English


BUSINESS ADMINISTRATION (ENGLISH) PROGRAMME
COURSE DESCRIPTION
Name of the Course Unit Code Year Semester In-Class Hours (T+P) Credit ECTS Credit
STATISTICS I STT201 2 3 3+0 3.0 6.0


General Information
Language of Instruction English
Level of the Course Unit Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of the Course Compulsory
Mode of Delivery of the Course Unit Face-to-face
Work Placement(s) Requirement for the Course Unit No
Coordinator of the Course Unit
Instructor(s) of the Course Unit Assoc. Prof. (Ph.D.) HATİCE İMAMOĞLU
Assistant(s) of the Course Unit

Prerequisites and/or co-requisities of the course unit
CATEGORY OF THE COURSE UNIT
Category of the Course Unit Degree of Contribution (%)
Fundamental Course in the field % 20
Course providing specialised skills to the main field % 20
Course providing supportive skills to the main field % 20
Course providing humanistic, communication and management skills % 20
Course providing transferable skills % 20

Objectives and Contents
Objectives of the Course Unit The goals of this course are to introduce students to the basic concepts and methods in probability theory and statistics, and to equip them with the technical capabilities required for research.
Contents of the Course Unit Research data in sciences and business; presentation and interpretation of data; basic probability concepts and theory; probability distributions.
Contribution of the Course Intending to Provide the Professional Education This course will support and contribute to many quantitative courses by giving accounting essentials. It will do same effect to the department student courses.

No
Key Learning Outcomes of the Course Unit
On successful completion of this course unit, students/learners will or will be able to:
1 Will comprehend basic statistical concepts.
2 Will express and explain the types of data and data collection methods used in (social) sciences.
3 Will understand descriptive data analysis and its measures.
4 Will interpret variety measures like mean, variance and standard deviation.
5 Will distinguish discrete and continous variables and their probability functions.
6 Will summarize,interpret and present research data.

Learning Activities & Teaching Methods of the Course Unit
Learning Activities & Teaching Methods of the Course Unit

Weekly Course Contents and Study Materials for Preliminary & Further Study
Week Topics (Subjects) Preparatory & Further Activities
1 Why Use Stats & Math review No file found
2 Descriptive statistics No file found
3 Fundamental concepts of probability No file found
4 Random variables and Probability distributions No file found
5 Discrete Random Variables No file found
6 Discrete and Continuous Random Variables No file found
7 Discrete and Continuous Probability distributions; Expected Value and Variance No file found
8 Problem Solutions (Review from Week
3 to Week 7))
No file found
9 Mid-term Exam No file found
10 Discrete and Continuous Random Variables and Probability Distributions No file found
11 Bivariate Random Variables: Covariance and Correlation Analysis No file found
12 Moment Generating Function No file found
13 Moment Generating Function No file found
14 Review Questions and Problem Solutions No file found

SOURCE MATERIALS & RECOMMENDED READING
1- Rossman, Allan J. and Chance, Beth L., Workshop Statistics, Second Edition,2007.
2- Ross Sheldon, Introduction to Probability and Statistics for Engineers and Scientists, Academic Press, Fourth Edition,2009.
3- Theory and Problems of Probability, Random Variables, and Random Processes, Hwei P. Hsu, Schaum's Series, McGraw-Hill
4- Applied Statistics and Probability for Engineers, Douglas C. Montgomery and George C. Runger, John Wiley & Sons, Inc., Third Edition

MATERIAL SHARING
Course Notes No file found
Presentations No file found
Homework No file found
Exam Questions & Solutions No file found
Useful Links No file found
Video and Visual Materials No file found
Other No file found
Announcements No file found

CONTRIBUTION OF THE COURSE UNIT TO THE PROGRAMME LEARNING OUTCOMES
KNOWLEDGE
Theoretical
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Comprehend the fundamental concepts and theories of business administration science. X
2 Analyze the relationships between fundamental concepts and theories of business administration science. X
3 Illustrate the theoretical frame drawn from business operations. X
4 Comprehend the context of the underlying cases of national and international business administration. X
SKILLS
Cognitive
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Comprehend the role of business in the operation of global and national economic systems. X
Practical
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Organise the business operations with an entrepreneurial spirit. X
PERSONAL & OCCUPATIONAL COMPETENCES IN TERMS OF EACH OF THE FOLLOWING GROUPS
Autonomy & Responsibility
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Organise the business operations with an entrepreneurial spirit. X
Learning to Learn
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Develop the planning, organisation, operation, coordination and auditing functions of the business management. X
Communication & Social
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Communicate actively and constantly with other stakeholders in business administration profession. X
Occupational and/or Vocational
No PROGRAMME LEARNING OUTCOMES LEVEL OF CONTRIBUTION*
0 1 2 3 4 5
1 Act in accordance with moral and ethical concepts related to business administration. X
*Level of Contribution (0-5): Empty-Null (0), 1- Very Low, 2- Low, 3- Medium, 4- High, 5- Very High

