Digital MarketingLaajuus (1 cr)
Course unit code: C-10065-XX00FX17
General information
- Credits
- 1 cr
- Institution
- Metropolia University of Applied Sciences
Objective
This course is carried out in English. 100% Online By the end of the course, the student will: • Gain an understanding of fundamental digital marketing theories and techniques. • Work with an example brand to complete course tasks and apply digital marketing techniques. • Attain knowledge of elemental website/landing page creation planning and implementation practices. • Understand the basics of website analytics and its role in digital marketing. • Apply AI in digital marketing.
Content
The main aim of this course is to introduce students to the theoretical and practical application of planning and implementation of digital marketing experiences that engage consumers. The course provides students with the fundamental digital marketing knowledge and skills to advance to the more in-depth digital marketing course. Course Brochure: https://issuu.com/johngreenelecturer/docs/digital_marketing_top_course_brochure_1_ects
Qualifications
no pre-requisites
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student is able to define the course concepts and models and are able to justify the analysis. The student is able to apply his/her knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student masters commendably the course subject area’s concepts and models. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply his/her knowledge in leisure, study and work situations. The student is able to analyze the business sector expertise and the development of his/her own expertise.
Assessment criteria, approved/failed
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Materials
All learning materials provided in the course Course books, both offline and online are used to create the learning material. Learning material will also be provided in the form of online handouts and links to online resources. ******************** Kotler, P. and Armstrong, A., 2023. Principles of Marketing 18th ed. Harlow: Pearson Education Ltd. ********************* Dave Chaffey and F. Ellis-Chadwick. 2022. Digital Marketing: Strategy, Implementation and Practice 8th Edition, Pearson. Older edition available as an E-book via Metcat https://metropolia.finna.fi/ Hollensen, Svend 2020. Global Marketing 8th ed: Pearson Education Ltd. Godin, Seth 2018, This is Marketing 1st ed: Portfolio Ltd.
Further information
Course Brochure: https://issuu.com/johngreenelecturer/docs/digital_marketing_top_course_brochure_1_ects
Execution methods
This course is carried out in English. 100% Online
Accomplishment methods
Course Tasks/Assignments Module ii: Getting Started: Getting Started - Upload screenshot of completed tasks Total Task Percentage 5% Module 2: Introduction to FINNBERRY + Customer Archetype Task Customer Archetype Content Task Total Task Percentage 20% Module 3: Customer Journey Mapping to Website Creation No assignments in this module Total Task Percentage 0% Module 4: Landing Page + Landing Page Creation Task Landing Page Creation Task Total Task Percentage 60% Module 5: BONUS NON-COMPULSORY Google Analytics + Google Analytics setup Task Google Analytics Setup Task Bonus (NON-COMPULSORY) Total Task Percentage 0%