Skip to main content

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to ALGORITHM with PYTHON-Spring Semester2+024
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelShort Cycle (Associate's Degree)
Course TypeElective
Course CoordinatorLect. Tayyar TEPE
Name of Lecturer(s)Lect. Zafer AK
Assistant(s)
AimThe aim of this course is to provide students with knowledge about basic algorithms and problem solving structures and to gain the ability to design algorithms using these basic structures and to perform these algorithms with the Python programming language when they encounter a problem.
Course ContentThis course contains; Communication With The User: Data Exchange,Communication With The User: Data Exchange,Condition-Related Situations In Python,Condition-Related Situations In Python ,Loops In Python,Loops In Python,Lists In Python,Lists In Python,Bundles and dictionaries,Packages and dictionaries,Functions, Modules In Python,Functions, Modules In Python,Object-Oriented Programming-OOP (NTP),Object-Oriented Programming-OOP (NTP),Nesne Tabanlı Programlama - OOP (NTP) .
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
10, 14, 16A
Teaching Methods:10: Discussion Method, 14: Self Study Method, 16: Question - Answer Technique
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Communication With The User: Data Exchange
2Communication With The User: Data Exchange
3Condition-Related Situations In Python
4Condition-Related Situations In Python
4Loops In Python
5Loops In Python
6Lists In Python
7Lists In Python
8Bundles and dictionaries
9Packages and dictionaries
10Functions, Modules In Python
11Functions, Modules In Python
12Object-Oriented Programming-OOP (NTP)
13Object-Oriented Programming-OOP (NTP)
14Nesne Tabanlı Programlama - OOP (NTP)
Resources
• Gaddis, T., “Starting Out with Python, 3rd Edition”, Pearson, (2015) • Punch, W.F. & Enbody, R., “The Practice of Computing Using Python, 2nd Edition”, Pearson, (2013).

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Secondary and won the high school level, including current information on the basis of competence in the field of books and documents, to have the basic theoretical and practical knowledge supported with other sources.
2
Theoretical and practical knowledge acquired in the field of basic level, in an area on the same level and / or acquire the skills to use a higher level of education.
X
3
The field gain using the basic level of knowledge and skills, analyze, identify problems, interpret and evaluate the data obtained, develop solutions based on problems.
4
To conduct an independent study on the basic level in the area.
X
5
Take responsibility to solve complex problems encountered in applications related and unforeseen area.
6
To identify learning needs, the basic level of knowledge and skills to evaluate critical thinking, to meet.
7
Learning a profession or a higher level of education be able to and lifelong learning has gained consciousness.
8
Issues related to the area where thoughts have learned to transfer knowledge and skills at the level of oral and written communication.
9
Their thoughts and suggestions share for solutions to problems related to the field.
10
European Computer Driving Licence to use together with information and communication technologies.
11
In the field of social, scientific, cultural and ethical values.
12
Social justice, quality and cultural values, environmental protection, occupational health and safety issues have sufficient awareness of the universality of social rights.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14228
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report000
Term Project4520
Presentation of Project / Seminar000
Quiz000
Midterm Exam22040
General Exam22040
Performance Task, Maintenance Plan000
Total Workload(Hour)128
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(128/30)4
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to ALGORITHM with PYTHON-Spring Semester2+024
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelShort Cycle (Associate's Degree)
Course TypeElective
Course CoordinatorLect. Tayyar TEPE
Name of Lecturer(s)Lect. Zafer AK
Assistant(s)
AimThe aim of this course is to provide students with knowledge about basic algorithms and problem solving structures and to gain the ability to design algorithms using these basic structures and to perform these algorithms with the Python programming language when they encounter a problem.
Course ContentThis course contains; Communication With The User: Data Exchange,Communication With The User: Data Exchange,Condition-Related Situations In Python,Condition-Related Situations In Python ,Loops In Python,Loops In Python,Lists In Python,Lists In Python,Bundles and dictionaries,Packages and dictionaries,Functions, Modules In Python,Functions, Modules In Python,Object-Oriented Programming-OOP (NTP),Object-Oriented Programming-OOP (NTP),Nesne Tabanlı Programlama - OOP (NTP) .
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
10, 14, 16A
Teaching Methods:10: Discussion Method, 14: Self Study Method, 16: Question - Answer Technique
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Communication With The User: Data Exchange
2Communication With The User: Data Exchange
3Condition-Related Situations In Python
4Condition-Related Situations In Python
4Loops In Python
5Loops In Python
6Lists In Python
7Lists In Python
8Bundles and dictionaries
9Packages and dictionaries
10Functions, Modules In Python
11Functions, Modules In Python
12Object-Oriented Programming-OOP (NTP)
13Object-Oriented Programming-OOP (NTP)
14Nesne Tabanlı Programlama - OOP (NTP)
Resources
• Gaddis, T., “Starting Out with Python, 3rd Edition”, Pearson, (2015) • Punch, W.F. & Enbody, R., “The Practice of Computing Using Python, 2nd Edition”, Pearson, (2013).

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Secondary and won the high school level, including current information on the basis of competence in the field of books and documents, to have the basic theoretical and practical knowledge supported with other sources.
2
Theoretical and practical knowledge acquired in the field of basic level, in an area on the same level and / or acquire the skills to use a higher level of education.
X
3
The field gain using the basic level of knowledge and skills, analyze, identify problems, interpret and evaluate the data obtained, develop solutions based on problems.
4
To conduct an independent study on the basic level in the area.
X
5
Take responsibility to solve complex problems encountered in applications related and unforeseen area.
6
To identify learning needs, the basic level of knowledge and skills to evaluate critical thinking, to meet.
7
Learning a profession or a higher level of education be able to and lifelong learning has gained consciousness.
8
Issues related to the area where thoughts have learned to transfer knowledge and skills at the level of oral and written communication.
9
Their thoughts and suggestions share for solutions to problems related to the field.
10
European Computer Driving Licence to use together with information and communication technologies.
11
In the field of social, scientific, cultural and ethical values.
12
Social justice, quality and cultural values, environmental protection, occupational health and safety issues have sufficient awareness of the universality of social rights.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 40
Rate of Final Exam to Success 60
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 12/11/2023 - 16:49Son Güncelleme Tarihi: 12/11/2023 - 16:50