Course Name | Code | Semester | T+U Hours | Credit | ECTS |
---|---|---|---|---|---|
Statistics | IME 305 | 5 | 2 + 0 | 2 | 2 |
Precondition Courses | |
Recommended Optional Courses | |
Course Language | Turkish |
Course Level | Bachelor's Degree |
Course Type | Compulsory |
Course Coordinator | Arş.Gör.Dr. ÖZKAN ERGENE |
Course Lecturers | Arş.Gör.Dr. ÖZKAN ERGENE, |
Course Assistants | Res. Assist. Özkan ERGENE |
Course Category | Available Basic Education in the Field |
Course Objective | Learning the basic concepts of statistics and using them to solve related problems |
Course Content | Sampling; Regulation and analysis of data; Sampling distribution and estimation; Concept of trust interval; Range estimation for the difference of two mass averages; Range estimation for the ratio of two mass variances; Interval estimation for the binomial parameter p; Hypothesis tests; Correlation and regression. |
# | Course Learning Outcomes | Teaching Methods | Assessment Methods |
---|---|---|---|
1 | Students will calculate descriptive statistics. | Lecture, Drilland Practice, | Testing, Homework, |
2 | Students will interpret descriptive statistics in scientific research | Question-Answer, Discussion, | Testing, Homework, |
3 | Students will apply central tendency measures. | Lecture, Drilland Practice, | Testing, Homework, |
4 | Students will define the data obtained from various subjects. | Question-Answer, Discussion, | Testing, Homework, |
5 | Students will apply central distribution measures. | Lecture, Drilland Practice, | Testing, Homework, |
6 | Students will calculate inferential statistics | Lecture, Drilland Practice, | Testing, Homework, |
7 | Students will apply correlation and regression analysis | Lecture, Drilland Practice, | Testing, Homework, |
Week | Course Topics | Preliminary Preparation |
---|---|---|
1 | Sampling | |
2 | Regulation and analysis of data | |
3 | Regulation and analysis of data | |
4 | Sampling distribution and estimation | |
5 | Concept of trust interval | |
6 | Range estimation for the difference of two mass averages | |
7 | Range estimation for the difference of two mass averages | |
8 | Range estimation for the ratio of two mass variances | |
9 | Midterm | |
10 | Interval estimation for the binomial parameter p | |
11 | Interval estimation for the binomial parameter p | |
12 | Hypothesis tests | |
13 | Correlation and regression | |
14 | Correlation and regression |
Resources | |
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Course Notes | |
Course Resources | Olasılık ve İstatistik, Fikri Akdeniz, Akademisyen Kitabevi İstatistik, Tuncer Özdil-Adil Oğuzhan-Metin Çakıcı, Ekin Basım Yayın Olasılık ve İstatistiğe Giriş, Sheldon M. Ross, Nobel Akademik Yayıncılık |
Order | Program Outcomes | Level of Contribution | |||||
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1 | 2 | 3 | 4 | 5 | |||
1 | X | ||||||
2 | X | ||||||
3 | X | ||||||
4 | |||||||
5 | |||||||
6 | |||||||
7 | |||||||
8 | |||||||
9 | |||||||
10 | |||||||
11 | |||||||
12 | |||||||
13 | |||||||
14 | |||||||
15 | |||||||
16 | |||||||
17 |
Evaluation System | |
---|---|
Semester Studies | Contribution Rate |
1. Ara Sınav | 60 |
1. Kısa Sınav | 15 |
1. Ödev | 10 |
2. Kısa Sınav | 15 |
Total | 100 |
1. Yıl İçinin Başarıya | 50 |
1. Final | 50 |
Total | 100 |
ECTS - Workload Activity | Quantity | Time (Hours) | Total Workload (Hours) |
---|---|---|---|
Course Duration (Including the exam week: 16x Total course hours) | 16 | 2 | 32 |
Hours for off-the-classroom study (Pre-study, practice) | 16 | 1 | 16 |
Mid-terms | 1 | 3 | 3 |
Quiz | 2 | 2 | 4 |
Assignment | 1 | 2 | 2 |
Final examination | 1 | 5 | 5 |
Total Workload | 62 | ||
Total Workload / 25 (Hours) | 2.48 | ||
dersAKTSKredisi | 2 |