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Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to ALGORITHM with PYTHON-Fall 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
Having adequate infrastructure in the fields of accounting, law, basic management, management and field; To gain theoretical and practical knowledge in these areas.
2
To be able to interpret and evaluate data, to identify and analyze data using the basic knowledge and skills acquired in the field, and to be able to develop evidence-based solutions.
3
To be able to design, plan and carry out projects using professional environments and tools related to the field.
4
To be able to produce solutions, to take responsibilities in teams or to be able to do individual work in case of encountering unforeseen situations in field related applications.
5
To gain the application skills by examining the processes related to the field of public and private sector organizations on site.
6
Awareness of the necessity of life-long learning; To follow the developments in science and technology and to gain the consciousness of renewing itself continuously.
7
To acquire the ability to use computer software and hardware at the basic level required by the field.
8
Having a level of foreign language knowledge that can follow the innovations in the field of judge and field to effective communication techniques.
9
To be able to identify and effectively use the modern techniques, tools and information technologies required for applications related to the field.
10
To have a conscious of historical values, social responsibility, universal, social and professional ethics.
11
Business law and business security, environmental knowledge, tax law, professional legislation, other related laws and regulations, principles and concepts of accounting, international standards and quality conscious.

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-Fall 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
Having adequate infrastructure in the fields of accounting, law, basic management, management and field; To gain theoretical and practical knowledge in these areas.
2
To be able to interpret and evaluate data, to identify and analyze data using the basic knowledge and skills acquired in the field, and to be able to develop evidence-based solutions.
3
To be able to design, plan and carry out projects using professional environments and tools related to the field.
4
To be able to produce solutions, to take responsibilities in teams or to be able to do individual work in case of encountering unforeseen situations in field related applications.
5
To gain the application skills by examining the processes related to the field of public and private sector organizations on site.
6
Awareness of the necessity of life-long learning; To follow the developments in science and technology and to gain the consciousness of renewing itself continuously.
7
To acquire the ability to use computer software and hardware at the basic level required by the field.
8
Having a level of foreign language knowledge that can follow the innovations in the field of judge and field to effective communication techniques.
9
To be able to identify and effectively use the modern techniques, tools and information technologies required for applications related to the field.
10
To have a conscious of historical values, social responsibility, universal, social and professional ethics.
11
Business law and business security, environmental knowledge, tax law, professional legislation, other related laws and regulations, principles and concepts of accounting, international standards and quality conscious.

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 - 16:58Son Güncelleme Tarihi: 12/11/2023 - 16:58