This course introduces students to the Julia programming language, focusing on its applications in statistical computing and data analysis. Students will learn how to leverage Julia's high-performance capabilities to perform complex statistical operations, data manipulation, visualization, and modelling.

This course provides an in-depth exploration of linear algebra concepts and techniques using the Julia programming language. Students will learn to apply Julia's high-performance capabilities to solve linear algebra problems, including matrix operations, vector spaces, eigenvalues, and more.

MKTG 3P98

Mytimeseries

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01/29 tutorial on how to create markdown links

UNTHSC Phar7383 BE Homework exercise Wk2 01_29_2025

This course introduces students to numerical computing using the Julia programming language. It covers the fundamentals of numerical methods and how they are implemented in Julia for solving real-world scientific and engineering problems.

Menganalisis pengaruh variabel inflasi, Indeks Harga Konsumen (IHK), Upah Minimum Provinsi (UMP), Produk Domestik Regional Bruto (PDRB), Angka Partisipasi Kasar Tingkat SD/sederajat (APK SD), Angka Partisipasi Kasar Tingkat SMP/sederajat (APK SMP), dan Angka Partisipasi Kasar Tingkat SMA/sederajat (APK SMA) terhadap Tingkat Pengangguran Terbuka (TPT) berdasarkan hasil model regresi data panel.