## Seminar "Mathematical modeling in cancer research"

**Organizers:**

**Moodle**: We will use the Moodle platform for the seminar organization. **Link**

**Date and Location:**

Fr. 11:00-13:00 ct (c.t. means Cum Tempore, i.e. start at **11:15 **!!! ) INF 205 (Mathematikon), SR 10

**Date:** Friday, 11:00 - 13:00 c.t. (c.t. means Cum Tempore, i.e. start at **11:15 **!!! )

**Preliminary discussion: Friday, 21.10.2022, 11.00-13.00 ****ct****, INF 205 (Mathematikon), SR 10.**

**Language: **english

**Description:**

Through mathematical modeling of complex biological processes we are able to gain novel, unprecedented medical insights. This is in particular true for cancer development processes which are generally hard to observe in a time-dependent way. During this seminar, we will have a closer look at the main areas of current research in mathematical oncology. For modeling different aspects of cancer development, we will use various mathematical techniques ranging from ordinary differential equations, over partial differential equations, and graph theory to stochastic modeling. The seminar is organized in three parts:

**Part 1: Modeling tumor development****Part 2: Exploring tumor-immune interactions****Part 3: Analyzing treatment effects**

**Formalities:**

In this seminar, 11 different topics are provided. Each interested Master student can create a list of three topics of his/her choice (prioritized). The 11 topics will be distributed in order to match the interests of the participants as good as possible. **The maximum number of students is 11.** Therefore, if more students should be interested, the topics will be distributed by random selection of the students which attend the **preliminary discussion on ****21st October**** 2022.** Later applications can only be considered if not all topics have been distributed.

**Prerequisites:**

The prerequisites for each seminar talk depend on the chosen topics. The latter are based on:

- Knowledge in numerical mathematics (esp. ordinary and partial differential equations)
- Knowledge in stochastics, discrete models
- Knowledge in graph theory (esp. directed acyclic graphs, trees)
- Knowledge of programming is optional

**Certificate:**

Please note the following requirements for the award of credit points: regular participation in the seminar, presentation with handout, and written summary of the presentation. Details will be announced at the preliminary meeting.