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:books: List of awesome university courses for learning Computer Science!

2 years after

Awesome Courses Awesome

Introduction

There is a lot of hidden treasure lying within university pages scattered across the internet. This list is an attempt to bring to light those awesome courses which make their high-quality material i.e. assignments, lectures, notes, readings & examinations available online for free.

Table of Contents

Legend

  • Lecture Videos - Lecture Videos
  • Lecture Notes - Lecture Notes
  • Assignments - Assignments / Labs
  • Readings - Readings

Courses

Systems

  • CS 61C Great Ideas in Computer Architecture (Machine Structures) UC Berkeley Lecture VideosLecture Notes Assignments Readings
    • The subjects covered in this course include: C and assembly language programming, translation of high-level programs into machine language, computer organization, caches, performance measurement, parallelism, CPU design, warehouse-scale computing, and related topics.
    • Lecture Videos
    • Lecture Notes
    • Resources
    • Old Exams
  • CS 107 Computer Organization & Systems Stanford University Lecture Videos Assignments
    • CS107 is the third course in Stanford's introductory programming sequence. The course will work from the C programming language down to the microprocessor to de-mystify the machine. With a complete understanding of how computer systems execute programs and manipulate data, you will become a more effective programmer, especially in dealing with issues of debugging, performance, portability, and robustness.
    • Lecture Videos
    • Assignments
  • CS 140 Operating Systems Stanford University Assignments Lecture Notes
    • This class introduces the basic facilities provided in modern operating systems. The course divides into three major sections. The first part of the course discusses concurrency. The second part of the course addresses the problem of memory management. The third major part of the course concerns file systems.
    • Lecture Notes
    • Assignments
  • 6.004 Computation Structures MIT Assignments Lecture Notes Lecture Videos
    • Introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. Multilevel implementation strategies; definition of new primitives (e.g., gates, instructions, procedures, processes) and their mechanization using lower-level elements. Analysis of potential concurrency; precedence constraints and performance measures; pipelined and multidimensional systems. Instruction set design issues; architectural support for contemporary software structures. 4 Engineering Design Points. 6.004 offers an introduction to the engineering of digital systems. Starting with MOS transistors, the course develops of series of building blocks logic gates, combinational and sequential circuits, finite-state machines, computers and finally complete systems. Both hardware and software mechanisms are explored through a series of design examples.
    • Youtube Playlist
    • Lecture Notes
    • Labs-Assignments
  • CS 162 Operating Systems and Systems Programming UC Berkeley Lecture Videos Lecture Notes Assignments Readings
    • The purpose of this course is to teach the design of operating systems and operating systems concepts that appear in other advanced systems. Topics we will cover include concepts of operating systems, systems programming, networked and distributed systems, and storage systems, including multiple-program systems (processes, interprocess communication, and synchronization), memory allocation (segmentation, paging), resource allocation and scheduling, file systems, basic networking (sockets, layering, APIs, reliability), transactions, security, and privacy.
  • CS 168 Introduction to the Internet: Architecture and Protocols UC Berkeley Lecture Notes Assignments
    • This course is an introduction to the Internet architecture. We will focus on the concepts and fundamental design principles that have contributed to the Internet's scalability and robustness and survey the various protocols and algorithms used within this architecture. Topics include layering, addressing, intradomain routing, interdomain routing, reliable delivery, congestion control, and the core protocols (e.g., TCP, UDP, IP, DNS, and HTTP) and network technologies (e.g., Ethernet, wireless).
    • Lecture Notes & Assignments
    • Discussion Notes
  • CS 179 GPU Programming Caltech Assignments Lecture Notes
