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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Introduction to Programming in C
Writing, Running, and Fixing Code in C
von
Über diesen Kurs
68,492 kürzliche Aufrufe
Learner Career Outcomes
50%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
50%
erhalten Sie eine Gehaltserhöhung oder Beförderung
Kompetenzen, die Sie erwerben
C ProgrammingCompilerDebugging
Learner Career Outcomes
50%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
50%
erhalten Sie eine Gehaltserhöhung oder Beförderung
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 2 von 4 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Anfänger“
Ca. 31 Stunden zum Abschließen
Empfohlen: 4 weeks of study, 6–8 hours/week
Englisch
Untertitel: Englisch, Vietnamesisch
Lehrplan - Was Sie in diesem Kurs lernen werden
5 Stunden zum Abschließen
Writing Code
In this module, you will learn to write code and do your first assignment in the Practice Programming Environment. You have practiced the first four steps of the Seven Steps in the previous course, and you will review them here before learning Step 5: Translating Your Algorithm to Code. Expert programmers spend most of their time planning before they begin writing code, and you will learn to do the same!
5 Stunden zum Abschließen
7 Videos (Gesamt 34 min), 24 Lektüren, 2 Quiz
7 Videos
Intersection of Two Rectangles5m
Translating the Intersection Algorithm to Code5m
Introduction to the Programming Environment6m
Editing Files with Emacs8m
More about Git4m
GitHub1m
24 Lektüren
Planning10m
Revisiting Step 110m
Revisiting Step 210m
Step 3: Generalizing Values10m
Step 3: Repetitions10m
Step 3: Conditional Behavior10m
Revisiting Step 410m
Translation to Code10m
Translating Algorithm Components10m
Completed Rectangle Intersection Code10m
Top-down Design and Composability10m
Stars Example10m
Introduction to the Programming Environment10m
Using the Practice Programming Environment10m
Solutions to a Few Common Problems10m
UNIX basics10m
More UNIX Commands10m
Emacs10m
Assignment 01_apple10m
Git10m
[Optional Reference] Help me fix...10m
How Assignments Work in This Course10m
Assignments 02_code1 and 03_code210m
Next Steps10m
2 praktische Übungen
Steps 1–4 Review10m
Step 5 Concepts8m
4 Stunden zum Abschließen
Compiling and Running
Now that you know how to plan an algorithm and translate it to code, you need to learn how to compile and run it! You will learn about the compiler, which takes the code you wrote and translates it into instructions a machine can execute, which you can then run. You will also learn about different options you can give the compiler, as well as different ways to run your program that give you debugging information.
4 Stunden zum Abschließen
8 Videos (Gesamt 26 min), 17 Lektüren, 4 Quiz
8 Videos
"Hello World"3m
Planning isPrime3m
Generalizing isPrime5m
Translating isPrime to Code2m
Comparing Output with diff3m
Build Tool: make3m
Compiling with a Makefile2m
17 Lektüren
Compiling Overview10m
Compilation Process10m
Preprocessing10m
Assignment 04_compile10m
Getting Help: man Pages10m
Assignment 05_squares10m
More about Macros and Header Files10m
The Actual Compiler10m
Compiler Errors10m
Assembling10m
Linking10m
Make10m
Fancier make Options10m
Running Your Program10m
valgrind10m
Compiler Options10m
Assignments 06_rect and 07_retirement10m
4 praktische Übungen
Compiling8m
Compilation Process10m
Make and Valgrind10m
Prototype: Assignment 06 Practice Quiz10m
4 Stunden zum Abschließen
Testing and debugging
Two skills that are crucial to good programming are testing—finding problems with your code, and debugging—fixing them. In this module you will learn systematic ways to identify problems in your code, as well as how to apply the scientific method to fix your program when you do find a bug.
4 Stunden zum Abschließen
6 Videos (Gesamt 21 min), 17 Lektüren, 3 Quiz
6 Videos
Test-driven Development1m
Code Review2m
Finding Problems with Valgrind5m
Gathering Information with gdb6m
Advice from a Duke Software Engineering Student: Don't Give Up!2m
17 Lektüren
Black Box Testing10m
Practical Tips for Designing Test Cases10m
White Box Testing10m
Generating Test Cases10m
Asserts10m
Code Review10m
Assignments 08_testing and 09_testing10m
Step 7: Debugging10m
The Scientific Method10m
Accept or Reject Your Hypothesis?10m
Intro to gdb10m
Getting Started with gdb10m
Investigating the State of Your Program10m
Controlling Execution10m
Watchpoints10m
Signals10m
Assignment 10_gdb10m
3 praktische Übungen
Testing8m
Debugging8m
gdb4m
1 Stunde zum Abschließen
Project
In this module you will begin the project you will complete over the course of the rest of the specialization. At the end of each course, you will write a piece of a program that will calculate the odds of different poker hands winning with a Monte Carlo simulation—a way to calculate complicated probabilities by generating random data.
1 Stunde zum Abschließen
2 Videos (Gesamt 8 min), 3 Lektüren
3 Lektüren
Assignment c2prj1_cards30m
Rules of Poker10m
Assignment c2prj2_testing30m
1 Stunde zum Abschließen
Practice Programming Environment
1 Stunde zum Abschließen
1 Quiz
Top-Bewertungen von Writing, Running, and Fixing Code in C
Very detailed and very helpful. Thanks to the tutors for putting together such a detailed course where nothing seems rushed while at the same time everything is explained.
This course gives you a great overview (in reasonable depth) of the tools and concepts that you need when starting as a novice programmer. Strongly recommended.
Dozenten
Andrew D. Hilton
Associate Professor of the PracticeElectrical and Computer Engineering
Genevieve M. Lipp
Assistant Professor of the PracticeElectrical and Computer Engineering/Mechanical Engineering and Materials Science
Anne Bracy
Senior LecturerComputer Science, Cornell University
Über 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.
Über den Spezialisierung Introduction to Programming in C
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.
Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Sobald Sie sich für ein Zertifikat angemeldet haben, haben Sie Zugriff auf alle Videos, Quizspiele und Programmieraufgaben (falls zutreffend). Aufgaben, die von anderen Kursteilnehmern bewertet werden, können erst dann eingereicht und überprüft werden, wenn Ihr Unterricht begonnen hat. Wenn Sie sich den Kurs anschauen möchten, ohne ihn zu kaufen, können Sie womöglich auf bestimmte Aufgaben nicht zugreifen.
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse der Spezialisierung und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn Profil hinzufügen. Wenn Sie nur lesen und den Inhalt des Kurses anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.
Wie erfolgen Rückerstattungen?
Ist finanzielle Unterstützung möglich?
Will I receive a transcript from Duke University for completing this course?
No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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