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REPRESENTING A GRAPH One of the easiest ways to implement a graph is to use a two-dimensional matrix. In this matrix implementation, each of the rows and columns represent a vertex in the graph. The value that is stored in the cell at the intersection of row. v. v v and column. w. w w indicates if there is an edge from vertex. v.A KNIGHT’S TOUR
The “knight’s tour” is a classic problem in graph theory, first posed over 1,000 years ago and pondered by legendary mathematicians including Leonhard Euler before finally being solved in 1823. We will use the knight’s tour problem to illustrate a second common graph algorithm called depth first search. The knight’s tour puzzle is played on a chess board with a single chess pieceREPRESENTING A TREE
WORD LADDERS
Transform the word “FOOL” into the word “SAGE”. In a word ladder puzzle you must make the change occur gradually by changing one letter at a time. At each step you must transform one word into another word, you are not allowed to transform a word into a non-word. The word ladder puzzle was invented in 1878 by Lewis Carroll, theauthor
INTRODUCTION TO TREES Introduction to Trees. The tree is a very commonly encountered data shape that allows us to represent hierarchical relationships. It turns out that many of the structures we encounter when writing software are hierarchical. For instance, every file and directory within a file system is “inside” one and only one parent directory, up to theBRADFIELD
Why I Am Joining Bradfield. I’m excited to announce that in August I’ll be joining the Bradfield School of Computer Science as an instructor, and more importantly a. Tyler Elliot Bettilyon. Jul 18, 2017. Improve Your Hex Life With This One Weird Trick. CONVERTING NUMBER BASES The function convert_to_binary can be modified to accept not only a decimal value but also a base for the intended conversion. The “Divide by 2” idea is simply replaced with a more general “Divide by base.” A new function called convert_to_base, shown below, takes a decimal number and any base between 2 and 16 as parameters.The remainders are still pushed onto the stack until thevalue
BRADFIELD SCHOOL OF COMPUTER SCIENCECOMPUTER ARCHITECTURE AND THE HARDWARE/SOFTWARE INTERFACEDISTRIBUTED SYSTEMS By focusing on foundational computer science disciplines like operating systems, computer architecture and databases, we prepare our graduates to produce high quality software in the short term and breakthrough technologies in the long term. I hope you will join BRADFIELD CSISEE MORE ON BRADFIELDCS.COM PRACTICAL ALGORITHMS AND DATA STRUCTURES Practical Algorithms and Data Structures. This book is a practical—and, we hope, entertaining—introduction to some of the most important algorithms and data structures in computer science. We know that some software engineers think “practical algorithms” is an oxymoron 😞 so we’ve done our best to keep this book brief,useful and
REPRESENTING A GRAPH One of the easiest ways to implement a graph is to use a two-dimensional matrix. In this matrix implementation, each of the rows and columns represent a vertex in the graph. The value that is stored in the cell at the intersection of row. v. v v and column. w. w w indicates if there is an edge from vertex. v.A KNIGHT’S TOUR
The “knight’s tour” is a classic problem in graph theory, first posed over 1,000 years ago and pondered by legendary mathematicians including Leonhard Euler before finally being solved in 1823. We will use the knight’s tour problem to illustrate a second common graph algorithm called depth first search. The knight’s tour puzzle is played on a chess board with a single chess pieceREPRESENTING A TREE
WORD LADDERS
Transform the word “FOOL” into the word “SAGE”. In a word ladder puzzle you must make the change occur gradually by changing one letter at a time. At each step you must transform one word into another word, you are not allowed to transform a word into a non-word. The word ladder puzzle was invented in 1878 by Lewis Carroll, theauthor
INTRODUCTION TO TREES Introduction to Trees. The tree is a very commonly encountered data shape that allows us to represent hierarchical relationships. It turns out that many of the structures we encounter when writing software are hierarchical. For instance, every file and directory within a file system is “inside” one and only one parent directory, up to theBRADFIELD
