BACK
Sustainable Ocean Intelligent Autonomous Monitoring
Apply now
Programs:
Sustainable Ocean Intelligent Autonomous Monitoring
Units:
32 hours
Format:
Live Online
Duration:
Jun 19 2023 ~ Jul 21 2023
Cost:
Free
Credit(s):
2
Course Description

This course focuses on the theme of "protection and sustainable utilization of oceans and marine resources to promote sustainable development". The course adopts a combination of theory and practice to introduce related technologies and typical applications of ocean intelligent autonomous monitoring. Typically, the course includes unmanned surface vehicle(USV),unmanned aerial vehicle(UAV), autonomous underwater vehicle(AUV), and related algorithms for data processing. After successfully completing this course, students are able to:

  • have a comprehensive and preliminary understanding of the field of sustainable ocean intelligence autonomous monitoring. 
  • understand and master the overall architecture and key technologies of the three important autonomous systems of USV, UAV, and AUV. 
  • implement basic ocean intelligent autonomous monitoring system with programming software.

Relevant SDGs: Goal 14: Conserve and sustainably use the oceans, seas and marine resources

What skills will students get?
  1. Understand the meaning of autonomous monitoring of ocean intelligence, explain the key technologies of autonomous systems such as unmanned surface vehicle(USV),unmanned aerial vehicle(UAV), autonomous underwater vehicle(AUV).
  2. Exploit unmanned system technology to analyze and solve practical problems of sustainable ocean intelligent autonomous monitoring.
  3. Understand the basic algorithms of intelligent autonomous system.
Mode of Teaching

Lectures & Discussion & Exercises & Project demos

Grading

Lectures 24h, exercise sessions 8 h, independent work 30 h. Students are awarded 2cr for completing the course.

  1. Attendance: 30%
  2. Group presentation: 70%
Course-specific Restrictions

Students from all study programs are welcome, and thus no formal requirements are set. Students with no background in engineering are encouraged to glance through, e.g., knowledge of signals and systems, estimation theory, and the excellent material of Elements of AI.

Class Schedule

Week

Date 

Week Day

Time
(UTC+8)

Topic

 

Teaching mode
(Lecture/Tutorial/Discussion)

Instructor in charge

 

19/06

Monday

15:00-17:00

Background of ocean intelligent autonomous monitoring

2

Lecture

Zhihuan Hu

Rui Gao

 

21/06

Wednesday

15:00-17:00

Machine learning algorithms for intelligent autonomous monitoring

 

2

Lecture&

Ice breaker

AlexJung

Tian Yu

Rui Gao

 

23/06

Friday

15:00-17:00

2

Lecture& Exercise

 

26/06

Monday

15:00-17:00

2

Lecture& Exercise

 

28/06

Wednesday

15:00-17:00

2

Lecture& Exercise

 

30/06

Friday

15:00-17:00

2

Lecture& Exercise

 

03/07

Monday

15:00-17:00

Autonomous underwater vehicle (AUV)

2

Lecture 

Fabio Ruggiero

 

05/07

Wednesday

15:00-17:00

2

Lecture

 

07/07

Friday

15:00-17:00

Unmanned aerial vehicle (UAV)

2

Lecture

Fabio Ruggiero

 

10/07

Monday

15:00-17:00

Unmanned aerial vehicle (UAV)

2

Lecture

Roland Siegwart

 

12/07

Wednesday

15:00-17:00

Path-planning algorithms for Autonomy

2

Lecture& Exercise

Howard Li

 

14/07

Friday

15:00-17:00

2

Lecture& Exercise

 

17/07

Monday

15:00-17:00

Unmanned aerial vehicle (UAV)

2

Lecture

Fabio Ruggiero

 

20/07

Wednesday

15:00-18:00

Project demos of sustainable ocean intelligent autonomous monitoring

3

Lecture

Rui Gao

Jian Wang

 

21/07

Friday

15:00-18:00

Project demos of sustainable ocean intelligent autonomous monitoring

3

Lecture

Rui Gao

Jian Wang

Total

32

 

Course Contact

GAO Rui: rgao@sjtu.edu.cn

课程尚未开始