    • This course will cover programming techniques for the GPU. The course will introduce NVIDIA's parallel computing language, CUDA. Beyond covering the CUDA programming model and syntax, the course will also discuss GPU architecture, high performance computing on GPUs, parallel algorithms, CUDA libraries, and applications of GPU computing.
    • Assignments
    • Lecture Notes
  • CS 186 Introduction to Database Systems UC Berkeley Lecture Videos Assignments Readings Lecture Notes
    • In the project assignments in CS186, you will write a basic database management system called SimpleDB. For this project, you will focus on implementing the core modules required to access stored data on disk; in future projects, you will add support for various query processing operators, as well as transactions, locking, and concurrent queries.
    • Youtube Playlist
    • Lecture Notes
    • Projects
  • CS 241 Systems Programming (Spring 2016) Univ of Illinois, Urbana-Champaign Assignments Lecture Notes
    • System programming refers to writing code that tasks advantage of operating system support for programmers. This course is designed to introduce you to system programming. By the end of this course, you should be proficient at writing programs that take full advantage of operating system support. To be concrete, we need to fix an operating system and we need to choose a programming language for writing programs. We chose the C language running on a Linux/UNIX operating system (which implements the POSIX standard interface between the programmer and the OS).
    • Assignments
    • Labs
    • Github Page
    • Crowd Sourced Book
  • CS 425 Distributed Systems Univ of Illinois, Urbana-Champaign Assignments Readings
    • Brilliant set of lectures and reading material covering fundamental concepts in distributed systems such as Vector clocks, Consensus and Paxos. This is the 2016 version by Prof Indranil Gupta.
    • Lectures
    • Assignments
  • CS 452 Real-Time Programming University of Waterloo Assignments Lecture Notes
    • Write a real-time OS microkernel in C, and application code to operate a model train set in response to real-time sensor information. The communication with the train set runs at 2400 baud so it takes about 61 milliseconds to ask all of the sensors for data about the train's possible location. This makes it particularly challenging because a train can move about 3 centimeters in that time. One of the most challenging and time-consuming courses at the University of Waterloo.
    • Assignments
    • Lecture notes
  • CS 2043 Unix Tools & Scripting Cornell University Assignments Lecture NotesReadings
    • UNIX-like systems are increasingly being used on personal computers, mobile phones, web servers, and many other systems. They represent a wonderful family of programming environments useful both to computer scientists and to people in many other fields, such as computational biology and computational linguistics, in which data is naturally represented by strings. This course provides an intensive training to develop skills in Unix command line tools and scripting that enable the accomplishment and automation of large and challenging computing tasks. The syllabus takes students from shell basics and piping, to regular-expression processing tools, to shell scripting and Python.
    • Syllabus
    • Lectures
    • Assignments
  • CS 3410 Computer System Organization and Programming Cornell University Assignments Lecture NotesReadings
    • CS3410 provides an introduction to computer organization, systems programming and the hardware/software interface. Topics include instruction sets, computer arithmetic, datapath design, data formats, addressing modes, memory hierarchies including caches and virtual memory, I/O devices, bus-based I/O systems, and multicore architectures. Students learn assembly language programming and design a pipelined RISC processor.
    • Lectures
    • Assignments
  • CS 4410 Operating Systems Cornell University Lecture NotesReadings
    • CS 4410 covers systems programming and introductory operating system design and implementation. We will cover the basics of operating systems, namely structure, concurrency, scheduling, synchronization, memory management, filesystems, security and networking. The course is open to any undergraduate who has mastered the material in CS3410/ECE3140.
    • Syllabus
    • Lectures
  • CS 4414 Operating Systems University of Virginia Lecture Videos Assignments
    • A course (that) covers topics including: Analysis process communication and synchronization; resource management; virtual memory management algorithms; file systems; and networking and distributed systems. The primary goal of this course is to improve your ability to build scalable, robust and secure computing systems. It focuses on doing that by understanding what underlies the core abstractions of modern computer systems.