Why I Am Joining Bradfield. I’m excited to announce that in August I’ll be joining the Bradfield School of Computer Science as an instructor, and more importantly a. Tyler Elliot Bettilyon. Jul 18, 2017. Improve Your Hex Life With This One Weird Trick. CONVERTING NUMBER BASES The function convert_to_binary can be modified to accept not only a decimal value but also a base for the intended conversion. The “Divide by 2” idea is simply replaced with a more general “Divide by base.” A new function called convert_to_base, shown below, takes a decimal number and any base between 2 and 16 as parameters.The remainders are still pushed onto the stack until thevalue
COURSES OFFERED
Short courses. Understand how a microprocessor works from logic gates up, and the interaction between hardware, user code and the operating system kernel . 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. INTRODUCTION TO LISTS Introduction to Lists. Throughout the discussion of basic data structures, we have used Python lists to implement the abstract data types presented. Unfortunately, “list” is not the best name for this collection type, as we will soon see (a better name would be “array”). When discussing the list abstract data type, we considera list to
INTRODUCTION TO TREES Introduction to Trees. The tree is a very commonly encountered data shape that allows us to represent hierarchical relationships. It turns out that many of the structures we encounter when writing software are hierarchical. For instance, every file and directory within a file system is “inside” one and only one parent directory, up to the PRACTICAL ALGORITHMS AND DATA STRUCTURES Practical Algorithms and Data Structures. This book is a practical—and, we hope, entertaining—introduction to some of the most important algorithms and data structures in computer science. We know that some software engineers think “practical algorithms” is an oxymoron 😞 so we’ve done our best to keep this book brief,useful and
COMPUTER ARCHITECTURE AND THE HARDWARE/SOFTWARE INTERFACE Computer Architecture and the Hardware/Software Interface. Next running. 13 Sep - 21 Oct. 5:00pm-6:30pm PT Mon/Thu. Live online. Price. $1800. Apply for this course. Computer architecture—sometimes called “computer organization”—is an important first look at computing from below the software surface.WORD LADDERS
Transform the word “FOOL” into the word “SAGE”. In a word ladder puzzle you must make the change occur gradually by changing one letter at a time. At each step you must transform one word into another word, you are not allowed to transform a word into a non-word. The word ladder puzzle was invented in 1878 by Lewis Carroll, theauthor
THE BIG PICTURE
You don’t need to do anything fancy, but please do take the time to write out an algorithm and think about how long it will take to run on small or large inputs. Here is a simple Python solution: def sum_to_n(n): total = 0 for i in range(n + 1): total += i return total. PRIORITY QUEUES WITH BINARY HEAPS Priority Queues with Binary Heaps. One important variation of the queue is the priority queue. A priority queue acts like a queue in that items remain in it for some time before being dequeued. However, in a priority queue the logical order of items inside a queue is determined by their “priority”. Specifically, the highest priorityitems
PERFORMANCE OF PYTHON TYPES The second major Python data type is the dictionary. As you might recall, a dictionary differs from a list in its ability to access items by key rather than position. For now, the most important characteristic to note is that “getting” and “setting” an item in a dictionary are both. O ( 1) O (1) O(1) operations. IMPROVE YOUR HEX LIFE WITH THIS ONE WEIRD TRICK Improve Your Hex Life With This One Weird Trick. Myles Byrne. Follow. Jun 28, 2017 · 5 min read. One of the best ways to learn about network protocols is to deeply analyze raw network packet hex dumps. Few people do this, which is a shame: there’s a lot to be said for going straight to the raw data and comparing it to the mental modelyou
BRADFIELD SCHOOL OF COMPUTER SCIENCECOMPUTER ARCHITECTURE AND THE HARDWARE/SOFTWARE INTERFACEDISTRIBUTED SYSTEMS By focusing on foundational computer science disciplines like operating systems, computer architecture and databases, we prepare our graduates to produce high quality software in the short term and breakthrough technologies in the long term. I hope you will joinCOURSES OFFERED
