Course Identification

Modeling Biology
20243572

Lecturers and Teaching Assistants

Dr. Eyal Karzbrun, Dr. Yaron Antebi
N/A

Course Schedule and Location

2024
Second Semester
Thursday, 10:15 - 12:00, WSoS, Rm C

Tutorials
Tuesday, 14:00 - 15:00, WSoS, Rm C
09/04/2024
11/07/2024

Field of Study, Course Type and Credit Points

Life Sciences: 3.00 points
Physical Sciences: 3.00 points
Chemical Sciences: 3.00 points
Life Sciences (Computational and Systems Biology Track): Elective; 3.00 points
Life Sciences (ExCLS Track): 3.00 points
Mathematics and Computer Science: 3.00 points

Comments

This course will be held by frontal learning.
On the following dates, the tutorial will take place in a different room:

30/04 the tutorial will take place in Drori Auditorium
On May 21st, the tutorial will take place in Botnar Auditorium.
On June 25 the tutorial will take place in Botnar Auditorium.

Prerequisites

No

Restrictions

30

Language of Instruction

English

Registration by

10/03/2024

Attendance and participation

Required in at least 80% of the lectures

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

50%
50%

Evaluation Type

Final assignment

Scheduled date 1

N/A
N/A
-
N/A

Estimated Weekly Independent Workload (in hours)

2

Syllabus

The course will consist of four topics in biological models. Each topic will introduce a biological problem, and a quantitative framework, and demonstrate how the model-based approach results in new insights into biological phenomena.

  • Dynamical Models
  1. Mysteries of signaling pathways regulations

  2. Differential equations models

  3. Combinatorics in ligand-receptor systems

  • Information Theory
  1. Morphogens and patterning

  2. Information theory basics

  3. Information content of morphogenetic proteins

  • Vertex Models
  1. Morphogenesis of epithelial tissues

  2. The basics of vertex models

  3. Modeling tissue folding and brain gyrification

  • Fluid Mechanics
  1. Multicellular flows in embryonic development

  2. Fundamentals of fluid mechanics

  3. Models of cellular movements during embryo gastrulation

Learning Outcomes

Upon successfully completing this course, students should be able to apply diverse mathematical modeling tools to study key problems in biology.

Reading List

N/A

Website

N/A