Preview this course in the non-credit experience today!
Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you upgrade and pay tuition. See How It Works for details.
Cross-listed with DTSA 5714
- Course Type: Pathway | Breadth
- Specialization: Software Architecture for Big Data
- Instructors: Dr. Tyson Gern, Instructor, and Mike Barinek, Instructor
- Prior knowledge needed: Content covered in CSCA 5008: Fundamentals of Software Architecture for Big Data and CSCA 5018: Software Architecture Patterns for Big Data
Course Description
This course is the third in a three part series. You could think of the project in this course as the capstone or the project for the earlier two courses, Applications of Software Architecture for Big Data. You will create something that's going to go out and collect data. You're going to have something that analyzes data and then a web application that then displays that data. You will build, deploy, run it. This course and project are what you might do out and about in the industry building software.
Learning Outcomes
Course Grading Policy
Students will submit their final prject for peer reviews.
Below is a rubric that you can use as a guide for your project:
A Level Work |
B Level Work |
C Level Work |
---|---|---|
|
|
|
The above rubric has three columns. The right most column ("C Level Work (7 items)"), contains the seven most minimum requirements for the project, whilst the leftmost column ("A Level Work (13 items)"), encompasses all the requirements for a complete project. A good procedure for completing the project would be to start completing requirements from the right column and transition through to all the requirements in the left column.