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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Learning-Theoretic Foundations of Algorithm Design

Discover insights into AI applications for mathematics and theoretical computer science in this talk by Maria-Florina Balcan from Carnegie Mellon University.
provider YouTube
pricing Free Video
duration 1 hour 4 minutes
sessions On-Demand
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California Institute of Technology YouTube

How Can Machine Learning Help Mathematicians?

Explore how AI models can assist mathematicians in solving open problems, providing insights across various mathematical domains, and supporting automated theorem proving.
provider YouTube
pricing Free Video
duration 59 minutes
sessions On-Demand
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California Institute of Technology YouTube

Testing Artificial Mathematical Intelligence

Explore how to evaluate AI's ability to contribute meaningfully to mathematical processes through a series of tests inspired by Turing's work and Thurston's perspectives.
provider YouTube
pricing Free Video
duration 1 hour 5 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

Explore AI for formal mathematical reasoning, focusing on theorem proving and autoformalization. Learn about challenges through projects on inequality problems and Euclidean geometry formalization.
provider YouTube
pricing Free Video
duration 1 hour 5 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Computational Complexity and Formal Verification

Discover insights from Yannick Forster's talk on AI applications in Mathematics and Theoretical Computer Science at the Simons Institute and SLMath joint workshop.
provider YouTube
pricing Free Video
duration 1 hour 3 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Superintelligent Agents Pose Catastrophic Risks - Safety-Guaranteed LLMs

Explore the catastrophic risks of superintelligent AI agents and Yoshua Bengio's proposed safer alternative: a non-agentic "Scientist AI" designed to explain rather than act, potentially accelerating scientific progress while avoiding dangerous agency.
provider YouTube
pricing Free Video
duration 1 hour 14 minutes
sessions On-Demand
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California Institute of Technology YouTube

Real World AI - Tackling Dynamic MLOps Challenges for Edge Devices

Explore how integrated platforms for data, connectivity, and over-the-air software delivery solve unique challenges in deploying Edge AI across remote, cellular-connected devices.
provider YouTube
pricing Free Video
duration 1 hour
sessions On-Demand
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California Institute of Technology YouTube

HiDream - Now With Native ComfyUI Support

Discover how to use HiDream in ComfyUI with native support, exploring various text encoders and options like FP8 and GGUF without installing custom nodes, potentially achieving better image quality.
provider YouTube
pricing Free Video
duration 12 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Critical Analysis of o3 and o4-mini Models - They're Great, but Easy to Over-Hype

Dive into a critical analysis of OpenAI's o3 and o4-mini models, examining their capabilities, limitations, and real-world performance beyond the hype and official benchmarks.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Bringing Old Photos to Life with AI - Transform a Single Photo into Lifelike Memories

Discover how to transform a single old photo into lifelike moments using AI technology. Learn to restore photos, generate new angles, create character models, and even produce videos that bring cherished memories to life.
provider YouTube
pricing Free Video
duration 16 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!