İzmir Ekonomi Üniversitesi
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    MCE 412 | Ders Tanıtım Bilgileri

    Dersin Adı
    Autonomous Robotics
    Kodu
    Yarıyıl
    Teori
    (saat/hafta)
    Uygulama/Lab
    (saat/hafta)
    Yerel Kredi
    AKTS
    MCE 412
    FALL
    3
    0
    3
    6

    Ön-Koşul(lar) MATH 250 (To get a grade of at least FD) or EEE 281 (To get a grade of at least FD)
    Dersin Dili English
    Dersin Türü ELECTIVE_COURSE
    Dersin Düzeyi Lisans
    Dersin Veriliş Şekli Face-to-face
    Dersin Öğretim Yöntem ve Teknikleri Problem Solving
    Q&A
    Simulation
    Application: Experiment / Laboratory / Workshop
    Lecture / Presentation
    Ulusal Meslek Sınıflandırma Kodu -
    Dersin Koordinatörü
    • Doç. Dr. Pınar Oğuz Ekim
    Öğretim Eleman(lar)ı
    • Doç. Dr. Pınar Oğuz Ekim
    Yardımcı(ları)
    • Araş. Gör. Alperen Keser
    Dersin Amacı The objectives of this course are to provide basic information about autonomous robots and to introduce basic analysis and design methods with a curriculum enriched with application examples.
    Öğrenme Çıktıları Bu dersi başarıyla tamamlayabilen öğrenciler;
    Ad Açıklama PC Alt * Katkı Düzeyi
    1 2 3 4 5
    LO1 Explain localization problem of a robot 1.5 X
    LO2 Describe mapping problem of a robot 2 X
    LO3 Define path planning for a robot 3.1 X
    LO4 Analyse sensors on an autonomous robot 2 X
    LO5 Design filtering algorithms for autonomous robot application 3.2 X
    Ders Tanımı Introduction to autonomous robotics, motion models of a robot, measurement models of different sensor types, filtering techniques, simultaneous localization and mapping method.
    Dersin İlişkili Olduğu Sürdürülebilir Kalkınma Amaçları
    -

     



    Dersin Kategorisi

    Temel Ders
    Uzmanlık/Alan Dersleri
    X
    Destek Dersleri
    İletişim ve Yönetim Becerileri Dersleri
    Aktarılabilir Beceri Dersleri

     

    HAFTALIK KONULAR VE İLGİLİ ÖN HAZIRLIK ÇALIŞMALARI

    Hafta Konular Ön Hazırlık Öğrenme Çıktısı
    1 Introduction + Sheet 1 (Python Setup) Chapter 1 and Chapter 2, Computational Principles of Mobile Robotics, Gregory Dudek and Michael Jenkin-2nd Edition, Cambridge University Press, 2010. LO1
    2 Linear Algebra Review + Sheet 2 (Linear Algebra practice in Python) Matrix Cookbook LO2
    3 Wheeled Locomotion + Sheet 3 (Locomotion-Differential Drive Kinematics in Python) Chapter 3, Computational Principles of Mobile Robotics, Gregory Dudek and Michael Jenkin-2nd Edition, Cambridge University Press, 2010. LO3
    4 Sensors Chapter 4, Computational Principles of Mobile Robotics, Gregory Dudek and Michael Jenkin-2nd Edition, Cambridge University Press, 2010. LO4
    5 Probabilities and Bayes Review + Sheet 4 (Bayes Rule) Chapter 2, Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press, 2000 LO5
    6 Probabilistic Motion Models + Sheet 5 (Motion Models in Python) Chapter 5, Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press, 2000 LO5
    7 Probabilistic Sensor Models + Sheet 6 (Sensor Models in Python) Chapter 6, Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press, 2000 LO4
    8 The Kalman Filter Chapter 3, Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press, 2000. --- Chapter 4, Computational Principles of Mobile Robotics, Gregory Dudek and Michael Jenkin-2nd Edition, Cambridge University Press, 2010. LO5
    9 The Extended Kalman Filter + Sheet 8 (Extended Kalman Filter Implementation in Python) Chapter 7, Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press, 2000 LO5
    10 Discrete Filters Chapter 8, Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press, 2000 LO5
    11 The Particle Filter + Sheet 7 (Discrete Filter, Particle Filter Implementation in Python) Chapter 8, Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press, 2000 LO5
    12 Mapping with Known Poses + Sheet 9 (Mapping with Known Poses in Python) Chapter 9, Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press, 2000 LO5
    13 SLAM Chapter 10, Probabilistic Robotics, Sebastian Thrun, Wolfram Burgard and Dieter Fox, MIT Press, 2000 LO2
    14 Working on a Project LO1
    15 Working on a Project LO1
    16 Final Exam - -

