MSCS3999
CAPSTONE
- Department
- Master of Sci in Computer Sci.
- Terms offered
- 7
- Data refreshed
- Jun 27, 2026
Description
The course is structured as a consulting experience, with specific instructions, primarily during the first few weeks of the term on interpersonal aspects of the interaction of the Consultant and his/her Client and on the process of ensuring that the Consultant is working on the "right problem" commonly known as requirements gathering. The intent of the course structure is to give the student the experience of applying the knowledge acquired in the classroom courses of the MSCS Program, along with the experience they bring, and apply the to a real world problem on behalf of a real client with an actual need. Students be assigned client and project from a list of organizations this course has obtained. Working in teams of 2-4, students will receive a request from a client, develop a Statements of Requirements, develop a simplified contract with the client, research possible solutions develop a reference architecture linking the clients existing system or process with the new or replacement capability and make a recommendation in addition to providing the appropriate supporting documentation. If this process is successful, the students will gain not only the experience but also take away a meaningful detail for their resume and a Client who could provide a future reference. Students should take the Capstone course near the end of their graduate program (at least after two full semesters in the program). To register, students must seek permission from their academic advisor. Some meetings required
Syllabi
Sign in with your @clarku.edu email to view syllabi.
Offering history & forecast 2023–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 37% chance, low confidence. Offered in every fall term since 2024. Department course count falling about 2% per year. Department faculty is about 18% below its recent average. | 2030 Spring: 46% chance, low confidence. Offered in every spring term 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: 41% chance, low confidence. Offered in every fall term since 2024. Department course count falling about 2% per year. Department faculty is about 18% below its recent average. | 2029 Spring: 50% chance, low confidence. Offered in every spring term since 2023. Section count rising about 1% per year over 2 terms. 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: 45% chance, low confidence. Offered in every fall term since 2024. Section count rising about 1% per year over 3 terms. Department course count falling about 2% per year. Department faculty is about 18% below its recent average. | 2028 Spring: 54% chance, low confidence. Offered in every spring term since 2023. Section count rising about 1% per year over 3 terms. 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: 48% chance, low confidence. Offered in every fall term since 2024. Section count rising about 1% per year over 3 terms. Department course count falling about 2% per year. Department faculty is about 18% below its recent average. | 2027 Spring: 57% chance, low confidence. Offered in every spring term 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 | 1 section | Not offered | No data for this term |
| 2025 | 1 section | 2 sections | Not offered | Not offered |
| 2024 | 2 sections | 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- Thu, 6:30 PM–9:30 PM Sackler Science Center S121 20262025
- Wed, 6:30 PM–9:30 PM Jefferson Academic Center JF320 20262025-12025-22024
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Sufyan Almajali | Seminar/Proseminar | 1 | 16 of 60 enrolled | 23351 |
| Spring 2026 | Sufyan Almajali | Seminar/Proseminar | 1 | 40 of 35 enrolled | 32585 |
| Fall 2025 | Sufyan Almajali | Seminar/Proseminar | 1 | 19 of 60 enrolled | 23351 |
| Spring 2025 | Sufyan Almajali | Seminar/Proseminar | 1 | 72 of 60 enrolled | 32585 |
| Spring 2025 | Larz G. White | Seminar/Proseminar | 1 | 43 of 30 enrolled | 34078 |
| Fall 2024 | Larz G. White | Seminar/Proseminar | 1 | 13 of 30 enrolled | 23348 |
| Fall 2024 | Sufyan Almajali | Seminar/Proseminar | 1 | 56 of 60 enrolled | 23351 |
| Spring 2024 | Sufyan Almajali | Seminar/Proseminar | 1 | 61 of 60 enrolled | 32585 |
| Spring 2023 | Sufyan Almajali | Online | 1 | 21 of 25 enrolled | 32585 |