Programming Fundamentals
Master essential programming concepts and problem-solving skills through algorithm development and code reading in C.
Master essential programming concepts and problem-solving skills through algorithm development and code reading in C.
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 Introductory C Programming 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.
4.7
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English
বাংলা, اردو, Tiếng Việt, 2 more
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What you'll learn
Develop algorithms using the Seven Steps process
Read and understand programming code effectively
Master basic programming concepts and data types
Implement sorting algorithms and problem-solving techniques
Skills you'll gain
This course includes:
4 Hours PreRecorded video
18 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course introduces fundamental programming concepts through the C language. Students learn the Seven Steps problem-solving process for algorithm development, along with essential programming concepts including variables, functions, control structures, and data types. The curriculum covers both theoretical understanding and practical implementation, from basic algorithms to binary operations and custom data types. Through hands-on exercises and quizzes, participants develop strong foundational programming skills.
Introduction
Module 1 · 2 Hours to complete
Reading Code
Module 2 · 7 Hours to complete
Types
Module 3 · 6 Hours to complete
Project
Module 4 · 1 Hours to complete
Fee Structure
Instructors
Associate Professor of the Practice
Andrew Hilton is an Associate Professor of the Practice in the Department of Electrical and Computer Engineering at Duke University's Pratt School of Engineering, where he has been teaching since 2012. Before joining Duke, he worked as an advisory engineer at IBM. One of the key courses he teaches is ECE 551, an intensive introduction to programming designed to equip graduate students with no prior experience to master programming and tackle advanced courses. In 2015, Professor Hilton received the Klein Family Distinguished Teaching Award for his excellence in teaching. He holds a Ph.D. in Computer Science from the University of Pennsylvania.
Assistant Professor of the Practice at Duke University
Dr. Genevieve M. Lipp is an Assistant Professor of the Practice in the Electrical and Computer Engineering and Mechanical Engineering and Materials Science departments at Duke University. She teaches a variety of courses, including programming in C++, dynamics, control systems, and robotics. Dr. Lipp is passionate about integrating technology into education to enhance learning outcomes and has previously worked in the Center for Instructional Technology at Duke. She holds a Ph.D. in mechanical engineering, focusing on nonlinear dynamics, as well as a B.S.E. in mechanical engineering and a B.A. in German, both from Duke University. In addition to her teaching responsibilities, she serves as the Director of the Duke Engineering First Year Computing program, where she focuses on improving computing education within the engineering curriculum and fostering students' self-efficacy in their studies.
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4.7 course rating
6,805 ratings
Frequently asked questions
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