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  • Writing Systems and Networking Articles
    material but it is probably bad form to include a URL pointing to the author s web page for papers published in IEEE and ACM publications given the copyright situation Use it for software and other non library material Avoid long URLs it may be sufficient to point to the general page and let the reader find the material General URLs are also less likely to change Leave a space between first names and last name i e J P Doe not J P Doe References such as John Doe Some paper on something technical report are useless Cite the source date and other identifying information For conference papers you MUST name the conference location month and the full conference name not just some abbreviation Page numbers are nice but optional All of this information is readily available via the IEEE or ACM digital libraries Check if Internet drafts have been published as RFCs or if there s a newer version Having a citation Jane Doe Some random paper to be published 2003 is useless as the paper has presumably been published by now Google or the ACM or IEEE digital libraries will help you find it Acknowledgements Acknowledge your funding sources Some sources have specific wording requirements and may prefer that the grant number is listed The NSF requires text like This work was supported by the National Science Foundation under grant EIA NN NNNNN Generally anonymous reviewers don t get acknowledged unless they really provided an exceptional level of feedback or insight Rather than We thank X for helping us with Y you might vary this as X helped with Y Reporting Numerical Results and Simulations In all but extended abstracts numerical results and simulations should be reported in enough detail that the reader can duplicate the results This should include all parameters used indications of the number of samples that contributed to the analysis and any initial conditions if relevant When presenting simulation results provide insight into the statistical confidence If at all possible provide confidence intervals If there s a strange behavior in the graph e g a dip peak or change in slope this behavior either needs to be explained or reasons must be given why this is simply due to statistical aberration In the latter case gathering more samples is probably advised Figures should be chosen wisely You can never lay out the whole parameter space so provide insight into which parameters are significant over what range and which ones are less important It s not very entertaining to present lots of flat or linear lines The description of the graph should not just repeat the graphically obvious such as the delay rises with the load but explain for example how this increase relates to the load increase Is it linear Does it follow some well known other system behaviors such as standard queueing systems LaTeX Considerations There s no need to enclose numbers in math mode Use cite a b c not cite a cite b cite c Use the usepackage times option for LaTeX2e it comes out much nicer on printers with different resolutions Plus compared to cmr it probably squeezes an extra 10 of text out of your conference allotment Non index or descriptive subscripts are set in roman not italic For example x i x mathit index x mathrm max x mathrm f In the examples above the index i or index is substituted or instantiated by numbers such as x 1 x 2 Multi letter variable names should be surrounded by mathit not as otherwise the spacing will be wrong For uniformity use the LaTeX2e graphics set not the earlier psfigure