    • Syllabus
    • Lectures
  • CS 5412 Cloud Computing Cornell University Lecture Notes Readings
    • Taught by one of the stalwarts of this field, Prof Ken Birman, this course has a fantastic set of slides that one can go through. The Prof's book is also a gem and recommended as a must read in Google's tutorial on Distributed System Design
    • Slides
  • CSCE 3613 Operating Systems University of Arkansas (Fayetteville) Assignments Lecture NotesReadings - An introduction to operating systems including topics in system structures, process management, storage management, files, distributed systems, and case studies.
  • CSCI-UA.0202: Operating Systems (Undergrad) Operating Systems NYU Assignments Lecture Notes Readings
    • NYU's operating system course. It's a fundamental course focusing basic ideas of operating systems, including memory management, process shceduling, file system, ect. It also includes some recomended reading materials. What's more, there are a series of hands-on lab materials, helping you easily understand OS.
    • Assignments
    • Lectures
    • Old Exams
  • CSCI 360 Computer Architecture 3 CUNY Hunter College Assignments Lecture Notes
    • A course that covers cache design, buses, memory hierarchies, processor-peripheral interfaces, and multiprocessors, including GPUs.
  • CSCI 493.66 UNIX System Programming (formerly UNIX Tools) CUNY Hunter College Assignments Lecture Notes
    • A course that is mostly about writing programs against the UNIX API, covering all of the basic parts of the kernel interface and libraries, including files, processes, terminal control, signals, and threading.
  • CSCI 493.75 Parallel Computing CUNY Hunter College Assignments Lecture Notes
    • The course is an introduction to parallel algorithms and parallel programming in C and C++, using the Message Passing Interface (MPI) and the OpenMP application programming interface. It also includes a brief introduction to parallel architectures and interconnection networks. It is both theoretical and practical, including material on design methodology, performance analysis, and mathematical concepts, as well as details on programming using MPI and OpenMP.
  • Hack the Kernel Introduction to Operating Systems SUNY University at Buffalo, NY Lecture Videos Assignments Lecture Notes
    • This course is an introduction to operating system design and implementation. We study operating systems because they are examples of mature and elegant solutions to a difficult design problem: how to safely and efficiently share system resources and provide abstractions useful to applications.
    • For the processor, memory, and disks, we discuss how the operating system allocates each resource and explore the design and implementation of related abstractions. We also establish techniques for testing and improving system performance and introduce the idea of hardware virtualization. Programming assignments provide hands-on experience with implementing core operating system components in a realistic development environment. Course by Dr.Geoffrey Challen
    • Syllabus
    • Slides
    • Video lectures
    • Assignments
    • Old Exams
  • ECE 459 Programming for Performance University of Waterloo Lecture Notes Assignments
    • Learn techniques for profiling, rearchitecting, and implementing software systems that can handle industrial-sized inputs, and to design and build critical software infrastructure. Learn performance optimization through parallelization, multithreading, async I/O, vectorization and GPU programming, and distributed computing.
    • Lecture slides
  • PODC Principles of Distributed Computing ETH-Zurich Assignments Readings Lecture Notes
    • Explore essential algorithmic ideas and lower bound techniques, basically the "pearls" of distributed computing in an easy-to-read set of lecture notes, combined with complete exercises and solutions.
    • Book
    • Assignments and Solutions
  • SPAC Parallelism and Concurrency Univ of Washington Readings
    • Technically not a course nevertheless an awesome collection of materials used by Prof Dan Grossman to teach parallelism and concurrency concepts to sophomores at UWash
  • 6.824 Distributed Systems MIT Assignments Lecture Notes
    • MIT's graduate-level DS course with a focus on fault tolerance, replication, and consistency, all taught via awesome lab assignments in Golang!
    • Assignments - Just do git clone git://g.csail.mit.edu/6.824-golabs-2014 6.824
    • Readings
