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Computer Science Courses

969 Courses

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California Institute of Technology University of California, Davis

Advanced Web Layouts

In this final course of the Web Development for Beginners specialization, we’ll review new approaches for designers and developers to create and control the flow of content on web pages. We’ll review advanced uses of CSS grid, and explore creative ways grid has been implemented on websites in recent years. You’ll practice to build your fluency with.
provider Coursera
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California Institute of Technology Udemy

Python Mastery: From "Novice to Ninja"

Python Programming for Beginners: Unlock the Power of Coding.
provider Udemy
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California Institute of Technology Udemy

Complete Full Stack Web Development Bootcamp - AI Integrated

Complete Web Development in One Course with Modern Stack - JavaScript, Node.js, React, MongoDB, Linux and lots more!
provider Udemy
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California Institute of Technology

Bachelor of Science in Computer Science (BCS) Online Degree

Expand your knowledge by learning about innovative software, computer programming and technology to give you a critical advantage in a popular industry. Become fluent in current programming languages like Java and Python, explore database management, and dive into the latest concepts in AI and machine learning. This degree is perfect for working p.
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California Institute of Technology

Bachelor of Science in Computer Science (BCS) Online Degree

Expand your knowledge by learning about innovative software, computer programming and technology to give you a critical advantage in a popular industry. Become fluent in current programming languages like Java and Python, explore database management, and dive into the latest concepts in AI and machine learning. This degree is perfect for working p.
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California Institute of Technology YouTube

ML Foundations for AI Engineers

Master the essential machine learning foundations needed for AI engineering in this comprehensive 35-minute guide covering ML techniques, deep learning, neural networks, and reinforcement learning.
provider YouTube
pricing Free Video
duration 35 minutes
sessions On-Demand
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California Institute of Technology YouTube

Pedagogy Meets AI: Challenges and Innovations in LLM-Powered Education

Explore the intersection of pedagogy and AI as Shashank Sonkar discusses challenges and innovative approaches to implementing large language models in educational contexts.
provider YouTube
pricing Free Video
duration 1 hour 2 minutes
sessions On-Demand
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California Institute of Technology YouTube

Celebrating Student Success with Khanmigo

Discover how to leverage Khan Academy and Khanmigo tools to celebrate and enhance student achievements in your classroom.
provider YouTube
pricing Free Video
duration 24 minutes
sessions On-Demand
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California Institute of Technology YouTube

NEW AI Thought Machine - Artificial Time (No Transformer)

Explore a new neuronal alternative to transformer architecture: Continuous Thought Machine (CTM) with artificial dimensions for dynamic neuronal synchronization to improve AI reasoning.
provider YouTube
pricing Free Video
duration 19 minutes
sessions On-Demand
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California Institute of Technology YouTube

Practical Quantum Acceleration for HPC and AI

Discover how photonic quantum computing can accelerate HPC and AI workloads through practical applications and advantages.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand

What kind of career can you pursue with a Computer Science degree?

Computer Science, or CS, is the science of the methods and processes of collecting, storing, processing, transmitting, analysing and evaluating information using computer technology to enable its application to decision-making.

Introduction to Computer Science AI

There are similar fields, such as data science or software engineering. Some of them can be considered part of Computer Science, but there is still a difference in terms: Computer Science is a broader concept. They study computer technology and information representation as a whole, rather than separate areas such as development. To understand Computer Science in depth, you need a good mathematical apparatus. Unlike many IT applications, this field is strongly related to maths. Computer Science can be studied in higher education institutions in technical specialities dedicated to information technology. But you can also master them on your own with computer science artificial intelligence courses.

Learning Outcomes and Skills

Computer Science is very broad, so we cannot give a complete list of the fields it includes. Let us give examples of theoretical and practical disciplines related to it at computer science ai courses.

Mathematics

Mathematical analysis, linear algebra and other disciplines are also important, but the discipline with the greatest connection to computer science is discrete mathematics. It studies "discontinuous", finite, that is, discrete structures. There are a huge number of algorithms based on this maths, which are used in various branches of IT. Discrete mathematics includes graph theory, finite automata, combinatorics and many other areas.

Theoretical Computer Science

This is the fundamental science that deals with information: how it is represented, stored, and transmitted. Theoretical computer science works with abstract concepts and theories. The term "fundamental" means that this science does not involve creating something in practice: it may describe a new approach to storing information, but not realise a machine that stores it that way. To theoretical computer science we can refer information theory and coding theory - the latter is devoted to the transformation of information into codes. The study of algorithms and the structure of programming languages also belongs to this area.

Programming languages

Computer science is not the same as programming, although the spheres are related. CS studies not so much the peculiarities of languages and the ability to apply them, but their internal structure in general. It is how programming languages are arranged, what their structure is, how they are implemented and what they are based on. Designing programming languages, their classification, analyses belong to computer science.

Career Opportunities and Enrollment Details

If you have studied at an artificial intelligence course for computer science, you will have learnt many technical and non-technical skills that are highly valued by employers, from leadership to programming. The increasing use of computer science means you have a wide range of choices in a wide range of highly specialised fields. With computer technology playing an ever-increasing role in all aspects of modern life, you are likely to find your computing skills in demand in many different industries. These include: financial organisations, management consulting firms, software development firms, communications companies, data warehouses, multinational companies (IT related, financial services and others), government agencies, universities and hospitals. However, it is not surprising that most graduates of the computer science with ai course hold positions in the computer industry!