set usepackage graphics begin figure resizebox 0 5 textheight includegraphics foo eps caption Some figure label fig figure end figure Things to Avoid Too much motivational material Three reasons are enough and they should be described very briefly Describing the obvious parts of the result Obvious is defined as any result that a graduate of our program would suggest as a solution if you pose the problem that the result solves Describing unnecessary details A detail is unnecessary if its omission will not harm the reader s ability to understand the important novel aspects of the result Spelling errors With the availability of spell checkers there is no reason to have spelling errors in a manuscript If you as the author didn t take the time to spell check your paper why should the editor or reviewer take the time to read it or trust that your diligence in technical matters is any higher than your diligence in presentation Note however that spell checkers don t catch all common errors in particular word duplication the the If in doubt consult a dictionary such as the on line Merriam Webster Text in Arial Arial and other sans serif fonts are fine for slides and posters but are harder to read in continuous text Use Times Roman or similar serif fonts Unusual fonts are less likely to be available at the recipient and may cause printing or display problems Guidelines for Experimental Papers Guidelines for Experimental Papers set forth for researchers submitting articles to the journal Machine Learning Papers that introduce a new learning setting or type of application should justify the relevance and importance of this setting for example based on its utility in applications its appropriateness as a model of human or animal learning or its importance in addressing fundamental questions in machine learning Papers describing a new algorithm should be clear precise and written in a way that allows the reader to compare the algorithm to other algorithms For example most learning algorithms can be viewed as optimizing at least approximately some measure of performance A good way to describe a new algorithm is to make this performance measure explicit Another useful way of describing an algorithm is to define the space of hypotheses that it searches when optimizing the performance measure Papers introducing a new algorithm

    Original URL path: http://www.cs.columbia.edu/%7Ehgs/etc/writing-style.html (2016-02-17)
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  • field is being used for creating static contents. --> Department of Computer Science, Columbia University | Courses
    3 55PM COMS W4112 1 73884 Database System Implementation K Ross MW 1 10PM 2 25PM COMS W4115 1 26909 Programming Languages and Translators S Edwards MW 2 40PM 3 55PM COMS W4118 1 64016 Operating Systems I J Lee TR 8 40AM 9 55AM CSEE W4119 1 21826 Computer Networks H Schulzrinne Fr 1 10PM 3 40PM COMS W4121 1 19266 COMPUTER SYSTEMS FOR DATA SCIENCE S Sahu We 6 00PM 8 30PM CSEE W4140 1 24870 Networking Laboratory G Zussman We 10 10AM 11 25AM COMS W4160 1 67061 Computer Graphics M Reed Th 6 10PM 8 00PM COMS W4162 1 25541 Advanced Computer Graphics C Zheng MW 2 40PM 3 55PM COMS W4172 1 72941 3D User Interfaces and Augmented Reality S Feiner TR 1 10PM 2 25PM COMS W4180 1 15784 Network Security D Cook Fr 10 10AM 12 40PM CSOR W4231 69630 Analysis of Algorithms I A Bishop TR 7 10PM 8 25PM COMS W4705 1 67192 Natural Language Processing D Radev Mo 7 00PM 9 30PM COMS W4721 1 73980 Machine Learning for Data Science D Hsu TR 6 10PM 7 25PM HAV 209 CBMF W4761 1 26180 Computational Genomics I Pe er MW 4 10PM 5 25PM COMS W4771 1 22286 Machine Learning S Kale TR 10 10AM 11 25AM COMS W4772 1 29410 Advanced Machine Learning A Lozano Th 12 10PM 2 00PM CSEE W4824 1 27988 Computer Architecture S Sethumadhavan Th 7 00PM 9 30PM CSEE W4840 1 15820 Embedded System Design S Edwards TR 2 40PM 3 55PM COMS W4995 1 17897 Special Topics In Computer Science I LANGUAGE LIBRARY DESIGN C B Stroustrup Fr 10 10AM 12 00PM COMS W4995 2 72905 Special Topics In Computer Science I Topics in Financial Computing E Kursun Fr 4 10PM 6 00PM

