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Universitas Gadjah Mada Departemen Ilmu Komputer dan Elektronika
Fakultas Matematika dan Ilmu Pengetahuan Alam
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  • Kurikulum Magister Kecerdasan Artifisial

Kurikulum Magister Kecerdasan Artifisial

  • 1 April 2023, 01.31
  • Oleh :

Kurikulum Program Studi Magister Kecerdasan Artifisial terdiri dari 41 SKS yang memuat 26 SKS mata kuliah wajib, termasuk 2 SKS proposal dan 6 SKS tesis. Program Studi Magister Kecerdasan Artifisial dapat diselesaikan dalam 3 hingga 4 semester. Lulusan akan mendapatkan gelar M.CS(AI), Master of Computer Science in Artificial Intelligence.

  • Struktur Kurikulum
  • Mata Kuliah Wajib
  • Mata Kuliah Pilihan
  • Silabus
  • Dasar Kurikulum
  • Struktur mata kuliah yang harus diambil setiap semesternya  disajikan  pada Tabel Struktur mata kuliah didesain untuk dapat ditempuh selama 3 semester,  tetapi  memungkinkan  bagi  mahasiswa  untuk menempuh  semester 4 untuk mengulang mata kuliah wajib dan mata kuliah pilihan lainnya. Pada Semester 1, mahasiswa diwajibkan mengambil 18 SKS yang terdiri dari 12 SKS mata kuliah teori wajib dan 6 SKS mata kuliah pilihan. Selanjutnya,  pada Semester 2 mahasiswa diwajibkan mengambil 8 SKS mata kuliah wajib yang terdiri dari 2 SKS Proposal Tesis 2 SKS dan 2 mata kuliah wajib teori, dan dapat mengambil maksimal 9 SKS mata kuliah pilihan. Semester 3, mahasiswa diwajibkan mengambil mata kuliah tesis sebesar 6 SKS. 

    Struktur Mata Kuliah Program Studi Magister Ilmu Komputer

    Semester  Mata Kuliah  SKS 
     

     

     

    1 

    Mata Kuliah Wajib 1  3 
    Mata Kuliah Wajib 2  3 
    Mata Kuliah Wajib 3  3 
    Mata Kuliah Wajib 4  3 
    Mata Kuliah Pilihan 1  3 
    Mata Kuliah Pilihan 2  3 
    Jumlah  18 
     

     

     

    2 

    Mata Kuliah Wajib 5  2 
    Mata Kuliah Wajib 6  3 
    Mata Kuliah Wajib 7  3 
    Mata Kuliah Pilihan 3  3 
    Mata Kuliah Pilihan 4  3 
    Mata Kuliah Pilihan 5  3 
    Jumlah  17 
    3  Mata Kuliah Wajib 8  6 
    Jumlah  6 
    Total  41 

  • Mata kuliah wajib terdiri atas mata kuliah-mata kuliah yang wajib diambil oleh setiap mahasiswa, baik teori maupun tesis/penelitian. Berikut adalah daftar mata kuliah wajib pada program Reguler Magister Kecerdasan Artifisial, dapat dilihat pada Tabel.

    Mata Kuliah Wajib Program Studi Magister Kecerdasan Artifisial

    No.

    Kode

    Nama Mata Kuliah

    SKS

    Sem

    Prasyarat

    Jenis

    1

    MIK226001

    Metodologi Riset Kecerdasan Artifisial

    (Research Methodology in Artificial Intelligence)

    3

    1

    –

    MKW

    2

    MIK226401

    Prinsip Kecerdasan Artifisial

    (Principles of AI)

    3

    1

    –

    MKW

    3

    MIK226402

    Pembelajaran Mesin dan Kecerdasan Adaptif

    (Machine Learning and Adaptive Intelligence)

    3

    1

    –

    MKW

    4

    MIK226403

    Logika Fuzzy Lanjut

    (Advanced Fuzzy Logic)

    3

    1

    –

    MKW

    Jumlah

    12

    5

    MIK226002

    Proposal Tesis

    2

    2

    MIK226001

    MKW

    6

    MIK226404

    Pengenalan dan Analisis Pola

    (Pattern Recognition and Analysis)

    3

    2

    –

    MKW

    7

    MIK226405

    Sains Data dan Analisis Prediktif

    (Data Science and Predictive Analytics)

    3

    2

    –

    MKW

    Jumlah

    8

    8

    MIK226003

    Tesis

    6

    3

    MIK226002

    MKW

    Jumlah

    6

    Total

    26

     

  • Daftar Mata Kuliah Pilihan Program Studi Magister Kecerdasan Artifisial

    No.

