The elective subject, "Introduction to MATLAB for Applications in Life Sciences," is designed to provide students with essential skills and knowledge in utilizing MATLAB for solving problems in the field of life sciences. The course is divided into two parts, offered during the winter and summer semesters, respectively. This summary covers the topics covered in the winter semester.
An overview of MATLAB and its significance in life sciences.
Introduction to the MATLAB environment, interface, and basic functionalities.
Lesson 2: Data Handling
Importing, organizing, and manipulating data using MATLAB's data structures.
Exploring techniques for data cleaning and preprocessing.
Lesson 3: Scripts and Functions
Creating and executing MATLAB scripts to automate tasks.
Designing custom functions to encapsulate reusable code.
Lesson 4: Algorithm Control Structures
Understanding decision-making with conditional statements (if-else) and loops.
Applying control structures to solve biological and life science problems.
Lesson 5: Files I/O, Flow Charts
Reading and writing data from/to external files (e.g., CSV, Excel).
Designing flowcharts to plan and represent algorithms visually.
Lesson 6: Data Visualization, Animation
Visualizing data using MATLAB's plotting capabilities.
Creating animations to showcase dynamic processes in life sciences.
Lesson 7: Signals - General Overview
Introduction to signal processing concepts and their applications in life sciences.
Lesson 8: Frequency Domain Analysis
Exploring frequency domain techniques for analyzing signals.
Applying Fourier transforms and power spectral analysis to biological data.
Lesson 9: Graphical User Interface (GUI)
Introduction to creating interactive GUIs in MATLAB.
Designing user-friendly interfaces for life science applications.
Lesson 10: Reserve (Projects, Consultations)
Engaging in projects related to life sciences using MATLAB.
Opportunities for personalized consultations and project guidance.
Throughout the winter semester, students will gain proficiency in MATLAB's core functionalities, data manipulation, visualization techniques, and their applications in life sciences. By the end of the course, students will be equipped with the skills necessary to approach and solve real-world problems in life sciences using MATLAB.