    Original URL path: http://www.cs.columbia.edu/education/courses/list?yearterm=20161 (2016-02-17)
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  • field is being used for creating static contents. --> Department of Computer Science, Columbia University | Courses
    15648 Advanced Programming J Lee TR 11 40AM 12 55PM COMS W3203 1 14918 Discrete Mathematics Introduction To Combinatorics and Graph Theory A Salleb Aouissi MW 10 10AM 11 25AM COMS W3261 1 70001 Computer Science Theory A Aho MW 1 10PM 2 25PM CSEE W3827 1 73040 Fundamentals of Computer Systems M Kim TR 10 10AM 11 25AM COMS W3902 88032 Undergraduate Thesis COMS W3998 15944 Undergraduate Projects In Computer Science COMS W4111 62480 Introduction to Databases E Wu MW 2 40PM 3 55PM COMS W4113 1 73248 Fundamentals of Large Scale Distributed Systems R Geambasu MW 8 40AM 9 55AM COMS W4115 1 74382 Programming Languages and Translators S Edwards MW 4 10PM 5 25PM COMS W4118 1 61908 Operating Systems I J Nieh TR 10 10AM 11 25AM CSEE W4119 1 21524 Computer Networks V Misra TR 1 10PM 2 25PM CSEE W4140 1 14933 Networking Laboratory G Zussman We 10 10AM 12 15PM COMS W4156 1 75487 Advanced Software Engineering G Kaiser TR 10 10AM 11 25AM COMS W4167 1 75326 Animation C Zheng TR 4 10PM 5 25PM COMS W4170 1 11639 User Interface Design S Feiner TR 1 10PM 2 25PM COMS W4187 1 16551 Security Architecture and Engineering S Bellovin MW 2 40PM 3 55PM CSOR W4231 77111 Analysis of Algorithms I M Yannakakis TR 11 40AM 12 55PM COMS W4236 1 19871 Introduction To Computational Complexity X Chen TR 7 10PM 8 25PM CSOR W4246 93448 ALGORITHMS FOR DATA SCIENCE E Drinea TR 6 10PM 7 25PM COMS W4252 1 20027 Introduction to Computational Learning Theory R Servedio TR 8 40AM 9 55AM COMS W4261 1 64183 Introduction To Cryptography A Bishop TR 2 40PM 3 55PM EECS E4321 1 67053 VLSI Circuits K Shepard COMS W4444 1 63459 Programming and Problem Solving K Ross MW 1 10PM 2 25PM COMS W4460 1 72247 Principles of Innovation and Entrepreneurship co instructor William Reinisch Y Yemini Fr 1 10PM 3 55PM COMS W4560 1 64701 Introduction to Computer Applications in Health Care and Biomedicine Biomedical Informatics MW 4 10PM 5 25PM COMS W4705 1 92066 Natural Language Processing D Radev Th 4 10PM 6 40PM COMS W4731 1 15415 Computer Vision S Nayar TR 10 10AM 11 25AM COMS W4733 1 24061 Computational Aspects of Robotics P Allen TR 11 40AM 12 55PM COMS W4771 1 29215 Machine Learning T Jebara TR 10 10AM 11 25AM COMS E4772 1 74867 Advanced Machine Learning D Hsu MW 1 10PM 2 25PM CSEE W4823 1 14730 Advanced Logic Design S Nowick TR 2 40PM 3 55PM COMS W4901 11548 Projects In Computer Science CSOR E4995 3 63453 Topics in CS IEOR M Morris We 7 10PM 8 25PM SCEP 415 COMS W4995 1 13019 Special Topics In Computer Science I Topics in Financial Computing E Kursun Fr 4 10PM 6 00PM COMS W4995 2 12005 Special Topics In Computer Science I Internet Tech Econ Policy H Schulzrinne Mo 6 10PM 8 00PM COMS E6111 1

    Original URL path: http://www.cs.columbia.edu/education/courses/list?yearterm=20153 (2016-02-17)
