Agile Project Management Certificate
Hours - 15 Credit Hours
Effective Sep. 2017
Last Revision 9/19/2022
Holokai Category: Professional Studies
Sponsoring Program: Information Systems
Faculty Unit Assignment: Faculty of Math & Computing
Program Requirements
Required Coursework — 15 Credits
| Course Number | Title | Semesters Offered | Credit Hours | Prerequisites |
|---|---|---|---|---|
| CIS 101 | Beginning Programming | F, W, S | 3.0 | |
| CIS 202 | Object-Oriented Programming I | F, W, S | 3.0 | CIS 101 |
| CIS 305 | Systems Engineering I | F, W | 3.0 | CIS 202 |
| CIS 405 | Systems Engineering II | W, S | 3.0 | CIS 305, IS 350 |
| IS 485 | Project Management and Practice | F, S | 3.0 | CIS 405 |
Additional Program Requirements
For this certificate, students must complete at least 9 CIS, CS, IS, or IT credits that are not applied to other BCIS, CS, IS, or IT majors, minors or certificates.
All passing grades will be accepted in fulfilling minor or certificate requirements.
Program Outcomes
Upon completing a major in computer science, a student will have:
- An ability to apply knowledge of computing and mathematics appropriate to the discipline.
- An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution.
- An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs.
- An ability to function effectively on teams to accomplish a common goal.
- An understanding of professional, ethical, legal, security and social issues and responsibilities.
- An ability to communicate effectively with a range of audiences.
- An ability to analyze the local and global impact of computing on individuals, organizations, and society.
- Recognition of the need for and an ability to engage in continuing professional development.
- An ability to use current techniques, skills, and tools necessary for computing practice.
- An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.
- An ability to apply design and development principles in the construction of software systems of varying complexity.