FUNDAMENTALS OF ECONOMICS

Course Description

This course provides a foundational understanding of economics, covering essential concepts that underpin both microeconomics and macroeconomics. Students will explore key topics such as supply and demand, market structures, the role of government in the economy, inflation, unemployment, and international trade. The course emphasizes the importance of economic reasoning and decision-making, providing students with the tools to analyze economic issues in both personal and professional contexts. By completion of the course, students will have a solid grasp of basic economic principles.

FUNDAMENTALS OF ECONOMICS

Evaluation Tools (Active Term)

Course outcomes

1. 01 Cognizance tht agriculture is indeed a type of business enterprise
2. 02 Awareness of risks particular to agriculture
3. 03 Awreness of the spcificity of markets in agricultural commodities
4. 04 Appreciation fo the different types of costs particular to agriculture
5. 05 Apreciation of the improtance of cash flows and money managemet

Course Syllabus

Reference Books & Course Materials

1. 01 Drummond, H, and Goodwin, Johnd W: "Agricultural Economics", third eition Pearson ISBN-13-978-01-36071921

Learning Outcomes

1. L01 Cognizance tht agriculture is indeed a type of business enterprise
2. L02 Awareness of risks particular to agriculture
3. L03 Awreness of the spcificity of markets in agricultural commodities
4. L04 Appreciation fo the different types of costs particular to agriculture
5. L05 Apreciation of the improtance of cash flows and money managemet

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix