User Rating: 0 / 5
Course code: AIDE300
Department: Basic Sciences Faculty
Course conducting: Informatics Department
Number of Credits: 03
Prerequite(s): Not required
- COURSE DESCRIPTION
This course is designed to introduce basic knowledge about digital transformation, with a more specific focus on AI (artificial intelligence). Students will learn how digital technologies including AI are and will be applied to various business settings, and how to adapt business strategy and operation in the era of digital transformation. By taking this course, students will not only accumulate knowledge in the field of AI and digital transformation, but also build capabilities to communicate and collaborate in a global environment.
- COURSE CONTENTS, SCHEDULE AND TEACHING METHODS
No.
Contents
Time Allocation
Contribution to CLO
Hour(s) on the class
Essays, Exercise, Assignments…
(3)
Self-study with teacher’s tutorials
(4)
Lecture
(1)
Practice, Seminar…
(2)
1
Course Introduction
2
1
0
5.5
1, 6
2+3+4+5
Module 1: AI in Business
9
3
5
22
1,2,7,8
6+7+8+9
Module 2:
Digital Strategy
9
3
5
22
3,7,8
10+11+12+13
Module 3:
Business Analytics
6
6
8
22
3,4,5,6,7,8
14+15
Module 4:
Fintech in general – Fintech in practice
4
2
4.5
11
1,2,4,5,6,7,8
16
Final Group Presentation
1,2,3, 4,5,6,7,8
Total (hour)
30
15
22.5
82.5
- COURSE ASSESSMENT
- Score scale: 10
- Type of assessment
There are four components to the assessment in this course:
Form
Contents
Criteria
CLOs
Proportion
Formative
Attendance
The number of attendances
6,7
10%
Contribution in the class
Comments verbally made in class or in online group chat
The number of comments and participations in lessons
4,6,7
20%
Group or individual assignment
Comments made on discussion board;
Homework, short quiz, et
Number correct answers
1,2,3,4,5,6
20 %
Summative
Final term
Group Presentation
1,2,3,4,5,6,7
50%