MATH37012 Course Materials

Online Resources

• Google & Markov Chains
• Chapter 9 of D. Stirzaker. Elementary Probability, Cambridge University Press. Available electronically.
• Chapter 11 of this very useful on-line probability text by Grinstead & Snell.
• H.C. Tijms. A First Course in Stochastic Models, Wiley. Available electronically.
• O. Haggstrom. Finite Markov Chains and Algorithmic Applications, LMS Student texts. Available electronically.

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Example Sheets and Solutions

• Example sheet 1 and Solutions
• Example sheet 1a and Solutions
• Example sheet 2 and Solutions
• Example sheet 3 and Solutions
• Example sheet 3b and Solutions
• Example sheet 4 and Solutions
• Example sheet 5 and Solutions
• Example sheet 5a and Solutions
• Example sheet 6 and Solutions
• Example sheet 7 and Solutions

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Course Work 2013

• Below is the 2013 course work. The test will take place on Friday 19th April at 10am in AT207. I will select two of the questions for you to answer under exam conditions. No credit will be given for answers without explanations.
• 2013 course work.
Solutions to questions 1&3. Others to follow.
• Solutions to Q4.

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Past exam papers

• These can be accessed through the university intranet.