     

    Ders Kitabı Probabilistic Robotics Sebastian Thrun Wolfram Burgard and Dieter Fox MIT Press 2000
    Computational Principles of Mobile Robotics Gregory Dudek and Michael Jenkin 2nd Edition Cambridge University Press 2010.
    Önerilen Okumalar/Materyaller Introduction to Autonomous Mobile Robots Roland Siegwart and Illah R. Nourbaksh 2004 Handbook of Robotics Bruno Sciilano and Oussama Khatib
    Matrix Cookbook
    Hands -on Python: A Tutorial Introduction for Beginners
    Andrew N. Harrington
    Introduction to Probability Dimitri P. Bertsekas and John N. Tsisiklis.

     

    DEĞERLENDİRME ÖLÇÜTLERİ

    Yarıyıl Aktiviteleri Sayı Katkı Payı % LO1 LO2 LO3 LO4 LO5
    Ödev 1 50 X X X X X
    Proje 1 25 X X X X X
    Final Sınavı 1 25 X X X
    Toplam 3 100

     

    AKTS / İŞ YÜKÜ TABLOSU

    Yarıyıl Aktiviteleri Sayı Süre (Saat) İş Yükü
    Katılım - - -
    Teorik Ders Saati 16 3 48
    Laboratuvar / Uygulama Ders Saati - - -
    Sınıf Dışı Ders Çalışması 16 2 32
    Arazi Çalışması - - -
    Küçük Sınav / Stüdyo Kritiği - - -
    Portfolyo - - -
    Ödev 6 7 42
    Sunum / Jüri Önünde Sunum - - -
    Proje 1 38 38
    Seminer/Çalıştay - - -
    Sözlü Sınav - - -
    Ara Sınavlar - - -
    Final Sınavı 1 20 20
        Toplam 180

     

    DERSİN ÖĞRENME ÇIKTILARININ PROGRAM YETERLİLİKLERİ İLE İLİŞKİSİ

    # PC Alt Program Yeterlilikleri / Çıktıları * Katkı Düzeyi
    1 2 3 4 5
    1

    Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.

    1

    Mathematics

    2

    Science

    3

    Basic Engineering

    4

    Computation

    5

    Related engineering discipline-specific topics

    LO1
    6

    The ability to apply this knowledge to solve complex engineering problems

    2

    Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.

    LO2 LO4
    3

    Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.

    1

    Ability to design creative solutions to complex engineering problems

    LO3
    2

    Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions

    LO5
    4

    Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.

    5

    Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.

    1

    Literature research for the study of complex engineering problems

    2

    Designing experiments

    3

    Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results

    6

    Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.

    1

    Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals

    2

    Awareness of the legal implications of engineering solutions

    7

    Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.

    1

    Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility

    2

    Awareness of being impartial and inclusive of diversity, without discriminating on any subject

    8

    Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).

    1

    Ability to work individually and within the discipline

    2

    Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)

    9

    Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.

    1

    Ability to communicate verbally

    2

    Ability to communicate effectively in writing

    10

    Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.

    1

    Knowledge of business practices such as project management and economic feasibility analysis

    2

    Awareness of entrepreneurship and innovation

    11

    Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.

    *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest


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