This course is part of C Programming with Linux.
Enhance your C programming skills with this comprehensive course on advanced data types and structures. Learn to define custom data types, create and manipulate structures, and implement dynamic linked lists. Practice with an innovative browser-based coding tool that provides instant feedback. The course focuses on efficient data storage and processing techniques, memory management, and practical implementation of complex data structures.
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English
English
What you'll learn
Define and implement custom data types using structures
Manage memory efficiently with structure pointers and operators
Create and manipulate dynamic linked lists
Implement sorting and searching algorithms for structured data
Understand memory allocation for complex data structures
Develop efficient data storage and processing solutions
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This course provides advanced instruction in C programming, focusing on complex data types and structures. Students learn to create and manage custom data types, understand memory usage in structures, and implement dynamic data structures like linked lists. The curriculum emphasizes practical application through hands-on coding exercises using a browser-based development environment that provides immediate feedback. Special attention is given to memory management and efficient data organization.
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
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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