Functions are a sequence of instructions that perform a specific task and can be used in multiple programs. They were initially conceived by John Mauchly and Kathleen Antonelli and are an important tool for sharing and trading software. They can also reduce the cost of developing and maintaining large programs.
Carnegie Mellon University
Spring 2014
A comprehensive course at Carnegie Mellon University that introduces fundamental principles of programming language design and implementation from a mathematical perspective. It delves deep into the structural and dynamic aspects of programming languages, studying concepts like recursion, objects, polymorphism, and parallelism.
No concepts data
+ 38 more conceptsUC Berkeley
Summer 2022
A gentle, thorough introduction to computer science, starting with block-based language Snap! and transitioning to Python. The course covers fundamental programming concepts and encourages application in various fields. Level: Beginner friendly.
No concepts data
+ 21 more conceptsUC Berkeley
Fall 2022
UC Berkeley's course blends inferential thinking, computational thinking, and real-world relevance, offering students hands-on analysis of real-world datasets. It covers critical concepts in computer programming, statistical inference, privacy, and study design.
No concepts data
+ 33 more conceptsUC Berkeley
Fall 2022
A course that emphasizes software abstraction, equipping students with the skills to manage program complexity. Students will primarily use Python, with additional exposure to Scheme and SQL.
No concepts data
+ 32 more conceptsStanford University
Winter 2023
This is a companion course to CS106B/CS106X, diving into the modern C++ language. It covers some of the most exciting features of C++, including modern patterns that give it beauty and power. It is an intermediate-level course assuming familiarity with basic programming concepts.
No concepts data
+ 23 more conceptsUC Berkeley
Fall 2022
Explores how compilers translate high-level languages into machine-understandable code, offering practical experience with developing compilers for various languages. Also covers reasoning about compiler correctness and understanding runtime errors.
No concepts data
+ 28 more conceptsUniversity of Washington
Summer 2022
This course provides an understanding of systems in computing, focusing on operating systems, networking, and C/C++ languages. Students learn about low-level data representation, memory management, system interactions, and efficient programming workflows. It delves into C++ idioms, network protocols, and concurrency. Prior knowledge of C programming and Linux tools is required.
No concepts data
+ 36 more conceptsThe University of Massachusetts Amherst
Spring 2023
This course introduces computer programming and problem-solving. Students learn using a modern language, covering variables, data types, branching, functions, classes, and methods. Emphasis is on real-world problem translation, computational understanding, and debugging.
No concepts data
+ 30 more conceptsStanford University
Spring 2023
This is an introductory course offering step-by-step instruction on key programming concepts with Python, including control flow, decomposition, data science, and more. Students are guided through exercises to learn by doing.
No concepts data
+ 21 more conceptsUC Berkeley
Fall 2022
This course provides an introduction to computer science with an emphasis on functional programming, data abstraction, object-oriented programming, and program complexity. The course teaches foundational programming concepts primarily in Python.
No concepts data
+ 24 more conceptsStanford University
Winter 2023
CS 103 introduces mathematical logic, proofs, and discrete structures, paving the way to an understanding of computational problem-solving. It encourages a profound appreciation of mathematical beauty while addressing concepts like finite automata and regular expressions. CS106B is a prerequisite or corequisite. The course also incorporates programming assignments.
No concepts data
+ 10 more concepts