COURSE DESCRIPTION: By means of biological case studies we will cover a broad range of relevant techniques from mathematical, statistical, and computational sciences. In this course we will introduce computational and simulation platforms that the students will build upon as the course progresses. By the end of the course we expect all students to have attained a substan-tial programming proficiency. The main aim of this course is to provide the students with the means to move beyond quantitative techniques for descriptive purposes alone, towards making biologically relevant predictive models.
REQUIRED MATERIALS: Laptop computer is required for classroom work
PREREQUISITES:Quantitative background encouraged
STUDENT PREPARATION: Preferred pre-requisite (not reqired) Calculus, Linear Algebra, Differential Equations and Sto-chastic Processes. Also, Background in computer programing such as C/C++ or any other programming language as well as biostatistics is desirable.
SUITABLE FOR 1ST YEAR STUDENTS: Yes
UNIQUE TRAINING OFFERED IN THIS COURSE: The course offer the student with the knowledge of the computational platform Matlab and R, and their usage in modeling biological processes.
STUDENT ASSESSMENTS: Student are assessed by their participation and limited set of homework assignments
CREDIT HOURS: 2.0