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ECE 3140 / CS 3420
CS 4780 - MACHINE LEARNING - UNOFFICIAL CORNELL CS WIKISEE MORE ON CORNELLCSWIKI.GITLAB.IOCS 4210 / MATH 4250
CS 2026 - INTRODUCTION TO C SHARP - UNOFFICIAL CORNELL CS WIKI CS 2026 - Introduction to C Sharp General Information. A four-week, S/U exclusive introduction to C#. Prerequisites Topics Covered Workload General Advice CS 2043 - UNIX TOOLS AND SCRIPTING - UNOFFICIAL CORNELL CS CS 2043 - UNIX Tools and Scripting General Information. Introductory class on UNIX and scripting. The entire class is only six weeks long, and you must take it as S/U. CS 2111 - JAVA PRACTICUM - UNOFFICIAL CORNELL CS WIKI CS 2111 - Java Practicum General Information. Currently taught by Gries. That’s reason enough to stay away in my opinion. If you’re totally new to Java and have no real OOP background this class couldbe
CS 4320 - INTRODUCTION TO DATABASE SYSTEMS - UNOFFICIALSEE MORE ON CORNELLCSWIKI.GITLAB.IO HOME - UNOFFICIAL CORNELL CS WIKI Welcome to the Unofficial Cornell Computer Science Wiki. The Wiki is currently in conservation mode: all content is being maintained, but we are no longer actively seeking new submissions.If you find any errors or misleading information, please let us know or submit a pull request.If you would like to contribute advice or information on a particular course, we recommend that you submit your CS 4120 - INTRODUCTION TO COMPILERS - UNOFFICIAL CORNELLSEE MORE ON CORNELLCSWIKI.GITLAB.IO CS 2800 - DISCRETE STRUCTURES - UNOFFICIAL CORNELL CS WIKISEE MORE ON CORNELLCSWIKI.GITLAB.IOECE 3140 / CS 3420
CS 4780 - MACHINE LEARNING - UNOFFICIAL CORNELL CS WIKISEE MORE ON CORNELLCSWIKI.GITLAB.IOCS 4210 / MATH 4250
CS 2026 - INTRODUCTION TO C SHARP - UNOFFICIAL CORNELL CS WIKI CS 2026 - Introduction to C Sharp General Information. A four-week, S/U exclusive introduction to C#. Prerequisites Topics Covered Workload General Advice CS 2043 - UNIX TOOLS AND SCRIPTING - UNOFFICIAL CORNELL CS CS 2043 - UNIX Tools and Scripting General Information. Introductory class on UNIX and scripting. The entire class is only six weeks long, and you must take it as S/U. CS 2111 - JAVA PRACTICUM - UNOFFICIAL CORNELL CS WIKI CS 2111 - Java Practicum General Information. Currently taught by Gries. That’s reason enough to stay away in my opinion. If you’re totally new to Java and have no real OOP background this class couldbe
CS 4320 - INTRODUCTION TO DATABASE SYSTEMS - UNOFFICIALSEE MORE ON CORNELLCSWIKI.GITLAB.IO CS 2022 - INTRODUCTION TO C - UNOFFICIAL CORNELL CS WIKI Testimonials. I don’t think this class is even offered anymore, but I didn’t really “get” C after taking this class. It’s nice for getting a bit familiar with the syntax, but if you truly want to grokC, take CS 4411.
