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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
Students identify the basic concepts and gain knowledge related to banking and insurance.
X
2
Students acquire the current knowledge concerning the sector practices.
3
Students make a list of fundamental conceptual knowledge in the practical application of International Banking and Finance techniques.
4
Students explain procedures and principles to follow in banking and insurance transactions.
5
Students convey knowledge concerning financial markets and institutions.
6
Students identify and define transaction types in the banking and insurance sector.
7
Students rationally determine risks to be faced by the parties in both sectors.
8
Students explain risk types to occur in the sector and hedging techniques.
9
Students apply the acquired knowledge regarding the field of banking and insurance to their studies.
10
Students are fully aware that they need to adapt to the changes in the sector considering lifelong learning approach.
11
Students benefit from the domain knowledge and acquired skills for informing partners or partner institutions.
12
Students set up social responsibility projects related to the field they work in.
13
Students communicate with their colleagues and customers according to the rules of professional ethics.
14
Students effectively apply the acquired knowledge in the field of banking and insurance to their studies or professional lives.
15
Students discover asymmetric information problems to occur in the sector and indicate the necessary measures which need to be taken to prevent those kinds of problems.
X

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
Students identify the basic concepts and gain knowledge related to banking and insurance.
X
2
Students acquire the current knowledge concerning the sector practices.
3
Students make a list of fundamental conceptual knowledge in the practical application of International Banking and Finance techniques.
4
Students explain procedures and principles to follow in banking and insurance transactions.
5
Students convey knowledge concerning financial markets and institutions.
6
Students identify and define transaction types in the banking and insurance sector.
7
Students rationally determine risks to be faced by the parties in both sectors.
8
Students explain risk types to occur in the sector and hedging techniques.
9
Students apply the acquired knowledge regarding the field of banking and insurance to their studies.
10
Students are fully aware that they need to adapt to the changes in the sector considering lifelong learning approach.
11
Students benefit from the domain knowledge and acquired skills for informing partners or partner institutions.
12
Students set up social responsibility projects related to the field they work in.
13
Students communicate with their colleagues and customers according to the rules of professional ethics.
14
Students effectively apply the acquired knowledge in the field of banking and insurance to their studies or professional lives.
15
Students discover asymmetric information problems to occur in the sector and indicate the necessary measures which need to be taken to prevent those kinds of problems.
X

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: 11/11/2023 - 23:58Son Güncelleme Tarihi: 11/11/2023 - 23:58