Course Name Code Semester T+U Hours Credit ECTS
Statistics TEF 232 4 2 + 0 2 2
 Precondition Courses Recommended Optional Courses Course Language Turkish Course Level Bachelor's Degree Course Type Optional Course Coordinator Course Lecturers Course Assistants Course Category Course Objective It is aimed to educate students for choosing the right statistical methods in researches and implementing the results correctly and have skills for these directions. Course Content In this lesson, basic concepts of statistics, exploratory measures for data, summarizing data with tables and figures, probability and distribution of probability, sampling, statistical estimate and hypothesis tests, non-parametric tests, regression and correlation, time series analyses is included.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understanding the importance and aim of statistics,The skill of identifying, summarizing, and visually explaining data from different subjects,Skill of analyzing data with suitable methods,Skill of interpretation of actual situation with analyzing data Lecture, Problem Solving, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Statistics and Basic Concepts
2 Data, Variable and Levels of Measure
3 Making Table and Graphic Methods
4 Means
5 Variability and and Division Type
6 Theory of Probability
7 Discontinuous Probability Distribution
8 Continuous Probability Distribution
9 Midterm Exam
10 Sampling Methods
11 Statistical Estimate and Hypothesis tests
12 Non-parametric tests
13 Regression and Correlation
14 Time series analyses
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Having necessary knowledge and skills for performing his/her proficiency in the subject of motor Technologies and basic manufacturing processes X
2 Having the latest knowledge and skills for theoretical and practical applications of motor systems and principals
3 Having the latest knowledge and skills for theoretical and practical applications of vehicle systems
4 Having the latest knowledge and skills for performing tests, control and maintenance of motor/vehicle systems and hardware
5 Having the latest knowledge and skills for diagnostics and renovation processes of vehicle/motor systems
6 Having the latest knowledge in Science and Engineering X
7 Having the latest knowledge and skills in the area of electric-electronic-computer for performing tasks related to his/her proficiency
8 Having foreign language skills and knowledge for making tasks related to his/her proficiency
9 Having the latest knowledge and skills for making design and research projects in his/her area X
10 Having the latest knowledge and skills in the area of servicing/management/job security related to his/her proficiency X
11 Having the latest knowledge and skills for performing tasks in teaching and education in his/her area
12 Having necessary knowledge for performing tasks in the automobile industry X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 70
1. Kısa Sınav 10
1. Ödev 10
2. Kısa Sınav 10
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 1 16
Hours for off-the-classroom study (Pre-study, practice) 16 1 16
Mid-terms 1 4 4
Assignment 1 3 3
Performance Task (Laboratory) 1 5 5
Total Workload 44
Total Workload / 25 (Hours) 1.76
dersAKTSKredisi 2