Application Details

There is no need to fill any separate application form to apply for the Problem Solving, Python Programming, and Video Games programme. Simply logging in to your Coursera account using appropriate credentials is sufficient.

The Syllabus

• Course Themes
• Programming Languages
• Computer Science
• Get the Most Out of this Course
• Suggestions for Learner’s Success
• Problem-Based Learning  and Learning Outcomes  
• Instructor Bios
• Acknowledgements

Practice Exercises

• Introduction
• Game Creation Process
• Observe Hacking Game
• Game Versions
• Observe Hacking Version 1
• Describe Hacking Version 1
• Create Test Plan for Hacking Version 1
• Create Algorithm for Hacking Version 1
• The PVG Virtual Machine
• Play Hacking Game
• Play Hacking Version 1
• Hacking Version 1 Description Solution
• Hacking Version 1 Test Plan Solution
• Hacking Version 1 Algorithm Solution
• Understand Hacking
• Understand Hacking Version 1
• The Game Creation Process
• Problem Solving Ontology
• Python Evaluation Examples
• Python Interpretation
• Python Lexical Analysis
• Python Syntax Analysis
• Python Objects
• Python Semantics of Literals and Identifiers
• Python Semantics of Function Calls
• Python Program Interpretation
• Program Hacking Version 1
• The Reflection Process
• Review Code for Hacking Version 1
• Solution Issues
• The Python Shell in the Wing IDE
• Lexical Rules, Tables and Sample Problem (identifier, literal and delimiter)
• Syntax Diagrams and Sample Problem (expression statement, expression and function call)
• Semantic Rules and Sample Problem (identifier, literal and function call)
• Programming With the Wing IDE
• Hacking Version 1 Solution Code
• Software Quality Tests for Hacking Version 1
• Interpretation (lexical analysis, syntax analysis and semantic analysis)
• Lexical Analysis (identifier, literal and delimiter)
• Syntax Analysis (expression statement, expression and function call)
• Semantic Analysis (identifier, literal and function call)
• Evaluation (identifier, literal and function call)
• Programming (identifier, literal and function call)
• Reflect on Language Concepts used in Hacking Version 1
• Solution Issues in Hacking Version 1
• Observe Hacking Version 2
• Describe Hacking Version 2
• Regression Testing and Deleting Obsolete Tests
• Create Algorithm for Hacking Version 2
• Python Assignment Statement
• Python Binary Expression and Operator Token
• Python Import Statement and Keyword Token
• Python Multi-argument Function Call
• Python Method Call and Attribute Reference
• Program Hacking Version 2
• Review Code for Hacking Version 2
• Play Hacking Version 2
• Hacking Version 2 Description Solution
• Create Test Plan for Hacking Version 2
• Hacking Version 2 Test Plan Solution
• Hacking Version 2 Algorithm
• Syntax Diagrams and Sample Problem (statement and assignment statement )
• Semantic Rules (assignment statement)
• Lexical Rules and Tables (operator)
• Syntax Diagrams and Sample Problem (binary expression and binary operator)
• Semantic Rules and Sample Problem(binary expression)
• Lexical Rules and Tables (keyword)
• Syntax Diagrams and Sample Problem (import statement and module)
• Semantic Rules and Sample Problem (import statement)
• Syntax Diagrams and Sample Problem (multi-argument function call)
• Semantic Rules and Sample Problem (multi-argument function call)
• Syntax Diagrams and Sample Problem(method call and attribute reference)
• Semantic Rules and Sample Problem (method call and attribute reference)
• Hacking Version 2 Solution Code
• Software Quality Tests for Hacking Version 2
• Understand Hacking Version 2
• Delete Obsolete Tests for Hacking Version 2
• Lexical Analysis (review)
• Syntax Analysis (statement and assignment statement)
• Semantic Analysis (assignment statement)
• Evaluation (assignment statement)
• Programming (assignment statement)
• Lexical Analysis (operator)
• Syntax Analysis (binary expression and binary operator)
• Semantic Analysis (binary expression)
• Evaluation (binary expression and operator)
• Programming (binary expression and operator)
• Lexical Analysis (keyword)
• Syntax Analysis (import statement and module)
• Semantic Analysis (import statement)
• Evaluation (import statement and keyword)
• Programming (import statement and keyword)
• Syntax Analysis (multi-argument function call)
• Semantic Analysis (multi-argument function call)
• Evaluation (multi-argument function call)
• Programming (multi-argument function call)
• Syntax Analysis (method call and attribute reference)
• Semantic Analysis (method call and attribute reference)
• Evaluation (method call and attribute reference)
• Programming (method call and attribute reference)
• Reflect on language concepts used in Hacking Version 2
• Solution Issues in Hacking Version 2
• Observe Hacking Version 3
• Create Algorithm for Hacking Version 3
• Python If Statement and Boolean Type
