HOME INSTITUTIONAL INFORMATIONINFORMATION ON DEGREE PROGRAMMES Computer ProgrammingCERTIFICATE PROGRAMMESUSEFUL INFORMATION, RESOURCES & SERVICES FOR STUDENTSUSEFUL LINKS AND DOCUMENTSADITIONAL & SUPPORTING INFORMATION

SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code Course Name Year Semester Theoretical Practical Credit ECTS
50613METOZ-BLP0192 Object Oriented Programming 1 Spring 2 1 3 4
Course Type : Compulsory
Cycle: Associate      TQF-HE:5. Master`s Degree      QF-EHEA:Short Cycle      EQF-LLL:5. Master`s Degree
Language of Instruction: Turkish
Prerequisities and Co-requisities: N/A
Mode of Delivery: Face to face
Name of Coordinator: Instructor GÜLSÜM KAMER
Dersin Öğretim Eleman(lar)ı: Instructor GÜLSÜM KAMER
Dersin Kategorisi: Programme Specific

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives: The aim of this course is to teach the concepts of object oriented programming and to develop object oriented programs with Python programming language.
Course Content: Preparing Python development environment, basic data types and variables, strings and strings operations, using decision and loop structures, working with lists, tuples, dictionaries and sets, functions, modules, error management, file operations, object oriented programming logic, classes and members, inheritancel

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:
Knowledge (Described as Theoritical and/or Factual Knowledge.)
  1) Defines the basic principles of object oriented programming.
  2) Learns the basics of inheritance, polymorphism, abstraction and encapsulation.
Skills (Describe as Cognitive and/or Practical Skills.)
  1) Makes the necessary software installations for programming.
  2) Prepares an application with the basic codes of the programming language.
  3) Prepares an application by using functions in programming language.
  4) Designs programming projects with a modular and easy to manage approach.
Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)

Weekly Course Schedule

Week Subject
Materials Sharing *
Related Preparation Further Study
1) Setting up the software for object oriented programming Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
2) Basic data types and variables Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
3) Strings and string operations Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
4) Decision control statements Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
5) Loop control statements Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
6) List, Tuple, Dictionary, Set Operations Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
7) Standard functions, user defined functions Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
8) Midterm
9) Standard modules, user defined modules Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
10) Error catch and error management Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
11) Working with files and file operations Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
12) Object oriented programming with Python Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
13) Identification and use of class, members Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
14) Definition of inheritance, overriding, overloading Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
15) Sample applications of inheritance, overriding, overloading concepts Volkan Taşçı, Python Eğitim Kitabı, Dikeyeksen Yayın Dağıtım, 2019. Reading the related chapter and other resources to be obtained
16) Final exam
*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks: Volkan Taşçı, 2019; Python Eğitim Kitabı, 1.Baskı, Dikeyeksen Yayın Dağıtım
References: Onur Sevli, 2017; Python 3, 1.Baskı, Kodlab Yayınları
Bülent Çobanoğlu, 2018; Herkes için Python, Pusula Yayıncılık
Gökhan Su, 2018; Python Öğreniyorum, 1.Baskı, Kodlab Yayınları
Timur Karaçay (Prof. Dr.), 2017; Yeni Başlayanlar için Python 3 Temel Kavramlar, 3. Baskı, Seçkin Yayınevi
Ahmet Aksoy (Prof.Dr.), 2016; Python, 2.Baskı, Abaküs Kitap

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

(The matrix below shows how the course learning outcomes (CLOs) associates with programme learning outcomes (both KPLOs & SPLOs) and, if exist, the level of quantitative contribution to them.)

Relationship Between CLOs & PLOs

(KPLOs and SPLOs are the abbreviations for Key & Sub- Programme Learning Outcomes, respectively. )
CLOs/PLOs KPLO 1 KPLO 2 KPLO 3 KPLO 4 KPLO 5
1 2 3 4 5 6 1 2 3 4 5 6 1 2 3 4 5 6 7 8 9 10 1 2 3 4 1 2 3 4 5 6 7 8 9
CLO1
CLO2
CLO3
CLO4
CLO5
CLO6

Level of Contribution of the Course to PLOs

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Programme Learning Outcomes Contribution Level (from 1 to 5)
1) Explains the basic, theoretical and practical knowledge related to the field of computer programming. 5
2) Knows the techniques, tools and information technologies necessary to develop applications related to the field. 3
3) Produces solutions by using the theoretical knowledge learned. 5
4) Applies the theoretical knowledge learned in business life for a semester. 5
5) Acquires the competencies defined as the institutional outcomes of Beykoz University on the basic level, inline with the expectations of business world and the society. 5

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Teaching and Learning Methods defined at the Programme Level
Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Case Study
Problem Solving
Demonstration
Views
Laboratory
Reading
Homework
Project Preparation
Thesis Preparation
Peer Education
Seminar
Technical Visit
Course Conference
Brain Storming
Questions Answers
Individual and Group Work
Role Playing-Animation-Improvisation
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)
Aassessment and evaluation Methods defined at the Programme Level
Assessment and Evaluation Methods defined for the Course
Midterm
Presentation
Final Exam
Quiz
Report Evaluation
Homework Evaluation
Oral Exam
Thesis Defense
Jury Evaluation
Practice Exam
Evaluation of Implementation Training in the Workplace
Active Participation in Class
Participation in Discussions

Relationship Between CLOs & Teaching-Learning, Assesment-Evaluation Methods of the Course

(The matrix below shows the teaching-learning and assessment-evaluation methods designated for the course unit in relation to the course learning outcomes.)
LEARNING & TEACHING METHODS
COURSE LEARNING OUTCOMES
ASSESMENT & EVALUATION METHODS
CLO1 CLO2 CLO3 CLO4 CLO5 CLO6
-Lectures -Midterm
-Discussion -Presentation
-Case Study -Final Exam
-Problem Solving -Quiz
-Demonstration -Report Evaluation
-Views -Homework Evaluation
-Laboratory -Oral Exam
-Reading -Thesis Defense
-Homework -Jury Evaluation
-Project Preparation -Practice Exam
-Thesis Preparation -Evaluation of Implementation Training in the Workplace
-Peer Education -Active Participation in Class
-Seminar - Participation in Discussions
-Technical Visit
-Course Conference
-Brain Storming
-Questions Answers
-Individual and Group Work
-Role Playing-Animation-Improvisation
-Active Participation in Class

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods # of practice per semester Level of Contribution
Quizzes 2 % 20.00
Midterms 1 % 30.00
Semester Final Exam 1 % 50.00
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities # of Activities per semester Duration (hour) Total Workload
Course 0 0 0
Laboratory 14 4 56
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 0 0 0
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 1 10 10
Total Workload of Teaching & Learning Activities - - 66
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities # of Activities per semester Duration (hour) Total Workload
Quizzes 2 10 20
Midterms 1 12 12
Semester Final Exam 1 15 15
Total Workload of Assesment & Evaluation Activities - - 47
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) 113
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) 4