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Mathematics for Computer Science

ITB8832
Mathematics and Statistics

About this course

The course “Mathematics for Computer Science” follows the lines of the course of the same name taught at Massachusetts Institute of Technology. It is aimed at Master students of the School of Information Technology. The course covers a series of topics from logic, set theory, discrete mathematics, and theory of computation, chosen from the first half of the textbook. Among these:

  1. Proofs. The axiomatic method. Proofs by cases. Proofs by contradiction. Well ordering principle. Propositional logic in computer programs. Propositional algebra. Induction. Application: satisfiability.

  2. Mathematical data types. Sets and sequences. Functions and finitary relations. Recursive data types. Recursive functions. Application: games as a recursive data type.

  3. State machines. Invariants. The stable marriage problem. The halting problem. Application: program verification.

  4. Number theory. Divisibility. Prime numbers. Modular arithmetic. Application: the RSA public key encryption algorithm.

  5. Directed and undirected graphs. Partial orders. Connectivity. Planar graphs. Application: scheduling.

NB! This course will take place in autumn semester 2024/2025 which starts on 2nd of September and ends 26th of January (you can find that information under Start date section). The real course start and end dates will be announced at the beginning of September at the latest.

Learning outcomes

After completing this course, the student:

  • applies the principles and techniques of rigorous reasoning;
  • employs recursive data structures and algorithms to problem solving, game theory, and software testing;
  • knows the intrinsic limitations of computers' ability to solve problems;
  • employs notions and methods from the mathematical foundations of modern cryptography;
  • applies the concepts and techniques of graph theory to scheduling and resource management.

Examination

Final assessment can consist of one test/assignment or several smaller assignments completed during the whole course. After declaring a course the student can re-sit the exam/assessment once. Assessment can be graded or non-graded. For specific information about the assessment process please get in touch with the contact person of this course. For specific information about grade transfer please contact your home university

Course requirements

The course is aimed at Master students in Computer Science, Information Technology, and related subjects. It covers topics from logic, set theory, discrete mathematics, and theory of computation, with applications to game theory, software testing, cryptography, scheduling, and resource management. Successful completion gives 6 ECTS credits. Prerequisites are algebra, calculus, and programming at the level of the first year of a BSc in Computer Science. The final grade is based on the outcome of three midterm tests and one final exam, plus non-mandatory group work for extra credit. For further information consult the web page https://www.cs.ioc.ee/~silvio/ITB8832/index.html or contact the instructor at the email address silvio.capobianco@taltech.ee

Activities

lectures, exercises

Link to more information

  • Credits
    ECTS 6
  • Level
    Master
  • Contact hours per week
    4
  • Instructors
    Silvio Capobianco
  • Mode of instruction
    Hybrid
  • Course coordinator
If anything remains unclear, please check the FAQ of TalTech (Estonia).

Offering(s)

  • Start date

    2 September 2024

    • Ends
      26 January 2025
    • Term *
      Fall semester 2024
    • Instruction language
      English
    • Register between
      14 May - 29 Jul 2024
    Apply now
These offerings are valid for students of TUM (Germany)