C Programming: Language Foundations - 2
This course is part of C Programming with Linux Specialization.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full C Programming with Linux Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Master logic conditions and control flow
Implement arrays and string manipulation
Create efficient loops and nested structures
Develop basic sorting and searching algorithms
Write structured and organized code
Skills you'll gain
This course includes:
1.18 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course builds on basic C programming knowledge to teach fundamental programming concepts. Students learn to use logical conditions for decision-making, implement arrays for data storage, and create loops for repetitive tasks. The curriculum includes hands-on practice with string manipulation, sorting algorithms (bubble sort, selection sort), and searching techniques (linear search, bisection). Special emphasis is placed on practical application through coding exercises.
Welcome
Module 1 · 1 Hours to complete
Week 1: Logic conditions and if-else statements
Module 2 · 3 Hours to complete
Week 2: Arrays, for and while loops
Module 3 · 4 Hours to complete
Week 3: Strings, sort and search algorithms
Module 4 · 4 Hours to complete
Concluding the course
Module 5 · 7 Minutes to complete
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 Specialization
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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