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  • field is being used for creating static contents. --> Department of Computer Science, Columbia University | Courses
    1 10PM 4 00PM IAB 417 COMS W3902 18396 Undergraduate Thesis COMS W3995 1 23331 Special Topics In Computer Science Computers Society S Bellovin MW 2 40PM 3 55PM MUD 633 COMS W3998 22647 Undergraduate Projects In Computer Science BIOL W4031 1 Genetics COMS W4111 1 20641 Introduction to Databases A Biliris Tu 1 10PM 4 00PM MUD 303 COMS W4112 74040 Database System Implementation K Ross Mo 1 10PM 4 00PM FAY 310 COMS W4115 1 69914 Programming Languages and Translators A Aho MW 2 40PM 3 55PM MUD 833 COMS W4118 1 12024 Operating Systems I J Lee Tu 1 10PM 4 00PM PUP 301 CSEE W4119 77416 Computer Networks A Chaintreau We 7 10PM 10 00PM PUP 428 COMS W4121 1 19353 COMPUTER SYSTEMS FOR DATA SCIENCE S Sethumadhavan We 4 10PM 7 00PM MUD 1127 CSEE W4140 1 77047 Networking Laboratory V Gupta We 10 10AM 11 25AM COMS W4160 1 62985 Computer Graphics C Zheng Th 4 10PM 7 00PM MUD 633 COMS W4180 1 29536 Network Security D Cook Th 10 10AM 12 40PM MUD 233 CSOR W4231 68328 Analysis of Algorithms I X Chen Th 7 10PM 10 00PM MUD 1127 COMS W4281 1 16002 Introduction to Quantum Computing A Papageorgiou Tu 4 10PM 7 00PM MUD 535 BIOL W4400 1 Biological Networks COMS W4705 88197 Natural Language Processing D Radev Th 7 10PM 10 00PM NWC 501 COMS W4721 1 78032 Machine Learning for Data Science J Paisley TR 6 10PM 7 25PM SCH 614 COMS W4735 1 60186 Visual Interfaces To Computers J Kender TR 2 40PM 3 55PM MUD 1127 CBMF W4761 1 18596 Computational Genomics I Pe er Mo 4 10PM 7 00PM MUD 535 COMS W4771 1 14518 Machine Learning D Hsu MW 1 10PM 2 25PM NWC 501 COMS E4772 1 75008 Advanced Machine Learning T Jebara MW 1 10PM 2 25PM HAV 309 CSEE W4823 1 26370 Advanced Logic Design S Nowick Tu 4 10PM 7 00PM HAM 702 CSEE W4824 73932 Computer Architecture S Sethumadhavan Mo 1 10PM 4 00PM PUP 329 CSEE W4840 1 72661 Embedded System Design S Edwards TR 2 40PM 3 55PM HAM 602 COMS W4901 25999 Projects In Computer Science COMS W4995 1 29601 Special Topics In Computer Science I Gpu Computing M Reed Th 6 10PM 8 00PM MUD 644 COMS W4995 2 87997 Special Topics In Computer Science I LANGUAGE LIBRARY DESIGN C B Stroustrup Fr 1 10PM 4 00PM MUD 327 COMS E6111 25151 Advanced Database Systems L Gravano Tu 4 10PM 7 01PM HAM 602 COMS E6118 1 69393 Operating Systems II J Nieh Tu 9 00AM 12 00PM MUD 825 COMS E6123 15857 Programming Environments and Software Tools G Kaiser Tu 10 10AM 12 00PM MUD 1024 CSEE E6180 1 20109 Modeling and performance evaluation V Misra Th 9 00AM 12 00PM MUD 825 COMS E6181 1 61100 Advanced Internet Services H Schulzrinne Mo 4 10PM 7 00PM MUD 825 COMS E6185 1 20961 Intrusion

    Original URL path: http://www.cs.columbia.edu/education/courses/list?yearterm=20151 (2016-02-17)
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  • field is being used for creating static contents. --> Department of Computer Science, Columbia University | Courses
    Mathematics Introduction To Combinatorics and Graph Theory D Strickland TR 5 40PM 6 55PM COMS W3251 1 72480 Computational Linear Algebra A Papageorgiou Th 1 10PM 4 00PM COMS W3261 1 61565 Computer Science Theory A Aho MW 1 10PM 2 25PM CSEE W3827 1 70196 Fundamentals of Computer Systems M Kim TR 10 10AM 11 25AM COMS W3902 73451 Undergraduate Thesis COMS W3998 62748 Undergraduate Projects In Computer Science BIOL W4034 1 Biotechnology BIOL W4041 1 Cell Biology COMS W4111 27519 Introduction to Databases A Biliris Tu 1 10PM 3 40PM COMS W4115 22163 Programming Languages and Translators S Edwards MW 4 10PM 5 25PM COMS W4118 76240 Operating