  • 6.828 Operating Systems MIT Assignments Lecture Notes
    • MIT's operating systems course focusing on the fundamentals of OS design including booting, memory management, environments, file systems, multitasking, and more. In a series of lab assignments, you will build JOS, an OS exokernel written in C.
    • Assignments
    • Lectures
    • Videos Note: These are student recorded cam videos of the 2011 course. The videos explain a lot of concepts required for the labs and assignments.
  • CSEP 552 Distributed Systems University of Washington Lecture Videos Assignments Lecture Notes
    • CSEP552 is a graduate course on distributed systems. Distributed systems have become central to many aspects of how computers are used, from web applications to e-commerce to content distribution. This course will cover abstractions and implementation techniques for the construction of distributed systems, including client server computing, the web, cloud computing, peer-to-peer systems, and distributed storage systems. Topics will include remote procedure call, maintaining consistency of distributed state, fault tolerance, high availability, and other topics. As we believe the best way to learn the material is to build it, there will be a series of hands-on programming projects.
    • Lectures of a previous session are available to watch.
  • 15-213 Introduction to Computer Systems (ICS) Carnegie-Mellon University Lecture Videos Assignments Lecture Notes
    • The ICS course provides a programmer's view of how computer systems execute programs, store information, and communicate. It enables students to become more effective programmers, especially in dealing with issues of performance, portability and robustness. It also serves as a foundation for courses on compilers, networks, operating systems, and computer architecture, where a deeper understanding of systems-level issues is required. Topics covered include: machine-level code and its generation by optimizing compilers, performance evaluation and optimization, computer arithmetic, memory organization and management, networking technology and protocols, and supporting concurrent computation.
    • This is the must-have course for everyone in CMU who wants to learn some computer science no matter what major are you in. Because it's CMU (The course number is as same as the zip code of CMU)!
    • Lecture Notes
    • Videos
    • Assignments
  • 15-418 Parallel Computer Architecture and Programming Carnegie-Mellon University Lecture Videos Assignments Lecture Notes Readings
    • The goal of this course is to provide a deep understanding of the fundamental principles and engineering trade-offs involved in designing modern parallel computing systems as well as to teach parallel programming techniques necessary to effectively utilize these machines. Because writing good parallel programs requires an understanding of key machine performance characteristics, this course will cover both parallel hardware and software design.
    • Assignments
    • Lecture Notes
    • Lecture Videos
    • Readings
  • 15-440 Distributed Systems Carnegie-Mellon University Assignments Lecture Notes
    • Introduction to distributed systems with a focus on teaching concepts via projects implemented in the Go programming language.
    • Assignments
  • 15-721 Database Systems Carnegie-Mellon University Lecture Videos Assignments Readings
    • This course is a comprehensive study of the internals of modern database management systems. It will cover the core concepts and fundamentals of the components that are used in both high-performance transaction processing systems (OLTP) and large-scale analytical systems (OLAP). The class will stress both efficiency and correctness of the implementation of these ideas. All class projects will be in the context of a real in-memory, multi-core database system. The course is appropriate for graduate students in software systems and for advanced undergraduates with strong systems programming skills.
    • Assignments
    • Lecture Videos
    • Readings
  • 15-749 Engineering Distributed Systems Carnegie-Mellon University Readings
    • A project focused course on Distributed Systems with an awesome list of readings
    • Readings
  • 18-447 Introduction to Computer Architecture CMU Lecture Videos Assignments Readings
    • Very comprehensive material on Computer Architecture - definitely more than just "introduction". Online material is very user-friendly, even the recitation videos available online. This is the Spring'15 version by Prof. Onur Mutlu
    • Lectures and Recitation
    • Homeworks 7 HWs with answer set as well
    • Readings

