School/Faculty/Institute Faculty of Education
Course Code EDS 339
Course Title in English Computer Programming for Educators (Python)
Course Title in Turkish Eğitimciler için Bilgisayar Programlama (Python)
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Select
Semester Fall
Contact Hours per Week
Lecture: 2 Recitation: Lab: 2 Other:
Estimated Student Workload 109 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Co-requisites None
Expected Prior Knowledge Basic use of computer and mathematics knowledge
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To be equipped with programming skills and knowledge that enhance and support counseling practices.
Course Description This undergraduate course is tailored for prospective educators and school counselors seeking to develop programming skills specifically designed to enhance educational and counseling practices. Through this course, students will explore the application of programming in educational sciences and counseling, focusing on its potential to enhance their technology and counseling skills in the digital age. Students will engage in hands-on activities and projects, learning programming languages and techniques that enable them to design and develop educational software applications. Emphasis will be placed on creating interactive and engaging learning experiences that foster problem-solving, critical thinking, and creativity among students. By the end of the course, students will possess the necessary programming expertise to create online counseling tools and resources, empowering them to facilitate dynamic and innovative counseling environments for their future clients.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) describe programming languages and tools commonly used in educational contexts
2) apply programming skills to enhance students' counseling skills to support their clients in their counseling journey;
3) utilize programming to create interactive and engaging educational resources that foster problem-solving, critical thinking, and creativity among students;
4) demonstrate skills in utilizing programming to analyze psychoeducational data and make data-driven decisions;
5) exhibit ethical and responsible use of programming in counseling, ensuring privacy, security, and inclusivity;
6) demonstrate effective communication skills in explaining programming concepts and their applications in psychoeducational contexts and;
7) increase clients' awareness of their issues, providing tailored tools in counseling.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7
1) Matematik, tarih, ekonomi ve sosyal bilimlere maruz kalarak geniş bir temele ve entelektüel farkındalığa sahip olmak
2) İşletmenin farklı işlevsel alanlarında (muhasebe, finans, operasyon, pazarlama, strateji ve organizasyon) bilgi ve becerilere sahip olduğunu ve bunların çeşitli endüstri sektörlerindeki etkileşimlerine ilişkin bir anlayışa sahip olduğunu gösterir
3) Karmaşık teknik veya profesyonel faaliyetleri veya projeleri yönetmek için teorik bilginin yanı sıra yaratıcı, analitik ve eleştirel düşünmeyi uygular
4) İşletme sürdürülebilirliği için küresel, çevresel, ekonomik, yasal ve düzenleyici bağlamlara ilişkin bir anlayış sergiler
5) Bireysel ve mesleki etik davranış ve sosyal sorumluluk gösterir
6) Etnik, kültürel ve cinsiyet çeşitliliği değerlerine ve konularına duyarlılık gösterir
7) Bilgi, fikir, sorun ve çözümleri iletmek için yazılı ve sözlü İngilizceyi etkili bir şekilde kullanır (en azından CEFR B2 seviyesi)
8) Veri ve bilgi edinme, analiz etme, yorumlama ve raporlama konusunda beceriler gösterir
9) Problem çözme ve karar vermeyi desteklemek için bilgisayar yeterliliğini gösterir
10) Takım çalışması, liderlik ve girişimcilik becerilerini gösterir
11) Yüksek derecede özerklikle ileri çalışmalar için gerekli öğrenme becerilerini sergiler

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Matematik, tarih, ekonomi ve sosyal bilimlere maruz kalarak geniş bir temele ve entelektüel farkındalığa sahip olmak N
2) İşletmenin farklı işlevsel alanlarında (muhasebe, finans, operasyon, pazarlama, strateji ve organizasyon) bilgi ve becerilere sahip olduğunu ve bunların çeşitli endüstri sektörlerindeki etkileşimlerine ilişkin bir anlayışa sahip olduğunu gösterir N
3) Karmaşık teknik veya profesyonel faaliyetleri veya projeleri yönetmek için teorik bilginin yanı sıra yaratıcı, analitik ve eleştirel düşünmeyi uygular N
4) İşletme sürdürülebilirliği için küresel, çevresel, ekonomik, yasal ve düzenleyici bağlamlara ilişkin bir anlayış sergiler N
5) Bireysel ve mesleki etik davranış ve sosyal sorumluluk gösterir N
6) Etnik, kültürel ve cinsiyet çeşitliliği değerlerine ve konularına duyarlılık gösterir N
7) Bilgi, fikir, sorun ve çözümleri iletmek için yazılı ve sözlü İngilizceyi etkili bir şekilde kullanır (en azından CEFR B2 seviyesi) S Sunum
8) Veri ve bilgi edinme, analiz etme, yorumlama ve raporlama konusunda beceriler gösterir S Derse Katılım
9) Problem çözme ve karar vermeyi desteklemek için bilgisayar yeterliliğini gösterir N
10) Takım çalışması, liderlik ve girişimcilik becerilerini gösterir S Derse Katılım
11) Yüksek derecede özerklikle ileri çalışmalar için gerekli öğrenme becerilerini sergiler S Derse Katılım
Prepared by and Date TUNA ÇAKAR , February 2024
Course Coordinator MELİKE ACAR
Semester Fall
Name of Instructor PAKER DOĞU ÖZDEMİR

Course Contents

Hafta Konu
1) Introduction to computer programming
2) Fundamental concepts for algorithms
3) Basic programming
4) Variables
5) Calculations
6) Conditionals
7) Loops
8) Functions
9) Methods
10) Lists
11) Using numpy for numeric calculations
12) Using pandas for data tables
13) Using matplotlib for data visualization
14) General Review
15) Final Project
16) Final Project
Required/Recommended ReadingsPython Book for Data Science, Jake VanderPlas https://jakevdp.github.io/PythonDataScienceHandbook/
Teaching MethodsFlipped Learning
Homework and Projects-
Laboratory Workyes
Computer UseThe course heavily requires use of computers, thus students are expected to bring their own computers to use.
Other Activities-
Assessment Methods
Assessment Tools Count Weight
Devam 14 % 15
Laboratuar 14 % 25
Uygulama 4 % 40
Projeler 1 % 20
TOTAL % 100
Course Administration cakart@mef.edu.tr

1. Active Participation: Student participation in every aspect of the course is essential. Active participation requires attendance, research, reading, reflection, participation in class discussions, sharing observations made in K-12 schools and classrooms, asking questions and giving feedback to students who are making presentations. 2. Attendance: Attendance in class activities is very important. Working collaboratively on projects/research/reports/presentations is an important part of a teacher/counselor's role. Class participation/collaborative produce grades will only be given to students who attend the class and work with their classmates on the projects. 3. Accommodations: Any student needing special accommodations (testing, seating, etc.) must notify the instructor within the first two weeks of class. 4. Academic Integrity: In meeting course requirements, honesty is essential and students are expected to abide by MEF policy of academic integrity, prohibiting cheating, plagiarizing, or otherwise falsifying results of any work. This applies to exams, papers, reports, and all other assignments. 5. Email Addresses: Emails assigned by the university must be used to communicate by the instructor and classmates. 6. If you miss more than 30% of the course (that is more than 12 hours), you forfeit your right to do the final project and will receive a grade of FC. Rules for attendance: The student must attend at least 70% of the classes. Statement on academic dishonesty and plagiarism: Law on Higher Education Article 54.

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Ders Saati 14 1 2 1 56
Laboratuvar 14 0 2 28
Ödevler 5 5 0.5 27.5
Total Workload 111.5
Total Workload/25 4.5
ECTS 5