No
Key Learning Outcomes of the Course Unit
On successful completion of this course unit, students/learners will or will be able to:
PROGRAMME LEARNING OUTCOMES
1 Will comprehend basic statistical concepts.1 (1), 2 (3), 3 (1)
2 Will express and explain the types of data and data collection methods used in (social) sciences.1 (1), 2 (3), 3 (1)
3 Will understand descriptive data analysis and its measures.1 (1), 2 (3)
4 Will interpret variety measures like mean, variance and standard deviation.1 (1), 2 (3)
5 Will distinguish discrete and continous variables and their probability functions.1 (1), 2 (3), 4 (2)
6 Will summarize,interpret and present research data.

Assessment
Assessment & Grading of In-Term Activities Number of
Activities
Degree of Contribution (%)
Mid-Term Exam 2 % 90
Computer Based Presentation 0 -
Short Exam 0 -
Presentation of Report 0 -
Homework Assessment 1 % 10
Oral Exam 0 -
Presentation of Thesis 0 -
Presentation of Document 0 -
Expert Assessment 0 -
Board Exam 0 -
Practice Exam 0 -
Year-End Final Exam 0 -
Internship Exam 0 -
TOTAL 3 %100
Contribution of In-Term Assessments to Overall Grade 3 %50
Contribution of Final Exam to Overall Grade 1 %50
TOTAL 4 %100


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 14 6 84
Land Surveying 0 0 0
Group Work 0 0 0
Laboratory 0 0 0
Reading 0 0 0
Assignment (Homework) 1 6 6
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
Total Workload for Learning & Teaching Activities - - 132
Workload for Assessment Activities
Type of the Assessment Activites # of Assessment Activities
Duration
(hours, h)
Workload (h)
Final Exam 1 2 2
Preparation for the Final Exam 1 6 6
Mid-Term Exam 2 1 2
Preparation for the Mid-Term Exam 1 6 6
Short Exam 0 0 0
Preparation for the Short Exam 0 0 0
Total Workload for Assessment Activities - - 16
Total Workload of the Course Unit - - 148
Workload (h) / 25.5 5.8
ECTS Credits allocated for the Course Unit 6.0

EBS : Kıbrıs İlim Üniversitesi Eğitim Öğretim Bilgi Sistemi Kıbrıs İlim Üniversitesi AKTS Bilgi Paketi AKTS Bilgi Paketi ECTS Information Package Avrupa Kredi Transfer Sistemi (AKTS/ECTS), Avrupa Yükseköğretim Alanı (Bologna Süreci) hedeflerini destekleyen iş yükü ve öğrenme çıktılarına dayalı öğrenci/öğrenme merkezli öğretme ve öğrenme yaklaşımı çerçevesinde yükseköğretimde uluslarası saydamlığı arttırmak ve öğrenci hareketliliği ile öğrencilerin yurtdışında gördükleri öğrenimleri kendi ülkelerinde tanınmasını kolaylaştırmak amacıyla Avrupa Komisyonu tarafından 1989 yılında Erasmus Programı (günümüzde Yaşam Boyu Öğrenme Programı) kapsamında geliştirilmiş ve Avrupa ülkeleri tarafından yaygın olarak kabul görmüş bir kredi sistemidir. AKTS, aynı zamanda, yükseköğretim kurumlarına, öğretim programları ve ders içeriklerinin iş yüküne bağlı olarak kolay anlaşılabilir bir yapıda tasarlanması, uygulanması, gözden geçirilmesi, iyileştirilmesi ve bu sayede yükseköğretim programlarının kalitesinin geliştirilmesine ve kalite güvencesine önemli katkı sağlayan bir sistematik yaklaşım sunmaktadır. ETIS : İstanbul Aydın University Education & Training System Cyprus Science University ECTS Information Package ECTS Information Package European Credit Transfer and Accumulation System (ECTS) which was introduced by the European Council in 1989, within the framework of Erasmus, now part of the Life Long Learning Programme, is a student-centered credit system based on the student workload required to achieve the objectives of a programme specified in terms of learning outcomes and competences to be acquired. The implementation of ECTS has, since its introduction, has been found wide acceptance in the higher education systems across the European Countries and become a credit system and an indispensable tool supporting major aims of the Bologna Process and, thus, of European Higher Education Area as it makes teaching and learning in higher education more transparent across Europe and facilitates the recognition of all studies. The system allows for the transfer of learning experiences between different institutions, greater student mobility and more flexible routes to gain degrees. It also offers a systematic approach to curriculum design as well as quality assessment and improvement and, thus, quality assurance.