CS 4780 - MACHINE LEARNING - UNOFFICIAL CORNELL CS WIKI CS 4780 - Machine Learning General Information. Machine learning is basically a shift from the classical idea of “let’s have computers act like a human” to “let’s SOMETIMES REQUIRED MATH CLASSES Prerequisites. There are three common sequences of classes to take: Engineers: MATH 1110 - MATH 1910 - MATH 1920 - MATH 2940. “Regular”: MATH 1110 - MATH 1120/1220 - MATH 2210 - MATH 2220. Theoretical: MATH 1110 - MATH 1120/1220 - MATH 2230 - MATH 2240. You can mix and match classes as long as they do not overlap - for example, you can take CS 4410 - OPERATING SYSTEMS - UNOFFICIAL CORNELL CS WIKI The 4th one is probably by far the largest project you’ll ever see in Cornell CS outside of Compilers/OS Prac. It seems that the rigor of the projects may be changing. As of Fall 2013, Project 4 was less than 10 hours of work. No project took more than ~15 hours. ^^ This makes no sense because the projects haven’t changed in years. CS 4320 - INTRODUCTION TO DATABASE SYSTEMS - UNOFFICIAL It is very easy to miss material and then struggle to catch up. Random things about the class FA 13: The majority of students are grad students. The mean on the prelim was a 79%, and on the final was a 65%. The lectures are posted on CMS. The textbook is very helpful if you can put in the time to read it.CS 4786/5786
CS 4786/5786 - Machine Learning for Data Science General Information. An introductory course in machine learning, with a focus on data modeling and related methods and learning algorithms for CS 2042 - UNIX TOOLS - UNOFFICIAL CORNELL CS WIKI Testimonials. I don’t think this class is even offered anymore, but I didn’t really “get” Unix Tools after taking this class. It’s nice for getting a bit familiar with some of the available commands, but if you truly want to grok Unix, just force yourself to use the terminal for everything. CS 6840 - ALGORITHMIC GAME THEORY - UNOFFICIAL CORNELL CS WIKI CS 6840 - Algorithmic Game Theory General Information. Algorithmic Game Theory is basically what happens when CS people get involved ineconomics.
CS 4670 - INTRODUCTION TO COMPUTER VISION - UNOFFICIAL CS 4670 is very similar to the CV course at the University of Washington, taught by Steve Seitz. Some projects use the same sample images and many of the presentations share similar slides. You won’t find already implemented projects/solutions but it is worth noting theclass curriculum is
CS 4620 - INTRODUCTION TO COMPUTER GRAPHICS - UNOFFICIAL CS 2110 - Object-Oriented Programming and Data Structures. Basic Knowledge of Vector / Matrix math. 4620 requires solid linear algebra, but it’s okay to take it concurrently with 2940 if you have to. It is somewhat less work than CS 3110 - Data Structures and FunctionalProgramming.
HOME - UNOFFICIAL CORNELL CS WIKICORNELL CS 2800CORNELL CS 4820WIKI CORNELL UNIVERSITYCS 2800CS 4820 Welcome to the Unofficial Cornell Computer Science Wiki. The Wiki is currently in conservation mode: all content is being maintained, but we are no longer actively seeking new submissions.If you find any errors or misleading information, please let us know or submit a pull request.If you would like to contribute advice or information on a particular course, we recommend that you submit your CS 2800 - DISCRETE STRUCTURES - UNOFFICIAL CORNELL CS WIKISEE MORE ON CORNELLCSWIKI.GITLAB.IO CS 4120 - INTRODUCTION TO COMPILERS - UNOFFICIAL CORNELLSEE MORE ON CORNELLCSWIKI.GITLAB.IOECE 3140 / CS 3420
CS 1110 - INTRODUCTION TO COMPUTING USING PYTHONSEE MORE ON CORNELLCSWIKI.GITLAB.IO CS 3410 - COMPUTER SYSTEM ORGANIZATION AND PROGRAMMINGSEE MORE ON CORNELLCSWIKI.GITLAB.IOINFO/CS 2300
CS 2111 - JAVA PRACTICUM - UNOFFICIAL CORNELL CS WIKI CS 2111 - Java Practicum General Information. Currently taught by Gries. That’s reason enough to stay away in my opinion. If you’re totally new to Java and have no real OOP background this class couldbe
CS 1610 - COMPUTING IN THE ARTS - UNOFFICIAL CORNELL CS WIKI CS 1610 - Computing in the Arts General Information. This course fills ENGRI or a Liberal Studies requirement. Throughout the semester it is a grab bag of topics somehow related to both computing and some formof art.
