Directories and Search

Course Search

Courses may be offered in one of the following modalities:

Traditional in-person courses (0–29 percent of coursework is delivered online, the majority being offered in person.)
Hybrid/blended courses (30–79 percent of coursework is delivered online.)
Online courses (100 percent of coursework is delivered online, either synchronously on a designated day and time or asynchronously as a deadline-driven course.)
Hyflex (Students will be assigned to attend in-person or live streamed sessions as a reduced-size cohort on a rotating basis; live sessions are also recorded, offering students the option to participate synchronously or view asynchronously as needed.)

If you are enrolled in courses delivered in traditional or hybrid modalities, you will be expected to attend face-to-face instruction as scheduled.

Data Engineering Bootcamp (CSC-520)

Semester:	Summer 2024
Number:	0145-520-001
Instructor:	TBA
Days:	Friday 11:15 am - 12:30 pm
Note:	Hybrid Online/In-Person Class
Location:	Garden City - Swirbul Library 101
Credits:	3
Course Meets:	July 12 - August 22
Notes:	This Course Is Offered In An Intensive 5-Day Per Week Bootcamp-Style Online Format. Expect Homework In Addition To Lecture And Lab. Meets Synchronously On 7/22, 7/26, 8/2, 8/9, 8/16
Course Materials:	View Text Books
Description:	After completion of this course, students will be able to design and build data-driven applications using techniques grounded in software engineering. Students will learn to design and implement relational databases, elicit user requirements, and build models in Unified Modeling Language.
Learning Goals:	After completing this course, students will be able to:O1: Name and describe the stages of software engineeringO2: Define and discuss Agile Development Methods vs. Waterfall-based development methodsO3: Choose a development methodology relevant to a problemO4: Name and describe the stages of the requirements engineering processO5: Create and interpret Unified Modeling Language diagrams for Use Case Analysis, Control Flow, and DataO6: Describe the primitives of the relational modelO7: Describe and define entity-integrity and referential integrity.O8: Use primary and foreign keys in database designO9: Explain the need for data normalization and explain the steps involved.O10: Develop and interpret SQL queries using selection, project, joins, aggregate functions, and nested queriesO11: Use the R programming language to load, analyze and visualize data *The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here.

» View Other Sections of this Course

« Back to Search Results

Apply Now
Request Information