C ProgrammingCompilerDebuggingAlgorithmsProgramming Language ConceptsProblem Solving
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習得するスキル
この専門講座について
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This specialization develops strong programming fundamentals for learners who want to solve complex problems by writing computer programs. Through four courses, you will learn to develop algorithms in a systematic way and read and write the C code to implement them. This will prepare you to pursue a career in software development or other computational fields.
Successful completion of this Specialization will be considered by admissions as a demonstration of your skill and enhance your master’s application to Duke’s Pratt School of Engineering.
応用学習プロジェクト
Projects include writing a sorting algorithm and writing a program to use Monte Carlo simulation to calculate poker hand probabilities. The poker project is divided over three courses, so you can write the more challenging parts of the program as you gain more advanced skills.
受講生の就業成果
33%
この専門講座終了後に新しいキャリアをスタートしました
50%
昇給や昇進につながった
受講生の就業成果
33%
この専門講座終了後に新しいキャリアをスタートしました
50%
昇給や昇進につながった
共有できる証明書
修了時に証明書を取得
100%オンラインコース
自分のスケジュールですぐに学習を始めてください。
フレキシブルなスケジュール
柔軟性のある期限の設定および維持
初級レベル
経験は不要です。
約4か月で修了
推奨11時間/週
英語
字幕：英語, ベトナム語
専門講座の仕組み
コースを受講しましょう。
Coursera（コーセラ）の専門講座は、一連のコース群であり、技術を身に付ける手助けとなります。開始するには、専門講座に直接登録するか、コースを確認して受講したいコースを選択してください。専門講座の一部であるコースにサブスクライブすると、自動的にすべての専門講座にサブスクライブされます。1つのコースを修了するだけでも結構です。いつでも、学習を一時停止したり、サブスクリプションを終了することができます。コースの登録状況や進捗を追跡するには、受講生のダッシュボードにアクセスしてください。
実践型プロジェクト
すべての専門講座には、実践型プロジェクトが含まれています。専門講座を完了して修了証を獲得するには、成功裏にプロジェクトを終了させる必要があります。専門講座に実践型プロジェクトに関する別のコースが含まれている場合、専門講座を開始するには、それら他のコースをそれぞれ終了させる必要があります。
修了証を取得
すべてのコースを終了し、実践型プロジェクトを完了すると、修了証を獲得します。この修了証は、今後採用企業やあなたの職業ネットワークと共有できます。
この専門講座には4コースあります。
Programming Fundamentals
1,749件の評価
Programming is an increasingly important skill, whether you aspire to a career in software development, or in other fields. This course is the first in the specialization Introduction to Programming in C, but its lessons extend to any language you might want to learn. This is because programming is fundamentally about figuring out how to solve a class of problems and writing the algorithm, a clear set of steps to solve any problem in its class. This course will introduce you to a powerful problem-solving process—the Seven Steps—which you can use to solve any programming problem. In this course, you will learn how to develop an algorithm, then progress to reading code and understanding how programming concepts relate to algorithms.
Writing, Running, and Fixing Code in C
337件の評価
Building on the course Programming Fundamentals, this course will teach you how to write code by first planning what your program should do—an important approach for novice and professional programmers. You will learn how to compile and run your program, and then how to test and debug it. This course builds on the Seven Steps you have already learned and provides a framework for systematically testing for problems and fixing them, so you can find and fix problems efficiently.
Pointers, Arrays, and Recursion
159件の評価
The third course in the specialization Introduction to Programming in C introduces the programming constructs pointers, arrays, and recursion. Pointers provide control and flexibility when programming in C by giving you a way to refer to the location of other data. Arrays provide a way to bundle data by guaranteeing sequences of data are grouped together. Finally, recursive functions—functions that call themselves—provide an alternative to iteration that are very useful for implementing certain algorithms.
