Acerca de este curso: 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.
Para quién es esta clase: This course 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.
Creada por: Duke University
Enseñado por: Andrew D. Hilton, Assistant Professor of the Practice
Electrical and Computer Engineering
Enseñado por: Genevieve M. Lipp, Adjunct Professor
Electrical and Computer Engineering/Mechanical Engineering
Enseñado por: Anne Bracy, Senior Lecturer
Computer Science, Cornell University
| Información básica | Curso 2 de 4 en Introduction to Programming in C Specialization |
| Nivel | Principiante |
| Compromiso | 4 weeks of study, 6–8 hours/week |
| Idioma | English |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 1
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!
7 videos, 24 lecturas, 2 cuestionarios de práctica
- 阅读: Planning
- 阅读: Revisiting Step 1
- 阅读: Revisiting Step 2
- 阅读: Step 3: Generalizing Values
- 阅读: Step 3: Repetitions
- 阅读: Step 3: Conditional Behavior
- 阅读: Revisiting Step 4
- Vídeo: Intersection of Two Rectangles
- 练习测验: Steps 1–4 Review
- 阅读: Translation to Code
- 阅读: Translating Algorithm Components
- Vídeo: Translating the Intersection Algorithm to Code
- 阅读: Completed Rectangle Intersection Code
- 阅读: Top-down Design and Composability
- 阅读: Stars Example
- 练习测验: Step 5 Concepts
- 阅读: Introduction to the Programming Environment
- Vídeo: Introduction to the Programming Environment
- 阅读: Using the Practice Programming Environment
- 阅读: Solutions to a Few Common Problems
- 阅读: UNIX basics
- 阅读: More UNIX Commands
- Vídeo: Editing Files with Emacs
- 阅读: Emacs
- 阅读: Assignment 01_apple
- 阅读: Git
- Vídeo: More about Git
- Vídeo: GitHub
- 阅读: [Optional Reference] Help me fix...
- 阅读: How Assignments Work in This Course
- 阅读: Assignments 02_code1 and 03_code2
- 阅读: Next Steps
SEMANA 2
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.
8 videos, 17 lecturas, 3 cuestionarios de práctica
- 阅读: Compiling Overview
- 阅读: Compilation Process
- 阅读: Preprocessing
- 练习测验: Compiling
- Vídeo: "Hello World"
- 阅读: Assignment 04_compile
- Vídeo: Planning isPrime
- Vídeo: Generalizing isPrime
- Vídeo: Translating isPrime to Code
- 阅读: Getting Help: man Pages
- Vídeo: Comparing Output with diff
- 阅读: Assignment 05_squares
- 阅读: More about Macros and Header Files
- 阅读: The Actual Compiler
- 阅读: Compiler Errors
- 阅读: Assembling
- 阅读: Linking
- 练习测验: Compilation Process
- Vídeo: Build Tool: make
- 阅读: Make
- Vídeo: Compiling with a Makefile
- 阅读: Fancier make Options
- 阅读: Running Your Program
- 阅读: valgrind
- 阅读: Compiler Options
- 练习测验: Make and Valgrind
- 阅读: Assignments 06_rect and 07_retirement
SEMANA 3
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.
5 videos, 17 lecturas, 3 cuestionarios de práctica
- 阅读: Black Box Testing
- Vídeo: Test-driven Development
- 阅读: Practical Tips for Designing Test Cases
- 阅读: White Box Testing
- 阅读: Generating Test Cases
- 阅读: Asserts
- 阅读: Code Review
- Vídeo: Code Review
- 练习测验: Testing
- 阅读: Assignments 08_testing and 09_testing
- 阅读: Step 7: Debugging
- 阅读: The Scientific Method
- 阅读: Accept or Reject Your Hypothesis?
- 练习测验: Debugging
- Vídeo: Finding Problems with Valgrind
- 阅读: Intro to gdb
- 阅读: Getting Started with gdb
- 阅读: Investigating the State of Your Program
- 阅读: Controlling Execution
- Vídeo: Gathering Information with gdb
- 阅读: Watchpoints
- 阅读: Signals
- 练习测验: gdb
- 阅读: Assignment 10_gdb
SEMANA 4
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.
2 videos, 3 lecturas
- Vídeo: Poker Project Roadmap
- 阅读: Assignment c2prj_cards
- 阅读: Rules of Poker
- 阅读: Assignment c3prj_testing
Practice Programming Environment
Calificado: Practice Programming Environment
Preguntas Frecuentes
Cómo funciona
课程作业
每门课程都像是一本互动的教科书，具有预先录制的视频、测验和项目。
来自同学的帮助
与其他成千上万的学生相联系，对想法进行辩论，讨论课程材料，并寻求帮助来掌握概念。
证书
获得正式认证的作业，并与朋友、同事和雇主分享您的成功。
Creadores
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.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
It is a great course, excellent methodology. Recommended course
The test case exercises are a bit of a let down, but this course is great.
The course description says that it's aimed at beginners and that has proven to be true. Most quizzes and assignments can be answered directly from the material presented in the course. Basic troubleshooting strategies are presented and the student is introduced to gnu gdb. The course forum is active with a very high instructor participation rate.
The only mark against taking this course would be the Coursera platform itself. The forums are full of messages of people completing assignments and not being given credit for it. Then the instructors have to work behind the scenes with Coursera to get them to correct their error.
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VA
Very nice course, very helpful and knowledgeable faculty.