Introduction to Artificial Intelligence and Big Data for Business
| Structure Type: | Study unit |
|---|---|
| Code: | TL00BG15 |
| Curriculum: | VAPVAL 2022 |
| Level: | Continuing Education etc. |
| Credits: | 3 cr |
| Responsible Teacher: | Lotchi, Kodjovi |
| Language of Instruction: | English |
Courses
| Impl. | Study Time | Teacher(s) | Language | Enrolment |
|---|---|---|---|---|
| 3004 | 2023-05-03 – 2023-07-20 | Kodjovi Lotchi | English | 2023-03-21 – 2023-04-24 |
Learning Outcomes
Understand the concept of Artificial Intelligence and all related topics such as Big Data, Machine Learning and Deep Learning.
Learn to describe all the key AI technologies and how they are currently being applied in business.
Learn the concepts on how to integrate Artificial Intelligence (AI) to business processes in order to manage workflows, optimize operations, and predict trends.
Improve your ability to reach out to customers by using social media and other means of marketing communication
Deepen your understanding of business-to-business marketing, especially the need to change focus from goods production and distribution to long-term value creation and relationships trough sales.
Student's Workload
10 hours of Contact teaching and 71 hours of self-studies and assignments
Contents
Knowledge about Artificial Intelligence, Big Data, Machine Learning, Deep Learning and Data Science.
Understand how Artificial Intelligence can help to optimize business processes, minimize costs and maximize profits.
Applications of Artificial Intelligence Technologies.
Artificial Intelligence implementation
Regional Impact
Get a clear and practical view on AI and Big Data and how they can benefit contemporary businesses
Recommended or Required Reading and Other Learning Resources/Tools
Slides and Articles provided by the teacher
Artificial intelligence and machine learning for business for non-engineers (Book) Groom, Frank M., toimittaja ; Jones, Stephan S., toimittaja ; Ciuffo, Joe, kirjoittajaCRC Press [2020]
Artificial Intelligence for Business (eBook) Anderson, Jason L. Wiley 2020
https://learning.oreilly.com/library/view/artificial-intelligence-for/9781119651734/?ar
Mode of Delivery / Planned Learning Activities and Teaching Methods
Online multimodal studies
Online lectures
Flipped Learning
10 hrs of Lecture and 71 hours of Self studies and assignments