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Computer Science Courses

953 Courses

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California Institute of Technology YouTube

Formal Models of Machine Teaching Without Collusion

Explore formal models of machine teaching without collusion in this theoretical talk on trustworthy AI by Sandra Zilles from the University of Regina.
provider YouTube
pricing Free Video
duration 55 minutes
sessions On-Demand
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California Institute of Technology YouTube

Trustworthy AI for Legal Reasoning

Explore how AI can be applied to legal reasoning with a focus on trustworthiness, presented by Ruzica Piskac from Yale University at the Simons Institute.
provider YouTube
pricing Free Video
duration 1 hour 4 minutes
sessions On-Demand
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California Institute of Technology YouTube

AI for Safety Critical Control

Explore theoretical foundations of AI in safety-critical control systems with Claire Tomlin from UC Berkeley, focusing on trustworthiness in high-risk applications.
provider YouTube
pricing Free Video
duration 47 minutes
sessions On-Demand
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California Institute of Technology YouTube

Robust Algorithmic Recourse with Predictions

Explore algorithmic recourse in machine learning, focusing on creating robust suggestions that remain valid even when models change, using predictions to balance cost-effectiveness and reliability.
provider YouTube
pricing Free Video
duration 46 minutes
sessions On-Demand
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California Institute of Technology YouTube

Veridical Data Science Towards Trustworthy AI

Explore the principles of veridical data science and its application in developing trustworthy AI systems with Bin Yu from UC Berkeley.
provider YouTube
pricing Free Video
duration 53 minutes
sessions On-Demand
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California Institute of Technology YouTube

Provably Safe and Beneficial AI

Explore Stuart Russell's insights on creating AI systems that are mathematically proven to be safe and beneficial for humanity.
provider YouTube
pricing Free Video
duration 1 hour 9 minutes
sessions On-Demand
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California Institute of Technology YouTube

Safety of GenAI Through the Lens of Security and Cryptography

Explore safety challenges of Generative AI through security and cryptography perspectives, with insights from Somesh Jha's theoretical approach to trustworthy AI.
provider YouTube
pricing Free Video
duration 32 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Safety of GenAI Through the Lens of Security and Cryptography

Explore safety challenges of Generative AI through security and cryptography perspectives with Somesh Jha from University of Wisconsin-Madison.
provider YouTube
pricing Free Video
duration 1 hour 6 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Veridical Data Science Towards Trustworthy AI

Explore the principles of veridical data science and its role in developing trustworthy AI systems with UC Berkeley's Bin Yu.
provider YouTube
pricing Free Video
duration 50 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Theoretical Aspects of Trustworthy AI - Introduction

Explore theoretical foundations of Trustworthy AI with Sanjit Seshia, examining key concepts and principles that underpin reliable artificial intelligence systems.
provider YouTube
pricing Free Video
duration 46 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!