NCHU Course Outline
Course Name (中) 行銷溝通(7259)
(Eng.) Marketing Communication
Offering Dept Graduate Institute of Bio-Industry Management
Course Type Elective Credits 3 Teacher YANG SHANG-HO
Department Graduate Institute of Bio-Industry Management/Graduate Language English Semester 2026-FALL
Course Description Marketing communication is increasingly shaped by collaboration among people, data, and artificial intelligence. Beyond traditional advertising, product labels, farmer narratives, sensory experiences, social media, pricing signals, certifications, customer interactions, and AI-driven platforms collectively influence how consumers discover, interpret, trust, and respond to products. This course examines how these touchpoints can be integrated into a coherent marketing communication strategy, with particular attention to the responsible cooperation between human expertise and AI capabilities.
The NCHU Organic Farmers Market will serve as a living laboratory in which students collaborate with farmers, consumers, classmates, and AI tools to address real-world marketing challenges. Student teams will conduct ethical field research, evaluate product labeling and communication, analyze quantitative and qualitative data, undertake structured food-sensory studies, and develop evidence-based integrated marketing plans. Generative AI will support activities such as literature exploration, interview preparation, data analysis, audience insight development, message creation, content prototyping, and strategic scenario testing.
The course adopts a human-led, AI-supported approach. Students will learn not only how to use AI efficiently, but also how to question its recommendations, identify bias and inaccurate information, protect stakeholder data, verify evidence, and improve AI-generated outputs through disciplinary knowledge and human judgment. The goal is to develop marketing researchers and strategists who can cooperate critically, creatively, ethically, and transparently with AI while remaining accountable for their final decisions.
Prerequisites
self-directed learning in the course Y
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
The objectives of this course are to:

  • effectively collect literature reviews and market data
  • systematically introduce, analyze, and discuss the outcomes
  • think over issues of industry and market relation
  • evaluate Effectiveness
  • plan Optimization
topic Discussion/Production
Discussion
Exercises
Attendance
Oral Presentation
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Course launch: communication in an AI-mediated market
Week 2 IMC theory, stakeholders, ethics, and research framing
Week 3 Introducing the NCHU Organic Farmers Market
Week 4 Qualitative field research and responsible AI
Week 5 Discovery presentations and problem definition
Week 6 Product labeling, claims, and trust
Week 7 Label and message prototyping
Week 8 Midterm design review
Week 9 Data analysis for marketing decisions
Week 10 From analysis to strategic planning
Week 11 Marketing strategy clinic
Week 12 Food sensory examination: concepts and design
Week 13 Food sensory examination: field/lab implementation
Week 14 Sensory analysis to marketing plan
Week 15 Integrated plan studio and rehearsal
Week 16 Final student presentations and learning defense
self-directed
learning
   03.Preparing presentations or reports related to industry and academia.

Evaluation
Discussion, Presentation, Feedback, Attendance
Textbook & other References
SSCI and SCI journals
Teaching Aids & Teacher's Website
None.
Office Hours
By appointment.
Sustainable Development Goals, SDGs(Link URL)
include experience courses:N
Please respect the intellectual property rights and use the materials legally.Please respect gender equality.
Update Date, year/month/day:2026/07/29 17:08:49 Printed Date, year/month/day:2026 / 8 / 18
The second-hand book website:http://www.myub.com.tw/