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. In part 1 of this course, the programming aspect of the class will focus on coding standards and testing. The mathematical portion of the class will focus on probability, combinatorics, and counting with an eye towards practical applications of these concepts in Computer Science. Recommended Background - Students should be comfortable writing small (100+ line) programs in Python using constructs such as lists, dictionaries and classes and also have a high-school math background that includes algebra and pre-calculus.
This course is part of the Fundamentals of Computing Specialization
Principles of Computing (Part 1)
Offered By
- Entrepreneurs
- Data Analysts
- Data Scientists
- Technical Solutions Engineers
- Data Engineers
Skills you will gain
Syllabus - What you will learn from this course
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.
Testing, plotting, and grids
This week, we will explain the importance of testing. We will also learn to solve problems with grids.
Probability, randomness, and objects/references
This we will learn how to use probability and randomness to solve problems.
Combinatorics, generators, and debugging
This week, we will learn how to use combinatorics to solve problems.
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Top reviews from Principles of Computing (Part 1)
This course is very good for beginners and intermediate coders. Gives important basics about computer science from 3 very good professors.
very wellmade assignments! that goes a long way!\n\nplotting seemed a bit superflous and not much learned.\n\nThank you professors!
Instructors
Scott Rixner
Professor
Joe Warren
Professor
Luay Nakhleh
Associate ProfessorAbout Rice University
About the Fundamentals of Computing Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
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?
Is financial aid available?
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