Code | Name of the Course Unit | Semester | In-Class Hours (T+P) | Credit | ECTS Credit |
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EKF222 | STATISTICS II | 4 | 3 | 3 | 6 |
GENERAL INFORMATION |
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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 |
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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) |
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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 |
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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 |
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Murray R. Spiegel, Larry J. Stephens (2013). Statistic. Nobel Academic Publications |
Cil, B.(2008).Istatistik.8th Edition. Detay Publications |
ASSESSMENT |
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Assessment & Grading of In-Term Activities | Number of Activities | Degree of Contribution (%) | Description |
Level of Contribution | |||||
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0 | 1 | 2 | 3 | 4 | 5 |
KNOWLEDGE |
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Theoretical |
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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.
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2 |
List the historical, social and cultural types of communication and explain the related concepts.
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3 |
Define the important points of the history and theories of communication through daily life practices and social life.
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KNOWLEDGE |
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Factual |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Compare the traditional media and new media economic policies.
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2 |
Interpret digital culture with constantly updated and self-renewing topics.
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3 |
Interpret the technical, socio-political and legal aspects of cyber security issues in the field of new media.
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SKILLS |
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Cognitive |
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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.
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SKILLS |
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Practical |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Prepare web pages with CSS codes.
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2 |
Produce creative content in new media environments, create an image and sound and practical studies about programming.
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3 |
Analyze the sub-texts and their semantics of the studies presented to the society by mass media.
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4 |
Use qualitative and quantitative elements to construct arguments on studies in the field of communication.
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OCCUPATIONAL |
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Autonomy & Responsibility |
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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.
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OCCUPATIONAL |
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Learning to Learn |
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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.
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2 |
Criticize the effects of social media activities on socio-political field.
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OCCUPATIONAL |
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Communication & Social |
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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.
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2 |
Determine how much of the content produced by the media is right and wrong.
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OCCUPATIONAL |
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Occupational and/or Vocational |
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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.
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2 |
Design using new architectures of big data processing systems.
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3 |
Determine the logic of operation of artificial intelligence algorithms and determines the possible effects on media and indirectly society.
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WORKLOAD & ECTS CREDITS OF THE COURSE UNIT |
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Workload for Learning & Teaching Activities |
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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 |