Master of Science in Computational Linguistics (CL) by Research
Program Educational Objectives (PEOs)
After completion of this program successfully, the graduates will be able to:
PEO 1: Demonstrate critical thinking and problem-solving abilities to handle the real-world problems by transforming theoretical knowledge to practice
PEO 2: Demonstrate the requisite breadth and depth of knowledge in advanced areas of Natural Language Processing to excel in research-centric industry and academic environments
PEO 3: Exhibit inter-personal skills required to function effectively in a varied, dynamic, and inter-disciplinary teams
PEO 4: Demonstrate the keenness for collaborative research and engagement with peers and lead innovation and development in major areas.
PEO 5: Practice ethics and human values in their profession.
Program Outcomes (POs)
After completion of Master of Science in Computational Linguistics, the Postgraduates will be able to
PO1: Engineering Knowledge: Use concepts from various disciplines in Computational Linguistics, Computer Science, Mathematics, Machine Learning and Artificial Intelligence, to develop systems related to Language Technologies
PO2: Design/Development of solutions: Identify and use the necessary NLP and IRE concepts to arrive at critical and creative ways to solve problems that is largely beneficial to society.
PO3: Modern tool usage: Demonstrate hands-on skills to work with various software packages used in NLP Industry, and apply appropriate techniques, resources, and modern tools to model and predict complex engineering problems, with an understanding of the limitations of the tools
PO4: Project management: Apply the principles of project management in Computational Linguistics, with focus on data collection, data pre-processing, feature extraction and model development
PO5: Collaboration with Peers: Work efficiently in individual and team-oriented projects of varying size, recognize its positive influence in professional accomplishments, and actively engage in collaboration and teamwork to execute complex research and engineering tasks
PO6: Environment and sustainability: Develop sustainable technological solutions to language problems for minority and lesser resource languages
PO7: Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice
Program Specific Outcomes (PSOs)
PSO1: Exhibit broad basic knowledge in sub-areas of Computational Linguistics such as Machine Translation, Information Retrieval and Extraction, Speech Processing, QA, Dialog Systems etc.
PSO2: Demonstrate research skills and research aptitude to identify problems in NLP using advanced techniques of Computer Science, to improve the State of the Art in Language Technologies Research
PSO3: Exhibit critical thinking and creative abilities to formulate novel and relevant research problems in Computational Linguistics, and provide meaningful solutions to less resource languages
PSO4: Apply the knowledge and skills acquired during the program towards developing language models for Indian languages
Page last updated on November, 2022