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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Introduction to Programming in C
Programming Fundamentals
von
Über diesen Kurs
135,914 kürzliche Aufrufe
Kursteilnehmer, die sich für Course entscheiden, sind
- Machine Learning Engineers
- Risk Managers
- Data Engineers
- Scientists
- Engineers
Kompetenzen, die Sie erwerben
AlgorithmsProgramming Language ConceptsProblem SolvingC Programming
Lehrplan - Was Sie in diesem Kurs lernen werden
Woche
12 Stunden zum Abschließen
Introduction
This module introduces a powerful process for solving any programming problem—the Seven Steps. You will learn how to approach a programming problem methodically, so you can formulate an algorithm that is specific and correct. You will work through examples with sequences of numbers and graphical patterns to develop the skill of algorithm development.
8 Videos (Gesamt 33 min), 9 Lektüren, 3 Quiz
8 Videos
Stepping Through An Algorithm4m
Testing an Algorithm for a Numerical Sequence3m
A Pattern of Squares4m
Testing a Pattern of Squares2m
Drawing a Rectangle4m
Closest Point5m
Generalizing Closest Point5m
9 Lektüren
Programming: Plan First, Then Code3m
Overview of the Seven Steps5m
Algorithms10m
Step 1: Work an Example Yourself5m
Step 2: Write Down What You Just Did4m
Step 3: Generalize Your Steps10m
Step 4: Test Your Algorithm9m
A Pattern of Squares6m
Next Steps4m
3 praktische Übungen
Steps 1–46m
Algorithm Practice6m
Algorithms30m
Woche
24 Stunden zum Abschließen
Reading Code
In this module, you will learn to read code—this means you will be able to execute a piece of code by hand, and clearly illustrate what each statement does and what the state of the program is. Understanding how to read code is the only way to be sure you can write correct code. By the end of this module, you will be able to read and understand code with functions, conditional statements, iteration, and other fundamental techniques.
12 Videos (Gesamt 38 min), 17 Lektüren, 8 Quiz
12 Videos
Declaring and Assigning a Variable2m
Examples of Expressions2m
Using Functions for Abstraction4m
Execution of Function Calls4m
Printing Example2m
Execution of If/Else3m
Execution of Switch/Case3m
While Loops3m
Equivalent For and While Loops2m
Execution of Nested Loops3m
Execution of Continue2m
17 Lektüren
Declaring a Variable10m
Assigning a Variable10m
Expressions with Common Operators10m
Anatomy of a Function10m
How to Evaluate a Function10m
Scope10m
Printing10m
Conditional Statements10m
If/Else10m
Switch/Case10m
Shorthand10m
Loops for Repetition10m
While Loops10m
Do/While Loops10m
For Loops10m
Continue and Break10m
Higher-level Meaning10m
8 praktische Übungen
Variables and Expressions8m
Functions4m
Printing4m
Logical Operators4m
Conditional Statements4m
While Loops2m
Loops4m
Reading Code16m
Woche
34 Stunden zum Abschließen
Types
Everything is a number to a computer, but types determine the size and interpretation of numbers. In this module you will learn about types beyond integers, both their conceptual representations, and their hardware representations in binary. You will learn basic data types, "non-number" types, and complex, custom types, as well as some important caveats, so you will avoid type-related programming mistakes.
8 Videos (Gesamt 23 min), 18 Lektüren, 6 Quiz
8 Videos
Types and Formatted Output4m
Type Conversion2m
Everything Is a Number2m
Struct for a Rectangle2m
Uses of Typedef3m
Enumerated Types3m
A Duke Software Engineering Student on the Importance of Planning3m
18 Lektüren
Converting between Decimal and Binary10m
Looking under the Hood10m
Basic Data Types10m
char10m
int10m
float and double10m
Printing redux10m
Expressions Have Types10m
Type Conversion10m
Casting10m
Overflow and Underflow10m
"Non-numbers"10m
Strings10m
Images10m
Sound and Video10m
Structs10m
Typedef10m
Enumerated Types10m
6 praktische Übungen
Decimal, Hex, and Binary8m
Basic Data Types8m
Expressions Have Types6m
"Non-numbers"6m
Complex, Custom Data Types6m
Types20m
Woche
41 Stunde zum Abschließen
Project
You have learned a lot about designing algorithms and the programming concepts that will help you implement them. For this project, you will develop and test your own algorithm for sorting data. This module will reinforce the importance of being specific when you write an algorithm and provide an opportunity for you to do so yourself, for a very common computational task: sorting.
2 Videos (Gesamt 4 min), 1 Lektüre, 1 Quiz
1 Lektüre
Sample PB&J Algorithm with Feedback10m
1 praktische Übung
Writing a Sorting Algorithm1h
32%
nahm einen neuen Beruf nach Abschluss dieser Kurse auf
33%
ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
18%
erhalten Sie eine Gehaltserhöhung oder Beförderung
Top-Bewertungen von Programming Fundamentals
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
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.
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.
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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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