İzmir Ekonomi Üniversitesi
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    SE 113 | Ders Tanıtım Bilgileri

    Dersin Adı
    Introduction to Programming
    Kodu
    Yarıyıl
    Teori
    (saat/hafta)
    Uygulama/Lab
    (saat/hafta)
    Yerel Kredi
    AKTS
    SE 113
    FALL
    2
    2
    3
    6

    Ön-Koşul(lar) None
    Dersin Dili English
    Dersin Türü Zorunlu
    Dersin Düzeyi Lisans
    Dersin Veriliş Şekli Face-To-Face / Online
    Dersin Öğretim Yöntem ve Teknikleri Problem Solving Q&A Application: Experiment / Laboratory / Workshop Lecture / Presentation
    Ulusal Meslek Sınıflandırma Kodu -
    Dersin Koordinatörü
    • Dr. Öğr. Üyesi Hande Aka Uymaz
    Öğretim Eleman(lar)ı
    • Dr. Öğr. Üyesi Hande Aka Uymaz
    Yardımcı(ları) -
    Dersin Amacı The main purpose of this course is to provide students with basic programming skills. Python programming language will be used. Topics cover the following concepts: basic types, variables, expressions, flow control structures, functions, file operations, and classes.
    Öğrenme Çıktıları Bu dersi başarıyla tamamlayabilen öğrenciler;
    Ad Açıklama PC Alt * Katkı Düzeyi
    1 2 3 4 5
    LO1 Will be able to develop programs using Python. 1.4 X
    LO2 Will be able to use flow control structures (decision and loop statements) in Python language. 1.5 X
    LO3 Will be able to design functions in Python language. 1.6 X
    LO4 Will be able to use various data structures (arrays, lists, dictionaries) in Python language. 1.6 X
    LO5 Will be able to carry out file input/output operations using the Python programming language. 1.5 X
    LO6 Will be able to define classes using Python programming language. 1.5 X
    Ders Tanımı This course teaches students the basic concepts of programming using the Python programming language.
    Dersin İlişkili Olduğu Sürdürülebilir Kalkınma Amaçları
    -

     



    Dersin Kategorisi

    Temel Ders
    X
    Uzmanlık/Alan Dersleri
    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 to programming with Python. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 1. LO1
    2 Basic data types, constants, variables, operators; LAB#1. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 2. LO1
    3 Input expressions, algorithm, pseudocode; LAB#2. Severance, Python for Everybody: Exploring Data in Python 3, Chapters 3 ve 5. LO1
    4 Flow control: Conditional operation; LAB#3. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 3. LO2
    5 Flow control: Loop/iteration statements, for, while; LAB#4. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 5. LO2
    6 Flow control: Nested loops, break, continue; LAB#5. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 5. LO2
    7 Functions; LAB#6. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 4. LO3
    8 Midterm -
    9 Strings; LAB#7. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 6. LO4
    10 File handling: Input/output operations; LAB#8. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 7. LO5
    11 Listsr; LAB#9. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 8. LO4
    12 Dictionaries; LAB#10. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 9. LO4
    13 Classes and objects: Using objects; LAB#11. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 14. LO6
    14 Classes and objects: Defining classes. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 14. LO6
    15 Review. -
    16 Final exam. -

     

    Ders Kitabı Python for Everybody: Exploring Data in Python 3 Charles Severance CreateSpace Independent Publishing Platform 978-1530051120
    Önerilen Okumalar/Materyaller Python Programming Fundamentals Kent D. Lee ISBN 978-1-4471-6642-9
    The Python Language Reference https://docs.python.org/3/reference/index.html
    Interactive Python Tutorial https://www.learnpython.org/

     

    DEĞERLENDİRME ÖLÇÜTLERİ

    Yarıyıl Aktiviteleri Sayı Katkı Payı % LO1 LO2 LO3 LO4 LO5 LO6
    Laboratuvar / Uygulama 1 30 X X X X X X
    Ara Sınav 1 30 X X X
    Final Sınavı 1 40 X X X
    Toplam 3 100

     

    AKTS / İŞ YÜKÜ TABLOSU

    Yarıyıl Aktiviteleri Sayı Süre (Saat) İş Yükü
    Katılım - - -
    Teorik Ders Saati 16 2 32
    Laboratuvar / Uygulama Ders Saati 16 2 32
    Sınıf Dışı Ders Çalışması 14 6 84
    Arazi Çalışması - - -
    Küçük Sınav / Stüdyo Kritiği - - -
    Portfolyo - - -
    Ödev - - -
    Sunum / Jüri Önünde Sunum - - -
    Proje - - -
    Seminer/Çalıştay - - -
    Sözlü Sınav - - -
    Ara Sınavlar 1 15 15
    Final Sınavı 1 17 17
        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

    LO1
    5

    related engineering discipline-specific topics

    LO2 LO5 LO6
    6

    the ability to apply this knowledge to solve complex engineering problems.

    LO3 LO4
    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.

    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.

    2

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

    4

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

    5

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

    1

    Literature research far 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 lmpact of Engineering Practices: Knowledge of the impacts of engineering practices on s.ociety, health and safety. ttıe economy, sustainability and the environment \ıVlthin the context of the UN Sustainable Development GoaJs; awareness of the legal implications of engineering solutions.

    1

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

    2

    Awareness of the legal implications of engineering solutions

    7

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

    1

    Acting in accordance with engineering professional principles. information about ethical responsibility

    2

    Awareness of being impartial and indusive of diversity, without disaiminating on any subject.

    8

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

    1

    lndividually and within the discipline

    2

    Ability to work effectivefy as a team member or leader in mutti-disciplinary 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

    Verbal

    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 tedınological changes

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


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