This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment those skills with both important programming practices and critical mathematical problem solving skills. These skills underlie larger scale computational problem solving and programming. The main focus of the class will be programming weekly mini-projects in Python that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games.
提供：
Fundamentals of Computing の専門講座ライス大学（Rice University）このコースについて
39,017 最近の表示
受講生の就業成果
25%
コース終了後に新しいキャリアをスタートした
38%
コースが具体的なキャリアアップにつながった
14%
昇給や昇進につながった
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における7の3コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
中級レベル
約18時間で修了
英語
字幕：英語
習得するスキル
Computer ProgrammingAlgorithmsPython ProgrammingCombinatorics
受講生の就業成果
25%
コース終了後に新しいキャリアをスタートした
38%
コースが具体的なキャリアアップにつながった
14%
昇給や昇進につながった
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における7の3コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
中級レベル
約18時間で修了
英語
字幕：英語
提供：
ライス大学（Rice University）
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
シラバス - 本コースの学習内容
6時間で修了
Required Python knowledge, coding standards, and machine grading
This week, we will introduce you to the structure and standards of the Principles of Computing courses.
6時間で修了
10件のビデオ （合計104分）, 9 readings, 3 quizzes
10件のビデオ
Introduction6 分
Required Python Knowledge12 分
Coding Style and Standards11 分
Python Modules7 分
Machine Grading10 分
Mini-project Video5 分
CodeSkulptor11 分
Saving in CodeSkulptor9 分
Beyond CodeSkulptor (15:12) (optional video)15 分
9件の学習用教材
Required Python Knowledge10 分
Guidelines for Coding Style10 分
Importing Custom Modules in Python10 分
Mini-project Description10 分
204810 分
Math Expressions for Homework10 分
Math Notes on Functions10 分
Practice Mini-project - Solitaire Mancala10 分
Python Development Environments10 分
1の練習問題
Homework 120 分
3時間で修了
Testing, plotting, and grids
This week, we will explain the importance of testing. We will also learn to solve problems with grids.
3時間で修了
5件のビデオ （合計34分）, 4 readings, 2 quizzes
4件の学習用教材
Building Tests for Python Programs10 分
Mini-project Description10 分
Math Notes on Grid Representations10 分
Practice Activity - Testing Solitaire Mancala10 分
1の練習問題
Homework 218 分
3時間で修了
Probability, randomness, and objects/references
This we will learn how to use probability and randomness to solve problems.
3時間で修了
6件のビデオ （合計56分）, 6 readings, 2 quizzes
6件のビデオ
Basics of Probability10 分
Expected Value 13 分
Monte Carlo Methods6 分
Objects and References 11 分
Mini-project Video9 分
6件の学習用教材
Mini-project Description10 分
TTTBoard Class10 分
Math Notes on Basic Probability10 分
Math Notes on Expected Value10 分
Practice Mini-project - Nim (Monte Carlo)10 分
Practice Activity - The Monty Hall Problem10 分
1の練習問題
Homework 320 分
3時間で修了
Combinatorics, generators, and debugging
This week, we will learn how to use combinatorics to solve problems.
3時間で修了
6件のビデオ （合計68分）, 5 readings, 2 quizzes
6件のビデオ
Enumeration10 分
Permutations and Combinations13 分
Combinatorics and Password Breaking 15 分
Debugging18 分
Mini-project Video5 分
5件の学習用教材
Mini-project Description10 分
Math Notes on Enumeration10 分
Math Notes on Permutations and Combinations10 分
Practice Activity - Analyzing a Simple Dice Game10 分
Practice Activity - Counting Game States10 分
1の練習問題
Homework 420 分
レビュー
PRINCIPLES OF COMPUTING (PART 1) からの人気レビュー
SNにより2019年5月6日
This course is very good for beginners and intermediate coders. Gives important basics about computer science from 3 very good professors.
JJにより2018年5月15日
very wellmade assignments! that goes a long way! plotting seemed a bit superflous and not much learned.\n\nThank you professors!
PVにより2016年6月26日
It's quite a step up from the level op IPP. Assignments are also a bit more difficult but still very enjoyable puzzles to solve.
IBにより2017年6月11日
Yay, no more peer grading! This course felt easier than intro2. Less fiddling with your programs and more about concepts.
Fundamentals of Computing専門講座について
This Specialization covers much of the material that first-year Computer Science students take at Rice University. Students learn sophisticated programming skills in Python from the ground up and apply these skills in building more than 20 fun projects. The Specialization concludes with a Capstone exam that allows the students to demonstrate the range of knowledge that they have acquired in the Specialization.
よくある質問
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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