Industrial Engineering

Statistics(ING242)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
ING242 Statistics 4 2 2 0 3 5
Prerequisites
Admission Requirements
Language of Instruction French
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Merve GÜLER KESMEZ gulermerve93@gmail.com (Email) Esin MUKUL TAYLAN esinmukul@hotmail.com (Email)
Assistant
Objective The objective of this course is to familiarize students with basic concepts and tools of statistical methodology
Content 1. Statistics as a tool of decision
2. Statistical series, function of distribution and measures of central tendency
3. Measures of dispersion
4. Probability
Course Learning Outcomes 1. The fundamental tools of statistics
2. Probability
3. Statistical series, distribution function and measures of central tendency
4. Measures of dispersion
Teaching and Learning Methods Analysis and examples
References Bernard Grais, “Statistique descriptive”,3eme edition, Dunod, Paris.
Vincent Giard, "Statistiques Appliquées a la Gestion", Edition Economica,Paris.
Paul Newbold, William L.Carlson, Betty Thorne, “Statistics for Business and Economics”, 6th edition, Prentice Hall, Upper Saddle River, New Jersey, 2007
Roger C. Pfaffenberger, James H. Patterson, “Statistical Methods for Business and Economics”, Irwin 2003Business Communication Today
Print the course contents
Theory Topics
Week Weekly Contents
1 Introduction to Statistics
2 Statistical series
3 Graphs to describe numerical variables
4 Measures of central tendency
5 Measures of variability
6 Probability and its postulates
7 Probability Rules
8 Midterm exam
9 Bayes theorem
10 Random variables, mathematical expectation, variance and standard deviation
11 Hypergeometric distribution, Binomial distribution
12 The poisson probability distribution, the normal distribution
13 Discrete random variables and probability distributions
14 Continuous random variables and probability distributions
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 2 50
Contribution of final exam to overall grade 1 50
Toplam 3 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 2 50
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 2 50
No Program Learning Outcomes Contribution
1 2 3 4 5
1 Knowledge and understanding of a wide range of basic sciences (math, physics, ...) and the main concepts of engineering X
2 Ability to combine the knowledge and skills to solve engineering problems and provide reliable solutions X
3 Ability to select and apply methods of analysis and modeling to ask, reformulate and solve the complex problems of industrial engineering X
4 Ability to conceptualize complex systems, processes or products under practical constraints to improve their performance, ability to use innovative methods of design X
5 Ability to design, select and apply methods and tools needed to solve problems related to the practice of industrial engineering, ability to use computer technology X
6 Ability to design experiments, collect and interpret data and analyze results X
7 Ability to work independently, ability to participate in working groups and have a multidisciplinary team spirit X
8 Ability to communicate effectively, ability to speak at least two foreign languages X
9 Awareness of the need for continuous improvement of lifelong learning, ability to keep abreast of scientific and technological developments to use the tools of information management X
10 Awareness of professional and ethical responsibility X
11 Knowledge of the concepts of professional life as "project management", "risk management" and "management of change" X
12 Knowledge on entrepreneurship, innovation and sustainability X
Activities Number Period Total Workload
Class Hours 14 4 56
Working Hours out of Class 7 2 14
Assignments 3 2 6
Midterm Examinations (including preparation) 2 16 32
Final Examinations (including preparation) 1 22 22
Quiz 5 1 5
Total Workload 135
Total Workload / 25 5,40
Credits ECTS 5
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