Об этом курсе: This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects 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. In part 2 of this course, the programming portion of the class will focus on concepts such as recursion, assertions, and invariants. The mathematical portion of the class will focus on searching, sorting, and recursive data structures. Upon completing this course, you will have a solid foundation in the principles of computation and programming. This will prepare you for the next course in the specialization, which will begin to introduce a structured approach to developing and analyzing algorithms. Developing such algorithmic thinking skills will be critical to writing large scale software and solving real world computational problems.
Преподаватели: Scott Rixner, Professor
Computer Science
Преподаватели: Joe Warren, Professor
Computer Science
Преподаватели: Luay Nakhleh, Associate Professor
Computer Science; Biochemistry and Cell Biology
| Основные сведения | Course 4 of 7 in the Fundamentals of Computing Specialization |
| Выполнение | 4 weeks of study, 7-10 hours/week |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
- Видео: The Importance of Searching
- Видео: Generators
- Видео: Stacks and Queues
- Видео: Inheritance
- Видео: Grid Class
- Видео: Grid search
- Видео: Mini-project Video
- Leyendo: Mini-project Description
- Elemento LTI: Assignment Submission History
- Leyendo: Math Notes on Growth Rates of Functions
- Leyendo: Math Notes on Grid Representations
- Leyendo: Math Notes on Breadth-First Search
- Leyendo: Practice Activity - Sorting strings
- Leyendo: Practice Activity - Working with Distance Fields
- Видео: CodeSkulptor (optional video from our previous class)
- Видео: Saving in CodeSkulptor (optional video from our previous class)
- Видео: Beyond CodeSkulptor (optional video from our previous class)
- Видео: Recursion
- Видео: Binary Search
- Видео: Visualizing Recursion
- Видео: Recurrences
- Видео: Reading Files
- Видео: Mini-project Video
- Leyendo: Mini-project Description
- Leyendo: Math Notes on Recurrence Relations
- Leyendo: Practice Activity - Recursion
- Leyendo: Practice Activity - Binary representations for numbers
- Leyendo: Practice Activity - Visualizing recurrences
- Видео: Lambda
- Видео: Trees
- Видео: Illustration of Trees
- Видео: Minimax
- Видео: Mini-project Video
- Leyendo: Mini-project Description
- Leyendo: TTTBoard Class
- Leyendo: Math Notes on Trees
- Leyendo: Math Notes on Minimax
- Leyendo: Practice Activity - Nim (Tree search)
- Leyendo: Practice Activity - Drawing trees
- Видео: Assertions
- Видео: Invariants
- Видео: Modeling
- Видео: Software Development
- Leyendo: The Basics of the Fifteen Puzzle
- Видео: Mini-project Video
- Leyendo: Mini-project Description
- Leyendo: Math Notes on Invariants
- Leyendo: Practice Activity - Solitaire Tantrix
- Видео: What is Algorithmic Thinking?
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
Another entertaining and great course in the series with really well-designed and engaging projects.
I am getting sad I'm running out of courses to take from Rixner, Warren, et al. They are superb.
CodeSkuptor and OwlTest are really easy to use and handy tools (although I've had some issues with OwlTest not working all of the time).
I came to PoC Part 2 via Rice's IIPP courses and PoC Part 1. The PoC series is a step up in difficulty from IIPP. The homework assignments usually took me several hours to complete and the mini-projects all took around 10 hours (maybe more) to complete. If you have lots of programming experience, I expect the mini-project would take you less time, at least once you've conceptualized how to solve the problem/project. And it is this thinking - rather than programming - that is the main thing the instructors want students to take away from this course. In other words, this is not an intermediate Python course. But it is a great class. You'll get an introduction to searches, data structures, recursion, trees, and how to test your software. And like IIPP, the mini-projects are based a fun games.
Very enlightening. Excellent assistance from staff.
little bit hard to solve the assignment.
Even though it took much more time to solve the assignments and practice activity, this class was awesome.