| Course ID: | CSCI 1360. 4 hours. |
| Course Title: | Foundations for Informatics and Data Analytics |
Course
Description: | 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
analyses 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 1360E |
| Prerequisite: | MATH 1113 or MATH 1113E |
Semester Course
Offered: | Not offered on a regular basis. |
| 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 structure (lists, arrays, dictionaries, matrices)
Vectorized programming
Linear algebra and statistics
Data preparation and preprocessing
Importing and creating external packages
Data plotting and visualization |