Short courses. Understand how a microprocessor works from logic gates up, and the interaction between hardware, user code and the operating system kernel . 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. BRADFIELD CSISEE MORE ON BRADFIELDCS.COM PRACTICAL ALGORITHMS AND DATA STRUCTURES Practical Algorithms and Data Structures. This book is a practical—and, we hope, entertaining—introduction to some of the most important algorithms and data structures in computer science. We know that some software engineers think “practical algorithms” is an oxymoron 😞 so we’ve done our best to keep this book brief,useful and
COMPUTER ARCHITECTURE AND THE HARDWARE/SOFTWARE INTERFACE Computer Architecture and the Hardware/Software Interface. Next running. 13 Sep - 21 Oct. 5:00pm-6:30pm PT Mon/Thu. Live online. Price. $1800. Apply for this course. Computer architecture—sometimes called “computer organization”—is an important first look at computing from below the software surface. INTRODUCTION TO TREES Introduction to Trees. The tree is a very commonly encountered data shape that allows us to represent hierarchical relationships. It turns out that many of the structures we encounter when writing software are hierarchical. For instance, every file and directory within a file system is “inside” one and only one parent directory, up to theA KNIGHT’S TOUR
The “knight’s tour” is a classic problem in graph theory, first posed over 1,000 years ago and pondered by legendary mathematicians including Leonhard Euler before finally being solved in 1823. We will use the knight’s tour problem to illustrate a second common graph algorithm called depth first search. The knight’s tour puzzle is played on a chess board with a single chess piece INTRODUCTION TO LISTS Introduction to Lists. Throughout the discussion of basic data structures, we have used Python lists to implement the abstract data types presented. Unfortunately, “list” is not the best name for this collection type, as we will soon see (a better name would be “array”). When discussing the list abstract data type, we considera list to
BRADFIELD
Why I Am Joining Bradfield. I’m excited to announce that in August I’ll be joining the Bradfield School of Computer Science as an instructor, and more importantly a. Tyler Elliot Bettilyon. Jul 18, 2017. Improve Your Hex Life With This One Weird Trick.REPRESENTING A TREE
BRADFIELD SCHOOL OF COMPUTER SCIENCECOMPUTER ARCHITECTURE AND THE HARDWARE/SOFTWARE INTERFACEDISTRIBUTED SYSTEMS By focusing on foundational computer science disciplines like operating systems, computer architecture and databases, we prepare our graduates to produce high quality software in the short term and breakthrough technologies in the long term. I hope you will joinCOURSES OFFERED
Short courses. Understand how a microprocessor works from logic gates up, and the interaction between hardware, user code and the operating system kernel . 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. BRADFIELD CSISEE MORE ON BRADFIELDCS.COM PRACTICAL ALGORITHMS AND DATA STRUCTURES Practical Algorithms and Data Structures. This book is a practical—and, we hope, entertaining—introduction to some of the most important algorithms and data structures in computer science. We know that some software engineers think “practical algorithms” is an oxymoron 😞 so we’ve done our best to keep this book brief,useful and
COMPUTER ARCHITECTURE AND THE HARDWARE/SOFTWARE INTERFACE Computer Architecture and the Hardware/Software Interface. Next running. 13 Sep - 21 Oct. 5:00pm-6:30pm PT Mon/Thu. Live online. Price. $1800. Apply for this course. Computer architecture—sometimes called “computer organization”—is an important first look at computing from below the software surface. INTRODUCTION TO TREES Introduction to Trees. The tree is a very commonly encountered data shape that allows us to represent hierarchical relationships. It turns out that many of the structures we encounter when writing software are hierarchical. For instance, every file and directory within a file system is “inside” one and only one parent directory, up to theA KNIGHT’S TOUR
