About this Course
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초급 단계

완료하는 데 약 25시간 필요

권장: 4 weeks of study, 4-8 hours/week...


자막: 영어, 한국어

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AlgorithmsProblem SolvingString (Computer Science)Java Programming

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

완료하는 데 약 25시간 필요

권장: 4 weeks of study, 4-8 hours/week...


자막: 영어, 한국어

강의 계획 - 이 강좌에서 배울 내용

완료하는 데 22분 필요

Introduction to the Course

Welcome to “Java Programming: Solving Problems with Software”! We are excited that you are starting our course to learn how to write programs in Java, one of the most popular programming languages in the world. In this introductory module, you will get to meet the instructor team from Duke University and have an overview of the course. Have fun!

5 videos (Total 12 min), 1 reading
5개의 동영상
Resources to Help You Succeed1m
Tips for Learning Programming1m
Using Forums: How to Ask for Help Effectively3m
Object Oriented Programming with Java Specialization2m
1개의 읽기 자료
Programming Resources10m
완료하는 데 5시간 필요

Fundamental Java Syntax and Semantics

In this module, you will learn to write and run your first Java programs, including one program that prints “Hello!” in various countries’ languages and another where you will analyze the perimeters and other information of shapes. To accomplish these tasks, you will learn the basics of Java syntax and how to design stepwise solutions with programs. By the end of this module, you will be able to: (1) Download and run BlueJ, the Java programming environment for this course; (2) Access the documentation for the Java libraries specially designed for this course; (3) Edit, compile, and run a Java program; (4) Construct methods, variables, if else statements, and for each loops in Java; and (5) Use Iterables (like DirectoryResource) to run a program that iterates over multiples lines in a document or webpage or multiple files in a directory.

17 videos (Total 76 min), 4 readings, 5 quizzes
17개의 동영상
Using BlueJ to Program in Java6m
Shapes: Collections of Points2m
Why Semantics: Motivation to Read Code1m
Mathematical Operators2m
For Each Loops7m
Solving Programming: A Seven Step Approach6m
Seven Steps in Action: Developing an Algorithm7m
Seven Steps in Action: Testing the Algorithm4m
Seven Steps in Action: Translating to Code5m
4개의 읽기 자료
Module Learning Outcomes10m
Download BlueJ and Open Your First BlueJ Project10m
Let's learn some basic Java syntax!1m
Calculating the Perimeter of a Shape2h
5개 연습문제
Getting Started with BlueJ10m
Variables and Mathematical Operators10m
Functions and Conditionals15m
Classes, Types, and For Each Loops30m
Calculating the Perimeter of a Shape30m
완료하는 데 4시간 필요

Strings in Java

This module begins with a short presentation from Raluca Gordân, an assistant professor in Duke University’s Center for Genomic and Computational Biology, about an important problem genomics scientists encounter regularly: how to identify genes in a strand of DNA. To tackle this problem, you will need to understand strings: series of characters such as letters, digits, punctuation, etc. After learning about Java methods that work with strings, you will be able to find genes within a DNA string as well as tackle other string related problems, such as finding all of the links in a web page. By the end of this module, you will be able to: (1) Use important methods for the Java String class; (2) Use conditionals, for loops, and while loops appropriately in a Java program; (3) Find patterns in the data represented by strings to help develop the algorithm for your program; (4) Understand the importance of designing programs that keep different data processing steps separate; (5) Use the StorageResource iterable for this course to store some data for further processing; and (6) Rely on Java documentation to better understand how to use different Java packages and classes.