• Python Elif and Else Clauses
• Python Keyword Operator, Short Circuit Evaluation, Unary Expression, and Operator Precedence
• Program Hacking Version 3
• Review Code for Hacking Version 3
• Play Hacking Version 3
• Describe Hacking Version 3
• Hacking Version 3 Description Solution
• Create Test Plan for Hacking Version 3
• Hacking Version 3 Test Plan Solution
• Hacking Version 3 Algorithm Solution
• Lexical Rules, Tables and Sample Problem (newline, indent and dedent)
• Syntax Diagrams (if statement)
• Semantic Rules and Sample Problem (if statement)
• Syntax Diagrams and Sample Problem (elif and else clause)
• Semantic Rules and Sample Problem (elif and else clauses)
• Syntax Diagrams and Sample Problem (keyword operator, unary expression, unary operator, and operator precedence)
• Semantic Rule and Sample Problem (keyword operator and unary expression)
• Hacking Version 3 Solution Code
• Software Quality Tests in Hacking Version 3
• Understand Hacking Version 3
• Delete Obsolete Tests for Hacking Version 3
• Lexical Analysis (newline, indent and dedent)
• Syntax Analysis (if statement)
• Semantic Analysis (if statement)
• Evaluation (if statement and boolean)
• Programming (if statement and boolean type)
• Syntax Analysis (elif and else clauses)
• Semantic Analysis (elif and else clause)
• Evaluation (elif and else clauses)
• Programming (elif and else clause)
• Syntax Analysis (keyword operator, unary expression, unary operator, and operator precedence)
• Semantic Analysis (short circuit evaluation and operator precedence)
• Programming (keyword operator, short circuit evaluation, unary expression, and operator precedence)
• Reflect on language concepts used in Hacking Version 3
• Solution Issues in Hacking Version 3
• Create Algorithm for Hacking Version 4
• Python Sequences and Subscription
• Python Tuple and List Types
• Python Sequence Element Replacement
• Python For Statement
• Program Hacking Version 4
• Review Code for Hacking Version 4
• Solution Issues in Hacking Version 4
• Observe Hacking Version 5
• Describe Hacking Version 5
• Create Test Plan for Hacking Version 5
• Create Algorithm for Hacking Version 5
• Python While Statement
• Python Repetition Examples and Range Type
• Program Hacking Version 5
• Review Code for Hacking Version 5
• Hacking Version 4 Algorithm Solution
• Syntax Diagrams and Sample Problem (subscription)
• Semantic Rules and Sample Problem (subscription)
• Syntax Diagrams and Sample Problem (expression list, parenthesized expression, list display)
• Semantic Rules and Sample Problem (tuple and list type)
• Syntax Diagrams and Sample Problem (assignment target: subscription)
• Semantic Rules and Sample Problem (assignment target: subscription)
• Syntax Diagrams and Sample Problem (for statement)
• Semantic Rules and Sample Problem (for statement)
• Hacking Version 4 Solution Code
• Software Quality Tests for Hacking Version 4
• Play Hacking Version 5
• Hacking Version 5 Description Solution
• Hacking Version 5 Test Plan Solution
• Hacking Version 5 Algorithm Solution
• Syntax Diagrams and Sample Problem (while statement)
• Semantic Analysis and Sample Problem (while statement)
• Hacking Version 5 Solution Code
• Syntax Analysis (subscription)
• Semantic Analysis (subscription)
• Evaluation (sequences and subscription)
• Programming (sequences and subscription)
• Syntax Analysis (expression list, parenthesized expression and list display)
• Semantic Analysis (tuple and list type)
• Evaluation (tuple and list type)
• Programming (tuple and list types)
• Syntax Analysis (assignment target: subscription)
• Semantic Analysis (assignment target: subscription)
• Evaluation (sequence element replacement)
• Programming (sequence element replacement)3
• Syntax Analysis (for statement)
• Semantic Analysis (for statement)
• Evaluation (for statement)
• Programming (for statement)
• Reflect on Language Concepts used in Hacking Version 4
• Understand Hacking Version 5
• Delete Obsolete Descriptions from Hacking Version 5
• Syntax Analysis (while statement)
• Semantic Analysis (while statement)
• Evaluation (while statement)
• Programming (while statement)
• Evaluation (range type)
• Programming (range type)
• Reflect on Language Concepts used in Hacking Version 5
• Solution Issues in Hacking Version 5
• Python Function Definitions
• Python Function Parameters
• Python Main Function and Identifier Scope
• Python Return Statement
• Python Side Effects
• Program Hacking Version 6
• Review Code for Hacking Version 6
• Syntax Diagrams and Sample Problem(function definition)
• Semantic Rules and Sample Problem (function definition)
• Syntax Diagrams (parameter list)
• Semantic Rules and Sample Problem (parameter list)
• Syntax Diagrams and Sample Problem (return statement)
• Semantic Rules and Sample Problem (return statement)
• Hacking Version 6 Solution Code
• Software Quality Tests for Hacking Version 6