The “knight’s tour” is a classic problem in graph theory, first posed over 1,000 years ago and pondered by legendary mathematicians including Leonhard Euler before finally being solved in 1823. We will use the knight’s tour problem to illustrate a second common graph algorithm called depth first search. The knight’s tour puzzle is played on a chess board with a single chess piece INTRODUCTION TO LISTS Introduction to Lists. Throughout the discussion of basic data structures, we have used Python lists to implement the abstract data types presented. Unfortunately, “list” is not the best name for this collection type, as we will soon see (a better name would be “array”). When discussing the list abstract data type, we considera list to
BRADFIELD
Why I Am Joining Bradfield. I’m excited to announce that in August I’ll be joining the Bradfield School of Computer Science as an instructor, and more importantly a. Tyler Elliot Bettilyon. Jul 18, 2017. Improve Your Hex Life With This One Weird Trick.REPRESENTING A TREE
INTRODUCTION TO LISTS Introduction to Lists. Throughout the discussion of basic data structures, we have used Python lists to implement the abstract data types presented. Unfortunately, “list” is not the best name for this collection type, as we will soon see (a better name would be “array”). When discussing the list abstract data type, we considera list to
THE BIG PICTURE
You don’t need to do anything fancy, but please do take the time to write out an algorithm and think about how long it will take to run on small or large inputs. Here is a simple Python solution: def sum_to_n(n): total = 0 for i in range(n + 1): total += i return total. DATA STRUCTURES IN PRACTICE Bradfield's Data Structures in Practice course is designed for software engineers looking to go beyond a "textbook" understanding of the topic and confront the challenges and opportunities at the intersection of computer science theory and software engineering.. We agree with decades of conventional wisdom that familiarity with algorithms and data structures is one of the most empoweringREPRESENTING A TREE
Nodes and references representation. Our first method to represent a tree uses instances of a Node class along with references between node instances. Let us consider a small example: Using nodes and references, we might think of this tree as being structured like: We will start out with a simple class definition for the nodes andreferences
CONVERTING NUMBER BASES The function convert_to_binary can be modified to accept not only a decimal value but also a base for the intended conversion. The “Divide by 2” idea is simply replaced with a more general “Divide by base.” A new function called convert_to_base, shown below, takes a decimal number and any base between 2 and 16 as parameters.The remainders are still pushed onto the stack until thevalue
PRIM’S SPANNING TREE ALGORITHM Prim’s algorithm belongs to a family of algorithms called the “greedy algorithms” because at each step we will choose the cheapest next step. In this case the cheapest next step is to follow the edge with the lowest weight. Our last step is to develop Prim’s algorithm. The basic idea in constructing a spanning tree is asfollows: While
INTRODUCTION TO DEQUES Introduction to Deques. A deque, also known as a double-ended queue, is an ordered collection of items similar to the queue. It has two ends, a front and a rear, and the items remain positioned in the collection. What makes a deque different is the unrestrictive nature of adding and removing items. New items can be added at either thefront or
THE BINARY SEARCH
The Binary Search. It is possible to take greater advantage of the ordered list if we are clever with our comparisons. In the sequential search, when we compare against the first item, there are at most. n-1 n − 1 more items to look through if the first item is not what we are looking for. Instead of searching the list in sequence, a binaryBRADFIELD
Why I Am Joining Bradfield. I’m excited to announce that in August I’ll be joining the Bradfield School of Computer Science as an instructor, and more importantly a. Tyler Elliot Bettilyon. Jul 18, 2017. Improve Your Hex Life With This One Weird Trick. PRIORITY QUEUES WITH BINARY HEAPS Priority Queues with Binary Heaps. One important variation of the queue is the priority queue. A priority queue acts like a queue in that items remain in it for some time before being dequeued. However, in a priority queue the logical order of items inside a queue is determined by their “priority”. Specifically, the highest priorityitems
