Machine Learning (MSIT)
The Machine learning and Human-computer Interaction specialization curriculum prepares students for careers in machine learning, artificial intelligence, and human computer interaction. The study of machine learning and human computer interaction brings together original research and review articles discussing the latest developments in the field of human-machine interaction based on machine learning and to create a conversation between people and machines that seems natural and intuitive. Human Computer Interaction (HCI) focuses on the design, evaluation, and use of information and communication technologies with an explicit goal to improve user experiences, task performance, and quality of life. HCI is currently being shaped and shaping the applications of artificial intelligence (AI) and intelligent augmentation (IA). This is leading to the rapid emergence of new and exciting research topics. These topics and the questions derived from them are extending and challenging our current theoretical foundations and research methodologies.
The student who graduates with a major in Machine learning and Human-computer Interaction will be able to:
The program learning outcomes (PLOs) set out the academic learning, skills, and achievements that the student must reliably demonstrate before graduation.
Upon successful completion of the courses in the Machine learning and Human-computer Interaction program, the graduating students shall demonstrate:
|Advance Computer Networks
|Software Project Management
|Advanced Database Management System
|Software Testing and Quality Assurance
|Advanced Java Programming
|Human Computer Interaction
|Machine Learning & Human -Computer Interaction
|Computational Data Analysis
Bachelor of Science in Information Technology
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