Psychology | |||||
Bachelor | Length of the Programme: 4 | Number of Credits: 240 | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF: Level 6 |
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 | Seçiniz | ||||||
Semester | Fall | ||||||
Contact Hours per Week |
|
||||||
Estimated Student Workload | 109 hours per semester | ||||||
Number of Credits | 5 ECTS | ||||||
Grading Mode | Standard Letter Grade | ||||||
Pre-requisites | None | ||||||
Expected Prior Knowledge | Basic use of computer and mathematics knowledge | ||||||
Co-requisites | None | ||||||
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 Description in Turkish | Bu lisans düzeyindeki ders, eğitim ve danışmanlık uygulamalarını geliştirmek için özel olarak tasarlanmış programlama becerilerine sahip olmak isteyen potansiyel eğitimciler ve okul psikolojik danışmanları için uyarlanmıştır. Bu ders aracılığıyla öğrenciler, dijital çağda teknoloji ve danışmanlık becerilerini geliştirme potansiyeline odaklanarak eğitim bilimleri ve danışmanlıkta programlama uygulamasını keşfedeceklerdir. Öğrenciler, programlama dillerini ve tekniklerini öğrenerek el becerisi gerektiren etkinlikler ve projelerle meşgul olacaklar ve eğitsel yazılım uygulamalarını tasarlamak ve geliştirmek için gerekli bilgi ve beceriyi kazanacaklar. Vurgu, öğrenciler arasında problem çözme, eleştirel düşünme ve yaratıcılığı teşvik eden etkileşimli ve ilgi çekici öğrenme deneyimleri yaratmaya yönelik olacaktır. Kursun sonunda öğrenciler, çevrimiçi danışmanlık araçları ve kaynakları oluşturmak için gerekli programlama uzmanlığına sahip olacak ve gelecekteki danışanlarında dinamik ve yenilikçi danışmanlık ortamlarını kolaylaştırma konusunda onları güçlendirecektir. |
Course Learning Outcomes and CompetencesUpon 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) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | |||||||
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | |||||||
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | |||||||
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | |||||||
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | |||||||
6) Internalization and dissemination of professional ethical standards. | |||||||
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | |||||||
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | |||||||
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | |||||||
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | |||||||
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | |||||||
12) Ability to acquire knowledge independently, and to plan one’s own learning. | |||||||
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
N None | S Supportive | H Highly Related |
Program Outcomes and Competences | Level | Assessed by | |
1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
6) | Internalization and dissemination of professional ethical standards. | N | |
7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
Prepared by and Date | TUNA ÇAKAR , February 2024 |
Course Coordinator | MELİKE ACAR |
Semester | Fall |
Name of Instructor | PAKER DOĞU ÖZDEMİR |
Week | Subject |
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 Readings | Python Book for Data Science, Jake VanderPlas https://jakevdp.github.io/PythonDataScienceHandbook/ | ||||||||||||||||||
Teaching Methods | Flipped Learning | ||||||||||||||||||
Homework and Projects | |||||||||||||||||||
Laboratory Work | |||||||||||||||||||
Computer Use | The course heavily requires use of computers, thus students are expected to bring their own computers to use. | ||||||||||||||||||
Other Activities | |||||||||||||||||||
Assessment Methods |
|
||||||||||||||||||
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. |
Activity | No/Weeks | Hours | Calculation | ||||
No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
Course Hours | 14 | 1 | 2 | 1 | 56 | ||
Laboratory | 14 | 0 | 2 | 28 | |||
Homework Assignments | 5 | 5 | 0.5 | 27.5 | |||
Total Workload | 111.5 | ||||||
Total Workload/25 | 4.5 | ||||||
ECTS | 5 |