- Teacher: Doina COMANETCHI
- Teacher: Ana Maria JOSCEANU
- Teacher: Eugenia TOTU
- Teacher: Adelin Costin DUMITRU
Course Description:
This comprehensive course on MATLAB (Matrix Laboratory) offers an in-depth exploration of one of the most powerful programming environments for algorithm development, data analysis, visualization, and numerical computation. Students will learn how to leverage MATLAB's high-level language and interactive environment to solve technical computing problems, particularly those with matrix and vector formulations.
Course Focus:
MATLAB Fundamentals:
Introduction to MATLAB interface, commands, and workflow.
Basics of MATLAB syntax, operators, and data structures.
Creating scripts and functions to perform automated tasks.
Data Analysis and Visualization:
Importing and managing datasets from various sources.
Using MATLAB for statistical analysis and data visualization.
Generating plots and graphics to illustrate data findings.
Matrix and Numerical Computation:
Understanding matrix operations and their applications in MATLAB.
Solving linear algebra problems and performing numerical integration and differentiation.
Algorithm Development:
Writing robust MATLAB code to develop algorithms for complex computational tasks.
Debugging, optimizing, and refining MATLAB code for efficiency and performance.
Advanced Topics in MATLAB:
Exploring specialized toolboxes for different fields such as signal processing, image processing, and control systems.
Introduction to Simulink for model-based design and dynamic system simulation.
Real-World Applications:
Applying MATLAB skills to solve real-world problems in engineering, mathematics, and science.
Working on projects that simulate industry challenges and require practical MATLAB applications.
Course Outcomes:
By the end of the course, students will have a solid foundation in MATLAB, enabling them to:
Confidently navigate the MATLAB environment and its comprehensive documentation.
Implement MATLAB in various domains for research, development, and analysis.
Develop custom algorithms and tools that can be applied to a wide array of industry problems.
Collaborate effectively on projects that require advanced data analysis and technical computing.
Target Audience:
This course is designed for students, researchers, and professionals in engineering, physical sciences, and applied mathematics who want to enhance their computational capabilities. Prior experience with programming is helpful but not necessary, as the course will cover MATLAB basics before advancing to more complex topics.
This comprehensive course on MATLAB (Matrix Laboratory) offers an in-depth exploration of one of the most powerful programming environments for algorithm development, data analysis, visualization, and numerical computation. Students will learn how to leverage MATLAB's high-level language and interactive environment to solve technical computing problems, particularly those with matrix and vector formulations.
Course Focus:
MATLAB Fundamentals:
Introduction to MATLAB interface, commands, and workflow.
Basics of MATLAB syntax, operators, and data structures.
Creating scripts and functions to perform automated tasks.
Data Analysis and Visualization:
Importing and managing datasets from various sources.
Using MATLAB for statistical analysis and data visualization.
Generating plots and graphics to illustrate data findings.
Matrix and Numerical Computation:
Understanding matrix operations and their applications in MATLAB.
Solving linear algebra problems and performing numerical integration and differentiation.
Algorithm Development:
Writing robust MATLAB code to develop algorithms for complex computational tasks.
Debugging, optimizing, and refining MATLAB code for efficiency and performance.
Advanced Topics in MATLAB:
Exploring specialized toolboxes for different fields such as signal processing, image processing, and control systems.
Introduction to Simulink for model-based design and dynamic system simulation.
Real-World Applications:
Applying MATLAB skills to solve real-world problems in engineering, mathematics, and science.
Working on projects that simulate industry challenges and require practical MATLAB applications.
Course Outcomes:
By the end of the course, students will have a solid foundation in MATLAB, enabling them to:
Confidently navigate the MATLAB environment and its comprehensive documentation.
Implement MATLAB in various domains for research, development, and analysis.
Develop custom algorithms and tools that can be applied to a wide array of industry problems.
Collaborate effectively on projects that require advanced data analysis and technical computing.
Target Audience:
This course is designed for students, researchers, and professionals in engineering, physical sciences, and applied mathematics who want to enhance their computational capabilities. Prior experience with programming is helpful but not necessary, as the course will cover MATLAB basics before advancing to more complex topics.
- Teacher: Paul Aurelian GAGNIUC