Course Name Code Semester T+U Hours Credit ECTS
Probability and Statistics CVM 210 4 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Doç.Dr. GÜLGÜN DEDE
Course Lecturers Doç.Dr. GÜLGÜN DEDE,
Course Assistants
Course Category
Course Objective The aim is to inform students about the Basic statistical techniques. Data collecting, arrangement and analyzing some statistical techniques. Random events and their probabilities. Relationships and analysing between two or more variables.
Course Content Basic notions, presentation of data with statistical series and graphics, Central tendency measures, Deviation measures, skewness and kurtosis measures, Set theory, counting techniques and probability rules, Probability distributions, Discrete and continuous probability distributions, Regression and correlation analysis
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Population and sampling notions Lecture, Question-Answer, Motivations to Show, Homework,
2 Data collection, arrangement and graphical presentation Lecture, Drilland Practice, Motivations to Show, Homework,
3 Data analysis using simple statistic techniques, means, deviations, skewness and kurtosis and comments. Lecture, Drilland Practice, Motivations to Show, Problem Solving, Testing, Homework,
4 Probability notion and solution of probability problems. Lecture, Discussion, Drilland Practice, Problem Solving, Testing, Oral Exam, Homework,
5 Probability distributions Lecture, Drilland Practice, Self Study, Problem Solving, Testing, Oral Exam, Homework,
6 Analysis of relationships between two or more variables Lecture, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Basic statistical notions and graphics
2 Measures of Central Tendency, Arithmetic mean, weighted arithmetic mean, Geometric, Harmonic and Quadratic means.
3 Mod, median and quartiles, graphical presentation of mod and median, relation
4 Deviation measures, range, interquartile range, mean absolute deviation
5 Standard deviation, variation coefficient
6 Skewness and Kurtosis, Pearson and Bowley skewness measures and moments
7 Skewness and kurtosis measures based on Central moment
8 Probability notion, set theory, counting techniques.
9 Sample space and event, probability definitions, probability theories and axioms, conditional probability.
10 Depend and Independent events, Bayes theorem
11 Discrete probability distributions, Binomial, Poisson, Hypergeometric distribution
12 Continuous probability distributions, Uniform, Exponential, Normal distribution.
13 Relationships between two or more variables, correlation, determination and undetermination coefficients.
14 Regression analysis, Simple linear regression, Last square estimation
Course Notes 1. Probability and statistics for engineering and the sciences by Jay L. Devore. 2015.
Course Resources
Order Program Outcomes Level of Contribution
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.
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.
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.
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.
Evaluation System
Semester Studies Contribution Rate
1. Ödev 10
1. Ara Sınav 50
1. Kısa Sınav 20
2. Kısa Sınav 20
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 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 10 10
Assignment 3 3 9
Performance Task (Laboratory) 1 20 20
Final examination 1 5 5
Total Workload 124
Total Workload / 25 (Hours) 4.96
dersAKTSKredisi 5