Stochastics in the Bachelor
The Institute of Stochastics offers the following courses for Bachelor students at the KIT Faculty of Mathematics:
- Introduction to Stochastics (every winter semester, 3+1)
- Introduction to stochastics for the teaching profession (every summer semester, 4+2+2 (tutorial))
- Probability Theory and Statistics for Computational and Data Science (every summer semester, 2+1)
- Probability Theory (every semester, 3+1)
- Markov chains (every semester, 3+1)
- Financial Mathematics in Discrete Time (every winter semester, 4+2)
- Statistics (every winter semester, 4 + 2+ 2(practical course))
- Statistical data analysis (every winter semester, 4+2)
- Statistics practical course (every winter semester, 2)
In addition to the semester, the scope of the course is noted in brackets in the form x+y(+z), where x and y indicate the number of semester hours per week for the lecture and practical course. The optional z indicates either the semester hours per week of a tutorial or a computer practical course.
Depending on the degree program, different combinations of these courses are included in the curriculum.
Mathematics B.Sc., Technomathematics B.Sc., Business Mathematics B.Sc.: In the mathematical foundations, students must first attend the lecture Introduction to Stochastics, which teaches the basics of probability theory and statistics. Students must then choose one of the two lectures Markov chains or probability theory. For students who want to delve deeper into stochastics topics in the further course of their studies, we recommend probability theory, as this deals with essential concepts of stochastics that are important for almost all other stochastics courses.
In the specialization, you can take the lecture Markov chains or probability theory, which you have not yet completed, as well as statistics and financial mathematics in discrete time.
Computational and Data Science B.Sc.degree program: In Mathematics for Computational and Data Science, students must first take the introductory lecture Probability Theory and Statistics for Computational and Data Science. As this lecture is essentially congruent with the course Fundamentals of Probability Theory and Statistics for Computer Science students, this lecture, which is offered every winter semester, can also be taken as an alternative. The second compulsory course is Statistical Data Analysis. The latter consists of the lecture and exercise, which is also offered to students of mathematics, technomathematics and business mathematics as part of the statistics course.
In the specialization Mathematics for Computational and Data Science, students can choose from the courses Financial Mathematics in Discrete Time, Probability Theory, Markov Chains and the Practical Course in Statistics.
Teacher Training Mathematics B.Ed.: The course Introduction to Stochastics for Teacher Training is compulsory and is offered exclusively for teacher training students and is tailored to them. Teacher training students who are interested in the topics of stochastics can also choose the courses Probability Theory, Markov Chains and Statistics in their Master's degree program, whereby the latter two are particularly suitable.