ECTS - Probability and Statistics I

Probability and Statistics I (MATH291) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Probability and Statistics I MATH291 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives In addition to some tools for classification, summarization and making sense of data, to provide students with basic probability knowledge and certain probability distributions
Course Learning Outcomes The students who succeeded in this course;
  • Upon completing of the course, students are expected to: 1- learn how to organize a set of data 2- be able to summarize the data by using the measures of central tendency and dispersion 3- calculate the probability with the assistance of basic concept of probability including some counting techniques, permutations and combinations 4- have the ability to use conditional probability, Bayesian approach and statistically independency within probability problems 5- be able to calculate the mean and standard deviation with expected value concept by understanding the difference between discrete and continuous random variables, 6- have the ability to use some probability distributions such as binomial and normal probability functions.
Course Content Basic definitions, tables and graphs, central tendency measures, central dispersion measures, probability concept, conditional probability, Bayesian approach, random variables, expected value, binomial and normal distributions.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Basic Definitions, Frequency Distributions pp. 3-5
2 Relative, Cumulative, Cumulative Relative Frequency Distributions, Graphs, Stem and Leaf Display pp. 24-28
3 Central Tendency Measures; Mean, Median and Mode for Unclassified and Classified Data pp. 73-76
4 Central Dispersion Measures; Variance, Standard Deviation, Coefficient of Variation, Chebyshev Theorem pp. 93-100
5 Probability Concept, Random Event-Experiment, Sample Space, pp. 127-130
6 Classical / Postrerior Probability Definitions , Rule of Counting; Permutation and Combination, Multiplication Rule pp. 135-137
7 Midterm Exam
8 Venn Diagrams, Contingency Table, Conditional Probability pp. 138-140
9 Bayesian Approach, Statistical Indpendency pp. 142-145
10 Random Variables, Probability Function pp. 147-150
11 Expected Value and Its Properties, Mean and Standard Deviation pp. 155-157
12 Binomial Distribution pp. 167-168
13 Normal Distribution, Standard Normal Variable, Z table pp. 182-185
14 Problems on Normal Distribution and Vice-Verse Usage of Z table (Cut-off value ) pp. 199-205
15 Review
16 Final Exam


Course Book 1. D.H. Sanders, R. K. Simidt, Statistics, A First Course, 1990
Other Sources 2. D.H. Sanders, R. K. Simidt, Statistics, A First Course, 1990

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 10
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 50
Final Exam/Final Jury 1 40
Toplam 5 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Acquiring the skills of understanding, explaining, and using the fundamental concepts and methods of economics
2 Acquiring the skills of macro level economic analysis
3 Acquiring the skills of micro level economic analysis
4 Understanding the formulation and implementation of economic policies at the local, national, regional, and/or global level
5 Learning different approaches on economic and related issues
6 Acquiring the quantitative and/or qualitative techniques in economic analysis
7 Improving the ability to use the modern software, hardware and/or technological devices
8 Developing intra-disciplinary and inter-disciplinary team work skills
9 Acquiring an open-minded behavior through encouraging critical analysis, discussions, and/or life-long learning
10 Adopting work ethic and social responsibility
11 Developing the skills of communication.
12 Improving the ability to effectively implement the knowledge and skills in at least one of the following areas: economic policy, public policy, international economic relations, industrial relations, monetary and financial affairs.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 10 20
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 77