CS 5430 - SYSTEM SECURITY - UNOFFICIAL CORNELL CS WIKISEE MORE ON CORNELLCSWIKI.GITLAB.IO HOME - UNOFFICIAL CORNELL CS WIKICORNELL CS 2800CORNELL CS 4820WIKI CORNELL UNIVERSITYCS 2800CS 4820 Welcome to the Unofficial Cornell Computer Science Wiki. The Wiki is currently in conservation mode: all content is being maintained, but we are no longer actively seeking new submissions.If you find any errors or misleading information, please let us know or submit a pull request.If you would like to contribute advice or information on a particular course, we recommend that you submit your CS 2800 - DISCRETE STRUCTURES - UNOFFICIAL CORNELL CS WIKISEE MORE ON CORNELLCSWIKI.GITLAB.IO CS 4120 - INTRODUCTION TO COMPILERS - UNOFFICIAL CORNELLSEE MORE ON CORNELLCSWIKI.GITLAB.IOECE 3140 / CS 3420
CS 1110 - INTRODUCTION TO COMPUTING USING PYTHONSEE MORE ON CORNELLCSWIKI.GITLAB.IO CS 3410 - COMPUTER SYSTEM ORGANIZATION AND PROGRAMMINGSEE MORE ON CORNELLCSWIKI.GITLAB.IOINFO/CS 2300
CS 2111 - JAVA PRACTICUM - UNOFFICIAL CORNELL CS WIKI CS 2111 - Java Practicum General Information. Currently taught by Gries. That’s reason enough to stay away in my opinion. If you’re totally new to Java and have no real OOP background this class couldbe
CS 1610 - COMPUTING IN THE ARTS - UNOFFICIAL CORNELL CS WIKI CS 1610 - Computing in the Arts General Information. This course fills ENGRI or a Liberal Studies requirement. Throughout the semester it is a grab bag of topics somehow related to both computing and some formof art.
CS 5430 - SYSTEM SECURITY - UNOFFICIAL CORNELL CS WIKISEE MORE ON CORNELLCSWIKI.GITLAB.IO CS 4700 - FOUNDATIONS OF ARTIFICIAL INTELLIGENCE The textbook, however, is the classic book by Russell and Norvig; reading that carefully is more than enough to get you through the class. The prelim was easy, and the final was an unending monstrosity worth 200 points. The homeworks were rather long, but there were only four. They were also assigned at random times – the delay between SOMETIMES REQUIRED MATH CLASSES Prerequisites. There are three common sequences of classes to take: Engineers: MATH 1110 - MATH 1910 - MATH 1920 - MATH 2940. “Regular”: MATH 1110 - MATH 1120/1220 - MATH 2210 - MATH 2220. Theoretical: MATH 1110 - MATH 1120/1220 - MATH 2230 - MATH 2240. You can mix and match classes as long as they do not overlap - for example, you can take CS 2026 - INTRODUCTION TO C SHARP - UNOFFICIAL CORNELL CS WIKI CS 2026 - Introduction to C Sharp General Information. A four-week, S/U exclusive introduction to C#. Prerequisites Topics Covered Workload General Advice CS 4320 - INTRODUCTION TO DATABASE SYSTEMS - UNOFFICIAL It is very easy to miss material and then struggle to catch up. Random things about the class FA 13: The majority of students are grad students. The mean on the prelim was a 79%, and on the final was a 65%. The lectures are posted on CMS. The textbook is very helpful if you can put in the time to read it. CS 2110 - OBJECT-ORIENTED PROGRAMMING AND DATA STRUCTURES You could coast through this class with almost no effort, and get barely anything out of it. Or, as you learn about the various data structures, take the extra effort and implement them yourself. The course material is a source of many interview questions for internships, and having an intimate (and mostly self-learned) knowledge of it can beCS 4210 / MATH 4250
CS 4210 / MATH 4250 - Numerical Analysis and Differential Equations General Information Prerequisites. Linear Algebra (Math 2940, you don’t know how to multiply matrices, you’ll definite need to take 2940) and some Matlab experience (don’t worry if you don’t though) CS 4670 - INTRODUCTION TO COMPUTER VISION - UNOFFICIAL CS 4670 is very similar to the CV course at the University of Washington, taught by Steve Seitz. Some projects use the same sample images and many of the presentations share similar slides. You won’t find already implemented projects/solutions but it is worth noting theclass curriculum is
CS 1610 - COMPUTING IN THE ARTS - UNOFFICIAL CORNELL CS WIKI CS 1610 - Computing in the Arts General Information. This course fills ENGRI or a Liberal Studies requirement. Throughout the semester it is a grab bag of topics somehow related to both computing and some formof art.
