Undergraduate
Faculty of Science and Letters
Mathematics And Computer Science
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Probability and Statistics

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
MB0017 4 Probability and Statistics 2/2/0 CC Turkish 6
Course Goals
To apply statistical tests and methods to given datas with the knowledge of probability notion.
Prerequisite(s) No
Corequisite(s) No
Special Requisite(s) Linear algebra, mathematics
Instructor(s) Assist. Prof. Dr. Fatih Uçar
Course Assistant(s) Araş.gör.Dr.Fatih Uçar
Schedule Monday 9:11,Tuesdey 9:11
Office Hour(s) Monday 15:17,Friday 9:11
Teaching Methods and Techniques  Lectures, application exercises by topic in classroom and tutorials, applications using MATLAB
in tutorials in the lab where applicable, assignments.
Principle Sources Statistics Murray R.Spiegel


Probability and statistical inference Rober V.Hogg , Elliot A.Tanis
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Introduction to Probability Oral, written presentation and application
2. Week Probability theory Oral, written presentation and application
3. Week Descriptive Statistics and Basic Concepts Oral, written presentation and application
4. Week Histograms,Frequency, Oral, written presentation and application
5. Week Measures of central tendency,Mean, Median, Mode,Measures of variation: Std. Deviation Oral, written presentation and application
6. Week Distributional models and probability Oral, written presentation and application
7. Week Binom Distributions, Poisson Distributions ,exponantiel Distributions, Normal Distributions Oral, written presentation and application
8. Week Mid-Term Exam.
9. Week Sampling Methods and the Central Limit Theorem Oral, written presentation and application
10. Week Sampling Distributions Oral, written presentation and application
11. Week Estimation and Confidence Intervals Oral, written presentation and application
12. Week Statistics Hypotheses Oral, written presentation and application
13. Week t-test, F-test Oral, written presentation and application
14. Week Chi-square, Tests for independence Oral, written presentation and application
15. Week Final Exam.
16. Week Final Exam.
17. Week Final Exam.
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 50
Final Exam 1 50


Program Outcomes
PO-1Interpreting advanced theoretical and applied knowledge in Mathematics and Computer Science.
PO-2Critiquing and evaluating data by implementing the acquired knowledge and skills in Mathematics and Computer Science.
PO-3Recognizing, describing, and analyzing problems in Mathematics and Computer Science; producing solution proposals based on research and evidence.
PO-4Understanding the operating logic of computer and recognizing computational-based thinking using mathematics as a discipline.
PO-5Collaborating as a team-member, as well as individually, to produce solutions to problems in Mathematics and Computer Science.
PO-6Communicating in a foreign language, and interpreting oral and written communicational abilities in Turkish.
PO-7Using time effectively in inventing solutions by implementing analytical thinking.
PO-8Understanding professional ethics and responsibilities.
PO-9Having the ability to behave independently, to take initiative, and to be creative.
PO-10Understanding the importance of lifelong learning and developing professional skills continuously.
PO-11Using professional knowledge for the benefit of the society.
Learning Outcomes
LO-1Make informed decisions based on data.
LO-2Apply a variety of statistical procedures and tests.
LO-3Know the uses, capabilities and limitations of various statistical procedures.
LO-4Set up probability models for a range of random phenomena, both discrete and continuous.
LO-5Apply the notions of conditional probability.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4
LO 5