MKTG 333 Digital MarketingMEF UniversityDegree Programs EconomicsGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Economics
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

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) develop, evaluate, and execute comprehensive digital marketing strategies and plans
2) understand how to measure digital marketing efforts and calculate ROI
3) appreciate the latest digital ad technologies
4) understand how and why to use digital marketing for multiple goals within a larger marketing and/or media strategy
5) identify the major digital marketing channels - online advertising: Digital display, video, mobile, search engine, and social media
6) comprehend the key elements of a digital marketing strategy.
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 Asst. Prof. Dr. RÜYA YÜKSEL

Course Contents

Week Subject
1) Introduction
2) Digital Marketing and key concepts
3) Digital Marketing and Communications Strategy
4) Media Planning in the Digital world
5) User Experience
6) Content Marketing & Video Marketing
7) Midterm assessment
8) Search Engine Optimisation (SEO)
9) Social Network and Media Marketing
10) E-Commerce & Digital Marketing
11) Display Advertising
12) AI & Big Data
13) Final Assessment Workshop
14) Final Assessment Workshop
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
Attendance 1 % 20
Midterm(s) 1 % 30
Final Examination 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
Course Hours 14 2 3 2 98
Project 1 12 2 14
Midterm(s) 2 7 2 18
Total Workload 130
Total Workload/25 5.2
ECTS 5