SEMESTER LEARNING PLAN
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Course Title: Internet of Things (IoT)
MK code: UUW00006
Credit Weight: 2
Group of Courts: Compulsory
Semester: 1
Prerequisite Course: No requirement
Lecturer:
Damar Nurwahyu Bima,S.Si,M.Si
Prof. Dr. Dwi Hudiyanti,M.Sc
Ismiyarto, S.Si., M.Si., Ph.D
Graduate Learning Outcomes (GLO)
This course can provide provisions in anticipating some of the 4.0 academic demands by the scientific fields of each study program.
Course Learning Outcomes (CLO)
Students can apply the use of the internet of things in society (C3), operate internet of things (IoT) devices both socially and scientifically (P3), and realize (A3) internet of things (IoT) as a solution in various scientific fields according to laws and regulations applicable.
Course Description
The internet of things (IoT) course contains basic material on the internet from the community dimension that can be embedded in objects/devices/objects of science, technology, and art around. At the end of the lecture, students are expected to apply the internet of things (IoT) in a polite, practical, and comprehensive manner.
| Week | Expected ability (Sub-CLO) | Study Materials/ Learning Materials | Learning methods | Student Learning Experience | Time (minutes) | Evaluation | |
| Criteria and Indicators | % | ||||||
| 1 | After attending this subject course, students can re-explain (C2) the meaning of the Internet of Things (IoT) and relationships in a society with a 60% truth rate. | • Understanding IoT.
• IoT in society. • IoT ethics and the power of social media. |
• Lecture
• Interactive discussions • Independent Learning (SDL) |
• Students pay attention to the goals, benefits, and concepts of IoT in society | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• Accuracy in explaining the meaning of IoT.
• Accuracy in explaining the relationship of IoT in several scientific fields in society. • Accuracy in implementing IoT and social media politely and according to applicable ethics and regulations. |
5 |
| 2 | After attending this subject course, students can re-explain (C2) the Internet of Things (IoT) application in various science and technology objects/devices/objects related to data collection and social, economic, and political platforms with a 60% truth rate. | • Internet Connectivity.
• E-Learning (Video Conferencing, Kulon) • Device in internet connectivity. • Data collection. • Social media as a data and survey platform. |
• Lecture
• Interactive discussions • Independent Learning (SDL) • Giving Group Assignments • Discovery Learning (DL) |
• Students listen, look for materials, prepare, and prepare for the next week’s assignment presentation | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• Accuracy in explaining what science and technology objects/devices/objects can be used in meetings with IoT.
• Accuracy describes how to do data collection in IoT. • Accuracy in using social media as a data and survey platform. |
5 |
| 3 | • Assignment Presentation | • Student Group Presentation
• Small Group Discussion (SGD) |
• Students actively submit lecturer assignments | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• Accuracy in delivering material regarding the use of social media as a data and survey platform. | 5 | |
| 4 | After attending this subject course, students can explain (C2) aspects of governance and business opportunities in the internet of things (IoT) with a 60% truth rate. | • Software and Application Usage on IoT.
