TÜRKÇE
ENGLISH
Information
| Code | ISB253 |
| Name | Professional English |
| Term | 2022-2023 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. NİMET ÖZBAY |
| Course Instructor |
Doç. Dr. NİMET ÖZBAY
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To enable students to comprehend the knowledge they have acquired about basic probability and statistics in English and to improve their English problem solving skills.
Course Content
Statistics and Variables, Basic Probability-Solved and Supplementary Problems, Random Variables and Probability Distributions- Solved and Supplementary Problems, Mathematical Expectation -Solved and Supplementary Problems, Some Special Probability Distributions- Solved and Supplementary Problems
Course Precondition
None
Resources
1-Schaum's Outline of Statistics, Schaum's Outline Series, Murray R. Spiegel, Larry J. Stephens, McGraw Hill Professional, 2007. 2-Schaum's Outline of Probability and Statistics, Schaum's Outline Series, Murray R. Spiegel, John J. Schiller, R. Alu Srinivasan, McGraw Hill Professional, 2013.
Notes
Lecture Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understands statistics and variables in English along with some mathematical concepts |
| LO02 | Learns about random experiments, sample spaces and the concept of probability in English |
| LO03 | Has knowledge and problem solving skills in English about permutations and combinations |
| LO04 | Examines random variables, discrete and continuous probability distributions, distribution functions, joint distributions, independent random variables and conditional distributions in English |
| LO05 | Comprehends the subject of mathematical expected value in English and has problem solving skills related to this subject |
| LO06 | Examines the mean, median, mode and other measures of central tendency in English |
| LO07 | Learns about the standard deviation and other measures of dispersion in English |
| LO08 | Understands moments, skewness and kurtosis in English |
| LO09 | Gets information about some special probability distributions in English |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Define basic principles and concepts in the field of Law and Economics | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Produce numeric and statistical solutions in order to overcome the problems | 2 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer systems and softwares | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 3 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Make statistical inference(estimation, hypothesis tests etc.) | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques | 2 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programme | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Construct a model and analyze it by using statistical packages | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | 4 |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Be aware of the interaction between the disciplines related to statistics | 3 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | 4 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | 2 |
| PLO17 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs | 2 |
| PLO18 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Statistics, population and sample, discrete and continuous variables, functions, equations and inequalities | Reading the source | Öğretim Yöntemleri: Anlatım |
| 2 | Random experiments, sample spaces, events, the concept of probability, conditional probability, independent events and examples | Reading the source | Öğretim Yöntemleri: Anlatım, Problem Çözme, Alıştırma ve Uygulama |
| 3 | Permutations and combinations along with some problems | Reading the source | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 4 | Random variables, discrete and continuous probability functions, distribution functions and examples | Reading the source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 5 | Joint distributions, independent random variables, conditional distributions and solved problems | Reading the source | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 6 | Definition of mathematical expectation and solved problems | Reading the source | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 7 | Solved and Supplementary Problems | Reading the source | Öğretim Yöntemleri: Alıştırma ve Uygulama, Problem Çözme |
| 8 | Mid-Term Exam | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Variance and standard deviation, moment generating functions, covariance, correlation coefficient | Reading the source | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 10 | Conditional expectation, variance and moments, Chebyshev's inequality, mode, median, percentiles, skewness and kurtosis | Reading the source | Öğretim Yöntemleri: Anlatım |
| 11 | Bernoulli distribution, binomial distribution, law of large numbers and solved problems | Reading the source | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 12 | Normal distribution, relation between binomial and normal distributions and some solved problems | Reading the source | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 13 | Poisson distribution, relation between poisson and normal distributions and some solved problems | Reading the source | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 14 | The central limit theorem, multinomial distribution, hypergeometric distribution, uniform distribution, Cauchy distribution, gamma distribution, beta distribution and some solved problems | Reading the source | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 15 | Chi-square distribution, Student's t distribution, F distribution, bivariate normal distribution, geometric distribution, negative binomial distribution, exponential distribution and some solved and supplementary problems | Reading the source | Öğretim Yöntemleri: Anlatım, Problem Çözme |
| 16 | Term Exams | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 78 | ||
| Total Workload / 25 (h) | 3,12 | ||
| ECTS | 3 ECTS | ||