Accelerating innovation: Low Code, Digital Twins and hyper-automation (2235.YR.015858.1)
General information
Type: |
OPT |
Curs: |
1 |
Period: |
S semester |
ECTS Credits: |
3 ECTS |
Teaching Staff:
| Group |
Teacher |
Department |
Language |
| Year 1 |
Xavier Busquets Carretero |
Operaciones, Innovación y Data Sciences |
ENG |
| Year 1 |
Oriol Rius Canals |
Operaciones, Innovación y Data Sciences |
ENG |
COURSE CONTRIBUTION TO PROGRAM
This course complements the Digital Business Master's program by focusing on cutting-edge technologies - Low Code, Digital Twins, and Hyper-automation - driving modern digital innovation. By leveraging Oracle APEX, students will gain practical low-code platform experience, critical for rapid digital transformation. The digital twins module will provide students a deep understanding of creating virtual models, vital in optimizing business processes. The final unit on hyper-automation will immerse students in the world of advanced automation, AI, and machine learning, equipping them with the knowledge to enhance operational efficiency. Thus, the course empowers students with tools to lead and accelerate innovation in any digital business environment.
Course Learning Objectives
1. **Understanding of Accelerating Innovation:** Gain a comprehensive understanding of how technologies like Low Code, Digital Twins, and Hyper-automation are used to accelerate innovation in digital business.
2. **Proficiency in Oracle APEX:** Develop practical skills in using Oracle APEX, a popular Low Code platform, for building and deploying enterprise-level applications efficiently.
3. **Knowledge of Digital Twins:** Learn the concepts of Digital Twins, their applications across industries, and how to create and optimize them to improve business operations and decision-making.
4. **Insight into Hyper-automation:** Understand the principles of Hyper-automation, including its components, strategies, and benefits. Learn how AI and Machine Learning are used in process automation.
5. **Application of Learned Concepts:** Apply the learned concepts and technologies to real-world business scenarios, enhancing problem-solving skills and understanding of digital transformation strategies.
Methodology
The teaching methodology for the course "Accelerating Innovation: Low Code, Digital Twins and Hyper-automation" will focus on active learning and a student-centered approach, encompassing the following techniques:
1. Interactive Lectures: To cover theoretical aspects of the course, interactive lectures will be employed. These lectures will involve multimedia presentations, discussions, and in-class problem-solving exercises.
2. Hands-on Activities: Practical sessions will be incorporated, where students can apply theoretical knowledge into practice using tools such as Oracle APEX and various hyper-automation platforms. They will learn how to build low code applications, create digital twins, and automate business processes.
3. Group Projects: Collaborative group projects will be used to encourage teamwork and to simulate real-world work scenarios. These projects will challenge students to utilize all the concepts learned in the course to solve complex problems.
4. Independent Learning: Students will be given self-study materials, articles, and research papers to encourage independent learning. This will provide students with a broader perspective and more in-depth understanding of the topics discussed in the course.
5. Discussion and Q&A Sessions: Regular discussion sessions will be held for students to engage with each other and the instructor, promoting a deeper understanding of the material.
Assessment criteria
Assignments and Practical Projects (60%): Evaluation will be based on the completion and quality of practical assignments. Students will have the opportunity to apply the learned concepts in real-life scenarios using Oracle APEX, Digital Twins, and Hyper-automation tools.
Final Test Exam (40%): A comprehensive written exam towards the end of the course. This will test students' understanding of the theoretical concepts taught throughout the course, including multiple-choice, short answer, and essay questions.
Timetable and sections
| Group |
Teacher |
Department |
| Year 1 |
Xavier Busquets Carretero |
Operaciones, Innovación y Data Sciences |
| Year 1 |
Oriol Rius Canals |
Operaciones, Innovación y Data Sciences |
Timetable Year 1
From 2024/4/23 to 2024/6/18:
Each Tuesday from 8:00 to 9:30. (Except: 2024/5/7)
Each Tuesday from 9:45 to 11:15. (Except: 2024/5/7)
Tuesday 2024/6/25 from 8:00 to 11:15.
