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| Course Description |
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| Course Name |
: |
Theory of Probability and Distribution |
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| Course Code |
: |
ST-503 |
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| Course Type |
: |
Optional |
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| Level of Course |
: |
Second Cycle |
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| Year of Study |
: |
1 |
|
| Course Semester |
: |
Fall (16 Weeks) |
|
| ECTS |
: |
6 |
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| Name of Lecturer(s) |
: |
Prof.Dr. MUSTAFA AKAR
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| Learning Outcomes of the Course |
: |
Learns the basic theorems of probability , probability distribution functions, expected value, variance and two-dimensional functions
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| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
Teaching the basic theories of probability distribution functions, expected value, variance, two-dimensional functions
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|
| Course Contents |
: |
Probability; random variables; probability functions; expected value and moment generating functions; bivariate or multivariate variables and probability distributions; discrete probability distributions (binomial. multinomial, geometric, hypergeometric, negative binomial and poisson) and continuous probability distributions (uniform and normal distributions) ; normal approximation to binomial and Poisson; central limit theorem.
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Classrooms of Fisheries Faculty |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Introduction |
|
Visual and oral presentation |
|
2 |
Probability; |
Reading lecture notes , studying homework |
Visual and oral presentation |
|
3 |
random variables |
Reading lecture notes, studying homework |
Visual and oral presentation |
|
4 |
probability functions |
Reading lecture notes, studying homework |
Visual and oral presentation |
|
5 |
probability functions |
Reading lecture notes, studying homework |
Exam |
|
6 |
expected value and moment generating functions |
Reading lecture notes, studying homework |
Visual and oral presentation |
|
7 |
bivariate or multivariate variables and probability distributions |
Reading lecture notes, studying homework |
Visual and oral presentation |
|
8 |
Mid-term exam |
studying for exam |
WrittenExam |
|
9 |
discrete probability distributions
|
Reading lecture notes, studying homework |
Visual and oral presentation |
|
10 |
discrete probability distributions |
Reading lecture notes, studying homework |
Visual and oral presentation |
|
11 |
continuous probability distributions |
Reading lecture notes, studying homework |
Visual and oral presentation |
|
12 |
continuous probability distributions |
Reading lecture notes, studying homework |
Visual and oral presentation |
|
13 |
normal approximation to binomial and Poisson |
Reading lecture notes, studying homework |
Visual and oral presentation |
|
14 |
central limit theorem.
|
Reading lecture notes, studying homework |
Visual and oral presentation |
|
15 |
central limit theorem |
Reading lecture notes, studying homework |
Visual and oral presentation |
|
16/17 |
Final Exam |
Studying for exam |
Written Exam |
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|
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 M. AKAR, 1983 APPLİED STATİSTİCS-I FOR ECONOMİCS AND BUSİNESS Ç.Ü. İKTİSADİ VE İDARİ BİLİMLER FAKÜLTESİ FAKÜLTESİ, ADANA.
Morris H. DeGroot 1986 Probability and statistics. Addison-Wesley publishing Company. Londra
M. AKAR, S. ŞAHİNOĞLU, 1993 İSTATİSTİK. Ç.Ü. ZİRAAT FAK. YAY. ADANA.
H. PÜSKÜLCÜ, F. İKİZ 1983. İSTATİSTİĞE GİRİŞ, E.Ü. MÜHENDİSLİK FAKÜLTESİ DERS KİTABI, İZMİR.
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| |
| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
70 |
|
Homeworks/Projects/Others |
12 |
30 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
|
Final Assessments
|
100 |
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Rate of Final Assessments to Success
|
60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Improves theoretical and practical knowledge in the field of Marine and Inland Water Biology and Fisheries Basic Sciences. |
4 |
|
2 |
Comprehends interactions between Fisheries Basic Sciences and other disciplines. |
4 |
|
3 |
Determines strategies and investigates methods about their field of study in Fisheries Basic Science. |
4 |
|
4 |
Produces new information and theories by interpreting and synthesising the information from other disciplines and uses the theoretical and practical information from their field of study in Fisheries Basic Science. |
4 |
|
5 |
Collects data, interprets results and suggests solutions by using dialectic research methodology in the certain field of Marine and Inland Water Biology and Fisheries Basic Sciences. |
4 |
|
6 |
Independently plans, designs and performs a certain project in the field of Fisheries Basic Sciences. |
4 |
|
7 |
Produces solutions by improving new strategic approaches and taking responsibilities for the potential problems in the field of study as an individual or team member. |
3 |
|
8 |
Determines the requirements for Fishery Basic Science education, reaches the resources, critically interpretes knowledge and skills and gains experience to direct the education. |
4 |
|
9 |
Has positive stance on the lifelong education and uses it for the public benefit by using the gained theoretical and practical knowledge in the field of Marine and Inland Water Biology and Fisheries Basic Sciences. |
3 |
|
10 |
Follows the current topics and improvements in the field of Fisheries Basic Sciences, publishes and presents the research results, contributes to constitution of a public conscience in the field of interest. |
3 |
|
11 |
Effectively communicates about the field of Marine and Inland Water Biology and Fisheries Basic Sciences by using written and oral presentation tools, follows up and criticizes the meetings and seminars. |
3 |
|
12 |
Follows up international publications and communicates with international collaborators by using language skills. |
4 |
|
13 |
Uses the communication and information technologies about the field of interest in an advanced level. |
4 |
|
14 |
Conforms, controls and teaches social, cultural and scientific ethics in the investigation and publication process of the data related with the field of interest. |
4 |
|
15 |
Improves strategies, politics and application codes by following scientific and technological developments on the certain field of Marine and Inland Water Biology and Fisheries Basic Sciences. Investigates and extends the results on behalf of public in frame of total quality management process. |
3 |
|
16 |
Uses the abilities and experiences on applications and solving problems that gained during the MSc education for the interdisciplinary studies. |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
|
Class Time (Exam weeks are excluded) |
14 |
4 |
56 |
|
Out of Class Study (Preliminary Work, Practice) |
14 |
4 |
56 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
12 |
2 |
24 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
3 |
3 |
|
Final Exam |
1 |
3 |
3 |
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Total Workload: | 142 |
| Total Workload / 25 (h): | 5.68 |
| ECTS Credit: | 6 |
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