Code | Name of the Course Unit | Semester | In-Class Hours (T+P) | Credit | ECTS Credit |
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ISL213 | STATISTICS | 3 | 3 | 3 | 6 |
GENERAL INFORMATION |
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Language of Instruction : | Turkish |
Level of the Course Unit : | BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle |
Type of the Course : | Compulsory |
Mode of Delivery of the Course Unit | - |
Coordinator of the Course Unit | Assoc.Prof. ÇAĞLA TUĞBERK ARIKER |
Instructor(s) of the Course Unit | |
Course Prerequisite | No |
OBJECTIVES AND CONTENTS |
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Objectives of the Course Unit: | The aim of the course; compiling the statistical data, using this data, problem solving and the accumulation of knowledge to provide students with the assessment. |
Contents of the Course Unit: | Course content, introduction of basic statistical concepts, Central tendency measurements, variability measurements, probability and probability calculation, discrete and continuous distributions, binomial and poisson distributions include normal distribution and continuous normal distribution methods and applications. |
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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Defines the basic concepts of statistics. (Define) (Bloom's 1) |
Defines the dependent and independent variable in regression analysis (Define) (Bloom's 1) |
Creates the Frequency Distribution Table for a given series. (Create) ( Bloom's 6) |
Calculates the central tendency measures for a given series. (Calculate) (Bloom's 2) |
Interprets and calculates the central distribution measures for a given series. (Calculate) (Bloom's 2) & (Interpret) (Bloom's 5) |
Calculates the probability values by using z-table (Calculate) (Bloom's 2) |
WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY |
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Week | Preparatory | Topics(Subjects) | Method |
1 | Literature reading, homework | Principles of Counting, Factorial, Permutation | Lecture, Q&A |
2 | Literature reading, homework | Combination, Probability | Lecture, Q&A |
3 | Literature reading, homework | Conditional Probability, Bayes Theorem | Lecture, Q&A |
4 | Literature reading, homework | Fundamental Definitions of Statistics, Large Number Law | Lecture, Q&A |
5 | Literature reading, homework | Tables, Frequency Distribution Tables of a given series, Cumulative, Contingency Tables | Lecture, Q&A |
6 | Literature reading, homework | Central Tendency Measures , Arithmetic Mean | Lecture, Q&A |
7 | Literature reading, homework | Central Tendency Measures , Mode, Median and Central Tendency Measures comparison | Lecture, Q&A |
8 | - | MID-TERM EXAM | - |
9 | Literature reading, homework | Central Distribution Measures | Lecture, Q&A |
10 | Literature reading, homework | Random Variables (Discrete, Continuous), Expected Value, Variance | Lecture, Q&A |
11 | Literature reading, homework | Some Discrete Probability Distribution-1 (Bernoulli, Binom, Poisson, Pascal, Uniform Distribution) | Lecture, Q&A |
12 | Literature reading, homework | Some Discrete Probability Distribution-2 (Bernoulli, Binom, Poisson, Pascal, Uniform Distribution) | Lecture, Q&A |
13 | Literature reading, homework | Normal Distribution | Lecture, Q&A |
14 | Literature reading, homework | Z-Distribution | Lecture, Q&A |
15 | Literature reading, homework | Comparison of Normal Distribution and Standard Normal Distribution | Lecture, Q&A |
16 | - | FINAL EXAM | - |
17 | - | FINAL EXAM | - |
SOURCE MATERIALS & RECOMMENDED READING |
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Spiegel, M. R., & Stephens, L. J. (2013). İstatistik. Çev: ÇELEBİOĞLU, S.), Nobel Akademik Yayıncılık, Ankara. |
Newbold, P. (2013). Statistics for Business and Economics, Pearson, London |
http://jtsa.ieu.edu.tr/ |
Fikri Akdeniz, Olasılık ve İstatistik |
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 |
Define the theories, concepts and principles of the basic and sub-fields of business.
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2 | |||||
2 |
Explain business functions and processes based on current scientific sources.
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1 |
KNOWLEDGE |
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Factual |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Relate internationally valid business cases with the theories and concepts of other social sciences.
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3 |
SKILLS |
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Cognitive |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Explain the current events and facts in his / her field analytically and systematically based on advanced knowledge and skills he / she has.
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4 |
SKILLS |
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Practical |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Use the theoretical and factual knowledge in business for occupational practices.
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4 | |||||
2 |
Solve individual and organizational problems in business life.
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5 | |||||
3 |
Use computer programs (SPSS, R, Excel, Stata) efficiently against the complex business problems.
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4 |
OCCUPATIONAL |
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Autonomy & Responsibility |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Plan research and work using knowledge and skills gained in the field of business.
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4 | |||||
2 |
Organize the activities for organizational goals and purposes independently.
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1 |
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 |
Criticize advanced knowledge and skills in the field with a critical approach.
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0 | |||||
2 |
Develop the existing knowledge and skills with a critical point of view under the impact of scientific, technological and current developments.
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1 |
OCCUPATIONAL |
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Communication & Social |
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Programme Learning Outcomes | Level of Contribution | ||||||
0 | 1 | 2 | 3 | 4 | 5 | ||
1 |
Express his/her knowledge, thoughts and solutions on business to related stakeholders in written and verbal ways.
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1 | |||||
2 |
Use the information and communication technology software and equipment required for business.
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4 |
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 |
Apply the social, scientific, cultural and ethical values at the stages of the collection of data, their implementation, interpretation and announcement of results in the field of business.
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5 | |||||
2 |
Relate the concepts of social rights, occupational safety, employee health, quality management and sustainability with the cases in business life.
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0 |
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 | 14 | 8 | 112 |
Land Surveying | 0 | 0 | 0 |
Group Work | 0 | 0 | 0 |
Laboratory | 0 | 0 | 0 |
Reading | 0 | 0 | 0 |
Assignment (Homework) | 0 | 0 | 0 |
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 | 0 | 0 | 0 |
Mid-Term Exam | 1 | 1 | 1 |
Preparation for the Mid-Term Exam | 0 | 0 | 0 |
Short Exam | 0 | 0 | 0 |
Preparation for the Short Exam | 0 | 0 | 0 |
TOTAL | 30 | 0 | 156 |
Total Workload of the Course Unit | 156 | ||
Workload (h) / 25.5 | 6,1 | ||
ECTS Credits allocated for the Course Unit | 6,0 |