School/Faculty/Institute Faculty of Engineering
Course Code COMP 468
Course Title in English Introduction to Internet of Things
Course Title in Turkish Nesnelerin İnternetine Giriş
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Advanced
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 144 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Co-requisites None
Expected Prior Knowledge None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective To learn and design the different aspects of the IoT, including end devices, connectivity, programming, and security and privacy implications, cloud structure and big data analysis.
Course Description This course is about to design IoT-related functions. In the course, we will discuss IoT concepts, and we will examine all the components of an IoT structure, including the ‘things’ that make up the Internet of Things, the connectivity between the things, cloud structure, and the added values. We will also examine cybersecurity and privacy issues, and highlight how IoT can optimize processes and improve efficiencies in your business.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) identify basic IoT design considerations and generate IoT basic designs;
2) compare different IoT connectivity systems, and design the basic network
3) implement software solutions and Big Data architectures for IoT designs
4) produce a complete and complex IoT prototype concept design
5) present the IoT prototype work in front of the audience
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5
1) Has a broad foundation and intellectual awareness with exposure to mathematics, history, economics, and social sciences
2) Demonstrates knowledge and skills in different functional areas of business (accounting, finance, operations, marketing, strategy, and organization) and an understanding of their interactions within various industry sectors
3) Applies theoretical knowledge as well as creative, analytical, and critical thinking to manage complex technical or professional activities or projects
4) Exhibits an understanding of global, environmental, economic, legal, and regulatory contexts for business sustainability
5) Demonstrates individual and professional ethical behavior and social responsibility
6) Demonstrates responsiveness to ethnic, cultural, and gender diversity values and issues
7) Uses written and spoken English effectively (at least CEFR B2 level) to communicate information, ideas, problems, and solutions
8) Demonstrates skills in data and information acquisition, analysis, interpretation, and reporting
9) Displays computer proficiency to support problem solving and decision-making
10) Demonstrates teamwork, leadership, and entrepreneurial skills
11) Displays learning skills necessary for further study with a high degree of autonomy

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Has a broad foundation and intellectual awareness with exposure to mathematics, history, economics, and social sciences N
2) Demonstrates knowledge and skills in different functional areas of business (accounting, finance, operations, marketing, strategy, and organization) and an understanding of their interactions within various industry sectors N
3) Applies theoretical knowledge as well as creative, analytical, and critical thinking to manage complex technical or professional activities or projects N
4) Exhibits an understanding of global, environmental, economic, legal, and regulatory contexts for business sustainability N
5) Demonstrates individual and professional ethical behavior and social responsibility N
6) Demonstrates responsiveness to ethnic, cultural, and gender diversity values and issues N
7) Uses written and spoken English effectively (at least CEFR B2 level) to communicate information, ideas, problems, and solutions S Presentation
8) Demonstrates skills in data and information acquisition, analysis, interpretation, and reporting S Participation
9) Displays computer proficiency to support problem solving and decision-making N
10) Demonstrates teamwork, leadership, and entrepreneurial skills S Participation
11) Displays learning skills necessary for further study with a high degree of autonomy S Participation
Prepared by and Date İLKER BEKMEZCİ , April 2021
Course Coordinator İLKER BEKMEZCİ
Semester Spring
Name of Instructor Prof. Dr. İLKER BEKMEZCİ

Course Contents

Week Subject
1) Introduction
2) Basic IoT Design Considerations and Strategies
3) Review of Basic Network Concepts
4) Wireless Communication
5) Sensor Tech/Embedded Systems and Software
6) Connectivity in IoT
7) Cloud and Big Data
8) Security in IoT
9) Prototyping
10) Home net IoT, Structural health IoT
11) Industrial IoT , Connected Vehicles
12) Smart City, Smart Buildings
13) Smart City, Smart Buildings
14) Military Applications/Advanced wireless sensor networks
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended ReadingsInternet of Things and Data Analytics Handbook, Hwaiyu Geng, Wiley Press, 1st Edition, 2017 Recommended: Internet of Things A to Z Technologies and Applications, Wiley Press, 2018.
Teaching MethodsLectures/contact hours using “flipped classroom” as an active learning technique
Homework and ProjectsA whole stack IoT project design (sensors, microprocessors, gateways, clouds and big data analysis)
Laboratory Work
Computer UseProject and lectures
Other ActivitiesReadings
Assessment Methods
Assessment Tools Count Weight
Homework Assignments 1 % 10
Presentation 1 % 10
Project 1 % 50
Midterm(s) 1 % 30
TOTAL % 100
Course Administration bekmezcii@mef.edu.tr
A523
Prof. Dr. İlker Bekmezci Instructor’s office: A523 office hours: - email address: bekmezcii@mef.edu.tr Missing a midterm: Provided that proper documents of excuse are presented, each missed midterm by the student will be given the grade of the final exam. No make-up will be given. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations. Academic dishonesty and plagiarism: YÖK Regulations.

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 1 3 1 70
Presentations / Seminar 1 5 1 1 7
Project 12 1 3 1 60
Midterm(s) 1 5 1 1 7
Total Workload 144
Total Workload/25 5.8
ECTS 6