Computational Linguistics Graduate Certificate
Graduate Certificate in Computational Linguistics
This graduate certificate is intended to document foundational skills and expertise in computational linguistics and natural language processing (NLP), mainly for students in computer science and students in linguistics. The course work for the certificate aims to overcome the common lack of foundational knowledge in both pillars of this multidisciplinary field, computer science and linguistics, introducing the basic issues in these fields as they are relevant to computational linguistics. A group of 4 required courses needs to be passed, in addition to an appropriate elective from a selection of possible courses (15 credit hours total). The four courses comprise one introductory class to teach basic principles in each discipline (CSCI 515, ENG 555) and one advanced class each dedicated to applications (CSCI 501, ENG 685). Achievement of the certificate documents solid training and education in Computational Linguistics across the disciplines as an asset for students joining the workforce. Please contact Dr. Christian F. Hempelmann at c.hempelmann@tamuc.edu for more information.
| Courses (15 semester hours) | ||
Required (12 semester hours) | ||
| CSCI 515 | Fundamentals Of Programming C/C++ | 4 |
| ENG 555 | General Linguistics | 3 |
| CSCI 501 | Intro to Computational Science | 3 |
| ENG 685 | Computational Linguistics | 3 |
| Electives (3 semester hours) from the following: | ||
| CSCI 532 | Algorithm Design | 3 |
| CSCI 538 | Artificial Intelligence | 3 |
| CSCI 549 | Automata Theory | 3 |
| ENG 686 | Quantitative Methods for Linguists | 3 |
| ENG 697 | Special Topic | 3 |
Note: Any prerequisites for this courses that aren't fulfilled by the other courses for the certificate will be waived by the respective instructors. | ||
| Total Hours | 15 | |
Note: Coursework must be completed at Texas A&M University-Commerce with a 3.0 GPA on all courses used for graduate certificate. (No Substitutions)