Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
---|---|---|---|---|---|
Engıneerıng Statıstıcs-I | ENM 205 | 3 | 4 + 0 | 4 | 6 |
Ön Koşul Dersleri | |
Önerilen Seçmeli Dersler | |
Dersin Dili | Türkçe |
Dersin Seviyesi | Lisans |
Dersin Türü | Zorunlu |
Dersin Koordinatörü | Doç.Dr. GÜLTEKİN ÇAĞIL |
Dersi Verenler | Doç.Dr. GÜLTEKİN ÇAĞIL, Doç.Dr. TİJEN ÖVER ÖZÇELİK, |
Dersin Yardımcıları | |
Dersin Kategorisi | Diğer |
Dersin Amacı | Introducing students to the probability theory, and teaching basic statistical concepts |
Dersin İçeriği | Organizing and analyzing data, introduction to probability, rules of probability, random variables |
# | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
---|---|---|---|
1 | Student will be able to classify raw data, determine frequency distribution and calculate central location measurements and variability of data | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, | Testing, Homework, |
2 | Student will be able to construct visual data displays including the histogram and box plot according to central location and variability measurements, and interpret frequency distribution of data | Lecture, Question-Answer, Drilland Practice, Demonstration, | Testing, Homework, |
3 | Student will be able to calculate moments of data, and interpret skewness and kurtosis of distribution. | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, | Testing, Homework, |
4 | Student will be able to understand and describe sample spaces and events for random experiments with graphs, tables, lists | Discussion, Drilland Practice, Lecture, Question-Answer, | Testing, Homework, |
5 | Student will be able to interpret probabilities and use probabilities of outcomes to calculate probabilities of events in discrete/ continuous sample spaces and and calculate conditional probabilities of events | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, | Testing, Homework, |
6 | Student will be able to determine the independence of events and use independence to calculate probabilities | Lecture, Question-Answer, Discussion, Drilland Practice, | Testing, Homework, |
7 | Student will be able to use Bayes’ theorem to calculate conditional probabilities | Lecture, Question-Answer, Discussion, Drilland Practice, | Testing, Homework, |
8 | Student will be able to understand random variables | Lecture, Question-Answer, Discussion, Drilland Practice, | Testing, Homework, |
9 | Student will be able to determine probabilities from (discrete/continuous) probability mass functions and the reverse | Lecture, Question-Answer, Discussion, Drilland Practice, | Testing, Homework, |
10 | Student will be able to determine probabilities from cumulative distribution functions and cumulative distribution functions from probability mass functions, and the reverse | Lecture, Question-Answer, Discussion, Drilland Practice, | Testing, Homework, |
11 | Student will be able to calculate means and variances for discrete/continuous random variables | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, | Testing, Homework, |
12 | Student will be able to use joint probability mass functions and joint probability density functions to calculate probabilities, and calculate marginal and conditional probability distributions from joint probability distributions | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, | Testing, Homework, |
13 | Student will be able to interpret and calculate covariances and correlations between random variables | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, | Testing, Homework, |
14 | Student will be able to calculate probabilities, determine means and variances for each of the discrete /continuous probability distributions presented | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, | Testing, Homework, |
15 | Student will be able to select an appropriate discrete/continuous probability distribution to calculate probabilities in specific applications | Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, | Testing, Homework, |
Hafta | Ders Konuları | Ön Hazırlık |
---|---|---|
1 | Introduction to basic concepts of statistics | |
2 | Organizing and analyzing data, Graphical representations and measures | |
3 | Measures of Central Tendency | |
4 | Deviation, Distribution, Variability | |
5 | Asymmetry and kurtosis Measurements | |
6 | Independent events, Conditional Probability, Bayes´ theorem | |
7 | Random variables and distribution of a random variable | |
8 | Conditional Probability, multiplication and Addition rule, and Bayes' Theorem | |
9 | Random Variable, Discrete and Continuous Probability Density Function | |
10 | Probability Distribution Function | |
11 | Distribution of Two or More Dimensional Random Variables | |
12 | Compound Probability Distribution Function and Mariginal Functions | |
13 | Expected Value and Moments | |
14 | Covariance and Correlation |
Kaynaklar | |
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Ders Notu | www.gultekincagil.com lecture notes published on this link |
Ders Kaynakları |
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Sıra | Program Çıktıları | Katkı Düzeyi | |||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |||
1 | Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. | X | |||||
2 | Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. | X | |||||
3 | Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. | X | |||||
4 | Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. | X | |||||
5 | Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. | X | |||||
6 | Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually | ||||||
7 | Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language | ||||||
8 | Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology | ||||||
9 | Engineering graduates with well-structured responsibilities in profession and ethics | ||||||
10 | Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. | X | |||||
11 | Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. |
Değerlendirme Sistemi | |
---|---|
Yarıyıl Çalışmaları | Katkı Oranı |
1. Ara Sınav | 50 |
1. Kısa Sınav | 10 |
1. Ödev | 30 |
2. Kısa Sınav | 10 |
Toplam | 100 |
1. Yıl İçinin Başarıya | 50 |
1. Final | 50 |
Toplam | 100 |
AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
---|---|---|---|
Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
Mid-terms | 1 | 10 | 10 |
Assignment | 6 | 6 | 36 |
Performance Task (Laboratory) | 1 | 5 | 5 |
Final examination | 1 | 5 | 5 |
Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
Toplam İş Yükü | 152 | ||
Toplam İş Yükü / 25 (Saat) | 6,08 | ||
Dersin AKTS Kredisi | 6 |