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Updated in [March 06th, 2023]

This course, Mastering Programming with MATLAB, builds on the foundation laid by the first course of the Specialization called “Introduction to Programming with MATLAB.” It covers more advanced programming concepts such as recursion, vectorization, function handles, algorithm efficiency and others. At the same time, it presents many features that make MATLAB a powerful programming environment for engineering and scientific computing, such as its support for object oriented programming, the new user interface design environment and Live Scripts.

By the end of this course, students will be familiar with more advanced computer programming concepts, able to write more efficient code, and able to create object oriented MATLAB applications with graphical user interfaces. Students will gain a better understanding of the MATLAB programming language and its capabilities, and be able to apply it to their own projects.

[Applications]
After completing this course, students can apply their knowledge of MATLAB programming to a variety of engineering and scientific computing tasks. They can use MATLAB to develop algorithms, create graphical user interfaces, and analyze data. Additionally, they can use MATLAB to create and debug programs, optimize code, and develop applications for deployment.

[Career Paths]
1. Data Scientist: Data Scientists use MATLAB to analyze and interpret data, develop predictive models, and create visualizations. They are also responsible for developing algorithms and software to automate data analysis tasks. With the increasing demand for data-driven decision making, the demand for Data Scientists is expected to grow significantly in the coming years.

2. Software Engineer: Software Engineers use MATLAB to develop software applications for a variety of industries. They are responsible for designing, coding, testing, and debugging software applications. With the increasing demand for software applications, the demand for Software Engineers is expected to grow significantly in the coming years.

3. Machine Learning Engineer: Machine Learning Engineers use MATLAB to develop algorithms and software to automate tasks such as image recognition, natural language processing, and predictive analytics. With the increasing demand for automation and artificial intelligence, the demand for Machine Learning Engineers is expected to grow significantly in the coming years.

4. Robotics Engineer: Robotics Engineers use MATLAB to develop algorithms and software to control robots and other automated systems. They are responsible for designing, coding, testing, and debugging robotic systems. With the increasing demand for automation and robotics, the demand for Robotics Engineers is expected to grow significantly in the coming years.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree program provides students with a comprehensive understanding of computer science fundamentals, including programming, data structures, algorithms, software engineering, and computer architecture. Students will also learn about the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing.

2. Master of Science in Software Engineering: This degree program focuses on the development of software applications and systems. Students will learn about software design, development, testing, and maintenance, as well as the latest technologies and tools used in software engineering.

3. Master of Science in Data Science: This degree program focuses on the analysis and interpretation of large datasets. Students will learn about data mining, machine learning, and predictive analytics, as well as the latest technologies and tools used in data science.

4. Master of Science in Artificial Intelligence: This degree program focuses on the development of intelligent systems and applications. Students will learn about artificial intelligence algorithms, natural language processing, and robotics, as well as the latest technologies and tools used in AI.