Introduction
The graduate designated emphasis (DE) leading to the degree notation “with an emphasis in Human Language Media and Modeling Designated Emphasis” (HLMM) is a collaboration of faculty from the Departments of Computer Science and Engineering, Linguistics, and Psychology. This DE is administered by the Department of Computer Science and Engineering. Students wishing to complete a master’s thesis, project, or doctoral dissertation in this area must satisfy the degree requirements of a primary program as well as those of the DE. The DE is most suitable for students pursuing degrees in linguistics, computational media, computer science and engineering, and psychology. However, students from any area may work in this interdisciplinary field as long as they meet all requirements, including progress, within the primary degree program.
The current HLMM DE faculty are:
- Pranav Anand, Linguistics
- Jeffrey Flanigan, Computer Science and Engineering
- Jean E. Fox Tree, Psychology
- Yi Zhang, Computer Science and Engineering
Requirements
All students must demonstrate an understanding of human language media and modeling designated emphasis, through prior work and the completion of a set of HLMM DE electives or courses.
Committee Composition and Departmental Approvals
The student’s M.S. project or thesis, or Ph.D. qualifying exam, or Ph.D. committee must include one member of the HLMM DE faculty.
Course Requirements
All students must complete three 5-credit graduate core courses from the approved list of courses and two offerings of a 2-credit seminar course.
List of Approved Courses
Three 5-credit courses, plus two 2-credit seminars are required, chosen from the list of approved courses:
| CSE 240 | Artificial Intelligence | 5 |
| CSE 245
/LING 245/CMPM 245
| Computational Models of Discourse and Dialogue | 5 |
| CSE 244B | Machine Learning for Natural Language Processing | 5 |
| CSE 290K | Advanced Topics in Natural Language Processing | 5 |
| CSE 243 | Data Mining | 5 |
| CSE 272 | Information Retrieval | 5 |
| STAT 266C
/CSE 266C
| Introduction to Data Wrangling | 3 |
Seminar Course List
| CSE 280Z | Seminar in Natural Language Processing and Dialogue | 2 |
| NLP 280 | Seminar in Natural Language Processing | 2 |
Writing, Research and/or Teaching Requirements
The student’s dissertation or master’s project or thesis must demonstrate knowledge of, and orientation to, research issues related to HLMM.
Proficiency Requirements
All students must demonstrate an understanding of Natural Language Processing, through prior work and the completion of a set of HLMM electives or courses.