• Syntax Analysis (function definition)
• Semantic Analysis (function definition)
• Evaluation (function definition)
• Programming (function definition)
• Syntax Analysis (parameter list)
• Semantic Analysis (parameter list)
• Evaluation (function parameters)
• Programming (function parameters)
• Evaluation (main function)
• Programming (main function)
• Syntax Analysis (return statement)
• Semantic Analysis (return statement)
• Evaluation (return statement)
• Programming (return statement)
• Evaluation (side effects)
• Programming (side effects)
• Reflect on Language Concepts used in Hacking Version 6
• Solution Issues in Hacking Version 6
• Observe Hacking Version 7
• Create Algorithm for Hacking Version 7
• Program Hacking Version 7
• Identify Solution Issues in Hacking Version 7
• Play Hacking Version 7
• Describe Hacking Version 7
• Hacking Version 7 Description Solution
• Create Test Plan for Hacking Version 7
• Hacking Version 7 Test Plan Solution
• Hacking Version 7 Algorithm Solution
• Hacking Version 7 Solution Code
• Understand Hacking Version 7
• Introduction to poke the dots.
• Observe Poke the Dots Version 1
• Create Algorithm for Poke the Dots Version 1
• Python Import Statement Variations
• Python Pass Statement
• Program Poke the Dots Version 1
• Review Code for Poke the Dots Version 1
• Solution Issues in Poke the Dots Version 1
• Create Algorithm for Poke the Dots Version 2
• Python Class Definition
• Program Poke the Dots Version 2
• Review Code for Poke the Dots Version 2
• Play Poke the Dots
• Play Poke the Dots Version 1
• Describe Poke the Dots Version 1
• Poke the Dots Version 1 Description Solution
• Create Test Plan for Poke the Dots Version 1
• Poke the Dots Version 1 Test Plan Solution
• Poke the Dots Version 1 Algorithm Solution
• Syntax Diagrams and Sample Problem(import statement variations)
• Semantic Rules and Sample Problem (import statement variations)
• Syntax Diagrams and Sample Problem(pass statement)
• Semantic Rules and Sample Problem (pass statement)
• Poke the Dots Version 1 Solution Code
• Updated Algorithm for Poke the Dots Version 1
• Poke the Dots Version 1 Updated Algorithm Solution
• Poke the Dots Version 2 Algorithm Solution
• Syntax Diagrams and Sample Problem (class definition)
• Semantic Rules and Sample Problem (class definition)
• Poke the Dots Version 2 Solution Code
• Software Quality Tests for Poke the Dots Version 2
• Understand Poke the Dots
• Understand Poke the Dots Version 1
• Syntax Analysis (import statement variations)
• Semantic Analysis (import statement variations)
• Programming (import statement variations)
• Syntax Analysis (pass statement)
• Semantic Analysis (pass statement)
• Programming (pass statement)
• Reflect on Language Concepts used in Poke the Dots Version 1
• Syntax Analysis (class definition)
• Syntax Analysis (assignment target: attribute reference)
• Semantic Analysis (class definition)
• Programming (class definition)
• Reflect on Language Concepts used in Poke the Dots Version 2
• Solution Issues in Poke version 2
• Observe Poke the Dots Version 3
• Create Algorithm for Poke the Dots Version 3
• Program Poke the Dots Version 3
• Review Code for Poke the Dots Version 3
• Play Poke the Dots Version 3
• Describe Poke the Dots Version 3
• Poke the Dots Version 3 Description Solution
• Create Test Plan for Poke the Dots Version 3
• Poke the Dots Version 3 Test Plan Solution
• Poke the Dots Version 3 Algorithm Solution
• Poke the Dots Version 3 Solution Code
• Understand Poke the Dots Version 3
• Delete Obsolete Descriptions for Poke the Dots Version 3
• Delete Obsolete Tests for Poke the Dots Version 3
• Reflect on Event Categories Used in Poke the Dots Version 3
• Solution Issues in Poke version 3
• Create Algorithm for Poke the Dots Version 4
• Python User-defined Methods and Self
• Python Private Attributes
• Program Poke the Dots Version 4
• Review Code for Poke the Dots Version 4
• Poke the Dots Version 4 Algorithm Solution
• Semantic Rules and Sample Problem (user-defined methods)
• Poke the Dots Version 4 Solution Code
• Software Quality Tests for Poke the Dots Version 4
• Semantic Analysis (user-defined methods)
• Programming (user-defined methods)
• Reflect on Language Concepts used in Poke the Dots Version 4
• Solution Issues in Poke version 4
• Observe Poke the Dots Version 51m
• Create Algorithm for Poke the Dots Version 548s
• Program Poke the Dots Version 51m
• Solution Issues in Poke the Dots Version 5
• Play Poke the Dots Version 5
• Describe Poke the Dots Version 5
• Poke the Dots Version 5 Description Solution
• Create Test Plan for Poke the Dots Version 5
• Poke the Dots Version 5 Test Plan Solution
• Create Algorithm for Poke the Dots Version 5
• Poke the Dots Version 5 Algorithm Solution
• Poke the Dots Version 5 Solution Code
• Understand Poke the Dots Version 5
• Program Poke the Dots Version 5

