ECTS - Fundamentals of the Internet of Things

Fundamentals of the Internet of Things (ISE434) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Fundamentals of the Internet of Things ISE434 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives
Course Learning Outcomes The students who succeeded in this course;
  • Identify basics of IoT
  • Describe IoT architecture
  • Recognize cloud usage for IoT applications
  • Recognize fog/edge computing for IoT
  • Develop IoT applications with Arduino
Course Content Basics of IoT, IoT architecture, technologies and tools for IoT environment, IoT programming, IoT communication technologies, cloud for IoT applications and analysis, IoT data analytics, edge and fog computing, security management in IOT.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Basics of IoT Course notes
2 Basics of IoT Course notes
3 IoT Architecture Course notes
4 IoT Mimarisi Course notes
5 Sensor Netwoks Course notes
6 IoT Programming Course notes
7 IoT Programming Course notes
8 IoT Programming Course notes
9 IoT Communication Technologies Course notes
10 IoT Communication Technologies Course notes
11 Edge and Fog Computing Course notes
12 IoT Uygulamaları için Bulut Kullanımını Course notes
13 Cloud for IoT Applications Course notes
14 IoT’de Güvenlik Yönetimi Course notes
15 Final Exam
16 Final Exam

Sources

Course Book 1. Ders notları

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application 1 20
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 5
Presentation - -
Project 1 20
Report - -
Seminar - -
Midterms Exams/Midterms Jury - -
Final Exam/Final Jury 1 40
Toplam 7 85
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering. X
2 An ability to design and conduct experiments, as well as to analyze and interpret data. X
3 An ability to design a system, component, or process to meet desired needs. X
4 An ability to function on multi-disciplinary domains.
5 An ability to identify, formulate, and solve engineering problems. X
6 An understanding of professional and ethical responsibility.
7 An ability to communicate effectively.
8 Recognition of the need for, and an ability to engage in life-long learning.
9 A knowledge of contemporary issues. X
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. X
11 Skills in project management and recognition of international standards and methodologies X
12 An ability to produce engineering products or prototypes that solve real-life problems. X
13 Skills that contribute to professional knowledge.
14 An ability to make methodological scientific research.
15 An ability to produce, report and present an original or known scientific body of knowledge.
16 An ability to defend an originally produced idea.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project 1 20 20
Report
Homework Assignments 4 5 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury
Prepration of Final Exams/Final Jury 1 30 30
Total Workload 150