İzmir Ekonomi Üniversitesi
  • TÜRKÇE

  • 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
    Course Level
    First Cycle
    Mode of Delivery -
    Teaching Methods and Techniques of the Course Problem Solving
    Q&A
    Application: Experiment / Laboratory / Workshop
    Lecture / Presentation
    National Occupation Classification -
    Course Coordinator
    Course Lecturer(s)
    Assistant(s) -
    Course Objectives The main objective of this course is to provide the students with basic skills of programming. Python programming language will be used. Topics include the following concepts: fundamental types, variables, statements, control flow structures, functions, file operations and classes.
    Learning Outcomes
    #
    Content
    PC Sub
    * Contribution Level
    1
    2
    3
    4
    5
    1Will be able to develop programs in Python programming language.2.1 denemex
    2Will be able to use control structures (decision and loop statements) in Python language.
    3Will be able to design functions in Python language.
    4Will be able to use several data structures (strings, lists, dictionaries) in Python language.
    5Will be able to handle file input/output operations using Python programming language.
    6Will be able to define classes using Python programming language
    7-
    8-
    Course Description This course introduces the students to the fundamental concepts of programming using Python programming language.

     



    Course Category

    Core Courses
    Major Area Courses
    Supportive Courses
    Media and Management Skills Courses
    Transferable Skill Courses

     

    WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

    Week Subjects Related Preparation Learning Outcome
    1 Introduction to programming in Python. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 1.
    2 Fundamental data types, constants, variables, operators; LAB#1. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 2.
    3 Input statements, algorithm, pseudocode; LAB#2. Severance, Python for Everybody: Exploring Data in Python 3, Chapters 3 and 5.
    4 Flow control: Conditional execution; LAB#3. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 3.
    5 Flow control: Loop/repetition statements, for, while; LAB#4. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 5.
    6 Flow control: Nested loops, break, continue; LAB#5. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 5.
    7 Functions; LAB#6, Midterm exam 1. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 4.
    8 Midterm exam.
    9 Lists; LAB#7. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 8.
    10 Dictionaries; LAB#8. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 9.
    11 File handling: Input/output operations; LAB#9. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 7.
    12 Classes and objects: Using objects; LAB#10. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 14.
    13 Classes and objects: Defining classes. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 14.
    14 Lab quiz.
    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

     

    EVALUATION SYSTEM

    Semester Activities Number Weigthing LO 1 LO 2 LO 3 LO 4 LO 5 LO 6 LO 7 LO 8
    Participation
    1
    10
    X
    Laboratory / Application
    X
    Field Work
    X
    Quizzes / Studio Critiques
    1
    25
    Portfolio
    X
    Homework / Assignments
    X
    Presentation / Jury
    X
    Project
    Seminar / Workshop
    Oral Exams
    Midterm
    1
    25
    XX
    Final Exam
    1
    40
    Total
    22031

    Weighting of Semester Activities on the Final Grade
    3
    60
    Weighting of End-of-Semester Activities on the Final Grade
    1
    40
    Total

    ECTS / WORKLOAD TABLE

    Semester Activities Number Duration (Hours) Workload
    Theoretical Course Hours
    (Including exam week: 16 x total hours)
    16
    2
    32
    Laboratory / Application Hours
    (Including exam week: '.16.' x total hours)
    16
    2
    32
    Study Hours Out of Class
    14
    6
    84
    Field Work
    0
    Quizzes / Studio Critiques
    1
    0
    Portfolio
    0
    Homework / Assignments
    0
    Presentation / Jury
    0
    Project
    0
    Seminar / Workshop
    0
    Oral Exam
    0
    Midterms
    1
    10
    10
    Final Exam
    1
    12
    12
        Total
    170

     

    COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

    #
    PC Sub Program Competencies/Outcomes
    * Contribution Level
    1
    2
    3
    4
    5
    1

    To have adequate knowledge in Mathematics, Mathematics based physics, statistics and linear algebra and Mechanical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

    -
    -
    -
    -
    -
    2

    To be able to identify, define, formulate, and solve complex Mechanical Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

    -
    -
    -
    X
    -
    3

    To be able to design a thermal and mechanical system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

    -
    -
    X
    -
    -
    4

    To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in engineering applications.

    -
    -
    -
    -
    -
    5

    To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Mechanical Engineering research topics.

    -
    -
    -
    -
    -
    6

    To be able to work efficiently in Mechanical Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

    -
    -
    -
    -
    -
    7

    To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

    -
    -
    -
    -
    -
    8

    To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions.

    -
    -
    -
    -
    -
    9

    To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

    -
    -
    -
    -
    -
    10

    To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

    -
    -
    -
    -
    -
    11

    To be able to collect data in the area of Mechanical Engineering, and to be able to communicate with colleagues in a foreign language.

    -
    -
    -
    -
    -
    12

    To be able to speak a second foreign language at a medium level of fluency efficiently.

    -
    -
    -
    -
    -
    13

    To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechanical Engineering.

    -
    -
    -
    -
    X

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

     


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