Systems I J Nieh Tu 9 00AM 12 00PM CSEE W4119 23795 Computer Networks V Misra Tu 1 10PM 4 00PM CSEE W4140 1 28073 Networking Laboratory G Grebla Th 2 40PM 3 55PM COMS W4156 68576 Advanced Software Engineering G Kaiser TR 10 10AM 11 25AM COMS W4162 1 60624 Advanced Computer Graphics C Zheng We 1 10PM 4 00PM COMS W4167 1 69154 Animation E Grinspun Th 1 10PM 4 00PM COMS W4170 1 27751 User Interface Design S Feiner Tu 1 10PM 4 00PM COMS W4187 11868 Security Architecture and Engineering S Bellovin We 1 10PM 4 00PM CSOR W4231 28745 Analysis of Algorithms I M Yannakakis TR 11 40AM 12 55PM COMS W4236 1 20600 Introduction To Computational Complexity X Chen Th 7 10PM 10 00PM COMS W4241 1 20916 Numerical Algorithms and Complexity J Traub Tu 1 10PM 4 00PM CSOR W4246 77599 ALGORITHMS FOR DATA SCIENCE E Drinea Fr 7 10PM 10 00PM COMS W4252 72540 Introduction to Computational Learning Theory R Servedio MW 1 10PM 2 25PM COMS W4261 61801 Introduction To Cryptography T Malkin Th 4 10PM 7 00PM EECS E4321 1 96696 VLSI Circuits K Shepard EECS E4340 1 60178 Computer Hardware Design S Sethumadhavan Tu 4 10PM 7 00PM COMS W4444 1 24122 Programming and Problem Solving K Ross Mo 1 10PM 4 00PM COMS W4460 1 73439 Principles of Innovation and Entrepreneurship co instructor William Reinisch Y Yemini We 4 10PM 6 40PM COMS W4701 75739 Artificial Intelligence D Radev Th 7 10PM 10 00PM COMS W4705 1 19576 Natural Language Processing M Collins Tu 4 10PM 7 00PM COMS W4731 1 62548 Computer Vision S Nayar TR 10 10AM 11 25AM COMS W4733 1 25157 Computational Aspects of Robotics P Allen Th 4 10PM 7 00PM COMS W4771 1 24384 Machine Learning T Jebara Tu 1 10PM 4 00PM COMS E4772 1 26927 Advanced Machine Learning D Hsu We 4 10PM 6 00PM COMS W4901 87147 Projects In Computer Science COMS W4910 62211 Curricular Practical Training COMS W4995 1 62192 Special Topics In Computer Science I Distributed Sys Fundament R Geambasu We 1 10PM 4 00PM COMS W4995 2 27568 Special Topics In Computer Science I Internet Tech Econ Policy H Schulzrinne Tu 4 10PM 7 00PM COMS W6002 1 FRONTIERS COMPUT JOURNALISM COMS E6121 1 64619 Reliable

    Original URL path: http://www.cs.columbia.edu/education/courses/list?yearterm=20143 (2016-02-17)
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  • field is being used for creating static contents. --> Department of Computer Science, Columbia University | Courses
    W3998 12033 Undergraduate Projects In Computer Science We 2 10PM 4 00PM CSOR E4010 1 70113 Graph Theory Combinatl V M Chudnovsky TR 5 40PM 6 55PM BIOL W4031 1 Genetics COMS W4111 22531 Introduction to Databases A Biliris Tu 1 10PM 3 40PM MUD 535 COMS W4112 18693 Database System Implementation K Ross MW 1 10PM 2 25PM MUD 1024 COMS W4115 21711 Programming Languages and Translators A Aho MW 2 40PM 3 55PM MUD 833 COMS W4118 1 75423 Operating Systems I J Lee TR 11 40AM 12 55PM NWC 501 CSEE W4119 1 64636 Computer Networks A Chaintreau TR 1 10PM 2 25PM MUD 833 CSEE W4140 1 77735 Networking Laboratory B Birand Tu 4 10PM 5 25PM COMS W4160 63648 Computer Graphics C Zheng TR 11 40AM 12 55PM MUD 535 COMS W4172 1 22582 3D User Interfaces and Augmented Reality S Feiner TR 1 10PM 2 25PM MUD 233 COMS W4180 76090 Network Security D Cook Th 10 10AM 12 40PM SCEP 415 CSOR W4231 26731 Analysis of Algorithms I X Chen TR 7 10PM 8 25PM HAV 309 COMS W4236 1 63867 Introduction To Computational Complexity M Yannakakis MW 2 40PM 3 55PM MUD 535 COMS W4281 1 77182 Introduction to Quantum Computing A Papageorgiou TR 4 10PM 5 25PM MUD 833 CSOR W4561 1 Intellectual Prop For Ent COMS W4721 1 65956 Machine Learning for Data Science A Salleb Aouissi MW 7 