BRADFIELD SCHOOL OF COMPUTER SCIENCECOMPUTER ARCHITECTURE AND THE HARDWARE/SOFTWARE INTERFACEDISTRIBUTED SYSTEMSBRADFIELD SCHOOL UKBRADFIELD COLLEGEBRADFIELD COLLEGE UKBRADFIELD ELEMENTARYBRADFIELD ELEMENTARY DALLASBRADFIELD ELEMENTARY GARLAND If you are a strong programmer but strive to do more challenging and rewarding work, then Bradfield is here to serve you. We feel that it’s relatively easy to teach yourself a new language or technology, so we focus on the challenging computer science concepts that will make you a significantly better engineer, but that are hard to learn without some instruction and a supportive environment.COURSES OFFERED
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. BRADFIELD CSISEE MORE ON BRADFIELDCS.COMCOMPUTER SCIENCE DEGREECUNY COMPUTER SCIENCE PROGRAMSCOMPUTER SCIENCE INFORMATION TECHNOLOGY …COMPUTER SCIENCES CORPORATION CSCDIFFERENCE BETWEEN COMPUTERENGINEERING …
PRACTICAL ALGORITHMS AND DATA STRUCTURES Our best explanation for such skepticism is that those engineers never encountered these topics in a way that encouraged deep understanding. Perhaps they were unfortunate enough to participate in a computer science program that encouraged rote memorization, or subjected themselves to such an experience for the sake of succeeding at technical interviews. INTRODUCTION TO TREES The tree is a very commonly encountered data shape that allows us to represent hierarchical relationships. It turns out that many of the structures we encounter when writing software are hierarchical. For instance, every file and directory within a file system is “inside” one and only one parent directory, up to the rootdirectory.
BRADFIELD
Firstly an announcement: as of June 2020 (6 months from now) all Bradfield classes will be conducted online via Zoom, instead of our INTRODUCTION TO LISTS Throughout the discussion of basic data structures, we have used Python lists to implement the abstract data types presented. Unfortunately, “list” is not the best name for this collection type, as we will soon see (a better name would be “array”).A KNIGHT’S TOUR
The “knight’s tour” is a classic problem in graph theory, first posed over 1,000 years ago and pondered by legendary mathematicians including Leonhard Euler before finally being solved in 1823. We will use the knight’s tour problem to illustrate a second common graph algorithm called depth first search. The knight’s tour puzzle is played on a chess board with a single chess pieceREPRESENTING A TREE
IMPROVE YOUR HEX LIFE WITH THIS ONE WEIRD TRICK One of the best ways to learn about network protocols is to deeply analyze raw network packet hex dumps. Few people do this, which is a shame: there’s a lot to be said for going straight to the raw data and comparing it to the mental model you’re trying to build up. BRADFIELD SCHOOL OF COMPUTER SCIENCECOMPUTER ARCHITECTURE AND THE HARDWARE/SOFTWARE INTERFACEDISTRIBUTED SYSTEMSBRADFIELD SCHOOL UKBRADFIELD COLLEGEBRADFIELD COLLEGE UKBRADFIELD ELEMENTARYBRADFIELD ELEMENTARY DALLASBRADFIELD ELEMENTARY GARLAND If you are a strong programmer but strive to do more challenging and rewarding work, then Bradfield is here to serve you. We feel that it’s relatively easy to teach yourself a new language or technology, so we focus on the challenging computer science concepts that will make you a significantly better engineer, but that are hard to learn without some instruction and a supportive environment.COURSES OFFERED
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. BRADFIELD CSISEE MORE ON BRADFIELDCS.COMCOMPUTER SCIENCE DEGREECUNY COMPUTER SCIENCE PROGRAMSCOMPUTER SCIENCE INFORMATION TECHNOLOGY …COMPUTER SCIENCES CORPORATION CSCDIFFERENCE BETWEEN COMPUTERENGINEERING …
PRACTICAL ALGORITHMS AND DATA STRUCTURES Our best explanation for such skepticism is that those engineers never encountered these topics in a way that encouraged deep understanding. Perhaps they were unfortunate enough to participate in a computer science program that encouraged rote memorization, or subjected themselves to such an experience for the sake of succeeding at technical interviews. INTRODUCTION TO TREES The tree is a very commonly encountered data shape that allows us to represent hierarchical relationships. It turns out that many of the structures we encounter when writing software are hierarchical. For instance, every file and directory within a file system is “inside” one and only one parent directory, up to the rootdirectory.
