Course Name Code Semester T+U Hours Credit ECTS
Probability and Statistics SWE 102 2 3 + 0 3 4
Precondition Courses
Recommended Optional Courses
Course Language English
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi MUSTAFA AKPINAR
Course Lecturers Dr.Öğr.Üyesi MUSTAFA AKPINAR,
Course Assistants
Course Category Available Basic Education in the Field
Course Objective

This course aims to provide an understanding of the basic ideas in probability and statistics. Students will learn data collection, arrange and evaluation. They will learn also the fundamental theory of distribution of random variables, the basic theory and techniques of parameter estimation and tests of hypotheses. It is possible for students to prepare a regression model. 

Course Content

Definition of statistic, kind of statistic and application areas. Variables,graps and frecuency Dispertion. Data collection and evaluation. Averages. Variability measures. Probability, conditional probability. Multiplication rule. Dependent and independent events. Bayes rule. Random variables. Probability function. Dispertion function. Expected value. Variance and standart deviation. Continual random variables. Interrupted Dispertion. Continual distribution. Hypothesis tests.

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Student defines concepts related to probability and statistics Lecture, Question-Answer, Discussion, Testing, Homework,
2 Mathematically models complex probability problems expressed verbally Lecture, Question-Answer, Discussion, Testing, Homework,
3 Calculates expectations and variances of the results of repeated problems Lecture, Question-Answer, Testing,
4 Provides solutions to daily and Computer Engineering problems with proper probability distributions Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
5 Solves probability problems with computer aid Lecture, Question-Answer, Drilland Practice, Lab / Workshop, Homework,
6 Gains ability to solve a problem with theoretical and statistical techniques Lecture, Question-Answer, Discussion, Drilland Practice, Testing,
7 Statistically analyzes collected data Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Homework,
8 Forms and solves hypothesis tests Lecture, Question-Answer, Discussion, Drilland Practice, Testing,
9 Sorting the frequency distribution can prepare raw data and measures of central tendency of a series (mean, median, mode) and variability can be calculated. Lab / Workshop, Problem Solving, Testing,
Week Course Topics Preliminary Preparation
1 Introduction of course
2 Introduction, Statistics, Definations and Concepts
3 Descriptive Statistics
4 Descriptive Statistics
5 Probability, Definitions, Properties, Importance in Statistics
6 Probability, Definitions, Properties, Importance in Statistics
7 Probability Distributions
8 Probability Distributions
9 Examples
10 Hypothesis Tests
11 Hypothesis Tests
12 Multiple Linear Regression
14 Variance Analysis
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions. X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations. X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently. X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods. X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research. X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies. X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility. X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language. X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology. X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society. X
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications. X
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Kısa Sınav 10
2. Kısa Sınav 10
1. Ödev 40
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 14 3 42
Hours for off-the-classroom study (Pre-study, practice) 14 2 28
Mid-terms 1 12 12
Quiz 2 4 8
Assignment 1 12 12
Final examination 1 10 10
Total Workload 112
Total Workload / 25 (Hours) 4.48
dersAKTSKredisi 4