Courses Offered

COMP3516 Data analytics for IoT

COMP3516 Data analytics for IoT

2022-23
Instructor(s):Wu Chenshu
(Class A) No. of credit(s):6
Recommended Learning Hours:
Lecture: 33.0
Tutorial: 6.0
Pre-requisite(s):COMP2119
Co-requisite(s):  
Mutually exclusive with:  
Remarks:

Course Learning Outcomes

1. Be able to understand the concepts and applications of IoT, and understand the core problems (e.g., networking, sensing) for building IoT systems
2. Be able to understand and manage the knowledge of models and principles and compare the performance of key techniques for IoT data analytics.
3. Be able to identify and implement practical IoT applications with data analytics techniques
Mapping from Course Learning Outcomes to Programme Learning Outcomes
 PLO aPLO bPLO cPLO dPLO ePLO fPLO gPLO hPLO iPLO j
CLO 1TTT
CLO 2TT
CLO 3TTT

T - Teach, P - Practice
For BEng(CompSc) Programme Learning Outcomes, please refer to here.

Syllabus

Calendar Entry:
This course introduces basic concepts, technologies, and applications of the Internet of Things (IoT), with a focus on data analytics. The course covers a range of enabling techniques in sensing, computing, analytics, learning for IoT and connects them to exciting applications in smart homes, healthcare, security, etc. The lectures cover the pipeline of data generation, data acquisition, data transportation, data analysis and learning, and data applications, with various topics from the fundamentals (e.g., signal processing, statistical analysis, machine learning) to real-world systems. Billions of things are connected today, and this course helps students to understand how IoT will evolve into AIoT (Artificial Intelligence of Things).

Detailed Description:

Course Content Mapped to CLOs
Introduction to IoT1, 3
IoT Connectivity1, 2
Location Analytics2, 3
Mobile Analytics2, 3
Radio Analytics2, 3
IoT Sensing and Learning2, 3
Analytics Systems in IoT2, 3
Advanced Topics and Emerging Technologies2, 3

Assessment:
Continuous Assessment: 60%
Written Examination: 40%

Teaching Plan

Please refer to the corresponding Moodle course.

Moodle Course(s)

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