    Kode

    Mata Kuliah

    SKS

    Semester

    1

    MIK226406

    Sistem Terinspirasi Mahluk Hidup

    (Bioinspired Systems)

    3

    Ganjil

    2

    MIK226407

    Sistem Kognitif Komputasional

    (Computational Cognitive Systems)

    3

    Ganjil

    3

    MIK226408

    Sistem Multiagen Cerdas (Intelligent

    Multiagent Systems)

    3

    Ganjil

    4

    MIK226409

    Computer Vision Lanjut (Advanced

    Computer Vision)

    3

    Ganjil

    5

    MIK226410

    Sistem Pakar Lanjut (Advanced Expert

    Systems)

    3

    Ganjil

    6

    MIK226411

    Penalaran Komputer (Computer

    Reasoning)

    3

    Ganjil

    7

    MIK226412

    Sistem Pendukung Keputusan Cerdas

    (Intelligent Decision Support Systems)

    3

    Ganjil

    8

    MIK226413

    Kapita Selekta (Special Topic in AI)

    Ganjil/

    Genap

    9

    MIK226414

    Penalaran Ketidakpastian (Uncertainty

    Reasoning)

    3

    Genap

    10

    MIK226415

    Pemrosesan Bahasa Alami Lanjut

    (Advanced Natural Language Processing)

    3

    Genap

    11

    MIK226416

    Kecerdasan Artifisial pada Bioinformatika

    (AI in Bioinformatics)

    3

    Genap

    12

    MIK226417

    Inovasi dan Enterpreneur Kecerdasan Artifisial (AI Innovation & Entrepreneurship)

    3

    Genap

    13

    MIK226418

    Kecerdasan Artifisial pada Pemasaran (AI

    in Marketing)

    3

    Genap

    14

    MIK226419

    Pembelajaran Mesin Mendalam Lanjut

    (Advanced Deep Learning )

    3

    Genap

    15

    MIK226420

    Magang (Internship)

    3

    Ganjil/

    Genap

  • Last Updated: 3 April 2023

    Silabus Magister Kecerdasan Artifisial

  • Dasar-dasar hukum perubahan kurikulum adalah sebagai berikut: 

    1. Permendikbud Nomor 3 Tahun 2020 tentang Standar Nasional Perguruan Tinggi 
    2. Peraturan Rektor UGM Nomor 14 Tahun 2020 tentang Kerangka Dasar Kurikulum UGM. 
    3. Surat Keputusan Dirjen DIKTI Nomor 84/E/KPT/2020 tentang Pedoman Pelaksanaan Mata Kuliah Wajib pada Kurikulum Pendidikan Tinggi [35]. 
    4. Peraturan Presiden Republik Indonesia Nomor 8 tahun 2012 tentang Kerangka Kualifikasi Nasional Indonesia. 
    5. Permendikbud Nomor 73 Tahun 2013 tentang Penerapan Kerangka Kualifikasi Nasional Indonesia Bidang Pendidikan Tinggi [36]. 
    6. Workshop, rapat dan pertemuan mengenai kurikulum pada Departemen Ilmu Komputer dan Elektronika dan pada Tim Penyusunan Program Studi Magister Kecerdasan Artifisial. 

Prospective Students, welcome!


Content: Magister Kecerdasan Artifisial

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Universitas Gadjah Mada

Departemen Ilmu Komputer dan Elektronika

Fakultas Matematika dan Ilmu Pengetahuan Alam

Universitas Gadjah Mada

Gedung C, Lantai 4

Sekip Utara Bulaksumur Yogyakarta 55281

Introduction

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