BRADFIELD
Firstly an announcement: as of June 2020 (6 months from now) all Bradfield classes will be conducted online via Zoom, instead of our INTRODUCTION TO LISTS Throughout the discussion of basic data structures, we have used Python lists to implement the abstract data types presented. Unfortunately, “list” is not the best name for this collection type, as we will soon see (a better name would be “array”).A KNIGHT’S TOUR
The “knight’s tour” is a classic problem in graph theory, first posed over 1,000 years ago and pondered by legendary mathematicians including Leonhard Euler before finally being solved in 1823. We will use the knight’s tour problem to illustrate a second common graph algorithm called depth first search. The knight’s tour puzzle is played on a chess board with a single chess pieceREPRESENTING A TREE
IMPROVE YOUR HEX LIFE WITH THIS ONE WEIRD TRICK One of the best ways to learn about network protocols is to deeply analyze raw network packet hex dumps. Few people do this, which is a shame: there’s a lot to be said for going straight to the raw data and comparing it to the mental model you’re trying to build up.COURSES OFFERED
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. PRACTICAL ALGORITHMS AND DATA STRUCTURES Our best explanation for such skepticism is that those engineers never encountered these topics in a way that encouraged deep understanding. Perhaps they were unfortunate enough to participate in a computer science program that encouraged rote memorization, or subjected themselves to such an experience for the sake of succeeding at technical interviews. DATA STRUCTURES IN PRACTICE Bradfield's Data Structures in Practice course is designed for software engineers looking to go beyond a "textbook" understanding of the topic and confront the challenges and opportunities at the intersection of computer science theory and software engineering.. We agree with decades of conventional wisdom that familiarity with algorithms and data structures is one of the most empowering FREQUENTLY ASKED QUESTIONS We conduct highly interactive tutorial style classes of 10-15 students, combining question-and-answer style teaching with hands on problem solving.Before the class, your instructor will ask you to watch a video lecture or read a textbook section or paper. Instead of repeating the lecture in class, we will probe your understanding and consolidate your knowledge.BRADFIELD
Firstly an announcement: as of June 2020 (6 months from now) all Bradfield classes will be conducted online via Zoom, instead of our INTRODUCTION TO DEQUES A deque, also known as a double-ended queue, is an ordered collection of items similar to the queue.It has two ends, a front and a rear, and the items remain positioned in the collection. What makes a deque different is the unrestrictive nature of adding and removing items. REPRESENTING A GRAPH In this section we will look at two common abstract representations of graphs: the adjacency matrix and the unfortunately named adjacency“list”.
