SMN6192 Game- and Graph Theory / Discrete Mathematics - 5 stp

• Combinatorics including combinations
• Properties of integers and number theory
• Types of proofs
• Relations and functions, equivalence relations
• Finite state machines and minimization of these
• Recurrence relations with unarranged problems
• Graph theory
• Examples of applications in gaming  

Recommended passed mathematics courses in the bachelor engineering education or corresponding mathematics courses.

Application code: 9371

Knowledge (K):

After completing the linear algebra course the candidate:

• Has advanced knowledge of concepts within discrete mathematics.
• Has thorough knowledge of central arguments, combinatorial counting methods and methodologies within the listed concepts in discrete mathematics and know how to apply these in mathematical problems.
• Can analyse formulated discrete problems and identify methods to solve these.

Skills (S):

After completing the linear algebra course the candidate:

• Can recognize and identify discrete problems, make use of a variety of counting methods, elementary number theory, finite state machines, recurrence relations and graphs and trees in order to solve problems.
• Can analyse and deal critically with theories and arguments within the field and use these to structure and formulate scholarly arguments.
• Can identify arguments that can be utilized to solve practical problems like unarranged recurrence relations and game related tasks.

General competence (GC):

After completing the linear algebra course the candidate:

• Can analyse relevant discrete mathematics problems.
• Can apply the knowledge and skills within discrete mathematics to complete assignments.
• Can communicate about different aspects in discrete mathematics, particularly explaining in mathematical terms how to deal with counting problems.
• Can use the knowledge for concepts, theories and methods in discrete mathematics in relevant engineering areas.

The course is taught intensively during two non-consecutive weeks, in which a combination of lectures followed by task solving sessions and project work.

All lectures are streamed and recorded. Videos provided in addition to this are made available to all students attending the course.

Course work requirements: One individual project work in Graph Theory must be submitted and approved in a 3-steps process.

Examination and assessment: A final exam, which is a 3 hours written exam. Scale of grades: A-F in which F means fail. A re-sit exam will be arranged for this course.

The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.