CS 4410 - OPERATING SYSTEMS - UNOFFICIAL CORNELL CS WIKI The 4th one is probably by far the largest project you’ll ever see in Cornell CS outside of Compilers/OS Prac. It seems that the rigor of the projects may be changing. As of Fall 2013, Project 4 was less than 10 hours of work. No project took more than ~15 hours. ^^ This makes no sense because the projects haven’t changed in years. CS 2042 - UNIX TOOLS - UNOFFICIAL CORNELL CS WIKI Testimonials. I don’t think this class is even offered anymore, but I didn’t really “get” Unix Tools after taking this class. It’s nice for getting a bit familiar with some of the available commands, but if you truly want to grok Unix, just force yourself to use the terminal for everything. Unofficial Cornell CS Wiki WELCOME TO THE UNOFFICIAL CORNELL COMPUTER SCIENCE WIKI Want to add your thoughts? See a class that needs info? Contribute to this wiki! This is not limited to only coursework. Contribute any resources or additional pages you think anyone may find useful! If a page does not exist for a class you have taken, please do us all a favor and make one! > This site is hosted on GitLAB, but the source is on GitHUB. GitLab > offers much better hosting (in particular, allowing custom plugins), > but GitHub is better known in open source. Don’t mix up the URLs! * Welcome to the Unofficial Cornell Computer Science Wiki* Handy Links
* CS Community Pages * The CS Major/Minor* CS Classes
* 1000
* 2000
* 3000
* 4000
* 5000
* 6000
* CS-Related Classes* InfoSci
* ORIE
* ECE
* Math
* Other
* Clubs and Project Teams* Hackathons
* Getting Involved in CS/Open Source* Career Advice
HANDY LINKS
* FAQ —Answers to some of the most commonly askedquestions
* Practice & Challenges —How to improveyour CS skills
* I’m struggling in CS/I don’t know if CS is right forme—Never fear
* About this wiki
* Contributing Guide and List of Contributors * ACSU Readme —An intro to the major for prefrosh/underclassmen, by ACSUCS COMMUNITY PAGES
* Cornell CS Facebook Group —Q&A, interesting links,and discussion
* Cornell CS Polls
—For fun or for surveys* ACSU Website
* OpenSourceCornell
—Some of whose members now maintain this wiki (and you can, too !) * ISSA —Information ScienceStudent Association
* URMC
—Under-Represented Minorities in Computing * WICC —Women in Computing at Cornell * ACSU Facebook Page* Awesome Cornell
—Awesome (open
source!) projects by your fellow Cornellians * Your CS Career 2014THE CS MAJOR/MINOR
* Starting Out
* Graduation Requirements* Choosing a Vector
* Choosing a PracticumCS CLASSES
* What Do I Take Next? * I’m an incoming freshman * I’m an incoming transfer * I’m new to the major * I’m thinking about a minor * I’m thinking about the game design minor1000
* CS 1110—Introduction to Computing Using Python * CS 1112—Introduction to Computing Using MATLAB * CS 1114—Introduction to Computing Using MATLAB and Robotics * CS 1115—Introduction to Computational Science and Engineering Using MATLAB Graphical User Iterfaces * CS 1132—Transition to MATLAB * CS 1133—Transition to Python * INFO/CS 1300—Introductory Design and Programming for the Web * CS 1610—Computing in the Arts * CS 1620—Visual Imaging in the Electronic Age * CS 1710—Introduction to Cognitive Science * CS 1810—Topics in the Analysis and Transmission of Knowledge andInformation
