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 Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
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 Exam
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
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
14
6
84
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
2
10
Final Exams
1
12
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To be able master and use fundamental phenomenological and applied physical laws and applications,

2

To be able to identify the problems, analyze them and produce solutions based on scientific method,

3

To be able to collect necessary knowledge, able to model and self-improve in almost any area where physics is applicable and able to criticize and reestablish his/her developed models and solutions,

4

To be able to communicate his/her theoretical and technical knowledge both in detail to the experts and in a simple and understandable manner to the non-experts comfortably,

5

To be familiar with software used in area of physics extensively and able to actively use at least one of the advanced level programs in European Computer Usage License,

X
6

To be able to develop and apply projects in accordance with sensitivities of society and behave according to societies, scientific and ethical values in every stage of the project that he/she is part in,

X
7

To be able to evaluate every all stages effectively bestowed with universal knowledge and consciousness and has the necessary consciousness in the subject of quality governance,

8

To be able to master abstract ideas, to be able to connect with concreate events and carry out solutions, devising experiments and collecting data, to be able to analyze and comment the results,

9

To be able to refresh his/her gained knowledge and capabilities lifelong, have the consciousness to learn in his/her whole life,

X
10

To be able to conduct a study both solo and in a group, to be effective actively in every all stages of independent study, join in decision making stage, able to plan and conduct using time effectively.

11

To be able to collect data in the areas of Physics and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1).

12

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

13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

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