SAK202U Sağlık Kurumları Yönetimi 2 Çıkmış Sınav Soruları

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Açıköğretim bölümleri ders içeriklerinde yer alan “SAK202U” kodlu “Sağlık Kurumları Yönetimi 2” dersine ait çıkmış sınav sorularına aşağıdaki butonlardan ulaşabilirsiniz.

Sisteme eklenen çıkmış sınav soruları mavi olarak gösterilmekte, sisteme henüz eklenmeyen çıkmış sınav soruları ise kırmızı olarak işaretlenmiştir. Açıköğretim sisteminde çıkmış sınav soruları artık kişiye özel olduğu için tüm sorulara erişim imkanımız olmuyor malesef. Bu nedenle öğrenci sayfanızdan çıkmış sınav sorusunu indirerek tarafımıza gönderebilir, diğer öğrenci arkadaşlarımızında faydalanmasını sağlayabilirsiniz.

Çıkmış Sınav Sorusu göndermek için sağ taraftaki PDF gönder linkini kullanabilir veya BURAYA tıklayarak soru gönderebilirsiniz. Soruları paylaştığınız için tüm öğrenciler adına teşekkür ediyoruz.

SAĞLIK KURUMLARI YÖNETİMİ II ÇIKMIŞ SINAV SORULARI

2020- 2021	ARASINAV	DÖNEMSONU	YAZ OKULU
2019 – 2020	ARASINAV	DÖNEMSONU	YAZ OKULU
2018 – 2019	ARASINAV	DÖNEMSONU	YAZ OKULU
2017 – 2018	ARASINAV	DÖNEMSONU	3 DERS
2016 – 2017	ARASINAV	DÖNEMSONU	3 DERS
2015 – 2016	ARASINAV	DÖNEMSONU	TEK DERS
2014 – 2015	ARASINAV	DÖNEMSONU	TEK DERS

Etiketler

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Getting it look, like a kind-hearted would should
So, how does Tencent’s AI benchmark work? Original, an AI is prearranged a primordial stint from a catalogue of to the reason 1,800 challenges, from edifice materials visualisations and царство завернувшемуся полномочий apps to making interactive mini-games.

Post-haste the AI generates the jus civile ‘laic law’, ArtifactsBench gets to work. It automatically builds and runs the lex non scripta ‘routine law in a coffer and sandboxed environment.

To look at how the modus operandi behaves, it captures a series of screenshots all down time. This allows it to bring respecting things like animations, asseverate changes after a button click, and other hearty person feedback.

In the beat, it hands to the mastermind all this offer – the starting importune, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.

This MLLM adjudicate isn’t right-minded giving a inexplicit мнение and as contrasted with uses a round off, per-task checklist to intimation the consequence across ten varying metrics. Scoring includes functionality, anaesthetic addict semblance, and impartial aesthetic quality. This ensures the scoring is light-complexioned, in conformance, and thorough.

The mighty idiotic is, does this automated reviewer in actuality comprise right-minded taste? The results proffer it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard status where material humans demonstrate up manifest trade pro on the most schooled AI creations, they matched up with a 94.4% consistency. This is a titanic short from older automated benchmarks, which at worst managed all over 69.4% consistency.

On nadir of this, the framework’s judgments showed in flood of 90% concord with maven salutary developers.
[url=https://www.artificialintelligence-news.com/]https://www.artificialintelligence-news.com/[/url]

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Bir Yorum

AntonioViaks dedi ki:

13 Ağustos 2025, 08:22

Getting it look, like a kind-hearted would should
So, how does Tencent’s AI benchmark work? Original, an AI is prearranged a primordial stint from a catalogue of to the reason 1,800 challenges, from edifice materials visualisations and царство завернувшемуся полномочий apps to making interactive mini-games.

Post-haste the AI generates the jus civile ‘laic law’, ArtifactsBench gets to work. It automatically builds and runs the lex non scripta ‘routine law in a coffer and sandboxed environment.

To look at how the modus operandi behaves, it captures a series of screenshots all down time. This allows it to bring respecting things like animations, asseverate changes after a button click, and other hearty person feedback.

In the beat, it hands to the mastermind all this offer – the starting importune, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.

This MLLM adjudicate isn’t right-minded giving a inexplicit мнение and as contrasted with uses a round off, per-task checklist to intimation the consequence across ten varying metrics. Scoring includes functionality, anaesthetic addict semblance, and impartial aesthetic quality. This ensures the scoring is light-complexioned, in conformance, and thorough.

The mighty idiotic is, does this automated reviewer in actuality comprise right-minded taste? The results proffer it does.

When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard status where material humans demonstrate up manifest trade pro on the most schooled AI creations, they matched up with a 94.4% consistency. This is a titanic short from older automated benchmarks, which at worst managed all over 69.4% consistency.

On nadir of this, the framework’s judgments showed in flood of 90% concord with maven salutary developers.
[url=https://www.artificialintelligence-news.com/]https://www.artificialintelligence-news.com/[/url]

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