• Hardware for IoT from a practical and economic aspect. • The business platform of the IoT. |
• Lecture
• Interactive discussions • Independent Learning (SDL) • Individual Assignment |
• Students listen, take notes, do assignments, and assess their own experiences in doing tasks related to the material | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• Accuracy of explaining the use of software in IoT
• Accuracy in recognizing the potential of hardware that can be used as a business aspect in IoT • Accuracy describes what business platforms can be used in IoT |
5 |
| 5 | After attending this subject course, students can search for data and marketing tools and implement them (C3) on examples of Internet of things applications with a 60% truth rate. | • An introduction to the basics of big data
• Search for diversified market opportunities from various fields of science for IoT products • Video creation as content and media marketing platform for IoT products |
• Lecture
• Self-Directed Learning (SDL) • Giving Group Assignments • Discovery Learning |
• Students listen, look for materials, discuss and prepare for the next week’s assignment presentation | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• Accuracy explains the concept of data retrieval used with large data conditions
• Accuracy in conducting simple trend searches about available markets for the Internet of things • Accuracy in utilizing trend search by creating marketing content |
5 |
| 6 | • Assignment Presentation | • Student Group Presentation
• Small Group Discussion (SGD) |
• Students in groups present the lecturer’s assignments | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• Accuracy in delivering assignment materials regarding video creation for IoT marketing tools | 5 | |
| 7 | After attending this course, students can explain (C2) aspects of artificial intelligence used in understanding market patterns and patterns of using tools in the Internet of Things (IoT) with a 60% truth rate. | The general concept of artificial intelligence in the use of IoT in the field of science and social science
Explain the basics of data science in understanding people’s patterns or habits in the use of IoT |
• Lecture
• Self-Directed Learning • Interactive Quiz • Interactive discussions • Discovery Learning (DL) |
• Students listen, take notes, and do questions and answers related to the material and interact in quizzes | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• Accuracy in explaining the general concept of artificial intelligence in the use of IoT in the field of science and social media
• Accuracy in understanding the patterns that exist in the market and the pattern of usage of tools in IoT |
10 |
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8
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|
Midterm exam | Written exam | 90 | The truth and completeness of the answer to the question | ||
| 9 | After attending this subject course, students can explain (C2) the basic concepts of simple cyber security in IoT with a 60% truth rate. | Introduction to computer viruses and antivirus
Introduction to hackers, cybercrime and security concepts in IoT ITE Law |
• Lecture
• Self-Directed Learning • Interactive discussions |
• Students listen, take notes, and ask questions related to the material | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• Accuracy in explaining the concept of security in the Internet of Things as well as cybersecurity | 5 |
| 10 | After attending this course, students can explain (C2) the architecture and organization of the Internet of Things with a 60% truth rate. | IoT architecture
IoT Organization IoT as a supporter of the Information Technology component |
• Lecture
• Self-Directed Learning • Interactive discussions |
Students listen, take notes, and ask questions related to the material | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
Accuracy describes IoT architecture and organization | 5 |
| 11 | After attending this course, students can apply (C3) Internet of Things for e-commerce-based entrepreneurship with a 60% truth rate. | E-Commerce in supporting IoT-based entrepreneurship | • Lecture
• Self-Directed Learning (SDL) • Giving Group Assignments • Discovery Learning |
Students listen, look for materials, discuss and prepare for the next week’s assignment presentation. | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
Accuracy explains how to apply IoT to its use in e-commerce. | 5 |
| 12 | • Assignment Presentation | • Student Group Presentation
• Small Group Discussion (SGD) |
• Students in groups present the lecturer’s assignments | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• Accuracy in delivering the task of creating a shop with IoT product storefront | 5 | |
| 13 | After attending this course, students can practice (C3) IoT-based applications with a 60% truth rate. | Various examples of IoT applications (e.g., voice commands to turn off/on IoT devices, google assistant for activity reminders, video conference organizations, etc.) | • Lecture
• Discussion • SDL • DL • Individual Practice • Problem Based Learning |
Students listen, look for materials, discuss and practice the tools individually | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• The accuracy of practicing the use of IoT using applications such as in the example | 10 |
| 14 | After attending this course, students can implement (C3) IoT technology in multi-disciplinary projects with a 60% truth rate. | IoT Project | • Lecture
• Self-Directed Learning (SDL) • Giving Group Assignments |
Students listen, look for materials, discuss and prepare for the next week’s assignment presentation | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• Accuracy in implementing IoT in group projects with members from various disciplines | 10 |
| 15 | • Assignment Presentation | • Student Group Presentation
• Small Group Discussion (SGD) • Discovery Learning |
• Students in groups present the lecturer’s assignments | FF : 1 x (2 x 50”)
ST : 1 x (2 x 60″) SS : 1 x (2 x 60’’) |
• Accuracy in delivering the task of making IoT projects | 5 | |
| 16 | Final exams | Written exam | 90 | The truth and completeness of the answer to the question | |||
Glossary
GLO = Graduate Learning Outcome
CLO = Course Learning Outcomes
FF = Face to Face Learning
ST = Structured tasks
SS = Self Study
