COURSE UNIT TITLE

: PROBLEM BASED LEARNING II

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 1002 PROBLEM BASED LEARNING II COMPULSORY 2 0 0 3

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SELMA GÜRLER

Offered to

Statistics(Evening)
Statistics

Course Objective

This course will be based on case studies providing applications to theoretical and conceptual aspects of Probability and Statistics II. Students will discuss on practical implications of statistical concepts in the literature. The aim of this course is to make students to calculate probability, expected value and variance for both discrete and continuous distributions, to learn sampling distributions and central limit theorem, to form confidence intervals and test of hypothesis for parameters, to calculate covariance and correlation.

Learning Outcomes of the Course Unit

1   Calculating probabilities, expected value and variance with some special discrete distributions
2   Calculating probabilities, expected value and variance with some special continuous distributions
3   Using sampling distributions
4   Applying central limit theorem
5   Constructing confidence interval for various parameters
6   Testing statistical hypothesis for various parameters
7   Calculating covariance and correlation coefficient

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Case study 1: Probability mass and distribution function for discrete random variables and an application for some special discrete distribution
2 Case study 1: Probability mass and distribution function for discrete random variables and an application for some special discrete distribution
3 Case study 2: Probability density and distribution function for continuous random variables and an application for some special continuous distribution
4 Case study 2: Probability density and distribution function for continuous random variables and an application for some special continuous distribution
5 Case study 3: Application for sampling distribution and Central Limit Theorem
6 Case study 4: Application for estimation of confidence interval for a population parameter
7 Case study 4: Application for estimation of confidence interval for a population parameter
8 Midterm exam
9 Case study 4: Application for test of Hypothesis about a population parameter
10 Case study 5: Application for test of Hypothesis about a population parameter
11 Case study 5: Application for test of Hypothesis about a population parameter
12 Case study 5: Application for test of Hypothesis about a population parameter
13 Case study 6: Application for test of Hypothesis about a population parameter
14 Case study 7: Application for Covariance and Correlation

Recomended or Required Reading

Textbook(s):
J.T. McClave and T. Sincich, Statistics, 12th Edition, Prentice-Hall.
Supplementary Book(s):
1. P. Newbold, W. L. Carlson, B. Thorne, Statistics for Business and Economics, Seventh Edition, Pearson Education , 2010

Planned Learning Activities and Teaching Methods

Problem based learning and class discussion

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 FIN FINAL EXAM
2 FCG FINAL COURSE GRADE FCG * 1
3 RST RESIT
4 FCGR FINAL COURSE GRADE (RESIT) FCGR * 1

Further Notes About Assessment Methods

None

Assessment Criteria

Since this is an active learning system based lecture, the grades will be evaluated with 40% of the midterm exam and 60% of the final exam , but these grades will be shown as 100% final note on the system.

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: selma.erdogan@deu.edu.tr
Tel: 0232 301 85 71
e-posta: firat.ozdemir@deu.edu.tr
Tel: 0232 301 86 00

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 2 26
Preparation for midterm exam 1 14 14
Preparation for final exam 1 20 20
Preparation for quiz etc. 1 6 6
Midterm 1 2 2
Final 1 2 2
Quiz etc. 1 1 1
TOTAL WORKLOAD (hours) 71

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.155543
LO.255543
LO.355543
LO.455543
LO.555543
LO.655543
LO.755543

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

Copyright 2012 DEÜ. BİD

HOME / INFORMATION ON THE INSTITUTION / DEGREE PROGRAMMES / INFORMATION FOR STUDENTS / LLP/ERASMUS