Tuition Fee
Start Date
Medium of studying
Duration
12 months
Program Facts
Program Details
Degree
Courses
Major
Artificial Intelligence | Computer Science
Area of study
Information and Communication Technologies
Course Language
English
About Program
Program Overview
Through coursework in computational linguistics, natural language processing, and machine translation, students gain the knowledge and skills to work with language-based technologies and contribute to the advancement of information systems and services. The minor is offered in collaboration with various departments and disciplines, equipping graduates with competencies in emerging areas of information management and technology.
Program Outline
Degree Overview:
- Program Type: Minor
- Format: On Campus
- Estimated Time to Complete: 2-3 Semesters
- Credit Hours: 18 It covers computational linguistics, natural language processing, machine translation, and artificial intelligence.
- Objectives: The program aims to provide graduates with the knowledge needed to work with language-based technologies such as speech recognition, speech synthesis, machine translation, search engines, and computer-assisted services. Graduates will also gain a better understanding of human-computer interaction issues and interfaces. The minor's objectives are for students to demonstrate knowledge and skills related to:
- Professional practices necessary to succeed in information-related occupations, and to pursue a professional master's degree.
- The philosophy, principles, and legal and ethical responsibilities of the field.
Other:
- Collaboration: The Department of Linguistics collaborates with Library and Information Science, Learning Technologies, and Computer Science to develop innovative curricula that incorporate research on language with database design and management, text mining, computational and quantitative methods in linguistics, and natural language processing.
- Course Examples: The text provides a list of potential courses students could take within the minor, including:
- Introduction to Linguistics (3 hrs)
- Morphology (3 hrs)
- Discovering Language from Data (3 hrs)
- Computational Linguistics (3 hrs)
- Special Problems (1-3 hours)
- Digital Curation and Preservation (3 hrs)
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