Başkent Üniversitesi | Bilgi Paketi

COURSE UNIT TITLE	COURSE UNIT CODE	SEMESTER	THEORY + PRACTICE (Hour)	ECTS
PROBABILITY AND STATISTICS	MAT250	Fourth Term (Spring)	3 + 1	5

TYPE OF COURSE UNIT

Compulsory Course

LEVEL OF COURSE UNIT

Bachelor's Degree

YEAR OF STUDY

SEMESTER

Fourth Term (Spring)

NUMBER OF ECTS CREDITS ALLOCATED

NAME OF LECTURER(S)

Assistant Professor Pelin Toktaş
Assistant Professor Elmas Burcu Mamak Ekinci

LEARNING OUTCOMES OF THE COURSE UNIT

At the end of this course, the students;
1) Interpreting statistical data sets by using numerical and graphical techniques.
2) Learning the probability definition and its rules to be able to solve problems.
3) Learning the concept of random variables and their probability and distribution functions.
4) Choosing suitable probability distributions to apply and interrelate with the real life problems.
5) An ability to describe the basic concepts of statistics (population, sample, random sample, sampling distribution etc.)
6) Using sampling distributions in confidence intervals and sampling distributions, gaining ability of statistical inference.

MODE OF DELIVERY

Face to face

PRE-REQUISITES OF THE COURSE

RECOMMENDED OPTIONAL PROGRAMME COMPONENT

None

COURSE DEFINITION

Basic principles of probability. Definition and basic theorems of probability. Concept of a random variable. Probability distributions. Mathematical expectation. Some discrete and continuous distributions. Joint probability distributions. Random sampling. Some important statistics. Sampling distribution. Sampling distributions of sample means and sample variances. One- and two-sample estimation problems. One-and two-sample tests of hypotheses.

COURSE CONTENTS

WEEK	TOPICS
1^st Week	Basic principles of probability.
2^nd Week	Definition and basic theorems of probability.
3^rd Week	Concept of a random variable.
4^th Week	Probability distributions.
5^th Week	Mathematical expectation.
6^th Week	Some discrete and continuous distributions.
7^th Week	Joint probability distributions.
8^th Week	Midterm Exam
9^th Week	Random sampling.
10^th Week	Some important statistics.
11^th Week	Sampling distribution.
12^th Week	Sampling distributions of sample means and sample variances.
13^th Week	One- and two-sample estimation problems.
14^th Week	One-and two-sample tests of hypotheses.

RECOMENDED OR REQUIRED READING

1. Walpole R.E., Myers R.H., Myers Sh. L., Ye K. Probability and Statistics or Engineers and Scientists Prentice Hall, 7/E, 2002.
2. Akdeniz F., Olasılık ve İstatistik, Nobel Kitabevi, 13. Baskı, 2007.
3. Erbaş S. O., Olasılık ve İstatistik, Gazi Kitabevi, 2007.

PLANNED LEARNING ACTIVITIES AND TEACHING METHODS

Lecture,Questions/Answers,Experiment,Problem Solving,Other

ASSESSMENT METHODS AND CRITERIA

	Quantity	Percentage(%)
Mid-term	1	30
Quiz	5	30
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS WORKLOAD

Activities	Number	Hours	Workload
Midterm exam	1	1,3	1,3
Preparation for Quiz
Individual or group work
Preparation for Final exam	1	35	35
Course hours	14	4	56
Preparation for Midterm exam	1	30	30
Laboratory (including preparation)
Final exam	1	1,3	1,3
Homework	2	10	20
Quiz	3	,8	2,4
Total Workload			146
Total Workload / 30			4,86
ECTS Credits of the Course			5

LANGUAGE OF INSTRUCTION

Turkish

WORK PLACEMENT(S)

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
	LO1	LO2	LO3	LO4	LO5	LO6
K1	X		X	X	X	X
K2		X	X	X		X
K3
K4	X			X		X
K5	X			X	X	X
K6
K7
K8
K9
K10
K11						X
K12