40PM 8 55PM MAT 407 COMS W4731 1 73956 Computer Vision S Nayar TR 10 10AM 11 25AM NWC 501 CBMF W4761 14476 Computational Genomics I Pe er MW 4 10PM 5 25PM MUD 1127 COMS W4771 76588 Machine Learning I Pe er MW 1 10PM 2 25PM MUD 535 COMS E4772 1 71300 Advanced Machine Learning A Aravkin Fr 12 00PM 2 00PM MUD 833 CSEE W4824 10663 Computer Architecture S Sethumadhavan MW 11 40AM 12 55PM MUD 535 CSEE W4840 1 66583 Embedded System Design S Edwards TR 2 40PM 3 55PM HAM 602 COMS W4901 83297 Projects In Computer Science COMS W4995 1 75305 Special Topics In Computer Science I DISCRETE DIFF GEOM APPL E Grinspun Mo 1 10PM 3 40PM MUD 644 COMS W4995 2 70506 Special Topics In Computer Science I CRYPTO FINANCIAL PROC M Rabin TR 11 40AM 12 55PM MUD 233 COMS W4995 3 11482 Special Topics In Computer Science I DATA SCI TECH ENTREPRENEUR S Maskey Mo 4 10PM 6 00PM MUD 633 COMS W4995 4 72405 Special Topics In Computer Science I Gpu Computing M Reed Tu 6 10PM 8 00PM MUD 337 COMS E6111 24622 Advanced Database Systems L Gravano Th 4 10PM 6 00PM MUD 535 COMS E6125 1 20503 Web enhanced Information Management G Kaiser Tu 10 10AM 12 00PM MUD 644 CSEE E6180 1 20740 Modeling and performance evaluation V Misra Th 9 00AM 12 00PM MUD 1127 COMS E6184 1 24015 ANONYMITY PRIVACY S Bellovin We 4 10PM 6 00PM MUD 545 COMS E6185 70041 Intrusion Detection

    Original URL path: http://www.cs.columbia.edu/education/courses/list?yearterm=20141 (2016-02-17)
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  • field is being used for creating static contents. --> Department of Computer Science, Columbia University | Courses
    Graph Theory J Gross MW 1 10PM 2 25PM MUD 833 COMS W3251 1 60225 Computational Linear Algebra A Papageorgiou TR 2 40PM 3 55PM SCH 614 COMS W3261 1 28863 Computer Science Theory M Yannakakis MW 1 10PM 2 25PM HAV 209 CSEE W3827 1 75145 Fundamentals of Computer Systems M Kim TR 10 10AM 11 25AM HAV 209 COMS W3902 27797 Undergraduate Thesis COMS W3998 88780 Undergraduate Projects In Computer Science COMS W4111 62612 Introduction to Databases A Biliris We 1 10PM 3 40PM MUD 1024 COMS W4115 1 73630 Programming Languages and Translators S Edwards MW 4 10PM 5 25PM MUD 833 COMS W4118 69201 Operating Systems I J Yang TR 4 10PM 5 25PM MUD 833 CSEE W4119 1 19056 Computer Networks V Misra TR 1 10PM 2 25PM SCH 614 COMS W4130 1 17885 Principles and Practice of Parallel Programming M Kim MW 2 40PM 3 55PM MUD 233 CSEE W4140 1 20951 Networking Laboratory G Zussman We 11 40AM 12 55PM COMS W4156 72870 Advanced Software Engineering G Kaiser TR 10 10AM 11 25AM HAM 702 COMS W4167 62450 Animation E Grinspun Th 6 10PM 8 00PM MUD 535 COMS W4170 1 16563 User Interface Design S Feiner TR 1 10PM 2 25PM HAM 517 COMS W4187 17398 Security Architecture and Engineering S Bellovin MW 2 40PM 3 55PM MUD 545 COMS W4203 1 29129 Graph Theory J Gross MW 4 10PM 5 25PM MUD 1024 CSOR W4231 1 11535 Analysis of Algorithms I C Stein TR 11 40AM 12 55PM NWC 501 CSOR W4246 1 23466 ALGORITHMS FOR DATA SCIENCE N Ruozzi MW 7 40PM 8 55PM MUD 627 COMS W4252 28142 Introduction to Computational Learning Theory R Servedio MW 1 10PM 2 25PM MUD 535 EECS E4321 1 88447 VLSI Circuits K Shepard MW 1 10PM 2 25PM BIOL W4400 1 Biological Networks COMS W4444 1 67934 Programming and Problem Solving K Ross MW 1 10PM 2 25PM MUD 233 COMS W4460 1 23247 Principles of Innovation and Entrepreneurship co instructor William Reinisch Y Yemini Th 4 10PM 6 40PM SCEP 415 COMS W4701 1 20699 Artificial Intelligence J Voris TR 2 40PM 3 55PM MUD 833 COMS W4705 20830 Natural Language Processing M Collins TR 4 10PM 5 25PM MUD 535 COMS W4733 1 23412 Computational