Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
情報社会論2023 #01 CCとは
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Taichi FURUHASHI
April 18, 2023
Education
280
0
Share
情報社会論2023 #01 CCとは
青山学院大学 青山スタンダード
2023年度「情報社会論」
古橋 講義
#AGU情報社会論
© mapconcierge, CC BY-SA 4.0
Taichi FURUHASHI
April 18, 2023
More Decks by Taichi FURUHASHI
See All by Taichi FURUHASHI
FOSS4G 2024 Belem, SotM LatAm 2024 Belem, FOSS4G Asia 2024 Bangkok 個人的ふりかえり
fullfull
0
140
20241211_StateoftheFOSS4G2024.pdf
fullfull
0
73
20241210_DRONEBIRD.pdf
fullfull
0
110
20241210_UNVTPortable.pdf
fullfull
0
89
DRONEBIRDs ARE GO! | Taichi FURUHASHI
fullfull
0
140
PLATEAU concierge v0.1 | PLATEAU AWARD 2024
fullfull
0
89
「Disaster Management Policies B」特別講義 How to edit the OpenStreetMap 古橋資料
fullfull
0
77
20241111_GEOINTの最新動向_古橋
fullfull
0
230
Power of Open Mapping | Taichi Furuhashi, Aoyama Gakuin Univ.
fullfull
1
120
Other Decks in Education
See All in Education
Course Review - Lecture 13 - Information Visualisation (4019538FNR)
signer
PRO
1
2.6k
LinkedIn
matleenalaakso
0
4.2k
!コスパよくインターンに受かる方法!
ruribou
0
250
2026年度春学期 統計学 第6回 データの関係を知る(1)ー 相関関係 (2026. 5. 14)
akiraasano
PRO
0
110
The Lotus and the Frog
vyadav
0
110
JAWS-UG初心者支部#81 GWにEduJAWSと何か作ろうもくもく会!
otsuki
0
130
「機械学習と因果推論」入門 ⑤ 因果効果推定の一般化
masakat0
0
110
2026年度春学期 統計学 第4回 データを「分布」で見る (2026. 4. 30)
akiraasano
PRO
0
130
Gesture-based Interaction - Lecture 6 - Next Generation User Interfaces (4018166FNR)
signer
PRO
1
2.3k
AWS Certified Generative AI Developer - Professional Beta 不合格体験記
amarelo_n24
1
320
Data Processing and Visualisation Frameworks - Lecture 6 - Information Visualisation (4019538FNR)
signer
PRO
1
3.1k
[2026前期火5] 論理学(京都大学文学部 前期 第5回)「 ならばの問題演習・proof net・かつの規則」
