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 : Mathematics For Statistics - I

Course Code : MAT231

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. AHMET TEMİZYÜREK

Learning Outcomes of the Course : Learn the concepts of conic, circle, ellipse, hyperbola, parabola.
Specify the quadratic surfaces.
Have the ability to carry out analytical thinking, analyses and problem solving abilities.
Use information technology for solving problems.
Understand and apply application of mathematics in real life.
Know application of derivative and apply it.
Perform and solve limits and derivatives.
Know and apply the basic functions.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : Teaching the fundamental mathematical concepts for statistical education and applying the these concepts to statistics.

Course Contents : Basic terms and definitions, Polar coordinates, Axes, translation, rotation, Cones, Circle, Ellipse, Hyperbola, The common definition of conics, parabola, Real quadratic (second order) Forms, Quadratic surfaces , Functions of several variables, Differentials, chain rule, implicit differentiation, Extrema of functions of two variables, Lagrange Multipliers, Exact differentials, gradient and directional derivatives, Jacobien Matrix, Double Integrals

Language of Instruction : Turkish

Work Place : Faculty of Arts and Sciences Annex Classrooms


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Basic terms and definations in analytic geometry Reading the source ,problem solving Face to face description method,Solving problems, Discussion
2 Polar coordinates, axes, translation, rotation Reading the source ,problem solving Face to face description method,Solving problems, Discussion
3 Cones, circle Reading the source ,problem solving Face to face description method,Solving problems, Discussion
4 Ellipse, Hyperbola Reading the source ,problem solving Face to face description method,Solving problems, Discussion
5 The common definition of conics, parabola Reading the source ,problem solving Face to face description method,Solving problems, Discussion
6 Real quadratic (second order) Forms Reading the source ,problem solving Face to face description method,Solving problems, Discussion
7 Quadratic surfaces and determination of these surfaces Reading the source ,problem solving Face to face description method,Solving problems, Discussion
8 Mid-term exam Review the topics discussed in the lecture notes and sources Written exam
9 Functions of several variables Reading the source ,problem solving Face to face description method,Solving problems, Discussion
10 Differentials, chain rule, implicit differentiation Reading the source ,problem solving Face to face description method,Solving problems, Discussion
11 Extrema of functions of two variables Reading the source ,problem solving Face to face description method,Solving problems, Discussion
12 Lagrange Multipliers Reading the source ,problem solving Face to face description method,Solving problems, Discussion
13 Exact differentials, gradient and directional derivatives Reading the source ,problem solving Face to face description method,Solving problems, Discussion
14 Jacobien Matrix Reading the source ,problem solving Face to face description method,Solving problems, Discussion
15 Double Integrals Reading the source ,problem solving Face to face description method,Solving problems, Discussion
16/17 Final Exam Review the topics discussed in the lecture notes and sources Written exam


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Analize Giriş ,Cilt 2, F.Akdeniz, Ünlü Y., Dönmez D. Nobel Kitabevi,2006.
  Analitik Geometri, Kaya R., Bilim Teknik Yayınevi, 2002.
 Calculus with Analytic Geometry,Silverman R.A.,Prentice Hall Inc.,London.,1985
 Yüksek Matematik Problemleri, Cilt1, Karadeniz A., Çağlayan Kitabevi,1991
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 80
    Homeworks/Projects/Others 5 20
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 Utilize computer systems and softwares 2
2 Apply the statistical analyze methods 0
3 Make statistical inference(estimation, hypothesis tests etc.) 0
4 Generate solutions for the problems in other disciplines by using statistical techniques 0
5 Discover the visual, database and web programming techniques and posses the ability of writing programme 0
6 Construct a model and analyze it by using statistical packages 0
7 Distinguish the difference between the statistical methods 0
8 Be aware of the interaction between the disciplines related to statistics 5
9 Make oral and visual presentation for the results of statistical methods 0
10 Have capability on effective and productive work in a group and individually 3
11 Develop scientific and ethical values in the fields of statistics-and scientific data collection 0
12 Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 5
13 Emphasize the importance of Statistics in life 0
14 Define basic principles and concepts in the field of Law and Economics 0
15 Produce numeric and statistical solutions in order to overcome the problems 4
16 Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 0
17 Use proper methods and techniques to gather and/or to arrange the data 1
18 Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs 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 4 56
    Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
    Homeworks, Projects, Others 5 2 10
    Mid-term Exams (Written, Oral, etc.) 1 20 20
    Final Exam 1 20 20
Total Workload: 148
Total Workload / 25 (h): 5.92
ECTS Credit: 6