This Specialization covers much of the material that first-year Computer Science students take at Rice University, brought to you by the world-class Faculty who teach our master's and PhD programs. 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.

Fundamentals of Computing Specialization


Fundamentals of Computing Specialization
Prepare for Advanced Computer Science Courses. Learn how to program and think like a Computer Scientist



Instructors: Luay Nakhleh
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2 months
at 10 hours a week
Flexible schedule
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Taught in English
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Specialization - 7 course series
An Introduction to Interactive Programming in Python (Part 1)
Course 119 hours4.8 (3,305 ratings)
What you'll learn
Skills you'll gain
Category: Event-Driven Programming
Category: Python Programming
Category: Development Environment
Category: Computer Graphics
Category: Arithmetic
Category: Graphical Tools
Category: Computer Programming
Category: Interactive Design
Category: User Interface (UI)
Category: Programming Principles
Category: Debugging
Category: Simulations
Category: Application Development
Category: Program Development
An Introduction to Interactive Programming in Python (Part 2)
Course 215 hours4.9 (1,209 ratings)
What you'll learn
Skills you'll gain
Category: Object Oriented Programming (OOP)
Category: Python Programming
Category: Computer Graphics
Category: Application Development
Category: Software Development
Category: Scripting
Category: Interactive Design
Category: Program Development
Category: Computer Programming
Category: Data Structures
Category: Development Environment
Category: Scripting Languages
Principles of Computing (Part 1)
Course 318 hours4.7 (582 ratings)
What you'll learn
Skills you'll gain
Category: Combinatorics
Category: Probability
Category: Simulations
Category: Python Programming
Category: Development Testing
Category: Computational Thinking
Category: Algorithms
Category: Debugging
Category: Programming Principles
Category: Engineering Software
Category: Software Testing
Category: Applied Mathematics
Category: Mathematical Theory & Analysis
Category: Probability & Statistics
Category: Program Development
Category: Object Oriented Programming (OOP)
Category: Game Theory
Category: Computer Programming
Principles of Computing (Part 2)
Course 415 hours4.8 (364 ratings)
What you'll learn
Skills you'll gain
Category: Algorithms
Category: Data Structures
Category: Mathematical Modeling
Category: Programming Principles
Category: Game Theory
Category: Python Programming
Category: Theoretical Computer Science
Category: Computer Programming
Category: Computational Thinking
Category: Data Validation
Category: Computer Science
Category: Debugging
Algorithmic Thinking (Part 1)
Course 512 hours4.6 (377 ratings)
What you'll learn
Skills you'll gain
Category: Graph Theory
Category: Algorithms
Category: Network Analysis
Category: Program Development
Category: Programming Principles
Category: Data Structures
Category: Theoretical Computer Science
Category: Analysis
Category: Computer Programming
Category: Computational Thinking
Category: Data Analysis
Category: Python Programming
Algorithmic Thinking (Part 2)
Course 611 hours4.7 (216 ratings)
What you'll learn
Skills you'll gain
Category: Algorithms
Category: Analysis
Category: Data Analysis
Category: Machine Learning Algorithms
Category: Computational Thinking
Category: Computer Science
Category: Data Structures
Category: Big Data
Category: Python Programming
Category: Unsupervised Learning
The Fundamentals of Computing Capstone Exam
Course 71 hour4.8 (115 ratings)
What you'll learn
Skills you'll gain
Category: Algorithms
Category: Computer Programming
Category: Computational Logic
Category: Computational Thinking
Category: Independent Thinking
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