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Course Description
In this course, concepts in discrete mathematics will be studied, including logic, basic discrete structures, and combinatorial analysis, which are the basis for advanced topics and their applications in the field of data science. In this way, students will have the learning experience to think critically and be able to make the right decisions regarding the use of these concepts.
Program Objectives (PO)
- Mahasiswa mampu memahami konsep logika proposisi dan implementasinya
- Mahasiswa mampu memahami implementasi ekuivalensi, predikat, dan kuantor
- Mahasiswa mampu memahami konsep pembuktian dan induksi matematis
- Mahasiswa mampu memahami konsep himpunan dan fungsi
- Mahasiswa mampu memahami konsep notasi dan counting
- Mahasiswa memahami konsep dasar graf
- Mahasiswa memahami konsep dasar tree
- Mahasiswa memahami konsep regular expressions dan automata
Aktifitas Pembelajaran
-
Pertemuan 1 Konsep logika beserta implementasinya -
Pertemuan 2 Implementasi ekuivalensi proposisi, predikat, dan kuantor -
Pertemuan 3 Konsep kuantor bersarang -
Pertemuan 4 Konsep aturan inferensi -
Pertemuan 5 Konsep aturan inferensi -
Pertemuan 6 Konsep pembuktian -
Pertemuan 7 Konsep deret, induksi matematis, dan rekursi. -
Pertemuan 8 Ujian Tengah Semester (UTS) -
Pertemuan 9 Konsep himpunan dan fungsi -
Pertemuan 10 Konsep counting -
Pertemuan 11 Konsep Pigeonhole dan binomial -
Pertemuan 12 Konsep prinsip inklusi-eksklusi dan rekursif -
Pertemuan 13 Konsep graf -
Pertemuan 14 Konsep Tree -
Pertemuan 15 Konsep regular expressions dan automata -
Pertemuan 16 Ujian Akhir Semester (UAS)
Lecturer
Difficult Things About Education.
$75$10
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