| Course ID: | CSCI 1360E. 4 hours. |
| Course Title: | Foundations for Informatics and Data Analytics |
Course
Description: | Provides an introduction to concepts in scientific programming
and data science using the Python language. Students are given
hands-on opportunities to learn techniques applicable to
quantitative analysis across a broad range of fields. Core
programming concepts are taught in tandem with real-world
applications. |
| Oasis Title: | Informatics and Data Analytics |
| Duplicate Credit: | Not open to students with credit in CSCI 1360 |
| Nontraditional Format: | This course will be taught 95% or more online. The course
content is delivered fully online; students will utilize the
features of eLC and GitHub to access a variety of experiences
involving text and multimedia presentations of content,
intensive practice, online discussion, and expert support.
Quizzes and proctored exams will also be offered through a
combination of online and in-person proctored sessions, which
may have proctoring fees associated with them. |
| Prerequisite: | MATH 1113 or MATH 1113E |
Semester Course
Offered: | Offered summer semester every year. |
| Grading System: | A-F (Traditional) |
|
| Course Objectives: | Provides an introduction to concepts in scientific programming
and data science using the Python language. Upon the conclusion
of this course, students should be able to formulate solutions
to problems in a broad range of fields in terms of their inputs
and outputs (functional programming), repeated operations
(loops), branching operations (conditionals), different methods
of organizing data (data structures), how to implement an
optimal problem-solving strategy (algorithm design), and how to
visualize and interpret results. |
| Topical Outline: | •Introduction to data science
•Functional programming
•Loops, conditionals, variables, functions, control flow
•Data structures (lists, arrays, dictionaries, matrices)
•Vectorized programming
•Linear algebra and statistics
•Data preparation and preprocessing
•Importing and creating external packages
•Data plotting and visualization |