ISB253 Professional English

3 ECTS - 2-0 Duration (T+A)- 3. Semester- 2 National Credit

Information

Code ISB253
Name Professional English
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 Goal

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