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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 : 5 Name of Lecturer(s) : Asst.Prof.Dr. GÜLSEN KIRAL Prof.Dr. SEDA ŞENGÜL Learning Outcomes of the Course : Explain basic statistical concepts Explain data using graphical methods by creating frequency distributions of ungrouped (raw) data Be able to distinguish between the concepts of permutation and combination Calculate the probability of an event by learning the basic definitions and concepts related to the probability Be able to comment the concept of random variables and discrete / continuous random variable distinction Distinguish basic features such as expected values and variances, possibility function of random variables Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Learn how to use descriptive statistics when encountered with grouped or ungrouped (raw) data. Course Contents : Learn how to use descriptive statistics when encountered with grouped or ungrouped (raw) data. In addition, how to calculate and interpret basic concepts of probability rules, random variables, discrete / continuous variable separation. Language of Instruction : Turkish Work Place : Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Motivation: Resources and explanation of basic concepts Readings Lecture 2 Preparation and Analysis of Data Readings Lecture, Problem Session 3 Measures of central tendency for grouped and ungrouped data, calculating and comparing. Readings, Problem Set and Application Lecture, Problem Session 4 Measures of central tendency for grouped and ungrouped data, calculating and comparing. Readings, Problem Set and Application Lecture, Problem Session 5 Set Theory and the Sample Space Concept Readings Lecture, Problem Session 6 Permutations and Combinations Readings, Problem Set and Application Lecture, Problem Session 7 Introduction to Probability: Axioms of Probability, Probability Calculus, Conditional Probability, Independent Events and Bayes´ theorem Readings, Problem Set and Application Lecture, Problem Session 8 Mid-term exam prepare to exam written exam 9 Distributions of random variables and discrete random variables Readings, Problem Set and Application Lecture, Problem Session 10 Distributions of continuous random variables Readings, Problem Set and Application Lecture, Problem Session 11 Calculation of the expected value and variance of a random variable Readings, Problem Set and Application Lecture, Problem Session 12 The basic properties of Bernoulli and Binomial Distributions Readings, Problem Set and Application Lecture, Problem Session 13 The basic properties of geometric and Poisson Distributions Readings, Problem Set and Application Lecture, Problem Session 14 The basic properties of discrete uniform distribution and mixed applications for the consolidation of five discrete distributions Readings, Problem Set and Application Lecture, Problem Session 15 General problem solving and application Problem Set and Application Problem Session 16/17 Final Exam prepare to exam written exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)     Required Course Material(s)         Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 100     Homeworks/Projects/Others 0 0 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 Explain the importance of demand and supply in economy science and the well-running conditions of the market economy 0 2 Define the role of pricing within the event advantage of the market economy. 0 3 Define the role of the state in economy, money and financial policies, the central bank and the structure of the market. 0 4 Perceive the costs and benefits arising from the global economy 0 5 Produce numerical and policy options when confronted with problems. 4 6 Use quantitative and qualitative techniques of model building, decoding and interpretation. 4 7 Use the theory of economics in the analysis of economic events. 0 8 Use computer programs, do synthesis and present prepared data efficiently. 3 9 Apply the methods of economic analysis. 2 10 Analyze at conceptual level and acquires ability in comparing, interpreting, evaluating and synthesizing in order to develop solutions to problems 4 11 Take responsibility individually and / or in a team, take leadership and work effectively. 0 12 Follow innovative developments in the field being aware of the necessity of lifelong learning and improving him-/herself.. 1 13 Use of different sources about an unfamiliar field within academic principles, synthesize gained data and presents effectively. 2 14 Use Turkish and at least one foreign language in accordance with the requirements of academic and work life. 0 15 Understand and interpret related people´s feelings, thoughts, and behaviours correctly; expresse him-/herself accurately in written and oral language. 2 16 Question traditional attitudes, applications and methods, develop and apply new methods when needed. 4 17 Recognize and apply social, scientific and professional ethical values. 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 4 56 Assesment Related Works     Homeworks, Projects, Others 0 0 0     Mid-term Exams (Written, Oral, etc.) 1 16 16     Final Exam 1 18 18 Total Workload: 132 Total Workload / 25 (h): 5.28 ECTS Credit: 5