Programming Languages / Compilers

  • CS 75 Principles of Compiler Design Swathmore College Lecture Videos Assignments Lecture Notes
  • CS 91 Introduction to Programming Languages Swathmore College Lecture Notes Assignments
    • Uses the Pyret programming language & PAPL book to understand the fundamentals of programming languages.
    • Labs
  • CIS 194 Introduction to Haskell Penn Engineering Assignments Lecture Notes
    • Explore the joys of functional programming, using Haskell as a vehicle. The aim of the course will be to allow you to use Haskell to easily and conveniently write practical programs.
    • Previous semester also available, with more exercises
  • CIS 198 Rust Programming UPenn Lecture Notes Assignments
    • This course covers what makes Rust so unique and applies it to practical systems programming problems. Topics covered include traits and generics; memory safety (move semantics, borrowing, and lifetimes); Rust’s rich macro system; closures; and concurrency.
    • Assignments
  • Clojure Functional Programming with Clojure University of Helsinki Assignments
    • The course is an introduction to functional programming with a dynamically typed language Clojure. We start with an introduction to Clojure; its syntax and development environment. Clojure has a good selection of data structures and we cover most of them. We also go through the basics of recursion and higher-order functions. The course material is in English.
    • Github Page
  • CMSC 430 Introduction to Compilers Univ of Maryland Assignments Lecture Notes
    • The goal of CMSC 430 is to arm students with the ability to design, implement, and extend a programming language. Throughout the course, students will design and implement several related languages, and will explore parsing, syntax querying, dataflow analysis, compilation to bytecode, type systems, and language interoperation.
    • Lecture Notes
    • Assignments
  • COS 326 Functional Programming Princeton University Assignments Lecture Notes
    • Covers functional programming concepts like closures, tail-call recursion & parallelism using the OCaml programming language
    • Lectures
    • Assignments
  • CS 143 Compiler construction Stanford University Lecture NotesAssignments
  • CS 164 Hack your language! UC Berkeley Lecture Videos Assignments Lecture Notes
  • CS 173 Programming Languages Brown University Lecture Videos Assignments
    • Course by Prof. Krishnamurthi (author of HtDP) and numerous other awesome books on programming languages. Uses a custom designed Pyret programming language to teach the concepts. There was an online class hosted in 2012, which includes all lecture videos for you to enjoy.
    • Videos
    • Assignments
  • CS 223 Purely Functional Data Structures In Elm University of Chicago Assignments Lecture Notes
    • This course teaches functional reactive programming and purely functional data structures based on Chris Okazaki's book and using the Elm programming language.
    • Lectures
    • Assignments
  • CS 240h Functional Systems in Haskell Stanford University Assignments Lecture Notes
  • CS 421 Programming Languages and Compilers Univ of Illinois, Urbana-Champaign Lecture Videos Assignments Lecture Notes Course that uses OCaml to teach functional programming and programming language design.
  • CS 3110 Data Structures and Functional Programming Cornell University Assignments Lecture Notes
    • Another course that uses OCaml to teach alternative programming paradigms, especially functional and concurrent programming.
    • Lecture Slides
    • Assignments
  • CS 4120 Introduction to Compilers Cornell University Assignments Lecture NotesReadings
    • An introduction to the specification and implementation of modern compilers. Topics covered include lexical scanning, parsing, type checking, code generation and translation, an introduction to optimization, and compile-time and run-time support for modern programming languages. As part of the course, students build a working compiler for an object-oriented language.
    • Syllabus
    • Lectures
    • Assignments
  • CS 4400 Programming Languages Northeastern University Assignments Lecture Notes Readings
    • This is a course on the study, design, and implementation of programming languages.
    • The course works at two simultaneous levels: first, we will use a programming language that can demonstrate a wide variety of programming paradigms. Second, using this language, we will learn about the mechanics behind programming languages by implementing our own language(s). The two level approach usually means that we will often see how to use a certain feature, and continue by implementing it.
    • Syllabus
    • Lecture Notes/Resources
  • CS 4610 Programming Languages and Compilers University of Virginia Assignments Lecture Notes
    • Course that uses OCaml to teach functional programming and programming language design. Each assignment is a part of an interpreter and compiler for an object-oriented language similar to Java, and you are required to use a different language for each assignment (i.e., choose 4 from Python, JS, OCaml, Haskell, Ruby).
    • Lecture Notes
    • Assignments
  • CS 5114 Network Programming Languages Cornell University Lecture NotesReadings
    • This course provides an introduction to the languages used to program computer networks. It will examine recent proposals based on logic, functional, and distributed languages, as well as tools for establishing correctness using automatic solvers, model checkers, and proof assistants.
    • Syllabus
    • Lectures
  • CS 5142 Scripting Languages Cornell University Lecture NotesAssignments
    • Perl, PHP, JavaScript, VisualBasic -- they are often-requested skills for employment, but most of us do not have the time to find out what they are all about. In this course, you learn how to use scripting languages for rapid prototyping, web programming, data processing, and application extension. Besides covering traditional programming languages concepts as they apply to scripting (e.g., dynamic typing and scoping), this course looks at new concepts rarely found in traditional languages (e.g., string interpolation, hashes, and polylingual code). Through a series of small projects, you use different languages to achieve programming tasks that highlight the strengths and weaknesses of scripting. As a side effect, you practice teaching yourself new languages.
