A required course in the Python for Data Science, Web and Core Programming Specialized Studies Program.
Course closed to new registrations:
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This course will introduce students to basic computer science knowledge to get more efficient with python programming. Topics will include recursion, linear data structures (arrays, stacks, queues, linked lists, doubly linked lists), trees and graphs, maps and hash tables. Students will also learn the basics of object-oriented programming using Python classes. The course will focus on data-science applications for these concepts. By the end of the course, students will be able to think computationally when solving data-related problems and assess and develop algorithms. Students will also be able to be self-sufficient taking on more advanced concepts and advanced courses. Prerequisites: I&C SCI X426.64 Introduction to Programming for Python or I&C SCI X426.62 Python for Data Analysis.
Prerequisites: I&C SCI X426.64 Introduction to Programming for Python or I&C SCI X426.62 Python for Data Analysis.
William J. Henry, M.S., is a scientific programmer at the Navy Research Laboratory in Monterey where he regularly develops data based applications in Python. Previously, at EarthRisk Technologies, he led the development of a neural network ensemble temperature forecast model.
Textbooks for your course may be purchased from any vendor or bookseller of your choice.
No textbooks are required for this course.
|Event||Date||Day||Start Time||End Time||Location||Room
|START||03/29/2021||Monday||---||---||Online (Access Begins)||---
|END||05/16/2021||Sunday||---||---||Online (Access Ends)||---