* CS 1830—Voting: Does Democracy Have a Voice?2000
* CS 2022—Introduction to C * CS 2024—C++ Programming * CS 2026—Introduction to C Sharp * CS 2042—UNIX Tools * CS 2043—UNIX Tools and Scripting * CS 2044—Advanced UNIX Programming and Tools * CS 2048—Introduction to iPhone App Development * CS 2110—Object-Oriented Programming and Data Structures * CS 2111—Java Practicum * CS 2112—Object-Oriented Programming and Data Structures - Honors * CS 2300—Intermediate Design and Programming for the Web * CS 2800—Discrete Structures * CS 2802—Discrete Structures - Honors * CS 2850—Networks3000
* CS 3110—Data Structures and Functional Programming * CS 3152—Introduction to Computer Game Architecture * CS 3300—Data-Driven Web Applications * CS 3410—Computer System Organization and Programming * CS 3420—Embedded Systems * CS 3740—Computational Linguistics * CS 3758—Autonomous Mobile Robots4000
* CS 4110—Programming Languages and Logics * CS 4120—Introduction to Compilers * CS 4121—Practicum in Compilers * CS 4152—Advanced Topics in Computer Game Architecture * CS 4154—Analytics-Driven Game Design * CS 4160-Formal Verification * CS 4210—Numerical Analysis and Differential Equations * CS 4220—Numerical Analysis: Linear and Nonlinear Problems * CS 4300—Information Retrieval * CS 4302—Web Information Systems * CS 4320—Introduction to Database Systems * CS 4321—Practicum in Database Systems * CS 4410—Operating Systems * CS 4411—Practicum in Operating Systems * CS 4420—Computer Architecture * CS 4620—Introduction to Computer Graphics * CS 4621—Computer Graphics Practicum * CS 4670—Introduction to Computer Vision * CS 4700—Foundations of Artificial Intelligence * CS 4701—Practicum in Artificial Intelligence * CS 4740—Introduction to Natural Language Processing * CS 4750—Foundations of Robotics * CS 4758—Robot Learning * CS 4775—Computational Genetics and Genomics * CS 4780—Machine Learning * CS 4786—Machine Learning for Data Science * CS 4810—Introduction to Theory of Computing * CS 4812—Quantum Information Processing * CS 4820—Introduction to Algorithms * CS 4830—Introduction to Cryptography * CS 4850—Mathematical Foundations for the Information Age * CS 4852—Networks II * CS 4860—Applied Logic5000
* CS 5114—Network Programming Languages * CS 5150—Software Engineering * CS 5152 - Open Source Software Engineering * CS 5220—Applications of Parallel Computers * CS 5300—The Architecture of Large - Scale Information Systems * CS 5412—Cloud Computing * CS 5414—Distributed Computing Principles * CS 5430—System Security * CS 5432—Physical Computing * CS 5434—Defending Computer Networks * CS 5540—Computational Techniques for Analyzing Clinical Data * CS 5625—Interactive Computer Graphics * CS 5643—Physically Based Animation for Computer Graphics * CS 5724—Evolutionary Computation * CS 5786—Machine Learning for Data Science * CS 5846—Decision Theory I6000
* CS 6110—Advanced Programming Languages * CS 6114—Network Programming Languages * CS 6117—Category Theory for Computer Scientists * CS 6210—Matrix Computations * CS 6320—Advanced Database Systems * CS 6360—Educational Technology * CS 6410—Advanced Systems * CS 6452—Datacenter and Network Services * CS 6630—Realistic Image Synthesis * CS 6640—Computational Photography * CS 6650—Computational Motion * CS 6700—Advanced Artificial Intelligence * CS 6766—Reasoning about Uncertainty * CS 6780—Advanced Machine Learning * CS 6810—Theory of Computing * CS 6820—Analysis of Algorithms * CS 6825—The Science Base for the Information Age * CS 6830—Cryptography * CS 6840—Algorithmic Game Theory * CS 6850—The Structure of Information NetworksCS-RELATED CLASSES
