Courses offered
Bradfield offers courses covering core topics in computer science, as well as a variety of specialty courses.
Core computer science
Computer Architecture and the Hardware/Software Interface
Understand how a microprocessor works from logic gates up, and the interaction between hardware, user code and the operating system kernel.
5:00pm-6:30pm PT Tue/Fri
7 Jan - 14 Feb 2020
Location: Live online
Almost full
Problem Solving with Algorithms and Data Structures
Learn about common algorithms, data structures, and techniques for algorithmic problem solving. This course is an accelerated view of what is commonly covered in an undergraduate algorithms course.
5:00pm-6:30pm PT Tue/Fri
31 Mar - 8 May 2020
Location: Live online
Enrollments open
Computer Networking
Understand the protocols and technology enabling the Internet. Covers all layers of the OSI model, with a particular focus on understanding IP, TCP, UDP and common application layer protocols.
5:00pm-6:30pm PT Tue/Fri
18 Feb - 27 Mar 2020
Location: Live online
Enrollments open
Mathematics for Computing
Learn the math that’s useful in software engineering, including combinatorics and probability theory, set theory, graphs, number theory for cryptography and basic linear algebra.
Contact us about next availability
Databases
Learn about modern and historical innovations in data representation, and understand the architectures of both traditional relational DBMSs and modern distributed data stores.
5:00pm-6:30pm Mon/Thu
30 Mar - 11 May 2020
Location: San Francisco
Enrollments open
Languages, Compilers and Interpreters
Learn about languages generally, rather than one at a time. Covers compiler and interpreter architectures, and the key similarities between various languages and their implementations.
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Operating Systems
Learn about the fundamental problems solved by modern operating systems, and the decisions faced by operating system designers.
5:00pm-6:30pm Mon/Thu
6 Jan - 13 Feb 2020
Location: San Francisco
Enrollments open
Distributed Systems
Understand common patterns in distributed systems design, and the tradeoffs we are forced to make between consistency and availability in the context of distributed data and computation.
5:00pm-6:30pm Mon/Thu
17 Feb - 26 Mar 2020
Location: San Francisco
Enrollments open
Specialty courses
Deep Learning for Engineers
Understand the fundamentals of machine learning and modern deep learning techniques from an engineer’s perspective.
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Cryptocurrencies
Learn the theory and mechanics behind cryptocurrencies, from the core data structures of blockchains through to practical aspects of smart contract development.
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Engineering Leadership
Learn the foundational ideas and technical elements of effective engineering leadership, from communication and team building through to process and organization design.
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Program Interfaces, Patterns and Anti-patterns
Learn what good API design looks like across a variety of program boundaries, through case studies and exercises.
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