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FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES

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FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES /
Katalog Ana Sayfa
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IST2009Technical English - I2+0+0ECTS:4
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of STATISTICS and COMPUTER SCIENCES
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 2 hours of lectures per week
LecturerArş. Gör. Yeşim AKBAŞ
Co-LecturerNone
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
To introduce students to their professional terminology and improve their reading comprehension and pronunciation skills in English.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : Read and understand sources prepared in foreign languages.6,111,
LO - 2 : Make research about a scientific topic.6,111,
LO - 3 : Learn foreing language equivalents of important topics in their field.6,111,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Sampling and data, Descriptive statistics, linear regression and correlation, probability topics,, discrete random variable,, continuous random variable, normal distribution
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction
 Week 2Sampling and Data
 Week 3Sampling and Data
 Week 4Descriptive Statistics
 Week 5Descriptive Statistics
 Week 6Linear Regression and Correlation
 Week 7Linear Regression and Correlation
 Week 8Probability Topics
 Week 9Mid Term Exam
 Week 10Probability Topics
 Week 11Discrete Random Variables
 Week 12Discrete Random Variables
 Week 13Continuous Random Variables
 Week 14Continuous Random Variables
 Week 15Normal Distribution
 Week 16Final Exam
 
Textbook / Material
1Kathy Chu, Ph.D., Susan Dean, Barbara Illowsky, Ph.D., Elementary Statistics Online: < http://cnx.org/content/col10966/1.4/ >
2Kathy Chu, Ph.D., Susan Dean, Barbara Illowsky, Ph.D., Elementary Statistics Online: < http://cnx.org/content/col10966/1.4/ >
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 22/11/2021 90 50
End-of-term exam 16 10/01/2022 90 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 2 16 32
Sınıf dışı çalışma 10 1 10
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 10 1 10
Arasınav 2 1 2
Uygulama 0 0 0
Klinik Uygulama 0 0 0
Ödev 0 1 0
Proje 0 1 0
Kısa sınav 0 0 0
Dönem sonu sınavı için hazırlık 20 1 20
Dönem sonu sınavı 2 1 2
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load76