THE BINARY SEARCH
It is possible to take greater advantage of the ordered list if we are clever with our comparisons. In the sequential search, when we compare against the first item, there are at most n − 1 n-1 n − 1 more items to look through if the first item is not what we are looking for. Instead of searching the list in sequence, a binary search will start by examining the middle item. PERFORMANCE OF PYTHON TYPES The “Average Case” The efficiences provided in the above tables are performances in the average case.In rare cases, “contains”, “get item” and “set item” can degenerate into O (n) O(n) O (n) performance but, again, we’ll discuss that when we talk about different ways of implementing a dictionary. PRIM’S SPANNING TREE ALGORITHM For our last graph algorithm let’s consider a problem that online game designers and Internet radio providers face. The problem is that they want to efficiently transfer a piece of information to anyone and everyone who may be listening. Contact us FAQ Courses AN INTENSIVE ONLINE SCHOOL FOR SOFTWARE ENGINEERS SEEKING MASTERY.Explore courses __
Are you striving to be a high-impact technologist? THEN BRADFIELD MAY BE FOR YOU. ------------------------- LEARN THE HARD STUFF Instead of teaching you frameworks of technologies you could easily learn about yourself, we focus on deep topics in computer science and software engineering rarely taught outside of top universities. STUDY AROUND YOUR WORK SCHEDULE Courses are structured as short modules that can be taken individually to accelerate an area of study, or combined for a more comprehensive computer science curriculum. Classes run on evenings and weekends.LEARN EFFECTIVELY
Small tutorials are combined with programming exercises, textbook study and paper reading to maximize effectiveness, and all instructors are highly experienced teachers and engineers. A WORD FROM OUR PRESIDENT -------------------------Dear developer,
AVERAGE CODE IS LETTING US DOWN, AND THE STAKES HAVE NEVER BEEN HIGHER: bits are replacing atoms, algorithms are attaining agency, and “infrastructure” is coming to mean cloud services, not roads and railways. Within the next few years, algorithms will be driving our cars and defining our virtual worlds. Yet while the impact of technology is increasing, WE ARE SUFFERING A CRISIS OF QUALITY. Over 50,000 new software developers enter the industry every year, but only a small fraction are on a path toward excellence. Few will produce lasting, high quality software. AT BRADFIELD WE STRIVE TO CLOSE THIS GAP BY HELPING SOFTWARE DEVELOPERS BECOME HIGH IMPACT ENGINEERS. By focusing on foundational computer science disciplines like operating systems, computer architecture and databases, we prepare our graduates to produce high quality software in the short term and breakthrough technologies inthe long term.
I hope you will join us.Sincerely,
Oz Nova
President and lead instructor COURSES STARTING SOON ------------------------- MORE __ learn more __ COMPUTER ARCHITECTURE AND THE HARDWARE/SOFTWARE INTERFACE ------------------------- 5:00pm-6:30pm PT Mon/Thu4 Jan - 11 Feb 2021
Location: Live onlineEnrollments open
MORE __ learn more __COMPUTER NETWORKING
------------------------- 5:00pm-6:30pm PT Tue/Fri5 Jan - 12 Feb 2021
Location: Live onlineEnrollments open
MORE __ learn more __ PROBLEM SOLVING WITH ALGORITHMS AND DATA STRUCTURES ------------------------- 5:00pm-6:30pm PT Mon/Thu8 Feb - 18 Mar 2021
Location: Live onlineEnrollments open
FURTHER SCHEDULED COURSES -------------------------Course
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See full course list __NEWSLETTER
For new courses, as well as the best resources and tech news that matters, subscribe to our weekly newsletter Bradfield Beeps.__
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Meet the instructorsOZ NOVA
------------------------- Oz is the lead instructor at Bradfield, and most frequently teaches _Algorithms and Data Structures_, _Computer Architecture_, _Databases_, _Operating Systems_ and _Distributed Systems_. Prior to co-founding Bradfield, he worked for a decade as a software engineer and engineering manager, including as CTO and Co-founder of Topguest (acquired by Switchfly) and Vida.com.ELLIOTT JIN
------------------------- Elliott is an instructor and course developer at Bradfield. Previously he was a tech lead at Triplebyte, where he designed assessments for hiring software engineers, and a senior engineer at Dropbox, where he built a distributed search engine. In addition, he has experience as a mentor for the Google Summer of Code and a tutor at Stanford's Center for Teaching and Learning.TOM BALLINGER
------------------------- Tom is a software engineer at Dropbox, prior to which he was the first facilitator at Recurse Center, a programming workshop for experienced programmers. For four years he helped participants learn new programming languages, build fancy terminal UIs and discover concurrent network programming, which resulted in a lot of BitTorrent clients being built.TOM ALCORN
------------------------- Tom Alcorn graduated from MIT with a degree in mathematics and now works as a software engineer at Join, developing a next generation query language for building data. Previously he worked at Flux.io and Everquote. He teaches the _Mathematics for Computing_ course at Bradfield and has particular interests in machine learning andmotorcycles.
