1	Course Title:	QUANTITATIVE TECHNIQUES IN AGRICULTURE
2	Course Code:	TEK4734
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	4
6	Semester:	8
7	ECTS Credits Allocated:	3
8	Theoretical (hour/week):	2
9	Practice (hour/week) :	2
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. Tolga TİPİ
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	ttipi@uludag.edu.tr, Tel:0 (224) 2941590 U.Ü. Ziraat Fakültesi Tarım Ekonomisi Bölümü Görükle/Bursa
18	Website:
19	Objective of the Course:	The objective of this course is to enable the students to learn quantitative techniques as a tool for farm management and solving resource use problems.
20	Contribution of the Course to Professional Development	Students can solve the problems they will encounter in business management in their professional lives using a mathematical model.

21

Learning Outcomes:

1 Ability to use different mathematical modelling techniques; 2 Ability of problem solving and decision making by using quantitative techniques; 3 Ability to use computer for solving quantitaive probelms; 4 Ability of systematic approach to issues of economics and management;

22	Course Content:

Week	Theoretical	Practical
1	Introduction to Quantitative Techniques	Needed Basic Mathematical practices
2	Linear Programming: The Graphical Method	Problem solving
3	Linear Programming: The Simplex Method; Algebraic properties of the simplex method, the simplex tableau	Problem solving with using LINDO and QSB
4	Duality and Sensitivity Analysis	Problem solving with using LINDO and QSB and interpretations
5	Integer programming (Gomory Cutting Plane Algortihm and Brand and Bound Method)	Problem solving
6	Nonlinear Programming (Concav and Convex Functions)	Problem solving
7	Nonlinear Programming (The Kuhn-Tucker Conditions and Lagrange Multipliers)	Problem solving
8	Course Review and Midterm Exam	Solving the exam questions
9	Dynamic Programming	Problem solving
10	Inventory Models (The Basic Economic Order Quantity Model)	Problem solving
11	Markov Chains Analysis	Problem solving
12	Markov Chains Analysis(Transition Probabilites Matrix)	Problem solving
13	Project Planning and Control Methods (PERT)	Problem solving
14	Project Planning and Control Methods (CPM)	Problem solving

23	Textbooks, References and/or Other Materials:	1. Rehber, E., 2004. Operations Research in Agriculture (Tarımda Yöneylem Araştırması), Unpublished Lecture Notes. (In Turkish) 2. Öztürk, A., 1984. Operations Research (Yöneylem Araştırması), Uludağ University Publications, Publication No: 3-0450-0113, Uludağ University Printing House. (In Turkish) 3. Halaç, O., 1978. Quantitative Decision-Making Techniques (Operations Research) (Kantitatif Karar Verme Teknikleri - Yöneylem Araştırması), Istanbul University, Publication No: 2501, Arpaz Printing, Istanbul. (In Turkish) 4. WINSTON, W.L., Operations Research (Applicaitons and Algorithms), Duxbury Press, USA, 2004. 5. Render B., Stair R.M. Jr., Hanna M.E., Quantitative Analysis for Management, Pearson Education Inc.,2003.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	30
Quiz	1	10
Homeworks, Performances	0	0
Final Exam	1	60
Total	3	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	During the semester, students will be responsible project tasks. Besides, a final exam with open-ended questions will be conducted at the end of the semester.
Information

25

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	2	28
Practicals/Labs	14	2	28
Self Study and Preparation	0	0	0
Homeworks, Performances	0	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	12	12
Others	0	0	0
Final Exams	1	22	22
Total WorkLoad			90
Total workload/ 30 hr			3
ECTS Credit of the Course			3

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 0 0 3 4 4 5 0 0 0 0 0 0 LO2 0 0 0 5 5 5 0 0 0 0 0 0 LO3 0 0 0 5 4 5 0 0 0 0 0 0 LO4 0 0 5 5 4 5 4 0 0 0 0 0

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High