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.
Introduction to Programming in C 전문 분야
Learn Essential Programming Fundamentals. Master programming skills to solve complex problems.
16,587명이 이미 등록했습니다!
제공자:
이 전문 분야 정보
최근 조회 35,676회
귀하가 습득할 기술
C ProgrammingCompilerDebugging
100% 온라인 강좌
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 일정
유연한 마감을 설정하고 유지 관리합니다.
초급 단계
완료하는 데 약 4개월 필요
매주 10시간 권장
영어
자막: 영어, 베트남어
전문분야 이용 방법
강좌 수강
Coursera 전문 분야는 기술을 완벽하게 습득하는 데 도움이 되는 일련의 강좌입니다. 시작하려면 전문 분야에 직접 등록하거나 강좌를 둘러보고 원하는 강좌를 선택하세요. 하나의 전문 분야에 속하는 강좌에 등록하면 해당 전문 분야 전체에 자동으로 등록됩니다. 단 하나의 강좌만 수료해도 됩니다. — 학습을 일시 중지하거나 언제든 구독을 종료할 수 있습니다. 학습자 대시보드를 방문하여 강좌 등록 상태와 진도를 추적해 보세요.
실습 프로젝트
모든 전문 분야에는 실습 프로젝트가 포함되어 있습니다. 전문 분야를 완료하고 수료증을 받으려면 프로젝트를 성공적으로 마쳐야 합니다. 전문 분야에 별도의 실습 프로젝트 강좌가 포함되어 있는 경우 각 강좌를 완료해야 프로젝트를 시작할 수 있습니다.
수료증 취득
모든 강좌를 마치고 실습 프로젝트를 완료하면 취업할 때나 전문가 네트워크에 진입할 때 제시할 수 있는 수료증을 취득할 수 있습니다.
이 전문 분야에는 4개의 강좌가 있습니다.
Programming Fundamentals
4.7
별
1,512개의 평가
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
4.5
별
295개의 평가
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
4.5
별
147개의 평가
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
4.4
별
67개의 평가
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.
강사
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
듀크대학교 정보
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.
자주 묻는 질문
환불 규정은 어떻게 되나요?
하나의 강좌에만 등록할 수 있나요?
네! 시작하려면 관심 있는 강좌 카드를 클릭하여 등록합니다. 강좌를 등록하고 완료하면 공유할 수 있는 인증서를 얻거나 강좌를 청강하여 강좌 자료를 무료로 볼 수 있습니다. 전문 분야 과정에 있는 강좌에 등록하면, 전체 전문 분야에 등록하게 됩니다. 학습자 대시보드에서 진행 사항을 추적할 수 있습니다.
재정 지원을 받을 수 있나요?
해당 강좌를 무료로 수강할 수 있나요?
이 강좌는 100% 온라인으로 진행되나요? 직접 참석해야 하는 수업이 있나요?
이 강좌는 100% 온라인으로 진행되므로 강의실에 직접 참석할 필요가 없습니다. 웹 또는 모바일 장치를 통해 언제 어디서든 강의, 읽기 자료, 과제에 접근할 수 있습니다.
전문 분야를 완료하는 데 얼마나 걸리나요?
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).
전문 분야를 완료하면 대학 학점을 받을 수 있나요?
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.
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.
세계 최고의 교육을 누구나 접속할 수 있게 하는 Coursera는
유수의 명문 대학 및 교육 기관과 파트너가 되어 온라인 강좌를 제공합니다.
© 2020 Coursera Inc. All rights reserved.