INFOSCI
* INFO 1200
—Information
Ethics, Law, and Policy* INFO 2450
—Communication
and Technology
* INFO 2950
—Introduction
to Data Science
* INFO 3200
—New
Media and Society
* INFO 3300 —Data Driven Web Applications (crosslisted as CS 3300)* INFO 4240
—Designing
Technology for Social Impact* INFO 4320
—Introduction
to Rapid Prototyping and Physical Computing* INFO 4430
—Teams
and Technology
ORIE
* ORIE 4740-Statistical Data Mining * ORIE 4741-Learning with Big Messy Data * ORIE 4742-Information Theory, Probabilistic Modeling, & Deep Learning with Scientific & Financial ApplicationsECE
* ECE 2300-Digital Logic and Computer Organization (sometimes taken with CS 3420 as an alternative to CS 3410)
* ECE 2400-Computer Systems ProgrammingMATH
* Required to affliate - MATH 1110/1120/1220/1910/1920 * Classes sometimes required for CS classes- MATH
2210/2220/2230/2240/2310/2930/2940 * MATH 3360—Applicable Algebra * MATH 4240—Wavelets and Fourier Series * MATH 4250 —Numerical Analysis and Differential Equations (crosslisted as CS4210) * MATH 4260 —Numerical Analysis: Linear and Nonlinear Equations (crosslisted as CS4220) * MATH 4410—Introduction to Combinatorics I * MATH 4420—Introduction to Combinatorics II * MATH 4710—Basic Probability * MATH 4720—Statistics * MATH 4810—Mathematical Logic * MATH 4820—Topics in Logic and the Foundations of Mathematics * MATH 4860—Applied Logic (crosslisted as CS4860)OTHER
* BTRY 3080—Probability Models and Inference This is not an exhaustive list. Many areas of mathematics are used in CS somehow, some specific examples being number theory (cryptography), manifolds (optimisation), geometry (linear programming), and linear algebra (numerical methods). CLUBS AND PROJECT TEAMS * Cornell Data Science* CUAppDev
* Cornell Design and Tech Initiative * Cornell CS+Social GoodHACKATHONS
* Big Red Hacks
* Entrepreneurship at Cornell hackathon series GETTING INVOLVED IN CS/OPEN SOURCE * How do I get involved on campus? * How do I get involved in open source?* OpenSourceCornell
CAREER ADVICE
* What sorts of opportunities are available, and how do I find them? * How do I write a résumé? * How can I prepare for career fairs? * How can I prepare for interviews? Edit this page on GitHub: index.mdABOUT THIS SITE
In the olden days of Cornell CS there was a wiki that ACSU maintained. Over the years it deteriorated, and eventually it was migrated to Wikia. Unfortunately, Wikia places ads on the wiki, and the wiki because used even less frequently. Fortunately, Kevin Chavez from OpenSourceCornell had saved the wiki as Markdown, and so the club members decided to migrate it to this site, which you are now reading. This site is _not_ sponsored by or endorsed by Cornell or the Computer Science department at Cornell. It is entirely student-run andstudent-written.
2016 Cornell CS Community · SourceContribute
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