Knowledge Engineering

The Bachelor of Computer Science in Knowledge Engineering degree program focuses on teaching students how to capture, represent, and leverage human knowledge within computer systems.

B.C.Sc. (KE) typically falls under the broader category of computer science or related fields. Knowledge Engineering is an interdisciplinary field that combines aspects of artificial intelligence, machine learning, data science, and computer science to develop systems that can capture, represent, and utilize knowledge effectively.

B.C.Sc. (KE) is designed to provide students with a strong foundation in the theory and practical applications of knowledge engineering.  Program will equip students with the skills and knowledge necessary to develop intelligent systems, knowledge-based decision support systems, and data-driven solutions. Students will gain expertise in machine learning, data analysis, knowledge representation, and software development.

The aims of Knowledge Engineering bachelor’s degree are:

• to provide students with a robust foundation in artificial intelligence, machine learning, and data science.
• to equip students with the knowledge and skills to design, develop, and maintain knowledge-based systems that can effectively capture, represent, and utilize domain-specific information.
• to foster expertise in various knowledge representation and reasoning techniques, natural language processing, and data mining.
• to develop critical thinking, problem-solving, and innovation skills, enabling graduates to create intelligent systems, automated decision-making processes, and data-driven solutions that have applications in a wide range of industries, from healthcare to finance and beyond.
• to produce professionals who are adept at harnessing knowledge and data to drive innovation and address complex real-world challenges.

• Logic Programming and Artificial Intelligence
• Multiagent Programming with JADE
• Machine Learning and Data Mining
• Knowledge Engineering for Expert Systems
• Data Science for Business
• Robotic Systems
• Computational Linguistics
• Semantic Web and Ontology Engineering
• Computer Graphics and Computer Vision