Coursera - Automata Theory (Stanford University)

[aretr]

Coursera - Automata Theory (Stanford University)
WEBRip | English | MP4 + PDF Slides | 960 x 540 | AVC ~40.8 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English | ~ 12 hours | 835 MB
Genre: eLearning Video / Science, Algorithms, Math
I am pleased to be able to offer free over the Internet a course on Automata Theory, based on the material I have taught periodically at Stanford in the course CS154. Participants have access to screencast lecture videos, are given quiz questions, assignments and exams, receive regular feedback on progress, and can participate in a discussion forum. Those who successfully complete the course will receive a statement of accomplishment. You will need a decent Internet connection for accessing course materials, but should be able to watch the videos on your smartphone.

The course covers four broad areas: (1) Finite automata and regular expressions, (2) Context-free grammars, (3) Turing machines and decidability, and (4) the theory of intractability, or NP-complete problems.

Why Study Automata Theory?

This subject is not just for those planning to enter the field of complexity theory, although it is a good place to start if that is your goal. Rather, the course will emphasize those aspects of the theory that people really use in practice. Finite automata, regular expressions, and context-free grammars are ideas that have stood the test of time. They are essential tools for compilers. But more importantly, they are used in many systems that require input that is less general than a full programming language yet more complex than "push this button."

The concepts of undecidable problems and intractable problems serve a different purpose. Undecidable problems are those for which no computer solution can ever exist, while intractable problems are those for which there is strong evidence that, although they can be solved by a computer, they cannot be solved sufficiently fast that the solution is truly useful in practice. Understanding this theory, and in particular being able to prove that a problem you are facing belongs to one of these classes, allows you to justify taking another approach - simplifying the problem or writing code to approximate the solution, for example.

During the course, I'm going to prove a number of things. The purpose of these proofs is not to torture you or confuse you. Neither are the proofs there because I doubt you would believe me were I merely to state some well-known fact. Rather, understanding how these proofs, especially inductive proofs, work, lets you think more clearly about your own work. I do not advocate proofs that programs are correct, but whenever you attempt something a bit complex, it is good to have in mind the inductive proofs that would be needed to guarantee that what you are doing really works in all cases.

Syllabus
Week 1: Finite Automata
Week 2: Regular Expressions and Properties of Regular Languages
Week 3: Context-Free Grammars and Languages
Week 4: Properties of Context-Free Languages, plus introduction to Turing Machines
Week 5: Turing Machines and Undecidability
Week 6: Intractable Problems (NP-Completeness)

Taught by Jeffrey Ullman

General
Complete name : 03_11._Normal_forms_for_context-free_grammars_27_min.mp4
Format : MPEG-4
Format profile : Base Media
Codec ID : isom (isom/iso2/avc1/mp41)
File size : 34.8 MiB
Duration : 27 min 26 s
Overall bit rate : 177 kb/s
Writing application : Lavf55.19.104

Video
ID : 1
Format : AVC
Format/Info : Advanced Video Codec
Format profile :
Format settings : CABAC / 4 Ref Frames
Format settings, CABAC : Yes
Format settings, RefFrames : 4 frames
Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 27 min 26 s
Bit rate : 40.8 kb/s
Width : 960 pixels
Height : 540 pixels
Display aspect ratio : 16:9
Frame rate mode : Constant
Frame rate : 29.970 (29970/1000) FPS
Color space : YUV
Chroma subsampling : 4:2:0
Bit depth : 8 bits
Scan type : Progressive
Bits/(Pixel*Frame) : 0.003
Stream size : 8.01 MiB (23%)
Writing library : x264 core 138
Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x1:0x111 / me=hex / subme=7 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=12 / lookahead_threads=2 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=250 / keyint_min=25 / scenecut=40 / intra_refresh=0 / rc_lookahead=40 / rc=crf / mbtree=1 / crf=28.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / ip_ratio=1.40 / aq=1:1.00
Language : English

Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : mp4a-40-2
Duration : 27 min 26 s
Bit rate mode : Constant
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 44.1 kHz
Frame rate : 43.066 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 25.1 MiB (72%)
Language : English
Default : Yes
Alternate group : 1

Screenshots






DOWNLOAD

Code:

http://nitroflare.com/view/F8FCADB1A5D31EE/pc8hq.Coursera..Automata.Theory.Stanford.University.part01.rar
http://nitroflare.com/view/91ADFC92DF4E4FC/pc8hq.Coursera..Automata.Theory.Stanford.University.part02.rar
http://nitroflare.com/view/CF246E61CDE9CA8/pc8hq.Coursera..Automata.Theory.Stanford.University.part03.rar
http://nitroflare.com/view/45CA67E496FD416/pc8hq.Coursera..Automata.Theory.Stanford.University.part04.rar
http://nitroflare.com/view/DBA9CD4E56CD146/pc8hq.Coursera..Automata.Theory.Stanford.University.part05.rar
http://nitroflare.com/view/92CB51EE67460A1/pc8hq.Coursera..Automata.Theory.Stanford.University.part06.rar
http://nitroflare.com/view/ECD8C0B3632FC0D/pc8hq.Coursera..Automata.Theory.Stanford.University.part07.rar
http://nitroflare.com/view/4E1DC08E1C7A9AD/pc8hq.Coursera..Automata.Theory.Stanford.University.part08.rar
http://nitroflare.com/view/C38EBFF25510CFA/pc8hq.Coursera..Automata.Theory.Stanford.University.part09.rar

Code:

https://rapidgator.net/file/94e90b542687b4c140f91c6f25297ebd/pc8hq.Coursera..Automata.Theory.Stanford.University.part01.rar
https://rapidgator.net/file/a91dc48dfecdc09e466fba2498df72f0/pc8hq.Coursera..Automata.Theory.Stanford.University.part02.rar
https://rapidgator.net/file/5d1833d66b826755ba9a00b92257500a/pc8hq.Coursera..Automata.Theory.Stanford.University.part03.rar
https://rapidgator.net/file/2a2cc29db2918e779184f4664e8ca5c1/pc8hq.Coursera..Automata.Theory.Stanford.University.part04.rar
https://rapidgator.net/file/3aaa13becc3829329cd56962a37f15d8/pc8hq.Coursera..Automata.Theory.Stanford.University.part05.rar
https://rapidgator.net/file/41db797fd38570d11bbbe11a08fcade2/pc8hq.Coursera..Automata.Theory.Stanford.University.part06.rar
https://rapidgator.net/file/747d0a3333cbe7645010fe3e59028e4d/pc8hq.Coursera..Automata.Theory.Stanford.University.part07.rar
https://rapidgator.net/file/71823a83b12ff4a2947ae02a2f01cd62/pc8hq.Coursera..Automata.Theory.Stanford.University.part08.rar
https://rapidgator.net/file/329401633a0017ec113ebd6bae800602/pc8hq.Coursera..Automata.Theory.Stanford.University.part09.rar