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| IST2009 | Technical English - I | 2+0+0 | ECTS:4 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of STATISTICS and COMPUTER SCIENCES | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Arş. Gör. Yeşim AKBAŞ | | Co-Lecturer | None | | 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 Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Read and understand sources prepared in foreign languages. | 6,11 | 1, | | LO - 2 : | Make research about a scientific topic. | 6,11 | 1, | | LO - 3 : | Learn foreing language equivalents of important topics in their field. | 6,11 | 1, | | 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 | | |
| Sampling and data, Descriptive statistics, linear regression and correlation, probability topics,, discrete random variable,, continuous random variable, normal distribution |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction | | | Week 2 | Sampling and Data | | | Week 3 | Sampling and Data | | | Week 4 | Descriptive Statistics | | | Week 5 | Descriptive Statistics | | | Week 6 | Linear Regression and Correlation | | | Week 7 | Linear Regression and Correlation | | | Week 8 | Probability Topics | | | Week 9 | Mid Term Exam | | | Week 10 | Probability Topics | | | Week 11 | Discrete Random Variables | | | Week 12 | Discrete Random Variables | | | Week 13 | Continuous Random Variables | | | Week 14 | Continuous Random Variables | | | Week 15 | Normal Distribution | | | Week 16 | Final Exam | | | |
| 1 | Kathy Chu, Ph.D., Susan Dean, Barbara Illowsky, Ph.D., Elementary Statistics Online: < http://cnx.org/content/col10966/1.4/ >
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| Method of Assessment | | Type of assessment | Week No | Date | 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 work | Duration (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 load | | | 76 |
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