Instructors

University of alberta, edmonton frequently asked questions (faq's).

There are no specific requirements for Problem Solving, Python Programming, and Video Games course other than having a stable internet connection and a compatible phone or laptop.

You can access all the assessments, videos, interactive learning objects (ILO), forums, and virtual machine (VM) images for free.

No, you do not receive university credit from the University of Alberta for completing this course. To get course credits, you will have to apply to the University of Alberta as an open-studies or degree student.

You will be eligible for Coursera’s full refund policy two weeks after you have made the fee payment. If the certification course has just been launched, you can apply for a refund after two weeks of the first module of the course. If you have already earned the certificate, you will not be eligible for a refund.

Yes, the Problem Solving, Python Programming, and Video Games training course features many practice tests and exercises at the end of each week. You will need to complete the assignments with the minimum passing marks.

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Python Practice for Beginners: 15 Hands-On Problems

• online practice

Want to put your Python skills to the test? Challenge yourself with these 15 Python practice exercises taken directly from our Python courses!

There’s no denying that solving Python exercises is one of the best ways to practice and improve your Python skills . Hands-on engagement with the language is essential for effective learning. This is exactly what this article will help you with: we've curated a diverse set of Python practice exercises tailored specifically for beginners seeking to test their programming skills.

These Python practice exercises cover a spectrum of fundamental concepts, all of which are covered in our Python Data Structures in Practice and Built-in Algorithms in Python courses. Together, both courses add up to 39 hours of content. They contain over 180 exercises for you to hone your Python skills. In fact, the exercises in this article were taken directly from these courses!

In these Python practice exercises, we will use a variety of data structures, including lists, dictionaries, and sets. We’ll also practice basic programming features like functions, loops, and conditionals. Every exercise is followed by a solution and explanation. The proposed solution is not necessarily the only possible answer, so try to find your own alternative solutions. Let’s get right into it!

