ANALISIS KONTEN KURIKULUM S1 JURUSAN PENDIDIKAN TEKNIK OTOMOTIF FAKULTAS TEKNIK UNIVERSITAS NEGERI YOGYAKARTA TAHUN 2015

Penelitian ini bertujuan untuk mengetahui: (1) Kesesuaian isi visi dan misi Jurusan Pendidikan Teknik Otomotif S1 terhadap visi dan misi Fakultas Teknik dan UNY; (2) Mengidentifikasi kelengkapan perangkat kurikulum di Jurusan Pendidikan Teknik Otomotif S1 FT UNY; (3) Mengetahui kesesuian isi Rencana Pelaksanaan Pembelajaran terhadap visi dan misi Jurusan Pendidikan Teknik Otomotif S1 FT UNY. Penelitian ini dilaksanakan dengan pendekatan kualitatif menggunakan metode analisis konten terhadap: (1) Visi dan misi Universitas, Fakultas dan Jurusan; (2) Kelengkapan perangkat kurikulum; dan (3) Rencana Pelaksanaan Pembelajaran (RPP). Teknik pengumpulan data menggunakan metode observasi dan dokumentasi. Analisis data dilakukan secara kualitatif oleh peneliti dengan metode analisis konten dan kemudian hasilnya dideskripsikan secara kualitatif dan kuantitatif. Hasil penelitian ini menunjukkan bahwa: (1) Visi dan misi Prodi Teknik Otomotif sesuai dengan visi dan misi Fakultas Teknik dan UNY; (2) Kelengkapan perangkat kurikulum di Jurusan Pendidikan Teknik Otomotif belum maksimal, dengan rincian kelengkapan deskripsi mata kuliah mencapai 81,94%, sedangkan untuk RPP sebesar 48,61%; (3) Isi RPP belum maksimal mendukung pencapaian visi dan misi Jurusa

Multiplication and Composition in Weighted Modulation Spaces

We study the existence of the product of two weighted modulation spaces. For this purpose we discuss two different strategies. The more simple one allows transparent proofs in various situations. However, our second method allows a closer look onto associated norm inequalities under restrictions in the Fourier image. This will give us the opportunity to treat the boundedness of composition operators.Comment: 49 page

Monoids over which all weakly flat acts are flat

If R is a ring with identity and M is a left R-module then it is well known that the following statements are equivalent: (1) M is flat. (2) The functor—⊗ M preserves embeddings of right ideals into R. This paper investigates situations in which the analogous statements are equivalent in the context of S-sets over a monoid S

On Non-Bayesian Social Learning

We study a model of information aggregation and social learning recently proposed by Jadbabaie, Sandroni, and Tahbaz-Salehi, in which individual agents try to learn a correct state of the world by iteratively updating their beliefs using private observations and beliefs of their neighbors. No individual agent's private signal might be informative enough to reveal the unknown state. As a result, agents share their beliefs with others in their social neighborhood to learn from each other. At every time step each agent receives a private signal, and computes a Bayesian posterior as an intermediate belief. The intermediate belief is then averaged with the belief of neighbors to form the individual's belief at next time step. We find a set of minimal sufficient conditions under which the agents will learn the unknown state and reach consensus on their beliefs without any assumption on the private signal structure. The key enabler is a result that shows that using this update, agents will eventually forecast the indefinite future correctly