Syllabus
AREC 280-A1/224 (Fall 2025)
Course Information
Department of Agricultural and Resource Economics
Course Name: AREC 280-A1/224 (212872), Introduction to Agribusiness Entrepreneurship
Time: 8:00 AM - 9:15 AM T R
Instructor: Lauren Chenarides
Email: Lauren.Chenarides@colostate.edu
Location: Clark C 248
Term: August 25 – December 14, 2025
Teaching Assistant (TA): Diya Khatiwada
TA Email: dikshya.khatiwada@colostate.edu
Course Links
Course Description
The primary objective is to foster development and understanding of key agricultural marketing issues and concerns, equip you with analytical skills that may be utilized to evaluate different marketing problems and programs from both the industry and firm perspective. This course will provide you with an understanding of economic concepts that will be employed for analyzing issues in agricultural marketing
Learning Objectives
- Understand the functions performed and appreciate the importance and the complexity of the agricultural and food marketing system. (Problem-solving Skill and Professional Development Learning Objectives)
- Understand the basic workings of the futures markets for speculators and hedgers, and how these may be used by producers and firms to manage price risk. (Technical Competence Learning Objective)
- Be able to apply the basic economic concepts and analytical tools to understand the market forces that affect prices and to be able to use these tools to evaluate markets, prices, and current agricultural marketing issues. (Technical Competence and Problem-solving Skills Learning Objectives)
- Refine your ability to think critically and be able to justify your position with relevant economic logic by developing an analytical approach and decision-making framework for economic decisions made by producers & firms in the marketing system. (Communication Skills and Problem-solving Skills Learning Objectives)
This course will contribute to several DARE Learning Outcomes:
- You will develop problem-solving skills by identifying gaps in the market, evaluating potential solutions, and designing viable agribusiness models. Through weekly case studies, you will practice applying economic reasoning and entrepreneurial thinking to real-world decisions.
- You will strengthen your communication skills by crafting and delivering business pitches, participating in structured debates, and conducting interviews with entrepreneurs and mentors.
- You will gain professional development experience through interaction with industry mentors, peer collaboration, and exposure to current challenges in food and agricultural markets.
- Finally, you will have opportunities to practice leadership by working in teams, taking initiative in your final business case project, and guiding your peers through collaborative learning experiences.
Class Readings
This course draws on two primary sources:
Kuratko, Donald F. Entrepreneurship: Theory, Process, Practice, 12th Edition. Cengage.
This is our core textbook. Weekly quizzes will be based on assigned chapters.Harvard Business Publishing Coursepack
Includes all required case studies used for Thursday case discussions.
👉 Access Coursepack Here
Both the textbook and case studies are required for full participation in the course. Additional readings and materials may be posted online throughout the semester.
Grading
Final grades will be calculated as follows:
Item | Weight | Notes |
---|---|---|
Weekly Quizzes | 10 % | 12 quizzes, lowest two scores dropped |
Midterm Exam | 20 % | In-class exam covering weeks 2–7 |
Case Study: Fishbowl Assignment | 20 % | Based on your assigned fishbowl week |
Case Study: Observer Assignment | 10 % | Based on your assigned observer week |
Case Study: Weekly Reflections | 15 % | 9 required + 1 homework assignment for the Case Companion in Week 1 |
Podcase | 10 % | Team-produced episode and transcript |
Business Case Competition | 15 % | Final pitch + written brief |
All assignments—quizzes, reflections, case write-ups, and project materials—will be submitted via Canvas. Deadlines and submission links will be listed in the weekly modules.
Students will be placed in teams of four for both the podcase and the final business case competition. Each pod will be paired with a mentor based on preferences and interests. Think of this as a “mentor match,” and you’ll stick with this team throughout the semester.
Grading Policies
- Late submissions are not accepted. Any assignment submitted after the deadline will automatically receive a zero.
- Quiz Policy: The two lowest quiz scores will be dropped when calculating your final grade.
- All graded components are weighted individually and not curved.
- Participation in both Fishbowl and Observer roles is required for passing the course.
Grading Scale
Grade | Range | Grade | Range |
---|---|---|---|
A+ | 100% – 96.67% | C+ | 79.99% – 76.67% |
A | 96.66% – 93.34% | C | 76.66% – 70.00% |
A- | 93.33% – 90.00% | D | 69.99% – 60.00% |
B+ | 89.99% – 86.67% | F | < 60.00% |
B | 86.66% – 83.34% | ||
B- | 83.33% – 80.00% |
In accordance with Canvas Grading Schemes.
Grades are assigned based on demonstrated learning outcomes—not effort alone. However, consistent effort does improve your ability to meet expectations and raise your performance over time.
Principles of Community
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Inclusion: We create and nurture inclusive environments and welcome, value and affirm all members of our community, including their various identities, skills, ideas, talents, and contributions.
Integrity: We are accountable for our actions and will act ethically and honestly in all our interactions.
Respect: We honor the inherent dignity of all people within an environment where we are committed to freedom of expression, critical discourse, and the advancement of knowledge.
Service: We are responsible, individually and collectively, to give of our time, talents, and resources to promote the well-being of each other and the development of our local, regional, and global communities.
Social Justice: We have the right to be treated and the responsibility to treat others with fairness and equity, the duty to challenge prejudice, and to uphold the laws, policies and procedures that promote justice in all respects.
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Examples of academic misconduct include (but are not limited to):
Cheating – Cheating includes using unauthorized sources of information and providing or receiving unauthorized assistance on any form of academic work or engaging in any behavior specifically prohibited by the instructor in the course syllabus or class presentation.
Plagiarism – Plagiarism includes the copying of language, structure, images, ideas, or thoughts of another, and representing them as one’s own without proper acknowledgment, and is related only to work submitted for credit. Also included is the failure to cite sources properly; sources must always be appropriately referenced, whether the source is printed, electronic or spoken.
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Policy on Use of Generative AI
You may use generative AI tools (e.g., ChatGPT) as a research assistant to help you solve problems and to help you understand the concepts used in this course. However, if you choose to use such tools, you are claiming the resulting work as your own, and you bear full responsibility for its accuracy and appropriateness. In your assignments, you must disclose if AI tools were used and how. Doing so may not harm your grade; rather, it helps me guide you in using these tools effectively to enhance your grasp of the material. Remember, generative AI cannot advocate for itself or provide proper attributions; it is your responsibility to ensure integrity in your work.