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Course title |
Global Agriculture Technology Foresight |
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Semester |
109-1 |
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Designated for |
COMMON GENERAL EDUCATION CENTER Master Program in Global Agriculture Technology and Genomic Science |
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Instructor |
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Curriculum Number |
ATGS7020 |
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Curriculum Identity Number |
H43EM7020 |
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Class |
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Credits |
3.0 |
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Full/Half
Yr. |
Half |
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Required/
Elective |
Required |
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Time |
Thursday 2,3,4(9:10~12:10) |
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Remarks |
The upper limit of the number of students: 30. |
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Ceiba Web Server |
http://ceiba.ntu.edu.tw/1091ATGS7020_foresi |
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Course introduction video |
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Table of Core Capabilities and Curriculum Planning |
Association has not been established |
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Course Syllabus
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Please respect the intellectual property rights of others and do not copy any of the course information without permission
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Course Description |
This is a key introductory course for the newly launched Global ATGS program. It is a lecture course designed for providing an overview of modern agriculture. The topics covered in this course encompass the range of key courses offered in the Global ATGS program, thus serving as a preview for the rest of the program. Besides the two course masters, experts will be invited to deliver lectures on specific topics. Students will be evaluated by participation, short presentations and written essays addressing special issues in modern agriculture. |
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Course Objective |
1. Survey of the various study areas of Global ATGS master degree program.
2. Enhancing understanding of current and future global agricultural needs and technology development trends.
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Course Requirement |
This is a required course in the Global ATGS program.
Students with agriculture background(include crop, animal, engineering) or biology background are welcome. |
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Student Workload (expected study time outside of class per week) |
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Office Hours |
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Designated reading |
To be assigned by individual instructor |
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References |
To be assigned by individual instructor |
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Grading |
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No. |
Item |
% |
Explanations for the conditions |
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1. |
1st presentation on Genomics and breeding |
25% |
(4 lectures) |
2. |
2nd presentation on Smart agriculture |
25% |
(4 lectures) |
3. |
3rd presentation on Sustainable agriculture |
20% |
(2 lectures) |
4. |
Written assignment for the 1st lecture |
15% |
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5. |
Attendance and classroom participations/interactions |
15% |
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Week |
Date |
Topic |
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Week 1 |
9/17 |
Agriculture: past, present and future perspectives; unique features of Taiwan agriculture |
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Week 2 |
9/24 |
Modern agriculture as a multidisciplinary exercise |
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Week 3 |
10/01 |
Moon Festival(Holiday) |
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Week 4 |
10/08 |
Genetic resources and genomics |
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Week 5 |
10/15 |
Advances in plant breeding |
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Week 6 |
10/22 |
Genetic engineering and genome editing |
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Week 7 |
10/29 |
Animal genomics and breeding |
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Week 8 |
11/05 |
Student presentations |
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Week 9 |
11/12 |
Control system for smart agriculture |
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Week 10 |
11/19 |
Application of smart agriculture in crop production |
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Week 11 |
11/26 |
Application of digital agriculture in animal production |
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Week 12 |
12/03 |
Big data applications in agriculture |
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Week 13 |
12/10 |
Invited talk or field trip |
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Week 14 |
12/17 |
Student presentations |
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Week 15 |
12/24 |
Agricultural waste treatment, management and recycling |
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Week 16 |
12/31 |
Bio-diesel |
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Week 17 |
1/07 |
Field trip: Hong-Chih livestock farm |
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Week 18 |
1/14 |
Student presentations |