- Official Course Descriptor (DRPS)
- Year Guide (common to all Informatics 2 courses)
- Teaching Staff
- Time and Places: lectures
- Course Schedule (and Lecture Slides)
- Tutorial Groups
- Coursework: Tutorial sheets (weekly), with last question on each sheet marked
- Textbook and reading materials
- Study guide
- MOCK EXAM, and here are Solutions for the Mock Exam.
- Feedback

- Monday 17:10-18:00, LT3 AT (Lecture Theatre 3, Appleton Tower).
- Wednesday 11:10-12:00, LT1 AT (Lecture Theatre 1, Appleton Tower).
- Thursday 17:10 - 18:00, LT3 AT (Lecture Theatre 3, Appleton Tower).

- Use of mathematical and logical notation to define and formally reason about mathematical concepts such as sets, relations, functions, and integers, and discrete structures like trees, graphs, and partial orders;

- Evaluate elementary mathematical arguments and identify fallacious reasoning

- Construct inductive hypothesis and carry out simple induction proofs;

- Use graph theoretic models and data structures to model and solve some basic problems in Informatics (e.g., network connectivity, etc.)

- Prove elementary arithmetic and algebraic properties of the integers, and modular arithmetic, explain some of their basic applications in Informatics, e.g., to cryptography.

- Compare the asymptotic growth growth rates of basic functions; derive asymptotic bounds, and limits, for simple series and recurrence relations. Use these to derive bounds on the resource consumption (e.g., running time) of simple iterative and recursive algorithms.

- Calculate the number of possible outcomes of elementary combinatorial processes such as permutations and combinations.

- Be able to construct discrete probability distributions based on simple combinatorial processes, and to calculate the probabilities and expectations of simple events under such discrete distributions.

This page is maintained by the course lecturers Dr. Kousha Etessami and Dr. Richard Mayr.

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