FACULTY OF ENGINEERING

Department of Aerospace 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
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 The students who succeeded in this course;
  • Will be able to develop programs in Python programming language.
  • Will be able to use control structures (decision and loop statements) in Python language.
  • Will be able to design functions in Python language.
  • Will be able to use several data structures (strings, lists, dictionaries) in Python language.
  • Will be able to handle file input/output operations using Python programming language.
  • Will be able to define classes using Python programming language
Course Description Course Content 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
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 Character strings. Severance, Python for Everybody: Exploring Data in Python 3, Ünite 6
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 Midterm 2.
14 Classes and objects: Defining classes. Severance, Python for Everybody: Exploring Data in Python 3, Chapter 14.
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
Participation
15
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
2
50
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
18
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
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
2
10
20
Final Exam
1
12
12
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have theoretical and practical knowledge that have been acquired in the area of Mathematics, Natural Sciences, and Aerospace Engineering.

2

To be able to assess, analyze and solve problems by using the scientific methods in the area of Aerospace Engineering.

3

To be able to design a complex system, process or product under realistic limitations and requirements by using modern design techniques.

4

To be able to develop, select and use novel tools and techniques required in the area of Aerospace Engineering.

5

To be able to design and conduct experiments, gather data, analyze and interpret results.

6

To be able to develop communication skills, ad working ability in multidisciplinary teams.

7

To be able to communicate effectively in verbal and written Turkish; writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable 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 Aerospace Engineering solutions.

9

To be aware of 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 Aerospace Engineering, and to be able to communicate with colleagues in a foreign language (‘‘European Language Portfolio Global Scale’’, Level B1).

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 Aerospace Engineering.

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

 


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