yatabe
0
250
Featured
See All Featured
Designing for Performance
lara
611
70k
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
300
Mozcon NYC 2025: Stop Losing SEO Traffic
samtorres
1
250
Leo the Paperboy
mayatellez
7
1.8k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
10k
The Invisible Side of Design
smashingmag
302
52k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.5k
A Modern Web Designer's Workflow
chriscoyier
698
190k
Winning Ecommerce Organic Search in an AI Era - #searchnstuff2025
aleyda
1
2k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.3k
Claude Code のすすめ
schroneko
67
230k
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
2
570
Transcript
੨ࢁֶӃେֶٿࣾձڞੜֶ෦ ݹڮେ !NBQDPODJFSHF ใࣾձ ૌ͑ΒΕͳ͍ͨΊͷ デジ λϧίϯςϯπɾϥΠηϯεೖ
ຊίϯςϯπͷ ϥΠηϯεಛʹஅΓͷͳ͍ݶΓ $$#:4"ʹै͍·͢ɻ
࠷ॳͷؔ
None
None
ͳͥ ίʔεύϫʔͰͳ͘ (PPHMF$MBTTSPPNΛ͏ͷ͔ʁ
̎ͭཧ༝͕͋Γ·͢ɻ
ཧ༝̍ ࣮࣭తʹ-.4ͷ άϩʔόϧελϯμʔτ͔ͩΒ
ཧ༝̎ ѹతʹ͍͍͔͢Β
౦༸ܦࡁFEVDBUJPOº*$5ΑΓҾ༻ IUUQTOFXTZBIPPDPKQBSUJDMFTFEBBF ff FEFDFDE
"(6ใࣾձ
࠷ॳʹ
ֶੜొϑΥʔϜ IUUQT HPPHMFP9'R
ͷͪ΄Ͳ ϫʔΫεϖʔεʹ ট͠·͢ʂ IUUQTGVSVIBTIJMBCTMBDLDPN
Y
͏ͻͱͭ
Y
Y XJUI
͜ͷतۀ༻ʹ 5XJUUFSΞΧϯτ ༻ҙ͍ͯͩ͘͠͞ɻ 伴Ͱͳ͚Εීஈ͍ͬͯΔΞΧϯτͰ0,Ͱ͕͢ɺ ༑ਓʹఏग़՝Λࡽ͢͜ͱʹͳΓ·͢
͜ͷतۀͰ
तۀதͷ εϚϗɺλϒϨοτ 1$ར༻ͯ͢0,Ͱ͢ɻ
ͦͷΘΓ
तۀத ੵۃతʹ άά͍ͬͯͩ͘͞ʂ
ͳʹ͔࣭͕͋ͬͨΒɺ Ұάάͬͯ ͦΕͰΘ͔Βͳ͚Ε ԕྀͳ͘ฉ͍͍ͯͩ͘͞ɻ
ͨͩ͠
*OUFSOFU&YQMPSFS *& ༻ېࢭʂ 9
ϞμϯΣϒϒϥβ ͕ ੈքͷৗࣝ Firefox Chrome Safari Edge Chromium
*&ʹىҼ͢Δ τϥϒϧ ରԠ͠·ͤΜʂ ͦͷͨΊʹ࣌ؒΛׂ͘͜ͱɺଞͷֶੜʹ໎Ͱ͢ɻ
https://japanese.engadget.com/2019/02/08/internet-explorer-ie/
ϚΠΫϩιϑτ ༻தࢭΛཁɻ
IUUQTCMPHTXJOEPXTDPNKBQBOUIFGVUVSFPGJOUFSOFUFYQMPSFSPOXJOEPXTJTJONJDSPTPGUFEHF
݄ αϙʔτऴྃʂ
ͯ͞
՝ఏग़ ʹग़੮Ͱ͢ɻ
ใͷѻ͍ํͱ ࣾձͷΈΛཧղ͢Δɻ
తࡒ࢈ݖ ϥΠηϯε
ͱ͘ʹ ஶ࡞ݖ
ྫ͑ʜ
None
IUUQTTPVOEDMPVEDPN
IUUQTTPVOEDMPVEDPN
None
ࣗ࡞ͷө૾࡞ͷ όοΫϛϡʔδοΫ ͱͯ͠ ͍͍͢ ϥΠηϯεͲΕ͔ʁ
None
͜͠ͷ͕ࣝͳ͘ ࣾձਓʹ ͳͬͨΒʜ
ࣄྫ
