İzmir Ekonomi Üniversitesi
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  • FACULTY OF ENGINEERING

    Department of Mechanical Engineering

    SE 113 | Course Introduction and Application Information

    Course Name
    Introduction to Programming
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    SE 113
    FALL
    2
    2
    3
    6

    Prerequisites None
    Course Language English
    Course Type Required (Core Course)
    Course Level First Cycle
    Mode of Delivery Face-To-Face / Online
    Teaching Methods and Techniques of the Course Problem Solving Q&A Application: Experiment / Laboratory / Workshop Lecture / Presentation
    National Occupational Classification Code -
    Course Coordinator
    • Dr. Öğr. Üyesi Hande Aka Uymaz
    Course Lecturer(s)
    • Dr. Öğr. Üyesi Hande Aka Uymaz
    Assistant(s) -
    Course Objectives 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.
    Learning Outcomes The students who succeeded in this course;
    Name Description PC Sub * Contribution Level
    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
    Course Description This course teaches students the basic concepts of programming using the Python programming language.
    Related Sustainable Development Goals
    -

     



    Course Category

    Core Courses
    X
    Major Area Courses
    Supportive Courses
    Media and Managment Skills Courses
    Transferable Skill Courses

     

    WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

    Week Subjects Required Materials Learning Outcome
    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. -

     

    Course Notes/Textbooks Python for Everybody: Exploring Data in Python 3 Charles Severance CreateSpace Independent Publishing Platform 978-1530051120
    Suggested Readings/Materials 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/

     

    EVALUATION SYSTEM

    Semester Activities Number Weighting LO1 LO2 LO3 LO4 LO5 LO6
    Laboratory / Application 1 30 X X X X X X
    Midterm 1 30 X X X
    Final Exam 1 40 X X X
    Total 3 100

     

    ECTS / WORKLOAD TABLE

    Semester Activities Number Duration (Hours) Workload
    Participation - - -
    Theoretical Course Hours 16 2 32
    Laboratory / Application Hours 16 2 32
    Study Hours Out of Class 14 6 84
    Field Work - - -
    Quizzes / Studio Critiques - - -
    Portfolio - - -
    Homework / Assignments - - -
    Presentation / Jury - - -
    Project - - -
    Seminar / Workshop - - -
    Oral Exams - - -
    Midterms 1 15 15
    Final Exam 1 17 17
        Total 180

     

    COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

    # PC Sub Program Competencies/Outcomes * Contribution Level
    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 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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