Interacting with the System and Managing Memory
77件の評価
The final course in the specialization Introduction to Programming in C will teach you powerful new programming techniques for interacting with the user and the system and dynamically allocating memory. You will learn more sophisticated uses for pointers, such as strings and multidimensional arrays, as well as how to write programs that read and write files and take input from the user. Learning about dynamic memory allocation will allow your programs to perform complex tasks that will be applied in the final part of the specialization project: a Monte Carlo simulation for calculating poker hand probabilities.
提供：
デューク大学（Duke University）
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
レビュー
4.5
INTRODUCTION TO PROGRAMMING IN C からの人気レビュー
SSによりApr 20, 2019
I love the focus of this first course in the specialization is about problem solving and developing a mindset for programming. The course is well thought out and concepts are clearly explained!
SJによりOct 26, 2018
good course, perfect for beginners and must enroll for complete specialization course.
DKによりAug 17, 2018
Excellent course!! It gives the desire to finish the specialization!!
RDによりJul 12, 2019
Great for total beginners.\n\nWould totally recommend to college students who just started their programming classes in C.\n\nNot for professionals eager to brush up their skills.Since it's too basic.
FBによりFeb 1, 2019
The course itself is great. The grading system is a bit frustrating because you don't know what the actual tests are. Some idea of what they are actually testing would be a great learning experience.
ABによりAug 3, 2019
This course helps to develop logical thinking & helps to understand how program would work before writing actual program. The basics of Programming are explained in detail with description & Videos
RKによりJul 20, 2019
If you are new to C programming and know nothing about it then its amazing course to get started with C programming. It completely felt like being spoon-fed for the material taught in this course.
OによりAug 2, 2019
i really loved the style of that course. the challenging assignments, depending more on reading and the continuous support through the discussion forums. i hope you make another extension to c++
よくある質問
返金ポリシーについて教えてください。
1つのコースだけに登録することは可能ですか？
はい。まず始めに興味のあるコースカードをクリックして登録します。コースに登録して修了することによって、共有できる修了証を取得するか、無料でコースを聴講してコースの教材を確認することができます。専門講座の一部であるコースにサブスクライブすると、専門講座全体に自動的にサブスクライブされます。進捗を追跡するには、受講生のダッシュボードにアクセスしてください。
学資援助はありますか？
無料でコースを受講できますか？
このコースは100%オンラインで提供されますか？実際に出席する必要のあるクラスはありますか？
このコースは完全にオンラインで提供されているため、実際に教室に出席する必要はありません。Webまたはモバイル機器からいつでもどこからでも講義、学習用教材、課題にアクセスできます。
専門講座を修了するのにどのくらいの期間かかりますか？
Each course is designed to take 4 weeks of study, with 6–8 hours per week. Some learners may work through the specialization more or less quickly.
What background knowledge is necessary?
This specialization is for learners who have an interest in learning how to program, for people with no programming experience or for people with some experience who would like to gain solid fundamentals and a deeper understanding of how to program effectively.
Do I need to take the courses in a specific order?
If you are new to programming, you should take the courses in order. Otherwise, you could start with Course 2 or Course 3, depending on your previous experience. Intermediate programmers new to C may like to start with Course 1 to learn the basics of syntax (and review algorithm design relevant to all languages).
専門講座を修了することで大学の単位は付与されますか？
Successfully completing the Specialization confers a Coursera Certificate with the instructors' signatures. This is different from Duke University course credit.
What will I be able to do upon completing the Specialization?
You will be able to approach a programming problem systematically, from designing an algorithm, to implementing it in code, to thoroughly testing your code. You will have a strong foundation in programming principles and be able to use C syntax fluently. Your final project will prove you can write a sophisticated program of intermediate scale—a Monte Carlo simulation to calculate poker hand probabilities.
Are there any additional benefits to completing this Specialization?
Successful completion of this Specialization will be considered by admissions as a demonstration of your skill and enhance your master’s application to Duke’s Pratt School of Engineering.
さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。