https://www.sankei.com/life/news/180629/lif1806290021-n1.html ࢈ܦ৽ฉ ΑΓҾ༻
Ҿ༻ͷํΛ Βͳ͍
ɹ8JLJQFEJB $$#:4" IUUQTKBXJLJQFEJBPSHXJLJ&#$"#&##&%
ͬͯྑ͍͜ͱ ѱ͍͜ͱͷ۠ผ͕Ͱ͖ͳ͍
None
(PPHMFϚοϓΛ ҹʹ͏ʹ Ұఆͷ੍ݶ͕͋Δɻ
ར༻نΛ ཧղ͍ͯ͠ͳ͍ɻ
ެһͰ͑͞ʜ
IUUQXXXQSFGLBHBXBMHKQDPOUFOULPIPIPVEPVX[DSJTIUNM
IUUQXXXQSFGLBHBXBMHKQDPOUFOULPIPIPVEPVX[DSJTIUNM
IUUQTXXXQSFGFIJNFKQIIQIUNM
IUUQXXXQSFGJXBUFKQLPVDIPVLPVIPVIUNM
IUUQXXXQSFGOBSBKQIUN
IUUQTXXXQSFGNJZBHJKQSFMFBTFIPIUNM
IUUQTUPHFUUFSDPNMJ
IUUQTUXJUUFSDPN)BZBLBXB:VLJPTUBUVT IUUQTUXJUUFSDPN)BZBLBXB:VLJPTUBUVT
ˠڭҭؔऀఔϥΠηϯεͷ͕ࣝগͳ͍ɻ ˠͦΕނɺೋ࣍ར༻ ͱ͘ʹτϨʔε Λແ֮ࣗͰ࣮ࢪ͕ͪ͠ɻ ˠҾ༻ສೳͰͳ͍ɻ ˠར༻نͷલʹଌྔ๏͕༏ઌ͢Δɻ IUUQTUXJUUFSDPN)BZBLBXB:VLJPTUBUVT IUUQTUXJUUFSDPN)BZBLBXB:VLJPTUBUVT
IUUQTUXJUUFSDPNGVLVJLFOTBLVTUBUVT
ࠜຊతʹ ࡞ऀɾΫϦΤΠλʔʹର͢Δ ܟҙ͕͚ܽͨΒ ͍͍ͩͨԌ্͢Δɻ
ϑΣΞϢʔε 'BJSVTF
͜ͷߨٛͰ ཧղ͢Δͷ ࣍ͷ̏Ͱेɻ
$PQZSJHIUT"MM3FTFSWFE $SFBUJWF$PNNPOT 1VCMJD%PNBJO
ิతʹ
B ஶ࡞ݖ๏ C ଌྔ๏
དྷि·Ͱͷ ՝̎
ࢀߟࢿྉ
ʮϑϦʔΧϧνϟʔΛͭ͘ΔͨΊͷ ΨΠυϒοΫʯυϛχΫɾνΣϯஶ IUUQTHJUIVCDPNHTDBPZBNB)PX5P.BLF'SFF$VMUVSF
None
None
IUUQTHJUIVCDPNNBQDPODJFSHF)PX5P.BLF'SFF$VMUVSF
՝ᶃ ʮΫϦΤΠςΟϒ ίϞϯζͱ ԿͰ͔͢ʯ ˞จࣈҎͷຊޠͰతʹઆ໌͍ͯͩ͘͠͞ɻ ˞ϋογϡλά"(6ใࣾձΛจࣈҎʹؚΊ͍ͯͩ͘͞ɻ
$IBU(15ͷ༻0,
$IBU(15ͷ༻0, ڈΑΓΑΓݫີʹධՁ͠·͢ɻ ʢ՝ᶃʹ͍ͭͯ̎ͭͷཁૉ͕ͯ͋͠Ε0,ʣ
՝ᶄ ʮΫϦΤΠςΟϒɾίϞϯζΛ࠾༻͠ ͨίϯςϯπͱ63-Λ۩ମతʹ̏ͭ ্͍͛ͯͩ͘͞ɻʯ ྫ ΟΩϖσΟΞɺάουσβΠϯɺαϯυΫϥυ ˞্هྫͰࣔͨ͠ίϯςϯπର֎Ͱ͢ɻ ˞ͳΔ̍ͭ͘ͷ5XFFUʹ·ͱΊΔ͜ͱɻจࣈ͕Γͳ͘ͳͬͨΒෳ5XFFUTͯ͢ͷ1FSNBMJOL63-Λ(PPHMF $MBTTSPPNʹఏग़͍ͯͩ͘͠͞
˞ࠓडߨੜͰطग़ͷίϯςϯπ͕͋ͬͨ߹ݮͱ͠·͢ɻ ઌئ༏ઌ ˞ϋογϡλά"(6ใࣾձΛจࣈҎʹؚΊ͍ͯͩ͘͞ɻ
ྫ ΟΩϖσΟΞ IUUQTKBXJLJQFEJBPSHXJLJ8JLJQFEJB5FYU@PG@$SFBUJWF@$PNNPOT@"UUSJCVUJPO4IBSF"MJLF@@6OQPSUFE@-JDFOTF
ྫ άουσβΠϯ IUUQXXXHNBSLPSHD@DPNNPOTIUNM
՝ఏग़5XJUUFSͰͭͿ͖ ͦͷ1FSNBMJOL63-Λ ʮϦϯΫʯͱͯ͠ (PPHMF$MBTTSPPN՝ఏग़
1FSNBMJOL
8JLJQFEJB $$#:4" IUUQTFOXJLJQFEJBPSHXJLJ1FSNBMJOL
None
5XJUUFSͷ߹ ͜ͷλΠϜελϯϓΛΫϦοΫ͢Δͱ 1FSNBMJOL63-͕Θ͔Δ
None
None
͜ͷ63-Λ (PPHMF$MBTTSPPNͷ ʮϦϯΫʯͱͯ͠՝ఏग़
None
None