# Final examination · 24 Nov 2025

Subject: Intelligent Systems II

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/is2/#tee/mocks/paper-final-2025

Canonical: https://deep-learning-study-room.vercel.app/read/is2/tee/mocks-chapter/paper-final-2025/

100-mark timed practice using the actual Final 2025 paper. Q1 compulsory; any four of Q2–Q7. Worked solutions are below the questions.

1. [Q1(a) Joint probability table [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q1a/)
2. [Q1(b) Applications of ACO [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q1b/)
3. [Q1(c) Fuzzy set operations [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q1c/)
4. [Q1(d) Brand-switching Markov chain [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q1d/)
5. [Q2(a) PSO, one iteration [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q2a/)
6. [Q2(b) GMM: compare with k-means, log-likelihood, parameters [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q2b/)
7. [Q3(a) Bayesian network: wet grass given no rain [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q3a/)
8. [Q3(b) Fuzzy loan-approval system [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q3b/)
9. [Q4(a) Cartesian product and max–min composition [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q4a/)
10. [Q4(b) Naive Bayes: flu [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q4b/)
11. [Q5(a) Hotel guest movement (Markov chain) [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q5a/)
12. [Q5(b) Genetic algorithm [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q5b/)
13. [Q6(a) Applications of fuzzy logic [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q6a/)
14. [Q6(b) Learner progression (Markov chain) [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q6b/)
15. [Q7(a) Applications of PSO [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q7a/)
16. [Q7(b) ACO for TSP [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/mocks/paper-final-2025--q7b/)