Computer Science Class 11

[Lorri Dent]

Aswe continue into the digital age, computer science has become an essential discipline for anyone looking to remain relevant in the job market or understand the world around them. This dynamic field offers many exciting opportunities in many subjects, including data science, artificial intelligence, and software development.

Our guide explores curated online computer science courses. These programs offer a blend of theoretical knowledge and hands-on experience for various skill levels and are available through globally recognized institutions. Discover the course that will fuel your passion for technology.

Computer science college courses can cover various subjects, including computer forensics, database management, and web development. Other common subjects include information technology and software engineering. Explore the list below to learn about some of the other subjects explored in popular online computer science classes.

Computer Programming: Computer science professionals write code with programming languages that tell computers to perform tasks. Some computer programming courses provide a broad introduction to programming languages, while others focus more narrowly on one or more languages, like JavaScript, Python, or C++.

Computer Engineering: These classes incorporate computer science and electrical engineering concepts to explore computer hardware development and design fundamentals. Topics may include circuit boards, operating systems, and robotics.

Cybersecurity: A typical cybersecurity class explores computer risk management, information security policies, and penetration testing. Coursework may cover a broad introduction to the subfield or focus on specific tools and practices.

Data Science: This field uses advanced tools to apply data in problem-solving contexts. Students in data science courses learn about data mining, data visualization, statistics, and machine learning.

Information Systems: Information systems classes explore how organizations can use information technology to solve problems. Topics include application design, human-computer interaction, and information systems theories and practices.

Network Administration: Students explore ways to make computer networks run effectively. Enrollees learn to install, fix, and upgrade computer networks. The curriculum may include aspects of data management, web development, and networking solutions.

Software Development: These classes teach learners to create, test, and maintain modern computer applications. The curriculum may cover programming languages, software security, algorithms, and data structures.

This Harvard University course, available through edX, provides a broad understanding of computer science fundamentals through theoretical and practical topics. It starts from scratch, making it ideal for beginners and those with some experience. Upon completion, learners earn a certificate of completion from Harvard University's online learning platform, edX.

Students will build serverless web applications with FastAPI and Vue running on AWS. They can construct APIs on AWS Lambda, deploy FastAPI apps through CI/CD on GitHub Actions and Serverless Framework, authenticate with Cognito, and monitor with CloudWatch. The course is for advanced beginners with at least six months of web development experience.

This course will teach you how to use SQL to query a database and perform data analysis. With nine hours of on-demand video and detailed code notebooks for every lecture, this is one of the most comprehensive courses for SQL.

This course is a comprehensive introduction to the modern cybersecurity landscape. Students learn about the latest types and methods of cyberattacks, as well as modern strategies for protecting systems and information. Enrollees develop familiarity with concepts such as malware, networking security, and web security. They will also receive hands-on experience with basic cybersecurity techniques.

This course provides an introduction to data science and machine learning using Python. Students will gain practical experience with Python's popular data science libraries like pandas, seaborn, Matplotlib, plotly, and scikit-learn. It's a perfect course for beginners or anyone looking to refresh their data science and machine learning skills.

This course from Massachusetts Institute of Technology's (MIT) Department of Electrical Engineering and Computer Science provides a foundation in software and hardware engineering. Students design distributed systems to solve problems in the real world through hands-on projects.

This self-paced MOOC from Stanford Online joins four other database-related classes from Stanford University. The curriculum introduces concepts in relational databases and SQL. Learners need strong backgrounds in basic computer science, including programming and computer science theory. The class includes access to detailed lecture notes. Participants can pay a fee to receive shareable certificates upon completion.

This self-paced theoretical computer science class welcomes intermediate students with a basic understanding of introductory algorithms and computer programming. It explores complexity classes, approximate solutions, and unsolvable computer problems. Students learn to use tools to handle complicated algorithmic problems, but the course does not require prior knowledge of theoretical computer science.

MIT's Department of Electrical Engineering and Computer Science offers this introductory data science course through its open courseware program. This class can help students who do not have computer science experience. The curriculum covers machine learning, classification, and clustering.

HarvardX's intermediate, self-paced course provides practical experience with using Python to answer real-world questions. The curriculum focuses on machine learning and the foundations of data science. In the final week of the class, each student completes a capstone project. The free program offers an optional paid upgrade, which delivers a shareable certificate after completion, graded assignments, and exams.

This self-paced introductory class, offered through edX, explores the basics of secure software development. Students learn to create secure software and respond to attacks effectively. The class requires basic software creation knowledge for developers, software engineers, and other professionals. The course is one of three in the Secure Software Development Fundamentals Professional Certificate program.

Students can take online computer science courses in various subjects with several formats and structures. Synchronous classes take place in real time, requiring learners to log on to a virtual classroom at specific times. Asynchronous courses, however, generally let students complete coursework on their schedules as long as they meet deadlines.

Many online computer science classes welcome beginners with little or no previous experience in the field. However, some courses may include prerequisites or require relevant experience. Some classes supply readings or use free resources, but others may require students to purchase supplemental materials.

Taking a one-off online computer science class allows a student to dip their toe into the field and help them decide if they want to pursue a degree or certificate. Learners can also take online classes that provide certificates or degrees.

This program combines the study of computer science with a liberal arts education. It prepares students for employment as computing professionals while offering significant freedom to choose coursework in other areas. The major is especially popular with students who want the technical education in computer science with the flexibility to take other non-technical courses, sometimes in the form of a minor or certificate.

The mission of the Department of Computer & Information Science & Engineering is to educate students, as well as the broader campus community, in the fundamental concepts of the computing discipline; to create and disseminate computing knowledge and technology; and to use expertise in computing to help society solve problems.

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Computer science majors in CLAS take a solid foundation of core computer science courses while fulfilling requirements for a liberal arts education, including courses from the humanities, social and behavioral sciences, and the study of a foreign language. Questions about the major should be directed to a department advisor.

This major requires a minimum of 29 credits in foundation coursework, 35 credits in core coursework, and 9 credits of major electives. Students must earn minimum grades of C in coursework for the major. An exit interview is required in the student's last semester.

A student can request to transfer in a maximum of four courses toward required core Computer Science or required Computer Science elective coursework, dependent upon courses being deemed equivalent by the Department. Course equivalency requests should begin with the department advising office, followed by the undergraduate coordinator.

The computer science combination-degree program is a joint program between the colleges of Engineering and Liberal Arts and Sciences and is coordinated by the Department of Computer and Information Science and Engineering.

To remain on track, students must complete the appropriate critical-tracking courses, which appear in bold. These courses must be completed by the terms as listed above in the Critical Tracking criteria.

This semester plan represents an example progression through the major. Actual courses and course order may be different depending on the student's academic record and scheduling availability of courses. Prerequisites still apply.

The College of Liberal Arts and Sciences' Computer Science program exposes students to a broad range of disciplines, including programming languages, theory of computer science, physical science, mathematics, and software engineering. Students will graduate with the ability to apply knowledge of science and mathematics to computer science problems, to design computer systems or components to satisfy users' needs and to communicate technical information regarding computer systems to other computer scientists. This program emphasizes the broader aspects of computer science and is less technical in depth than the computer science program in the Herbert Wertheim College of Engineering.

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