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STATISTICS II PROGRAMME COURSE DESCRIPTION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
EKF222 STATISTICS II 4 3 3 6

GENERAL INFORMATION

Language of Instruction : Turkish
Level of the Course Unit : , TYY: + , EQF-LLL: , QF-EHEA:
Type of the Course : Compulsory
Mode of Delivery of the Course Unit -
Coordinator of the Course Unit
Instructor(s) of the Course Unit
Course Prerequisite No

OBJECTIVES AND CONTENTS

Objectives of the Course Unit: This course aims to provide students with the ability to make scientific decision making according to statistical analysis techniques and analysis results.
Contents of the Course Unit: Contents of the course include the subjects such as confidence interval estimates for single and two universe, Hypothesis testing for single and two universe, Simple and multiple regression analysis, Nonparametric statistics, Chi-square distribution.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)

Interpret on parameter by using the statistics. (4)
Compare the relationship between two variables. (4)
Interpret the index types and calculations. (4)
Classify cross tables. (4)
Interpret the distributions statistically. (4)
Solve the problems related to Hypothesis testing and chi-square distributions. (3)
Analyze distributions. (4)
Analyze hypotheses using statistical methods. (4)

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Reading Concept and Types Lecture & Question Answer & Problem-Solving Method
2 Reading Hypothesis Testing Concept Lecture & Question Answer & Problem-Solving Method
3 Reading Central Limit Theorem Lecture & Question Answer & Problem-Solving Method
4 Reading Hypothesis Testing of Single Value and Mean Lecture & Question Answer & Problem-Solving Method
5 Reading Hypothesis Testing of Single Value and Mean Lecture & Question Answer & Problem-Solving Method
6 Reading Hypothesis Testing of Single Value and Mean Lecture & Question Answer & Problem-Solving Method
7 Reading Linear Trend Lecture & Question Answer & Problem-Solving Method
8 - MID-TERM EXAM -
9 Reading Regression Analysis Lecture & Question Answer & Problem-Solving Method
10 Reading Curvilinear Trend Lecture & Question Answer & Analysis
11 Reading Indexes and Time Zaman Indexes Lecture & Question Answer & Analysis
12 Reading Simple and Compound Indexes Lecture & Question Answer & Analysis
13 Reading Chi Squared Distribution Lecture & Question Answer & Problem-Solving Method
14 Reading Chi Square Test Lecture & Question Answer & Problem-Solving Method
15 Reading General Revision and Evaluation Lecture & Question Answer & Problem-Solving Method
16 - FINAL EXAM -
17 - FINAL EXAM -

SOURCE MATERIALS & RECOMMENDED READING

Murray R. Spiegel, Larry J. Stephens (2013). Statistic. Nobel Academic Publications
Cil, B.(2008).Istatistik.8th Edition. Detay Publications

ASSESSMENT

Assessment & Grading of In-Term Activities Number of Activities Degree of Contribution (%) Description
Level of Contribution
0 1 2 3 4 5

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES

KNOWLEDGE

Theoretical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
List the history of communication, mass media, communication theories and leading theorists.
2
List the historical, social and cultural types of communication and explain the related concepts.
3
Define the important points of the history and theories of communication through daily life practices and social life.

KNOWLEDGE

Factual

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Compare the traditional media and new media economic policies.
2
Interpret digital culture with constantly updated and self-renewing topics.
3
Interpret the technical, socio-political and legal aspects of cyber security issues in the field of new media.

SKILLS

Cognitive

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Define the basic concepts of communication history, communication theories, traditional and new media channels.

SKILLS

Practical

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Prepare web pages with CSS codes.
2
Produce creative content in new media environments, create an image and sound and practical studies about programming.
3
Analyze the sub-texts and their semantics of the studies presented to the society by mass media.
4
Use qualitative and quantitative elements to construct arguments on studies in the field of communication.

OCCUPATIONAL

Autonomy & Responsibility

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Manage social media accounts of brands, corporate firms and public institutions thanks to its advanced knowledge in content production and user experience.

OCCUPATIONAL

Learning to Learn

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Review local and foreign studies in the field of New Media. Creates innovative works in his/her field.
2
Criticize the effects of social media activities on socio-political field.

OCCUPATIONAL

Communication & Social

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Plan scientific studies in any area that can be encountered in different disciplines and transfer them to people from different disciplines.
2
Determine how much of the content produced by the media is right and wrong.

OCCUPATIONAL

Occupational and/or Vocational

Programme Learning Outcomes Level of Contribution
0 1 2 3 4 5
1
Follows the developments that have begun to guide the present and the future such as "Software". Produce various software products for different sectors.
2
Design using new architectures of big data processing systems.
3
Determine the logic of operation of artificial intelligence algorithms and determines the possible effects on media and indirectly society.

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT

Workload for Learning & Teaching Activities

Type of the Learning Activites Learning Activities (# of week) Duration (hours, h) Workload (h)
Lecture & In-Class Activities 14 3 42
Preliminary & Further Study 13 2 26
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 10 2 20
Assignment (Homework) 7 2 14
Project Work 0 0 0
Seminar 0 0 0
Internship 0 0 0
Technical Visit 0 0 0
Web Based Learning 0 0 0
Implementation/Application/Practice 0 0 0
Practice at a workplace 0 0 0
Occupational Activity 0 0 0
Social Activity 0 0 0
Thesis Work 0 0 0
Field Study 0 0 0
Report Writing 0 0 0
Final Exam 1 1 1
Preparation for the Final Exam 4 8 32
Mid-Term Exam 1 1 1
Preparation for the Mid-Term Exam 2 8 16
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
TOTAL 52 0 152
Total Workload of the Course Unit 152
Workload (h) / 25.5 6
ECTS Credits allocated for the Course Unit 6,0