Aspects of Robotics P Allen TR 11 40AM 12 55PM MUD 627 COMS W4737 1 61919 Biometrics P Belhumeur TR 1 10PM 2 25PM MUD 627 COMS W4771 1 61743 Machine Learning T Jebara TR 2 40PM 3 55PM MAT 207 COMS E4772 1 22856 Advanced Machine Learning D Hsu We 4 10PM 6 00PM MUD 545 CSEE W4823 1 18837 Advanced Logic Design C Vezyrtzis MW 7 10PM 8 25PM MUD 833 COMS W4901 98446 Projects In Computer Science COMS W4910 87997 Curricular Practical Training COMS W4995 1 12804 Special Topics In Computer Science I Distributed Sys Fundament R Geambasu TR 11 40AM 12 55PM MUD 337 COMS W4995 2 23515 Special Topics In

    Original URL path: http://www.cs.columbia.edu/education/courses/list?yearterm=20133 (2016-02-17)
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    STRUCTURES IN C C J Lee TR 5 40PM 6 55PM COMS W3157 1 24707 Advanced Programming J Lee TR 4 10PM 5 25PM COMS W3203 1 20958 Discrete Mathematics Introduction To Combinatorics and Graph Theory D Strickland MW 5 40PM 6 55PM COMS W3210 1 17546 Scientific Computation J Traub TR 1 10PM 2 25PM COMS W3261 1 62897 Computer Science Theory S Choi TR 11 40AM 12 55PM CSEE W3827 1 78400 Fundamentals of Computer Systems D Rubenstein MW 1 10PM 2 25PM COMS W3902 73400 Undergraduate Thesis COMS W3998 78783 Undergraduate Projects In Computer Science We 2 10PM 4 00PM CSOR E4010 1 Graph Theory Combinatl V BIOL W4031 1 Genetics COMS W4111 85037 Introduction to Databases A Biliris We 1 10PM 3 40PM COMS W4112 63043 Database System Implementation K Ross MW 1 10PM 2 25PM COMS W4115 1 93458 Programming Languages and Translators A Aho MW 2 40PM 3 55PM COMS W4118 1 63454 Operating Systems I K Joshi MW 2 40PM 3 55PM CSEE W4119 1 21446 Computer Networks A Chaintreau TR 1 10PM 2 25PM CSEE W4140 1 62038 Networking Laboratory G Grebla Mo 5 40PM 6 55PM COMS W4160 68496 Computer Graphics C Zheng TR 11 40AM 12 55PM COMS W4172 1 18503 3D User Interfaces and Augmented Reality S Feiner TR 1 10PM 2 25PM COMS W4187 P01 Security Architecture and Engineering COMS W4203 P01 Graph Theory CSOR W4231 98197 Analysis of Algorithms I L Zhang MW 8 40PM 9 55PM COMS W4236 1 76498 Introduction To Computational Complexity X Chen MW 1 10PM 2 25PM COMS W4241 1 17499 Numerical Algorithms and Complexity J Traub MW 4 10PM 5 25PM COMS W4281 1 22214 Introduction to Quantum Computing A Papageorgiou TR 4 10PM 5 25PM COMS W4460 19266 Principles of Innovation and Entrepreneurship co instructor William Reinisch Y Yemini Tu 4 10PM 6 40PM COMS W4701 22556 Artificial Intelligence S Stolfo TR 2 40PM 3 55PM COMS W4731 1 63284 Computer Vision A Reiter TR 10 10AM 11 25AM COMS W4735 1 89697 Visual Interfaces To Computers J Kender TR 10 10AM 11 25AM CBMF W4761 69280 Computational Genomics I Pe er MW 4 10PM 5 25PM COMS W4771 1 13748 Machine Learning A Weller TR 1 10PM 2 25PM COMS E4772 1 27599 Advanced Machine Learning T Jebara TR 2 40PM 3 55PM CSEE W4840 1 82286 Embedded System Design S Edwards TR 2 40PM 3 55PM COMS W4901 26099 Projects In Computer Science COMS W4910 18349 Curricular Practical Training COMS W4995 1 14035 Special Topics In Computer Science I Crypto Financial Proce M Rabin TR 10 10AM 11 25AM COMS E6125 P01 Web enhanced Information Management COMS E6232 12050 Analysis of Algorithms II M Yannakakis Th 12 10PM 2 00PM COMS E6261 1 66805 Advanced cryptography S Halevi Tu 2 10PM 4 00PM CSEE E6824 1 13027 Parallel Computer Architecture S Sethumadhavan Th 6 10PM 8 00PM CSEE E6861 1 11146 Computer Aided Design of Digital Systems S

    Original URL path: http://www.cs.columbia.edu/education/courses/list?yearterm=20131 (2016-02-17)
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