    • Syllabus
    • Lectures
    • Assignments
  • CS 5470 Compilers University of Utah Assignments Lecture Notes Readings
    • If you're a fan of Prof Matt's writing on his fantastic blog you ought to give this a shot. The course covers the design and implementation of compilers, and it explores related topics such as interpreters, virtual machines and runtime systems. Aside from the Prof's witty take on cheating the page has tons of interesting links on programming languages, parsing and compilers.
    • Lecture Notes
    • Projects
  • CS 6118 Types and Semantics Cornell University Lecture NotesReadings
    • Types and Semantics is about designing and understand programming languages, whether they be domain specific or general purpose. The goal of this class is to provide a variety of tools for designing custom (programming) languages for whatever task is at hand. Part of that will be a variety of insights on how languages work along with experiences from working with academics and industry on creating new languages such as Ceylon and Kotlin. The class focuses on types and semantics and the interplay between them. This means category theory and constructive type theory (e.g. Coq and richer variations) are ancillary topics of the class. The class also covers unconventional semantic domains such as classical linear type theory in order to both break students from convential thinking and to provide powerful targets capable of formalizing thinks like networking protocols, resource-sensitive computation, and concurrency constructs. The class project is to design and formalize a (programming) language for a purpose of the student's choosing, and assignments are designed to ensure students have had a chance to practice applying the techniques learned in class before culminating these skills in the class project.
    • Syllabus
    • Lectures
  • CSC 253 CPython internals: A ten-hour codewalk through the Python interpreter source code University of Rochester Lecture VideosReadings
    • Nine lectures walking through the internals of CPython, the canonical Python interpreter implemented in C. They were from the Dynamic Languages and Software Development course taught in Fall 2014 at the University of Rochester.
  • CSE 341 Programming Languages University of Washington Lecture Videos Assignments Lecture Notes
  • CSE P 501 Compiler Construction University of Washington Lecture Videos Assignments
    • Teaches understanding of how a modern compiler is structured and the major algorithms that are used to translate code from high-level to machine language. The best way to do this is to actually build a working compiler, so there will be a significant project to implement one that translates programs written in a core subset of Java into executable x86 assembly language. The compilers themselves will use scanner and parser generator tools and the default implementation language is Java.
    • Lectures
    • Assignments, Tests, and Solutions
  • DMFP Discrete Mathematics and Functional Programming Wheaton College Lecture Videos Assignments
  • PCPP Practical Concurrent and Parallel Programming IT University of Copenhagen Lecture NotesAssignmentsReadings
    • In this MSc course you learn how to write correct and efficient concurrent and parallel software, primarily using Java, on standard shared-memory multicore hardware.
    • The course covers basic mechanisms such as threads, locks and shared memory as well as more advanced mechanisms such as parallel streams for bulk data, transactional memory, message passing, and lock-free data structures with compare-and-swap.
    • It covers concepts such as atomicity, safety, liveness and deadlock.
    • It covers how to measure and understand performance and scalability of parallel programs.
    • It covers tools and methods to find bugs in concurrent programs.
  • 6.945 Adventures in Advanced Symbolic Programming MIT Lecture NotesAssignmentsReadings
    • Taught by Gerald Sussman of SICP fame, this class deals with concepts and techniques for the design an implementation of large software systems that can be adapted to uses not anticipated by the designer. Applications include compilers, computer-algebra systems, deductive systems, and some artificial intelligence applications.
    • Assignments: Extensive programming assignments, using MIT/GNU Scheme. Students should have significant programming experience in Scheme, Common Lisp, Haskell, CAML or other "functional" language.
    • Readings
  • CS 696 Functional Design and Programming San Diego State University Lecture NotesAssignmentsReadings
    • Covers functional programming basis using Clojure.
    • Topics include testing, functional programming, immutable collections and concurrency.
    • Also includes assignments covering Clojurescript, [Reagent](Reagent Github) etc.
  • L28 Advanced Functional Programming University of Cambridge Lecture NotesAssignmentsReadings
    • This module aims to teach students how to use the features of modern typed functional programming languages (e.g. OCaml, Haskell) to design and implement libraries and DSLs. It aims to demonstrate how such techniques can improve both correctness and efficiency. Students wishing to take the module should have some experience of a typed functional programming language and an understanding of type inference.
    • This particular session was taught by a prominent OCaml programmer, open Source contributor & author of real world OCaml - Dr Anil Madhavapeddy.

Algorithms

  • CS 61B Data Structures UC Berkeley Lecture Videos Assignments Lecture Notes Readings
    • In this course, you will study advanced programming techniques including data structures, encapsulation, abstract data types, interfaces, and algorithms for sorting and searching, and you will get a taste of “software engineering”—the design and implementation of large programs.
    • Full Lecture Materials Lecture of Spring 2016. This website contains full matrials including video links, labs, homeworks, projects. Very good for self-learner. Also a good start for Java. And it includes some other usefull resources for Java Documentation, Data Structure Resources, Git/GitHub and J