Türkçe English Rapor to Course Content
COURSE SYLLABUS
STATISTICAL METHODS
1 Course Title: STATISTICAL METHODS
2 Course Code: GMD1402
3 Type of Course: Compulsory
4 Level of Course: First Cycle
5 Year of Study: 1
6 Semester: 2
7 ECTS Credits Allocated: 5
8 Theoretical (hour/week): 1
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. CENGİZ ELMACI
16 Course Lecturers: Prof.Dr.Cengiz ELMACI
Prof.Dr.Abdurrahim Tanju GÖKSOY
17 Contactinformation of the Course Coordinator: Prof. Dr. Cengiz ELMACI
Bursa Uludağ Üniversitesi, Ziraat Fakültesi
Zootekni Bölümü
Tel: 0(224)2941554
e-posta:elmaci@uludag.edu.tr
18 Website:
19 Objective of the Course: Gain knowledge basic statistical principals used in food and biology field with their samples
20 Contribution of the Course to Professional Development 1)They will increase productivity in the professional job by using basic statistical methods. 2)They are able some decision more objectively in production process. 3)They will show rational and successful management by benefit the statistical methods.
21 Learning Outcomes:
1 Having the ability of forming the hypotheses for the trials;
2 Ability to test the hypotheses;
3 Planning of the experiments;
4 Ability to appreciate the measurement and data collection methods;
5 Being able to apply the suitable statistically analyses for data;
6 Knows evaluation and interpretation of results;
7 Ability to earn skill on objective deciding ;
8 Being able to apply the basic statistical technics and methods;
22 Course Content:
Week Theoretical Practical
1 Introduction to statistics; some definitions, population and sample Solving problems about population and sample
2 Data and summarization of the data Solving problems about distribution of frequency
3 Descriptive statistics Solving problems about mean, variance, Standard deviation, Standard error, median and mode
4 Linear correlation and regression Solving problems about linear correlation and regression
5 Test, incident and probability Solving problems about test and probability
6 Discrete probability distributions (poisson and binomial distributions) Solving problems about poisson and binomial distributions
7 Continuous probability distribution (Normal distribution) Overview; Mid-term Exam
8 Continuous probability distribution (Normal distribution) Solving problems about Normal distribution
9 Sampling distributions Solving problems about sampling distributions
10 Test distributions; z and t tests Solving problems about z and t tests
11 Test distributions; F test and Chi-square test Solving problems about F and Chi-square tests
12 Statistical estimation; Point estimation of population mean Solving problems about statistical estimation
13 Estimation of some parameters and confidence interval Solving problems about confidence interval
14 Testing hypothesis Solving problems about testing hypothesis
23 Textbooks, References and/or Other Materials: İstatistik, Z. Metin Turan. U.Ü. Z.F. Ders Notları,No: 78.
İstatistik Metodları. O.Düzgüneş. Ankara Ü. Z.F. Yayınları No:578
İstatistiğe Giriş. H. Püskülcü ve F. İkiz. Ege Üniversitesi Basımevi, Bornova-İzmir
24 Assesment
TERM LEARNING ACTIVITIES NUMBER PERCENT
Midterm Exam 1 40
Quiz 0 0
Homeworks, Performances 0 0
Final Exam 1 60
Total 2 100
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 For assessment and evaluation, article 29 of the Bursa Uludag University Rules and Regulations governing undergraduate studies are used.
Information Relative evaluation system(RES) are used to determine for success of student.
25 ECTS / WORK LOAD TABLE
Activites NUMBER TIME [Hour] Total WorkLoad [Hour]
Theoretical 14 1 14
Practicals/Labs 14 2 28
Self Study and Preparation 14 3 42
Homeworks, Performances 0 2 24
Projects 0 0 0
Field Studies 0 0 0
Midtermexams 1 14 14
Others 4 2 8
Final Exams 1 20 20
Total WorkLoad 150
Total workload/ 30 hr 5
ECTS Credit of the Course 5
26 CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11
LO1 4 5 0 0 5 0 0 0 0 0 0
LO2 4 5 0 0 5 0 0 0 0 0 0
LO3 4 0 0 0 5 0 0 0 0 0 0
LO4 4 0 0 0 5 0 0 0 0 0 0
LO5 4 5 0 0 5 0 0 0 0 0 0
LO6 4 5 0 0 5 0 0 0 0 0 0
LO7 4 5 0 0 5 0 0 0 0 0 0
LO8 4 0 0 5 5 0 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
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