21 videos (Total 122 min), 3 readings, 6 quizzes
21개의 동영상
Understanding Strings3m
Developing an Algorithm5m
Positions in Strings8m
Translating into Code11m
Java Math8m
Conceptual Understanding4m
While Loops9m
While Loop Syntax and Semantics3m
Coding While Loops6m
Three Stop Codons5m
Coding Three Stop Codons - Part I7m
Coding Three Stop Codons - Part II4m
Logical And / Or8m
Coding And / Or6m
Finding Multiple Genes5m
Translating to Code8m
Separation of Concerns5m
StorageResource Class3m
Coding StorageResource Class4m
3개의 읽기 자료
Programming Exercise: Finding a Gene and Web Links10m
Programming Exercise: Finding Many Genes10m
Programming Exercise: Storing All Genes10m
6개 연습문제
Finding a Gene in DNA12m
Finding All Genes in DNA8m
Debugging: Part 124m
Debugging: Part 222m
Using StorageResource12m
Strings in Java14m
완료하는 데 2시간 필요

CSV Files and Basic Statistics in Java

A common format for storing tabular data (any data organized into columns and rows) is in comma separated values (CSV) files. In this module, you will learn how to analyze and manipulate data from multiple CSV data files using a powerful open-source software package: Apache Commons CSV. Using this library will empower you to solve problems that could prove too complex to solve with a spreadsheet. By the end of this module, you will be able to: (1) Use the open-source Apache Commons CSV package in your own Java programs; (2) Access data from one or many CSV files using Java; (3) Convert strings into numbers; (4) Understand how to use “null” in Java programs (when you want to represent “nothing”); (5) Devise an algorithm (and implement in Java) to answer questions about CSV data; and (6) Analyze CSV data across multiple CSV files (for example, find maximums, minimums, averages, and other simple statistical results).

14 videos (Total 56 min), 3 readings, 3 quizzes
14개의 동영상
Using CSV Libraries7m
Which Countries Export...? Developing an Algorithm4m
Which Countries Export...? Translating into Code5m
CSVExport: Summary48
Hottest Day in a Year: Comma Separated Values2m
Converting Strings to Numbers4m
Maximum Temperature: Developing an Algorithm5m
Java for Nothing—null: When You Don't Have an Object4m
Maximum Temperature: Translating into Code4m
Maximum Temperature: Testing Code3m
Maximum Temperature from Multiple Datasets5m
Maximum Temperature Refactored4m
CSVMax: Summary41
3개의 읽기 자료
Module Learning Outcomes10m
Programming Exercise: Parsing Export Data10m
Programming Exercise: Parsing Weather Data10m
3개 연습문제
Which Countries Export...?12m
Weather Data18m
CSV Files and Basic Statistics in Java22m
완료하는 데 2시간 필요

MiniProject: Baby Names

This module wraps up the course with a mini project that ties together the different practices, skills, and libraries you have gained across the course! Using data on the popularity of different baby names in the United States from the past several decades, you will be able to compare different names’ popularity over time. While the data we have collected for this course is from the United States, we welcome you to share data from other countries in the course discussion forums. Good luck with the mini project!

9 videos (Total 47 min), 3 readings, 2 quizzes
9개의 동영상
Baby Names MiniProject: Data Overview6m
Baby Names MiniProject: Total Births7m
Batch Grayscale: Converting Many Files2m
Grayscale Algorithm: Seven Step Approach4m
Image Iterable in BlueJ: Grayscale5m
Batch Processing Grayscale3m
Saving Images with New Names11m
Batch Grayscale Summary: Converting Many Files1m
3개의 읽기 자료
MiniProject Exercise Guide10m
Extend Your Program10m
Programming Exercise: Batch Grayscale and Image Inversion10m
2개 연습문제
Baby Names28m
Batch Grayscale Images12m
527개의 리뷰Chevron Right


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Java Programming: Solving Problems with Software의 최상위 리뷰

대학: FAOct 8th 2017

Excellent explanations and amount of course work for practice, the tests made good use of the examples and work given, I am satisfied with what I learned in this course and see it's real world usage.

대학: CCMar 29th 2018

Great course, it does help to have some background knowledge in another language but it is doable without any. goes through some fun projects but also some work usable items such as CSV parsing.



Owen Astrachan

Professor of the Practice
Computer Science

Robert Duvall

Computer Science

Andrew D. Hilton

Associate Professor of the Practice
Electrical and Computer Engineering

Susan H. Rodger

Professor of the Practice
Computer Science

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

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

  • 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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