Main Page     Information on the Institution     Degree Programs     General Information for Students     Türkçe  

 DEGREE PROGRAMS


 Associate's Degree (Short Cycle)


 Bachelor’s Degree (First Cycle)


 Master’s Degree (Second Cycle)

  Course Description
Course Name : Statistics I

Course Code : EM 201

Course Type : Compulsory

Level of Course : First Cycle

Year of Study : 2

Course Semester : Fall (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Assoc.Prof.Dr. MEHMET ÖZMEN
Asst.Prof.Dr. GÜLSEN KIRAL
Prof.Dr. SEDA ŞENGÜL
Asst.Prof.Dr. MERTDEMİRCİOĞLU
Prof.Dr. ERKUT DÜZAKIN

Learning Outcomes of the Course : Define basic statistical concepts.
Define basic properties of probability density and cumulative distribution functions of random variables.
Determine appropriate probability distributions for the random events experienced in business management today and calculate the probabilities of such events.
Construct and interpret statistical series, ferquency tables and charts from a given set of data
Calculate and interpret descriptive statistics from a given set of data.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : The objective of this course is to equip students with basic knowledge of probability, statistical concepts and tools to make realistic decisions in their professional life.

Course Contents : Probability theory, random variables, probability distributions, statistical series, descriptive statistics.

Language of Instruction : Turkish

Work Place : Bloc 3


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Introduction to statistics Reading the given materials Presentation and Discussion
2 Basic probability concepts and random event Reading the given materials Presentation and Discussion
3 Probability assessment methods Reading the given materials Presentation and Discussion
4 Discrete and continuous random variables Reading the given materials Presentation and Discussion
5 Probability density and cumulative distribution functions Reading the given materials Presentation and Discussion
6 Expected value Reading the given materials Presentation and Discussion
7 Variance Reading the given materials Presentation and Discussion
8 Mid-term Exam Preparation for exam Written exam
9 Basic properties of probability distributions Reading the given materials Presentation and Discussion
10 Some discrete probability distributions Reading the given materials Presentation and Discussion
11 Some continuous probability distributions Reading the given materials Presentation and Discussion
12 Statistical series Reading the given materials Presentation and Discussion
13 Frequency tables and charts Reading the given materials Presentation and Discussion
14 Descriptive statistics: Measures of central tendency Reading the given materials Presentation and Discussion
15 Descriptive statistics: Measures of variability Reading the given materials Presentation and Discussion
16/17 Final Exam Preparation for exam Written exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Paul Newbold. İşletme ve İktisat için İstatistik (Çeviren Ümit Şenesen) Literatür Yayınları.
Required Course Material(s)  AKDENİZ, F. (2010), Olasılık ve İstatistik. Nobel Kitabevi


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 60
    Homeworks/Projects/Others 0 40
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Use the basic enterprise resource planning (ERP) softwares 2
2 List and define the concepts of business management, and explain their relations to each other 4
3 List and define the fundamental conceptual models, numerical and statistical techniques of business administartion and identify their advantages and disadvantages. 4
4 List and define the relationship between the basic concepts of economy and business management ; indicate the strong and weak sides of each method. 3
5 Explain how to create the fundamental conceptual models and how to apply numerical and statistical techniques that are used in business administration. 4
6 Explain how to interpret the results gathered through the application and/or implementation of conceptual models and/or numerical and statistical methods of business management. 4
7 Determine appropriate methods to solve business problems 3
8 Evaluate the results that are obtained from applications of business management methods 3
9 Use the basic numerical and statistical softwares 3
10 Follow latest developments in the field, and sustain personal and professional development with the awareness of the necessity of life long learning 3
11 Use different resources in accordance with academic principles, synthesize the data gathered, and present them effectively in an unfamiliar field. 4
12 Use Turkish and at least one foreign language in accordance with the requirements in academic and business context 3
13 Perceive and interpret the feelings, ideas and behaviours of people appropriately, and express himself/herself accurately in written or oral format 4
14 Question traditional approaches, methods and implementations; develop and implement alternative methods when required 4
15 Recognize and apply social, scientific and professional ethical values. 4
16 Determine the most appropriate approaches, implementations and methods of business management considering sectors, their sizes, resources, cultures, goals and objectives 4
17 Monitor external factors such as industrial structures, competition, technologies, economics, politics, cultures that affects the activities of businesses and interpret their impact on businesses 4
18 Take initiative individually or/and as a member of a team, lead and work effectively 0
19 As well as professional development, improve him-/herself continuously in scientific, social, cultural and artistic fields according to his/her interests and abilities, identifying needs of learning. 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
    Homeworks, Projects, Others 0 0 0
    Mid-term Exams (Written, Oral, etc.) 1 20 20
    Final Exam 1 20 20
Total Workload: 152
Total Workload / 25 (h): 6.08
ECTS Credit: 6