COURSE UNIT TITLE

: STATISTICS AND PROBABILITY

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 1202 STATISTICS AND PROBABILITY COMPULSORY 2 2 0 4

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR AYLIN ALIN

Offered to

Computer Science

Course Objective

The purpose of this course is to introduce the students with the statistics and probability. This course emphasizes on describing the statistics, classifying data, calculating central tendency and variation measures, using tables and graphics, evaluating permutation, combination and probability, obtaining probability distributions for both discrete and continuous random variables and using some special probability distributions.

Learning Outcomes of the Course Unit

1   Describing fundamental elements of Statistics.
2   Distinguishing types of data.
3   Calculating the measures which are used for describing data.
4   Describing the fundamental elements of Probability.
5   Calculating probabilities.
6   Calculating probabilities by probability functions of discrete and continuous random variables.
7   Describing some special probability distributions for discrete and continuous random variables.
8   Calculating expected value.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The Science of Statistics Types of Statistical Applications Fundemantal Elements of Statistics
2 Types of Data Collecting Data Describing Qualitative Data
3 Graphical Methods for Describing Quantitative Data Numerical Measures for Central Tendency
4 Numerical Measures for Variability Numerical measures for Relative Standing
5 Combinatorial Methods
6 Sample Spaces and Events Unions and Intersections Complementary Events Additive Rule and Mutually Exclusive Events
7 Mid-term exam
8 The Probability of an Event Some Rules of Probability Conditional Probability
9 Independent Events and The Multiplicative Rule Bayes Theorem
10 Discrete Random Variables Probability Distributions
11 Continuous Random Variables Probability Density Functions
12 Some special discrete distributions (Binomial, Negative Binom, Geometrik, Hypergeometric, Poisson)
13 Some special continuous distributions (Uniform, Normal, Exponential)
14 The Expected Value of Random Variable

Recomended or Required Reading

Textbook(s): Freund, J.E., Mathematical Statistics, 5th. Ed.Prentice Hall, 1992.
McClave, J.T. and Sincich, T., Statistics, 8th. Ed., Prentice Hall, 2000
Supplementary Book(s): Bain, L.J. and Engelhardt, M., Introduction to Probability and Mathematical Statistics, 2nd Ed.,Duxbury Classic Series,1992.

Planned Learning Activities and Teaching Methods

Lecture and problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.40 + FIN * 0.60
4 RST RESIT
5 FCG FINAL COURSE GRADE MTE * 0.40 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-posta: aylin.alin@deu.edu.tr
Tel: 0232 301 85 72

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Tutorials 14 2 28
Preparations before/after weekly lectures 12 1 12
Preparation for midterm exam 1 15 15
Preparation for final exam 1 25 25
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 110

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.1333
LO.2434
LO.3344
LO.4343
LO.54333
LO.6343
LO.7333
LO.84343

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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