Artificial Intelligence (CSC 266) is a core Fourth Semester subject in Tribhuvan University’s BSc CSIT program (current / new course code). It covers intelligent agents, search and game playing, knowledge representation and uncertainty, machine learning and neural networks, plus expert systems, NLP, vision, and robotics—with programming labs.
On this page you’ll find the official CSC 266 syllabus and Artificial Intelligence notes PDF.
Note: Older batches may still see CSC 261 on past papers; the syllabus content is largely the same. CSC 266 is the current code under the revised grading system.
What you’ll learn
- AI foundations and intelligent agent design (PEAS/PAGE)
- Uninformed/informed search, minimax, alpha-beta, and CSPs
- Logic, semantic nets, Bayesian networks, and fuzzy systems
- Naive Bayes, genetic algorithms, and neural network learning
- Expert systems, NLP pipeline, machine vision, and robotics basics
Course snapshot
- Code: CSC 266 (current) · formerly CSC 261
- Program: BSc CSIT · Fourth Semester
- Board: Tribhuvan University (IOST)
- Nature: Theory + Lab · Credit hours: 3
- Marks: 60 (theory) + 20 (practical) + 20 (internal)
Start with the syllabus for unit-wise hours, then download the notes PDF for revision.