Python Practice Problem 1: Average Expenses for Each Semester

John has a list of his monthly expenses from last year:

He wants to know his average expenses for each semester. Using a for loop, calculate John’s average expenses for the first semester (January to June) and the second semester (July to December).

Explanation

We initialize two variables, first_semester_total and second_semester_total , to store the total expenses for each semester. Then, we iterate through the monthly_spending list using enumerate() , which provides both the index and the corresponding value in each iteration. If you have never heard of enumerate() before – or if you are unsure about how for loops in Python work – take a look at our article How to Write a for Loop in Python .

Within the loop, we check if the index is less than 6 (January to June); if so, we add the expense to first_semester_total . If the index is greater than 6, we add the expense to second_semester_total .

After iterating through all the months, we calculate the average expenses for each semester by dividing the total expenses by 6 (the number of months in each semester). Finally, we print out the average expenses for each semester.

Python Practice Problem 2: Who Spent More?

John has a friend, Sam, who also kept a list of his expenses from last year:

They want to find out how many months John spent more money than Sam. Use a for loop to compare their expenses for each month. Keep track of the number of months where John spent more money.

We initialize the variable months_john_spent_more with the value zero. Then we use a for loop with range(len()) to iterate over the indices of the john_monthly_spending list.

Within the loop, we compare John's expenses with Sam's expenses for the corresponding month using the index i . If John's expenses are greater than Sam's for a particular month, we increment the months_john_spent_more variable. Finally, we print out the total number of months where John spent more money than Sam.

Python Practice Problem 3: All of Our Friends

Paul and Tina each have a list of their respective friends:

Combine both lists into a single list that contains all of their friends. Don’t include duplicate entries in the resulting list.

There are a few different ways to solve this problem. One option is to use the + operator to concatenate Paul and Tina's friend lists ( paul_friends and tina_friends ). Afterwards, we convert the combined list to a set using set() , and then convert it back to a list using list() . Since sets cannot have duplicate entries, this process guarantees that the resulting list does not hold any duplicates. Finally, we print the resulting combined list of friends.

If you need a refresher on Python sets, check out our in-depth guide to working with sets in Python or find out the difference between Python sets, lists, and tuples .

Python Practice Problem 4: Find the Common Friends

Now, let’s try a different operation. We will start from the same lists of Paul’s and Tina’s friends:

In this exercise, we’ll use a for loop to get a list of their common friends.

For this problem, we use a for loop to iterate through each friend in Paul's list ( paul_friends ). Inside the loop, we check if the current friend is also present in Tina's list ( tina_friends ). If it is, it is added to the common_friends list. This approach guarantees that we test each one of Paul’s friends against each one of Tina’s friends. Finally, we print the resulting list of friends that are common to both Paul and Tina.

Python Practice Problem 5: Find the Basketball Players

You work at a sports club. The following sets contain the names of players registered to play different sports:

How can you obtain a set that includes the players that are only registered to play basketball (i.e. not registered for football or volleyball)?

This type of scenario is exactly where set operations shine. Don’t worry if you never heard about them: we have an article on Python set operations with examples to help get you up to speed.

First, we use the | (union) operator to combine the sets of football and volleyball players into a single set. In the same line, we use the - (difference) operator to subtract this combined set from the set of basketball players. The result is a set containing only the players registered for basketball and not for football or volleyball.

If you prefer, you can also reach the same answer using set methods instead of the operators:

It’s essentially the same operation, so use whichever you think is more readable.

Python Practice Problem 6: Count the Votes

Let’s try counting the number of occurrences in a list. The list below represent the results of a poll where students were asked for their favorite programming language:

Use a dictionary to tally up the votes in the poll.

In this exercise, we utilize a dictionary ( vote_tally ) to count the occurrences of each programming language in the poll results. We iterate through the poll_results list using a for loop; for each language, we check if it already is in the dictionary. If it is, we increment the count; otherwise, we add the language to the dictionary with a starting count of 1. This approach effectively tallies up the votes for each programming language.

If you want to learn more about other ways to work with dictionaries in Python, check out our article on 13 dictionary examples for beginners .

Python Practice Problem 7: Sum the Scores

Three friends are playing a game, where each player has three rounds to score. At the end, the player whose total score (i.e. the sum of each round) is the highest wins. Consider the scores below (formatted as a list of tuples):

Create a dictionary where each player is represented by the dictionary key and the corresponding total score is the dictionary value.

