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Problem Solving, Python Programming, and Video Games

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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Rating 3.4 based on 7 ratings
Length 13 weeks
Effort 12 weeks of study, at 6 to 10 hours/week.
Starts Jul 3 (46 weeks ago)
Cost $49
From University of Alberta via Coursera
Instructors Duane Szafron, Paul Lu
Download Videos On all desktop and mobile devices
Language English
Subjects Programming
Tags Computer Science Software Development

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What people are saying

too many quits ask

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

stupid codes- who cares

whole thing broken down

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

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

issues.i also must say

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

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

analysis semantics problems

approaching different types

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

follow up questions

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

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

but since

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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Computer Science Specialist $87k

Lecturer (Computer Science) $98k

MS Computer Science $106k

Professor Computer Science $109k

Computer Science R&D $129k

Associate Computer Science $133k

Professor - Computer Science $138k

MS in Computer Science $141k

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Rating 3.4 based on 7 ratings
Length 13 weeks
Effort 12 weeks of study, at 6 to 10 hours/week.
Starts Jul 3 (46 weeks ago)
Cost $49
From University of Alberta via Coursera
Instructors Duane Szafron, Paul Lu
Download Videos On all desktop and mobile devices
Language English
Subjects Programming
Tags Computer Science Software Development

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