Genevieve Lipp teaches courses in the Electrical and Computer Engineering and Mechanical Engineering and Materials Science departments at Duke University, including programming in C++, dynamics, and control systems. She worked previously in the Center for Instructional Technology at Duke and is passionate about using technology to promote learning. She has a Ph.D. in mechanical engineering in the field of nonlinear dynamics, and she earned a B.S.E. in mechanical engineering and a B.A. in German as an undergraduate at Duke University.
Coursera
Dive into the advanced concepts of C programming with our 'Pointers, Arrays, and Recursion' course. This specialized module is designed for programmers looking to enhance their skills in handling memory locations (pointers), managing data sets (arrays), and implementing algorithms via self-referential functions (recursion).
Coursera
Discover how to harness the full potential of Python for data science by mastering the Pandas library in this engaging course. Designed for those looking to refine their data analysis techniques, you'll learn essential skills like cleaning, sorting, and storing data effectively. This course is perfect for anyone aiming to become a proficient data scientist.
Coursera
Discover the fundamentals of programming with our beginner-friendly course, ideal for those new to coding or looking to expand their skill set. This introductory course lays down the groundwork necessary for understanding algorithms and problem-solving techniques that are crucial across all programming languages. Whether you're aiming for a career in software development or simply wish to enhance your analytical thinking skills, this course is your starting point.
Coursera
Dive into 'Writing, Running, and Fixing Code in C' on Coursera—a course designed to build upon your programming basics by teaching you how to effectively plan, write, compile, run, test, and debug code. This structured approach will help you develop a systematic problem-solving framework for efficient coding.
Coursera
Dive into the final module of our Introduction to Programming in C specialization. Learn how to enhance your coding skills by mastering sophisticated uses for pointers like working with strings and multi-dimensional arrays. Gain expertise in reading and writing files, taking user inputs, and managing memory dynamically. This course will equip you with powerful tools to create more interactive and efficient programs.
Coursera
Embark on a comprehensive introduction to Python programming designed for beginners. This course covers essential skills like algorithmic thinking, Python syntax, code testing, debugging techniques, and modular code development. Ideal for those new to coding who aspire to build a career in software engineering, web development, or data science.
Coursera
Embark on a journey to become proficient in Data Science with our beginner-friendly course focusing on NumPy, sets, and dictionaries. This course is designed for aspiring programmers looking to break into the dynamic field of data science. Whether you're aiming to be a data scientist, software developer, data analyst, machine learning engineer, data engineer, or database administrator, this course provides the essential skills needed to succeed.