This solution is similar to the previous one. We use a dictionary ( total_scores ) to store the total scores for each player in the game. We iterate through the list of scores using a for loop, extracting the player's name and score from each tuple. For each player, we check if they already exist as a key in the dictionary. If they do, we add the current score to the existing total; otherwise, we create a new key in the dictionary with the initial score. At the end of the for loop, the total score of each player will be stored in the total_scores dictionary, which we at last print.

Python Practice Problem 8: Calculate the Statistics

Given any list of numbers in Python, such as …

 … write a function that returns a tuple containing the list’s maximum value, sum of values, and mean value.

We create a function called calculate_statistics to calculate the required statistics from a list of numbers. This function utilizes a combination of max() , sum() , and len() to obtain these statistics. The results are then returned as a tuple containing the maximum value, the sum of values, and the mean value.

The function is called with the provided list and the results are printed individually.

Python Practice Problem 9: Longest and Shortest Words

Given the list of words below ..

… find the longest and the shortest word in the list.

To find the longest and shortest word in the list, we initialize the variables longest_word and shortest_word as the first word in the list. Then we use a for loop to iterate through the word list. Within the loop, we compare the length of each word with the length of the current longest and shortest words. If a word is longer than the current longest word, it becomes the new longest word; on the other hand, if it's shorter than the current shortest word, it becomes the new shortest word. After iterating through the entire list, the variables longest_word and shortest_word will hold the corresponding words.

There’s a catch, though: what happens if two or more words are the shortest? In that case, since the logic used is to overwrite the shortest_word only if the current word is shorter – but not of equal length – then shortest_word is set to whichever shortest word appears first. The same logic applies to longest_word , too. If you want to set these variables to the shortest/longest word that appears last in the list, you only need to change the comparisons to <= (less or equal than) and >= (greater or equal than), respectively.

If you want to learn more about Python strings and what you can do with them, be sure to check out this overview on Python string methods .

Python Practice Problem 10: Filter a List by Frequency

Given a list of numbers …

… create a new list containing only the numbers that occur at least three times in the list.

Here, we use a for loop to iterate through the number_list . In the loop, we use the count() method to check if the current number occurs at least three times in the number_list . If the condition is met, the number is appended to the filtered_list .

After the loop, the filtered_list contains only numbers that appear three or more times in the original list.

Python Practice Problem 11: The Second-Best Score

You’re given a list of students’ scores in no particular order:

Find the second-highest score in the list.

This one is a breeze if we know about the sort() method for Python lists – we use it here to sort the list of exam results in ascending order. This way, the highest scores come last. Then we only need to access the second to last element in the list (using the index -2 ) to get the second-highest score.

Python Practice Problem 12: Check If a List Is Symmetrical

Given the lists of numbers below …

… create a function that returns whether a list is symmetrical. In this case, a symmetrical list is a list that remains the same after it is reversed – i.e. it’s the same backwards and forwards.

Reversing a list can be achieved by using the reverse() method. In this solution, this is done inside the is_symmetrical function.

To avoid modifying the original list, a copy is created using the copy() method before using reverse() . The reversed list is then compared with the original list to determine if it’s symmetrical.

The remaining code is responsible for passing each list to the is_symmetrical function and printing out the result.

Python Practice Problem 13: Sort By Number of Vowels

Given this list of strings …

… sort the list by the number of vowels in each word. Words with fewer vowels should come first.

Whenever we need to sort values in a custom order, the easiest approach is to create a helper function. In this approach, we pass the helper function to Python’s sorted() function using the key parameter. The sorting logic is defined in the helper function.

In the solution above, the custom function count_vowels uses a for loop to iterate through each character in the word, checking if it is a vowel in a case-insensitive manner. The loop increments the count variable for each vowel found and then returns it. We then simply pass the list of fruits to sorted() , along with the key=count_vowels argument.

Python Practice Problem 14: Sorting a Mixed List

Imagine you have a list with mixed data types: strings, integers, and floats:

Typically, you wouldn’t be able to sort this list, since Python cannot compare strings to numbers. However, writing a custom sorting function can help you sort this list.

