MSCS3250
SOFTWARE DESIGN/ARCHITECTURE
- Department
- Master of Sci in Computer Sci.
- Terms offered
- 4
- Data refreshed
- Jun 27, 2026
Description
This course introduces the students to the principles, techniques and tools that are used to design and architect large scale software systems. First, it will introduce standard software architectures. Next, it will discuss in detail the state of art architectural styles such as: Service Oriented Architecture (SOA), microservices, the API 1 st , modeling and design patterns related to those architectural styles. The course will shed light on tradeoff between the selected architectural style and performance, scalability, and security as well as software tools and development stack. Finally, the course will introduce architecture governance topics such as: architecture development method (ADM), documentation, and quality metrics.
Syllabi
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Offering history & forecast 2023–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: 21% chance, low confidence. Offered in 2 of 4 spring terms since 2023. Department faculty is about 28% below its recent average. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: 22% chance, low confidence. Offered in 2 of 4 spring terms since 2023. Department faculty is about 28% below its recent average. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: 23% chance, low confidence. Offered in 2 of 4 spring terms since 2023. Department faculty is about 28% below its recent average. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: 24% chance, low confidence. Offered in 2 of 4 spring terms since 2023. Department faculty is about 28% below its recent average. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | 1 section | Not offered | Not offered | No data for this term |
| 2025 | 1 section | Not offered | Not offered | Not offered |
| 2024 | Not offered | 1 section | Not offered | Not offered |
| 2023 | Not offered | 1 section | Not offered | Not offered |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first- Tue, 6:30 PM–9:30 PM ONLINE 2025
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Firas S. Khasawneh | Online | 1 | 2 of 30 enrolled | 24209 |
| Fall 2025 | Firas S. Khasawneh | Online | 1 | 17 of 30 enrolled | 24209 |
| Spring 2024 | Firas S. Khasawneh | Online | 1 | 26 of 30 enrolled | 33279 |
| Spring 2023 | Firas S. Khasawneh | Online | 1 | 12 of 30 enrolled | 32608 |