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Updated in [May 19th, 2023]
This course provides an overview of asynchronous programming in C# and NET Core. Students will learn the concepts related to asynchronous programming and the techniques for applying those concepts. Through a combination of text- and video-based instructional materials, as well as a series of hands-on lab activities, students will gain the skills to apply asynchronous programming to enterprise software development. The course focuses on real-world applications of this programming style, and presents common use cases where asynchronous programming is most effective. The hands-on labs take students through both desktop and web application development, examining how asynchronous development can be effective on each platform. Students will be guided to write code with parallel programming techniques, working through common use cases.
[Applications]
Upon completion of this course, students should be able to apply the concepts of asynchronous programming to their own development projects. They should be able to identify when asynchronous programming is the most effective approach, and they should be able to write code that takes advantage of the benefits of asynchronous programming. Additionally, they should be able to use the techniques learned in this course to develop both desktop and web applications.
[Career Paths]
1. Software Developer: Software developers are responsible for designing, developing, and testing software applications. They use a variety of programming languages, such as C# and NET Core, to create software that meets the needs of their clients. Asynchronous programming is becoming increasingly important in software development, as it allows for faster and more efficient development of applications.
2. Web Developer: Web developers use a variety of programming languages, such as C# and NET Core, to create websites and web applications. Asynchronous programming is becoming increasingly important in web development, as it allows for faster and more efficient development of web applications.
3. Mobile Developer: Mobile developers use a variety of programming languages, such as C# and NET Core, to create mobile applications. Asynchronous programming is becoming increasingly important in mobile development, as it allows for faster and more efficient development of mobile applications.
4. Cloud Developer: Cloud developers use a variety of programming languages, such as C# and NET Core, to create cloud-based applications. Asynchronous programming is becoming increasingly important in cloud development, as it allows for faster and more efficient development of cloud-based applications.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming languages, algorithms, data structures, operating systems, and software engineering. Students will also learn about the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing. This degree path is ideal for those looking to pursue a career in software development, data science, or computer engineering.
2. Master of Science in Software Engineering: This degree path focuses on the development of software applications and systems. Students will learn about software design, development, and testing, as well as the principles of software engineering. They will also gain an understanding of the latest technologies and trends in software engineering, such as cloud computing, mobile development, and artificial intelligence. This degree path is ideal for those looking to pursue a career in software engineering or software development.
3. Master of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming languages, algorithms, data structures, operating systems, and software engineering. Students will also learn about the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing. This degree path is ideal for those looking to pursue a career in software development, data science, or computer engineering.
4. Master of Science in Artificial Intelligence: This degree path focuses on the development of artificial intelligence systems and applications. Students will learn about the fundamentals of artificial intelligence, including machine learning, natural language processing, and computer vision. They will also gain an understanding of the latest technologies and trends in artificial intelligence, such as deep learning, reinforcement learning, and robotics. This degree path is ideal for those looking to pursue a career in artificial intelligence or machine learning.
