Bilgi Paketi / Ders Kataloğu
| Bilişim Teknolojileri (İngilizce) (Tezli) | |||||
| Yüksek Lisans | Programın Süresi: 2 | Kredi Sayısı: 120 | TYYÇ: 7. Düzey | QF-EHEA: 2. Düzey | EQF: 7. Düzey |
Ders Genel Tanıtım Bilgileri
| School/Faculty/Institute | Graduate School | ||||
| Course Code | ITC 544 | ||||
| Course Title in English | Cases in Information Technologies and Computing | ||||
| Course Title in Turkish | Cases in Information Technologies and Computing | ||||
| Language of Instruction | EN | ||||
| Type of Course | Exercise,Laboratory Work,Lecture | ||||
| Level of Course | Intermediate | ||||
| Semester | Yaz Okulu | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 174 hours per semester | ||||
| Number of Credits | 7.5 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites | None | ||||
| Expected Prior Knowledge | Basic machine learning knowledge | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Graduate Students Only | ||||
| Overall Educational Objective | To learn and evaluate the different cases in Information Technologies related to a wide range of applications from user experience to brain technologies. | ||||
| Course Description | The aim of the course is to give the fundamental applications in ITC and to enable students to analyze the presented cases. | ||||
| Course Description in Turkish | Bu dersin amacı Bilgi Teknolojileri konusundaki vakaları öğrenmek ve değrlendirmektir. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) ITC'deki temel kavramları öğrenmek ve tartışmak 2) Bilişim Teknolojilerindeki vakaları analiz etmek ve değerlendirmek 3) Bilgi Teknolojileri ile ilgili bir proje teklifi geliştirmek |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 |
|---|---|---|---|
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Relation to Program Outcomes and Competences
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | N | ||
| 2) | N | ||
| 3) | N | ||
| 4) | N | ||
| 5) | N | ||
| 6) | N | ||
| 7) | N | ||
| 8) | N | ||
| 9) | N | ||
| 10) | N |
| Prepared by and Date | TUNA ÇAKAR , |
| Course Coordinator | İLKER BEKMEZCİ |
| Semester | Yaz Okulu |
| Name of Instructor | Dr. Öğr. Üyesi TUNA ÇAKAR |
Course Contents
| Hafta | Konu |
| 1) | Bilişim Teknolojilerinde Kullanıcı Deneyimi - I |
| 2) | Bilişim Teknolojilerinde Kullanıcı Deneyimi - II |
| 3) | Bankacılıkta Büyük Veri Analitiği - I |
| 4) | Bankacılıkta Büyük Veri Analitiği - II |
| 5) | E-Ticaret Uygulamaları - I |
| 6) | E-Ticaret Uygulamaları - II |
| 7) | Sanal Gerçeklik Uygulamaları - I |
| 8) | Sanal Gerçeklik Uygulamaları - II |
| 9) | Uygulamalarla Artırılmış Gerçeklik - I |
| 10) | Uygulamalarla Artırılmış Gerçeklik - II |
| 11) | Tıpta Bilişim Teknolojileri - I |
| 12) | Tıpta Bilişim Teknolojileri - II |
| 13) | Beyin Teknolojileri ve Bilişim Teknolojileri - I |
| 14) | Beyin Teknolojileri ve Bilişim Teknolojileri - II |
| 15) | Proje/Sunum Dönemi |
| 16) | Proje/Sunum Dönemi |
| Required/Recommended Readings | https://developers.google.com/machine-learning/crash-course/first-steps-with-tensorflow/toolkit | ||||||||||||||||||
| Teaching Methods | Flipped classroom/Exercise/Laboratory/Active learning | ||||||||||||||||||
| Homework and Projects | - | ||||||||||||||||||
| Laboratory Work | Each week there will be a lab session | ||||||||||||||||||
| Computer Use | Students will apply the methods they learned | ||||||||||||||||||
| Other Activities | - | ||||||||||||||||||
| Assessment Methods |
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| Course Administration |
cakart@mef.edu.tr 02123953600 Course Instructor: Asst. Prof. Tuna Çakar office: A-552 (A block, 5th floor) office hours via appointment by e-mail Grading and evaluation: Evaluation will be based on the student learning outcomes. Missing final exam: Graduate Scgool regulations. Academic integrity: All students of MEF University are expected to be honest and comply with academic integrity. Students are expected to do their own work and neither give nor receive unauthorized assistance. Academic dishonesty and plagiarism will be subject to Law on Higher Education Article 54. You MUST attend the lab sessions to be able to submit your lab work. |
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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 | 2 | 1.5 | 49 | |||
| Laboratuvar | 14 | 2 | 1.5 | 49 | |||
| Proje | 9 | 2 | 1 | 27 | |||
| Ara Sınavlar | 1 | 30 | 30 | ||||
| Final | 1 | 30 | 3 | 33 | |||
| Total Workload | 188 | ||||||
| Total Workload/25 | 7.5 | ||||||
| ECTS | 7.5 | ||||||