MKTG 333 Digital MarketingMEF ÜniversitesiAkademik Programlar EkonomiÖğrenciler için Genel BilgiDiploma EkiErasmus Beyanı
Ekonomi
Lisans Programın Süresi: 4 Kredi Sayısı: 240 TYYÇ: 6. Düzey QF-EHEA: 1. Düzey EQF: 6. Düzey

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Econ., Admin. and Social Sciences
Course Code MKTG 333
Course Title in English Digital Marketing
Course Title in Turkish Dijital Pazarlama
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Intermediate
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 130 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites
Expected Prior Knowledge Basic concepts of marketing.
Co-requisites MKTG 201 - Marketing
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn to understand digital marketing, and how to turn it into a benefit for brands.
Course Description The aim of the Digital Marketing course is to provide students with the knowledge about business advantages of the digital marketing and its importance for marketing success.
Course Description in Turkish Dijital Pazarlama dersinin amacı, öğrencilere dijital pazarlamanın iş avantajları ve pazarlama başarısı için önemi hakkında bilgi vermektir.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Kapsamlı dijital pazarlama stratejileri ve planları geliştirmek, değerlendirmek ve yürütmek
2) dijital pazarlama çabalarının nasıl ölçüleceğini ve yatırım getirisinin nasıl hesaplanacağını anlamak
3) en yeni dijital reklam teknolojilerini anlamak
4) Daha büyük bir pazarlama ve/veya medya stratejisi kapsamında dijital pazarlamanın birden fazla hedef için nasıl ve neden kullanılacağını anlamak
5) Başlıca dijital pazarlama kanallarını belirlemek - çevrimiçi reklamcılık: Dijital ekran, video, mobil, arama motoru ve sosyal medya
6) Dijital pazarlama stratejisinin temel unsurlarını kavramak.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics.
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics.
3) Displays a sound comprehension of microeconomic and macroeconomic theory.
4) Applies economic concepts to solve complex problems and enhance decision-making capability.
5) Uses quantitative techniques to analyze different economic systems.
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies.
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data.
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings.
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information.
10) Exhibits individual and professional ethical behavior and social responsibility.
11) Displays learning skills necessary for further study with a high degree of autonomy

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics. N
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics. N
3) Displays a sound comprehension of microeconomic and macroeconomic theory. N
4) Applies economic concepts to solve complex problems and enhance decision-making capability. N
5) Uses quantitative techniques to analyze different economic systems. N
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies. N
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data. N
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings. N
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. N
10) Exhibits individual and professional ethical behavior and social responsibility. N
11) Displays learning skills necessary for further study with a high degree of autonomy N
Prepared by and Date , January 2019
Course Coordinator CEYHAN MUTLU
Semester Spring
Name of Instructor Dr. Öğr. Üyesi RÜYA YÜKSEL

Course Contents

Hafta Konu
1) Giriş
2) Dijital Pazarlama ve Anahtar Kelimeler
3) Dijital Pazarlama ve İletişim Stratejileri
4) Dijital Dünyada Medya Planlama
5) Kullanıcı Tecrübeleri
6) İçerik Pazarlama ve Video Pazarlama
7) Ara Sınav
8) Arama Motoru Optimizasyonu (SEO)
9) Sosyal Ağ ve Medya Pazarlama
10) E-Ticaret ve Dijital Pazarlama
11) Görüntülü Reklamcılık
12) Yapay Zeka ve Büyük Veri
13) Final Değerlendirmesi
14) Final Değerlendirmesi
Required/Recommended ReadingsDigital Marketing: Strategy, Implementation and Practice 5th Edition, Chaffey, D., Ellis-Chadwick, F., Pearson.
Teaching MethodsVideos, PowerPoint presentations for each session, cases and group projects. The students are expected to come each session having read and watched the course material. The course involves cases and projects, students are expected to engage in the class discussion and apply the knowledge acquired in a team setting.
Homework and ProjectsThe students will be making one presentation as a group at the end of the course. The groups will be formed and the details of the projects will be announced later by the instructor. Each group will have maximum 5 members and each team member will present their part individually. Before the presentations, the group projects have to be submitted as a PPT file within a deadline provided by the instructor. Late assignments will not get full points.
Laboratory WorkNone
Computer UseEach session requires use of Blackboard; therefore, use of computer is a must.
Other ActivitiesGuest speakers will be invited for giving practical aspects of related theoretical concepts.
Assessment Methods
Assessment Tools Count Weight
Devam 1 % 20
Ara Sınavlar 1 % 30
Final 1 % 50
TOTAL % 100
Course Administration

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 3 2 98
Proje 1 12 2 14
Ara Sınavlar 2 7 2 18
Total Workload 130
Total Workload/25 5.2
ECTS 5