Create a function that sorts the mixed list above using the following logic:

• If the element is a string, the length of the string is used for sorting.
• If the element is a number, the number itself is used.

As proposed in the exercise, a custom sorting function named custom_sort is defined to handle the sorting logic. The function checks whether each element is a string or a number using the isinstance() function. If the element is a string, it returns the length of the string for sorting; if it's a number (integer or float), it returns the number itself.

The sorted() function is then used to sort the mixed_list using the logic defined in the custom sorting function.

If you’re having a hard time wrapping your head around custom sort functions, check out this article that details how to write a custom sort function in Python .

Python Practice Problem 15: Filter and Reorder

Given another list of strings, such as the one below ..

.. create a function that does two things: filters out any words with three or fewer characters and sorts the resulting list alphabetically.

Here, we define filter_and_sort , a function that does both proposed tasks.

First, it uses a for loop to filter out words with three or fewer characters, creating a filtered_list . Then, it sorts the filtered list alphabetically using the sorted() function, producing the final sorted_list .

The function returns this sorted list, which we print out.

Want Even More Python Practice Problems?

We hope these exercises have given you a bit of a coding workout. If you’re after more Python practice content, head straight for our courses on Python Data Structures in Practice and Built-in Algorithms in Python , where you can work on exciting practice exercises similar to the ones in this article.

Additionally, you can check out our articles on Python loop practice exercises , Python list exercises , and Python dictionary exercises . Much like this article, they are all targeted towards beginners, so you should feel right at home!

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Monday 30 October 2023

Problem solving, python programming, and video games (free course).

  Python Coding       October 30, 2023       Course , Python       No comments    

There are 12 modules in this course

This course is an introduction to computer science and programming in Python.  Upon successful completion of this course, you will be able to:

1.  Take a new computational problem and solve it, using several problem solving techniques including abstraction and problem decomposition.

2.  Follow a design creation process that includes: descriptions, test plans, and algorithms.

3.  Code, test, and debug a program in Python, based on your design.

Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout.

This course uses problem-based learning. The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner. The instructional videos present Python using a conceptual framework that can be used to understand any programming language. This framework is based on several general programming language concepts that you will learn during the course including: lexics, syntax, and semantics.

Other approaches to programming may be quicker, but are more focused on a single programming language, or on a few of the simplest aspects of programming languages. The approach used in this course may take more time, but you will gain a deeper understanding of programming languages. After completing the course,  in addition to learning Python programming, you will be able to apply the knowledge and skills you acquired to: non-game problems, other programming languages, and other computer science courses.

You do not need any previous programming, Python, or video game experience.  However, several basic skills are needed: computer use (e.g., mouse, keyboard, document editing), elementary mathematics, 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 the main programming project, PVG is not about computer games.  For each new programming concept, PVG uses non-game examples to provide a basic understanding of computational principles, before applying these programming concepts to video games.

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, functional test plans, and algorithms.  The course forums are supported by knowledgeable University of Alberta personnel, to help you succeed.

All videos, assessments, and ILOs are available free of charge.  There is an optional Coursera certificate available for a fee. 

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https://www.coursera.org/learn/problem-solving-programming-video-games cmput 174 is now offered as a MOOC

you need to learn about problem solving, to know how to use your knowledge in real life problems, look this course:

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I am doing exactly that haha ( https://www.coursera.org/learn/problem-solving-programming-video-games/home/welcome ) It started talking about virtualization, then the course website directed me to the VirtualBox website. That is where I encountered all those terms. I suppose I don't really know what NOT to study as everything is new to me

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Welcome to the daily solving of our PROBLEM OF THE DAY with Yash Dwivedi . We will discuss the entire problem step-by-step and work towards developing an optimized solution. This will not only help you brush up on your concepts of Number Theory but also build up problem-solving skills. In this problem, we are given that Alice and Bob take turns playing a game, with Alice starting first. Initially, there is a number n on the chalkboard. On each player's turn, that player makes a move consisting of: Choosing any x with 0 < x < n  and n % x == 0. Replacing the number n on the chalkboard with n - x. Also, if a player cannot make a move, they lose the game. Return true if and only if Alice wins the game, assuming both players play optimally. Give the problem a try before going through the video. All the best!!! Problem Link:  https://www.geeksforgeeks.org/problems/divisor-game-1664432414/1

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