Classes are subject to change at any time. Any course may be withdrawn from the current listing if the enrollment is too small to justify conducting the course or as a result of a reduction in funding.
COSC 1315 | Intro to Computer Science Hours: 3 |
01E | 20392 | MW 9:00a-9:50a Location: SCIT 215 Ren, Rong | 24 | 22 | |
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CS 310 | Analysis of Algorithms Hours: 3 |
001 | 20393 | MW 3:00p-4:15p Location: SCIT 215 Pelosi, Michael | 24 | 10 | |
| Meets 1/17/2023 – 5/10/2023 Vita Syllabus Books/MaterialsPrerequisites: Lvl UG COSC 1321 Min Grade D or Lvl UG MATH 2305 Min Grade D Campus: Main Campus (Texarkana, TX) Instructional Method: FACE | |
CS 352 | Java Programming Hours: 3 |
01E | 20395 | MW 11:00a-11:50a Location: SCIT 215 Bhadauria, Vikram | 24 | 12 | |
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CS 360 | Artificial Intelligence Hours: 3 |
001 | 20396 | MW 1:30p-2:45p Location: SCIT 215 Ren, Rong | 24 | 19 | |
| Meets 1/17/2023 – 5/10/2023 Vita Syllabus Books/MaterialsPrerequisites: Lvl UG COSC 1315 Min Grade D Campus: Main Campus (Texarkana, TX) Instructional Method: FACE | |
CS 361 | Database System & Design Hours: 3 |
001 | 20397 | TR 9:30a-10:45a Location: SCIT 215 Reavis, David | 18 | 17 | |
| Meets 1/17/2023 – 5/10/2023 Vita Syllabus Books/MaterialsCross-listed with MIS 361 (20520)
Campus: Main Campus (Texarkana, TX) Instructional Method: FACE | |
CS 410 | Operating Systems Hours: 3 |
01E | 20398 | MW 11:00a-11:50a Location: SCIT 213 Ren, Rong | 24 | 14 | |
| Meets 1/17/2023 – 5/10/2023 Vita Syllabus Books/MaterialsPrerequisites: Lvl UG CS 332 Min Grade D Campus: Main Campus (Texarkana, TX) Instructional Method: WEE | |
CS 481 | Software Project Management Hours: 3 |
001 | 20404 | TR 1:00p-2:15p Location: SCIT 215 Jung, Yusun | 24 | 15 | |
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CS 491 | CS Senior Design II Hours: 3 |
01S | 20481 | F 9:00a-11:50a Location: UC 210 Morsy, Mohamed;Uddin, Md. | 20 | 18 | |
| Meets 1/17/2023 – 5/10/2023 Vita Syllabus Books/MaterialsCross-listed with EE 491.R1R, EE 491.01S, MEEN 491.01S
Prerequisites: Lvl UG CS 490 Min Grade D Campus: Main Campus (Texarkana, TX) Instructional Method: TTVN | |