BSc CSIT (TU) Science Artificial Intelligence (BSc CSIT, CSC261) Question Paper 2079
This is the official BSc CSIT (TU) (Science stream) Artificial Intelligence (BSc CSIT, CSC261) question paper for 2079, as set in the regular annual examination. It carries 60 full marks and a time allowance of 180 minutes, across 12 questions. On Kekkei you can attempt this Artificial Intelligence (BSc CSIT, CSC261) past paper online with a timer, get instant AI feedback and step-by-step solutions, and track the topics where you lose marks — completely free. Whether you are revising for your BSc CSIT (TU) Artificial Intelligence (BSc CSIT, CSC261) exam or solving previous years' question papers, this 2079 paper is a great way to practise under real exam conditions.
Section A: Long Answer Questions
Attempt any TWO questions.
What is machine learning? Differentiate between supervised, unsupervised, and reinforcement learning with examples and discuss the perceptron learning rule.
Explain reasoning under uncertainty. Describe Bayes' theorem and the structure and use of a Bayesian Belief Network with an example.
Explain Natural Language Processing (NLP). Discuss the various phases of NLP and the challenges involved in natural language understanding.
Section B: Short Answer Questions
Attempt any EIGHT questions.
Define a rational agent. List the properties of a task environment.
Differentiate between informed and uninformed search.
Explain the hill-climbing search algorithm and its problems.
What is a heuristic function? Give an example.
Explain forward and backward chaining in inference.
Differentiate between propositional logic and predicate logic.
What is a semantic network? Explain with an example.
Explain the frame-based knowledge representation scheme.
What is an activation function? List any two activation functions.