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Statistics II
Department / Program Management Information Systems
Course Code 14206
Type of Course Required
Level of Course Schools
Year of Study 2016-2017
Semester Spring Semester
Number of National Credit 3
Number of ECTS 4
Name of Lecturer

Adnan KALKAN

Learning Outcomes

1. Understand sampling and sampling distributions.

2. Use point and interval estimates, and makes comments about the economy.

3. Reveals the relationship between two variables.

4.Solve the statistical problems easily by using statistical technics.

Courses Contribution to Program Learning Outcomes
    1 2 3 4 5
 1-  Determine the strategy-structure alternatives for the different organizational structures and cultures, and prepare the strategies suitable for the organizational goals.
 2-  Diagnose the problems by analyzing the organizational systems operations and performance indicator values, investigate the causes of problems and decide the solution options.
 3-  Understand the basic business functions (management, production, finance, marketing, etc.) of organizations, explain the management principles, uncover the economic losses and the causes and produce solutions.
 4-  Have the ability to know and understand the different organizational structures and cultures.
 5-  Make efforts to improve the efficiency and effectiveness of organizations.
 6-  Install, operate and monitor the system, and execute the works to ensure the continuity of the system for controlling the systems and subsystems, and for carrying out the activities effectively and efficiently to realize the objectives of organizations.
 7-  Establish and develop the infrastructure of information technology that stores, combines, reports and analyze the data coming from the surroundings and operating activities of business.
 8-  Know and use the basic business information systems (production, marketing, supply and logistics, human resources, accounting, finance).
 9-  Use mathematical models and statistical techniques.
 10-  Know and use the software project management, mobile trade, e-trade, economy, data base, technology trends.
 11-  Determines the necessary softwares for busineses, set up network if necessary, determines the systems, update the information system by following the developments in technology.
 12-  Collect the necessary information for his ideas and projects, and perform them.
 13-  Know the effective communication techniques.
 14-  Have at least one sufficient foreign language knowledge to follow the innovations in his workspace.
 15-  Develop visual content for web sites and web site desing.
 16-  Develop mobile and desktop applications using web programming languages.
 17-  Learn basic networking concepts and use server operating systems.
 18-  Use artificial intelligence algorithms and methods to perform applications.
 19-  Develop an algorithm to the problem, learn the basic programming elements.
 20-  Develop software for desktop applications.
 21-  Run SQL queries by performing relational database design.
 22-  Use database management systems.
 23-  Manage the project by using computer.
 24-  Understand the historical events, make analysis and learn from history.
 
Prerequisites None
Made of Delivery Face to Face
Work Placements NA
Recommended Optional Programme Components NA
Course Content Week Topics
1 Sampling and sampling distributions
2 Sampling and sampling distributions
3 Estimation methods
4 Point and interval estimation
5 Point and interval estimation
6 Hypothesis testing
7 Small sample distributions (t, chi-square, F)
8 Small sample distributions (t, chi-square, F)
9 Goodness of fit chi-square test and cross tables
10 ANOVA
11 Regression
12 Regression
13 SPSS non-parametric and parametric tests and applications
14 SPSS non-parametric and parametric tests and applications
Recommended Readings 1.Akdeniz, F., Olasılık ve İstatistik, Nobel Kitabevi, Adana, 2004 (Ders Kitabı) 2.Ersoy, N., Erbaş, SO, Olasılık ve İstatistiğe Giriş, 2. Baskı, Gazi Büro Kitabevi, Ankara,1996. 3.DeGroot, MH, Schervish, MJ, Probability and Statistics, 3rd Ed., P. Addison Wesley 2004
Learning Activities and Teaching Methods

Written and verbal expressions, explanations, samples, problem solvings, questions-answers technics

Assessment
  Number %
Mid-Term : 1 40
Quiz :
Assignment :
Project :
Assignment :
Laboratory :
Other :
Final Examination : 1 60
Language of Instruction Turkish
Work Placement NA
   
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-classroom study (Pre-study, practice) 14 3 42
Individual Study for Mid-term Exam(s) 1 16 16
Individual Study for Final Exam 1 18 18
Total Work Load     118
Total Work Load/ 30 (s)     3,93
ECTS Credit of the Course     4
   

 

 

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