Decision Support System - Syllabus
Embark on a profound academic exploration as you delve into the Decision Support System course () within the distinguished Tribhuvan university's CSIT department. Aligned with the 2065 Syllabus, this course (CSC-460) seamlessly merges theoretical frameworks with practical sessions, ensuring a comprehensive understanding of the subject. Rigorous assessment based on a 60 marks system, coupled with a challenging passing threshold of , propels students to strive for excellence, fostering a deeper grasp of the course content.
This 3 credit-hour journey unfolds as a holistic learning experience, bridging theory and application. Beyond theoretical comprehension, students actively engage in practical sessions, acquiring valuable skills for real-world scenarios. Immerse yourself in this well-structured course, where each element, from the course description to interactive sessions, is meticulously crafted to shape a well-rounded and insightful academic experience.
Course Synopsis: This course covers introduction to decision support systems; DSS components; Decision making; DSS software and hardware; developing DSS; DSS models; types of DSS; data mining; artificial intelligence and expert Systems.
Goal: The course is devoted to introduce decision support systems; show their relationship to
other computer-based information systems, demonstrate DSS development approaches,
and show students how to utilize DSS capacities to support different types of decisions.
Units
Lab works
The laboratory should contain the concepts of artificial intelligence that are
applicable to the development of decision support systems.