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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
Know the basic concepts of Public Relations and Publicity disciplines and the basic theories of these disciplines.
2
Public Relations and Publicity These data can be analyzed in various dimensions.
3
It uses expert knowledge and participates in decision-making mechanisms of enterprises. It identifies the problems encountered and suggests a solution.
4
It analyzes the institutions and prepares a communication plan in line with the needs of the institutions.
X
5
It can solve the problems caused by taking responsibility when necessary in projects related to the field.
6
They can participate in an organization set up for field-related projects, lead the project, manage operational plans and processes.
7
Analyzes the theoretical and factual problems of Public Relations and Publicity disciplines and subdisciplines with scientific methods and analyzes the findings.
8
As a principle, it adopts the principle of life-long learning. They follow developments, innovations, ideas, methods and changes in their field and use them effectively in their own work.
9
Uses fluent and correct Turkology in scientific and professional researches. At least one foreign language can read and understand.
10
Uses new communication technologies in their professional and scientific work and constantly monitor developments in new communication technologies.
11
Acts in ethical codes in professional and scientific researches.
12
The universality of social rights, social justice, quality and cultural values, and the protection of the environment, have a consciousness of people and society

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
Know the basic concepts of Public Relations and Publicity disciplines and the basic theories of these disciplines.
2
Public Relations and Publicity These data can be analyzed in various dimensions.
3
It uses expert knowledge and participates in decision-making mechanisms of enterprises. It identifies the problems encountered and suggests a solution.
4
It analyzes the institutions and prepares a communication plan in line with the needs of the institutions.
X
5
It can solve the problems caused by taking responsibility when necessary in projects related to the field.
6
They can participate in an organization set up for field-related projects, lead the project, manage operational plans and processes.
7
Analyzes the theoretical and factual problems of Public Relations and Publicity disciplines and subdisciplines with scientific methods and analyzes the findings.
8
As a principle, it adopts the principle of life-long learning. They follow developments, innovations, ideas, methods and changes in their field and use them effectively in their own work.
9
Uses fluent and correct Turkology in scientific and professional researches. At least one foreign language can read and understand.
10
Uses new communication technologies in their professional and scientific work and constantly monitor developments in new communication technologies.
11
Acts in ethical codes in professional and scientific researches.
12
The universality of social rights, social justice, quality and cultural values, and the protection of the environment, have a consciousness of people and society

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 - 00:38Son Güncelleme Tarihi: 12/11/2023 - 00:52