ARTICLES
------------------------- CUTTING THROUGH TO WHAT MATTERS__ The areas of technology that are worth learning and spending time on,in our opinion.
YOU ARE NOT GOOGLE__ How to avoid the hype and make appropriate technology choices given your company’s size and needs. LEARN EVERY LANGUAGE__ Why you should understand languages and compilers generally, rather the details of any one. THE COST OF FORSAKING C__ What we lose as we spend more time with high-level languages, and why we shouldn’t neglect C.TEACHYOURSELFCS.COM
Our microsite listing the best resources and focus areas for those wishing to teach themselves computer science.Explore __
TESTIMONIALS
------------------------- Both Myles and Oz are incredible engineers and teachers, and were the two people who have had the greatest impact on my career as an engineer. Working with them, I experienced the highest growth periodof my career.
OMAR RAYWARD
CTO at Tidewater
Myles and Oz are extraordinary teachers. They have a rare combination of deep theoretical knowledge, practical experience, and a knack for distilling complex topics into simple ideas. Under their tutelage I’ve become a higher-leverage engineer, a more capable problem-solver, and most importantly, a more confident, dedicatedlearner.
GRANT WU
Software Engineer at Clover Health Myles and Oz taught me to be tenacious about figuring out what’s going on under the hood, rather than blindly trusting the abstractions I’m working with. I will look back upon my training with Bradfield as a significant inflection point in my development as an engineer andas a thinker.
AMMAR MIAN
Software Engineer at Morning Consult If you care about software craftsmanship then you need to master computer science, full stop. I’m embarrassed to say that I once scoffed at the idea of studying the fundamentals before learning the latest trends—I blame my bootcamp roots—because now that I’ve started, I’ve become a vastly better engineer.JASON BENN
Software Engineer at Minerva Take a Bradfield course if you want to accelerate your software engineering career. The classes are small, the material is relevant, and the pace is fast but manageable. I was promoted to Lead iOS Engineer after taking one course!JACQUELINE SLOVES
Lead iOS Engineer at Vida Health The Bradfield program’s closely-mentored instruction is exactly the sort of prep we think sets candidates up for success.BEN KAMENS
Head of Engineering at Khan Academy*
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STILL HAVE QUESTIONS? See full FAQ Contact us Why should I study with Bradfield? If you are a strong programmer but strive to do more challenging and rewarding work, then Bradfield is here to serve you. We feel that it’s relatively easy to teach yourself a new language or technology, so we focus on the challenging computer science concepts that will make you a significantly better engineer, but that are hard to learn without some instruction and a supportive environment. As far as we know, we are the only institution that does this outside of a university environment. What does a typical class look like? We conduct highly interactive tutorial style classes of 12-15 students, combining question-and-answer style teaching with hands on problem solving. Before the class, your instructor will ask you to watch a video lecture or read a textbook section or paper. Instead of repeating the lecture in class, we will probe your understanding and consolidate your knowledge. Many of our courses will involve a major project (like writing an interpreter or database system) or a series of minor projects (like adding features to an operating system, writing a load balancer or re-deriving TCP) and your instructor will help you extend your understanding to these and other applications. How are courses structured? For any given course, classes run twice per week for 4-6 weeks. We also suggest an hour of preparation per hour of class, and are able to provide more prework and homework for those who have the capacity. How does Bradfield compare to a university? The top computer science departments in the US have done an excellent job of identifying the lasting ideas in computer science that every practitioner should learn. Unfortunately, the conventional university format—lectures and exams, spread over four years—does not suit everybody. Relative to a university, our own offering covers many of the same big ideas and foundational topics, but in a radicallydifferent format.
By using online courseware to provide the equivalent of lectures, the in-person portion can be dedicated to deepening understanding. By limiting courses to strong programmers, keeping classes small, and eliminating excessively theoretical content as well as exams and graded assignments, we are able to cover a comparable amount of content in an expedited manner. 2019 Bradfield LLC, All rights reservedCourses FAQ __
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