C Programming: Memory Management and Modular Programming
This course is part of C Programming with Linux.
This comprehensive course, part of the C Programming with Linux Professional Certificate, introduces students to modular programming and memory management in C. Learn to write functions, understand computer memory organization, and master pointers through innovative visualization tools. Practice coding with instant feedback using a browser-based development environment. The course covers fundamental programming concepts applicable across languages, focusing on breaking complex tasks into manageable pieces. By course completion, students gain practical skills in memory addressing, pointer manipulation, and efficient code organization.
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What you'll learn
Break down complex programming tasks into modular functions
Create and implement custom functions with argument passing
Understand computer memory organization and variable storage
Master pointer concepts and memory addressing
Perform pointer arithmetic operations effectively
Develop efficient and organized code using modular programming principles
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course focuses on fundamental concepts in C programming, particularly modular programming and memory management. Students learn to break down complex programming tasks into functions, understand computer memory organization, and work with pointers. The course emphasizes practical application through hands-on coding exercises in a browser-based environment with instant feedback. Topics covered include function creation and usage, memory addressing, pointer arithmetic, and efficient code organization. The course is designed to build foundational programming skills applicable across various programming languages.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: C Programming with Linux
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Instructors
Professor of Engineering | Associate Dean for Diversity and Inclusion
Petra Bonfert-Taylor is a Professor and the Associate Dean of Diversity and Inclusion at Dartmouth College's Thayer School of Engineering. She earned her Ph.D. in Mathematics from the Technical University of Berlin in 1996 and spent three years as a postdoctoral fellow at the University of Michigan before joining Wesleyan University as a tenure-track professor. During her time at Wesleyan, she created the course "Introduction to Complex Analysis" (available on Coursera). In 2015, she transitioned to Dartmouth as a tenured full professor. Petra has an extensive record of publications and has delivered lectures to both national and international audiences. Her research has been supported by numerous grants from the National Science Foundation, and she is equally committed to teaching. She has received multiple accolades, including the Binswanger Prize for Excellence in Teaching at Wesleyan University, the Excellence in Teaching Award at Dartmouth’s Thayer School of Engineering, and the NH High Tech Council Tech Teacher of the Year Award. Petra is deeply committed to broadening access to high-quality education and developing innovative teaching methods that provide equal opportunities for students from all backgrounds.
Innovator in Autonomic Computing and Education at Telecom Paris
Rémi Sharrock is an Associate Professor at Telecom Paris, where he specializes in autonomic computing and its applications to large-scale distributed systems, including cloud computing and smart grids. With a strong emphasis on computer science education, he has developed innovative teaching methodologies, including a series of MOOCs focused on programming in C, which have garnered recognition for their effectiveness in enhancing student learning. Dr. Sharrock's research interests also encompass self-organization and self-adaptive software, contributing to advancements in how systems can autonomously manage resources and adapt to changing conditions. His commitment to integrating practical applications with theoretical knowledge makes him a significant figure in both academic and industry circles, as he continues to influence the next generation of engineers and computer scientists through his teaching and research initiatives.
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