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Johns Hopkins University: Computer Science Focus Areas - InfoSec & Data Science, Schemes and Mind Maps of Computer Science

Information Security educationComputer Science curriculumJohns Hopkins University coursesData Science education

A comprehensive list of focus areas within the computer science program at johns hopkins university. The areas of information security and data science are highlighted, including courses such as modern cryptography, web security, information retrieval and web agents, machine learning, and data intensive computing.

What you will learn

  • What prerequisites are required for enrolling in the Machine Learning course at Johns Hopkins University?
  • Which data science courses are available in the Computer Science program at Johns Hopkins University?
  • What computer science focus areas does Johns Hopkins University offer in Information Security?

Typology: Schemes and Mind Maps

2021/2022

Uploaded on 08/05/2022

dirk88
dirk88 🇧🇪

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Download Johns Hopkins University: Computer Science Focus Areas - InfoSec & Data Science and more Schemes and Mind Maps Computer Science in PDF only on Docsity! Focus Areas within Computer Science @ JHU Information Security Blockchains & Cryptocurrencies Modern Cryptography Network Security Practical Cryptographic Systems Security and Privacy in Computing Web Security Natural Language Processing Artificial Intelligence Information Retrieval and Web Agents Knowledge from Text Machine Learning Natural Language Processing Machine Translation Machine Learning: Linguistic & Sequence Modeling Software Engineering Compilers & Interpreters Intro to Algorithms Human-Computer Interaction Object-Oriented Software Engineering Parallel Programming Programming Languages User Interfaces & Mobile Applications Robotics Algorithms for Sensor-Based Robotics Artificial Intelligence Computer Vision Computer Integrated Surgery I Computer Integrated Surgery II Human-Robot Interaction Systems & Networking Cloud Computing Computer Networks Compilers & Interpreters Database Systems Distributed Systems Operating Systems Parallel Programming Fundamentals of Computing Approximation Algorithms Algorithmic Game Theory Declarative Methods Intro to Algorithms Programming Languages Randomized & Big Data Algorithms Business Computing Computer Science Innovation & Entrepreneurship Databases Information Retrieval & Web Agents Object Oriented Software Engineering Security & Privacy in Computing User Interfaces & Mobile Applications Web Security Big Data Approximation Algorithms Causal Inference Data Intensive Computing Machine Learning Machine Learning: Deep Learning Machine Learning: Optimization Machine Learning: Representation Learning Randomized and Big Data Algorithms Computational Biology Computational Genomics: Sequences Computational Genomics: Data Analysis Computational Genomics: Applications Computational Personal Genomics Foundations of Computational Biology Intro to Algorithms Machine Learning for Genomic Data
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